From pkordjam at tulane.edu Tue May 1 08:40:47 2018
From: pkordjam at tulane.edu (Kordjamshidi, Parisa)
Date: Tue, 1 May 2018 12:40:47 +0000
Subject: Connectionists: Fwd: [cfp]: COGNITIVE VISION / IJCAI-ECAI 2018
Workshop
References: <9A262C4E-EC5C-4063-8273-D184B62148C6@uni-bremen.de>
Message-ID: <7B807044-AA67-4541-9E01-01232BEFF353@tulane.edu>
[Apologies if you receive multiple copies of this CFP]
## IJCAI-ECAI 2018 WORKSHOP / CALL FOR PAPERS ##
COGNITIVE VISION
? Integrated Vision and AI for Embodied Perception and Interaction
Workshop Chairs: Mehul Bhatt, Alessandra Russo, Parisa Kordjamshidi
The 27th International Joint Conference on Artificial Intelligence and
the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)
IJCAI-ECAI 2018 / Stockholm, Sweden
www.codesign-lab.org/faim18-cogvis
## ABOUT THE WORKSHOP ##
The workshop on COGNITIVE VISION solicits contributions addressing computational vision and perception at the interface of language, logic, cognition, and artificial intelligence. The workshop brings together a novel & unique combination of academics and research methodologies encompassing AI, Cognition, and Interaction. The workshop will feature invited and contributed research advancing the practice of Cognitive Vision particularly from the viewpoints of theories and methods developed within the fields of:
? Artificial Intelligence
? Computer Vision
? Spatial Cognition and Computation
? Cognitive Science and Psychology
? Visual Perception
? Cognitive Linguistics
Application domains being addressed include, but are not limited to:
? autonomous driving
? cognitive robotics
? vision for UAVs
? visual art, fashion, cultural heritage
? vision in biology (e.g., animal, plant)
? vision and VR
? vision for social science, humanities
? vision for psychology, human behaviour studies
? social signal processing, social media
? remote sensing, GIS
? medical imaging
## TECHNICAL FOCUS ##
The principal emphasis of the workshop is on the integration of vision and artificial intelligence from the viewpoints of embodied perception, interaction, and autonomous control. In addition to basic research questions, the workshop addresses diverse application areas where, for instance, the processing and semantic interpretation of (potentially large volumes of) highly dynamic visuo-spatial imagery is central: autonomous systems, cognitive robotics, medical & biological computing, social media, cultural heritage & art, social media, psychology and behavioural research domains where data-centred analytical methods are gaining momentum. Particular themes of high interest solicited by the workshop include:
? methodological integrations between Vision and AI
? declarative representation and reasoning about spatio-temporal dynamics
? deep semantics and explainable visual computing (e.g., about space and motion)
? vision and computational models of narrative
? cognitive vision and multimodality (e.g., multimodal semantic interpretation)
? visual perception (e.g., high-level event perception, eye-tracking)
? applications of visual sensemanking for social science, humanities, and human behaviour studies
The workshop emphasises application areas where explainability and semantic interpretation of dynamic visuo-spatial imagery are central, e.g., for commonsense scene understanding; vision for robotics and HRI; narrative interpretation from the viewpoints of visuo-auditory perception & digital media, sensemaking from (possibly multimodal) human-behaviour data where the principal component is visual imagery.
We welcome contributions, position statements, perspectives addressing the workshop themes from formal, cognitive, computational, engineering, empirical, psychological, and philosophical perspectives. Please consult the workshop website for a list of indicative topics: http://codesign-lab.org/faim18-cogvis/
## SUBMISSION REQUIREMENTS ##
Submitted papers must be formatted according to IJCAI guidelines (details here: IJCAI-ECAI 18 guidelines); in summary, all contributions should be no longer than 7 single-spaced pages (6 pages max for content, 1 page max for references). Contributions may be submitted as: (1). technical papers; (2) position statements; or (3) work in progress. Submissions should only be made electronically as PDF documents via the paper submission site: https://easychair.org/conferences/?conf=cogvis2018
## IMPORTANT DATES IN 2018 ##
? Submissions: May 20
? Notification: June 4
? Camera Ready: June 20
? Workshop Date: To be confirmed
? Conference: July 13 - 19
## WORKSHOP CHAIRS ##
Mehul Bhatt (?rebro University, Sweden / University of Bremen, Germany)
Alessandra Russo (Imperial College London, United Kingdom)
Parisa Kordjamshidi (Tulane University, Florida Institute for Human and Machine Cognition, United States)
========================================================================================
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From nsmattei at gmail.com Tue May 1 13:44:25 2018
From: nsmattei at gmail.com (Nicholas Mattei)
Date: Tue, 01 May 2018 17:44:25 +0000
Subject: Connectionists: [Final Call For Papers] AAMAS-IJCAI workshop on
Agents & Incentives in AI (AI^3 2018)
Message-ID:
Final Call for Papers: the AAMAS-IJCAI workshop on Agents & Incentives in
AI (AI^3 2018)
Stockholm, Sweden, July 13-15, 2018
Webpage: https://sites.google.com/site/ai3workshop/
Please Note: We have modified the deadlines to accommodate those wishing to
submit early and receive notification before the IJCAI Early Registration
Deadline.
************************************************************
MISSION
************************************************************
Over the past two decades, there has been an increasing focus on the issue
of agent incentives in decentralized and centralized AI systems. These
issues come up when designing preference aggregation mechanisms and
markets; computing equilibria, and bidding strategies; facilitating
cooperation among agents, and fairly dividing resources. Building on the
Federated AI Meeting (FAIM) happening this year in Stockholm, multiple
workshops (AGT at IJCAI, AMEC, CoopMAS, EXPLORE) have joined hands to be the
main venue to show off novel work being done in these areas.
All submissions will be peer-reviewed and evaluated on the basis of the
quality of their contribution, originality, significance, and the potential
to generate fruitful discussions. Industrial applications and position
papers presenting novel ideas, issues, challenges, and directions are also
welcome.
************************************************************
PAPER SUBMISSION
************************************************************
We invite submissions in all areas related to this interplay of incentives,
agents, and AI, and in particular on the following topics:
* Algorithmic mechanism design
* Auctions
* Behavioral Game Theory
* Bounded rationality
* Cooperation and collaboration
* Computational advertising
* Computational aspects of equilibria
* Computational social choice
* Coalitions, coordination, collective action, and cooperation
* Economic aspects of security and privacy
* Economic aspects of distributed and network computing
* Equilibrium computation
* Empirical approaches to electronic markets
* Fair Division
* Incentives in machine learning
* Information and attention economics
* Learning in games (e.g., solution concepts and equilibria)
* Matching Markets
* Mechanism design
* Price differentiation and price dynamics
* Social networks
* Strategic behavior
* Trading agent design and analysis
* Uncertainty in AI and economics
Proceedings Publication:
To widen participation and encourage discussion, there will be no formal
publication of workshop proceedings. We will, however, post the accepted
papers online to the benefit of the participants to the workshop.
Therefore, submission of preliminary work and papers to be submitted or in
preparation for submission to other major venues in the field are
encouraged.
In addition, papers published/presented after IJCAI 2017 or later (which
are not presented orally at any FAIM conference -- we will have lightening
talks for these papers) can be submitted. We specifically encourage papers
accepted to FAIM as posters to be submitted for oral presentation
consideration.
Please contact either one of the program chairs in case of any questions:
Sofia Ceppi (sofia at prowler.io)
Omer Lev (omerlev at bgu.ac.il)
************************************************************
IMPORTANT DATES
************************************************************
* Early Submission Deadline: 5 May, 2018
Since the notifications will be after the IJCAI early registration deadline
(May 31st), we will give the option to authors who want an early
notification to submit by May 5th and state explicitly that you ask for
early notification.
* Submission Deadline: 14 May, 2018
* Acceptance Notification: 10 June, 2018
* Joint IJCAI/ECAI/AAMAS/ICML Workshops: 13-15 July, 2018
**********************************************************************
ORGANIZATION
**********************************************************************
** Program Chairs **
Sofia Ceppi
Omer Lev
** Steering Committee **
Reshef Meir (AGT at IJCAI)
Chen Hajaj and Valentin Robu (AMEC/TADA)
Yair Zick (CoopMAS)
Nicholas Mattei, Haris Aziz, John P. Dickerson, (EXPLORE)
**********************************************************************
SUBMISSION DETAILS
**********************************************************************
Submission Site: Authors should submit full papers electronically in PDF
format at https://easychair.org/conferences/?conf=ai30
Formatting Guidelines: Please format papers according to the Springer LNCS
Style (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Templates for Word and Latex are available.
Paper Length: Papers can be at most 12 pages long plus 2 additional pages
for reference. Supplemental material can be appended at the end of the
paper. However, reviewers are instructed to make their evaluations based on
the main submission, and are not obligated to consult the supplemental
material.
--
Nicholas Mattei
Research Staff Member | IBM Research AI
IBM T.J. Watson Research Center
1101 Kitchawan Road, Office 33-238, Yorktown Heights, NY 10598
E: n.mattei at ibm.com | T: +1 914 945 3305
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From k.schwarzwaelder at fz-juelich.de Wed May 2 06:12:10 2018
From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder)
Date: Wed, 2 May 2018 12:12:10 +0200
Subject: Connectionists: Call for Abstracts: Bernstein Conference 2018 in
Berlin
In-Reply-To: <0f41e608-ec1d-a3a4-e999-108268df8408@fz-juelich.de>
References: <0f41e608-ec1d-a3a4-e999-108268df8408@fz-juelich.de>
Message-ID: <94663e3b-2422-983f-2fe1-5a07543daf95@fz-juelich.de>
Call for Abstracts: Bernstein Conference 2018 in Berlin
**************************************************************
Satellite Workshops September 25-26, 2018
Main Conference September 26-28, 2018
PhD Symposium September 28-29, 2018
**************************************************************
The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference, taking place from September 26-28, 2018, will be accompanied by
satellite workshops taking place from September 25-26, 2018, and a PhD symposium which will be held from September 28-29, 2018. An important part of the main conference will be the two poster sessions.
We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster
presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier
submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital
Object Identifiers (DOI).
DETAILS FOR ABSTRACT SUBMISSION:
For abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts
Poster space is limited and early submission is encouraged.
Submission of an abstract does not replace conference registration (www.bernstein-network.de/de/bernstein-conference/2018/registration).
ABSTRACT SUBMISSION DEADLINES:
Abstracts aimed as contributed talks and posters: June 21, 2018
Abstracts aimed as posters only: July 17, 2018
TRAVEL GRANTS:
To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 ?. Please find further information under www.bernstein-network.de/de/bernstein-conference/2018/apply-for-a-travel-grant
ACCOMMODATION AND HOTEL RESERVATION:
We strongly recommend early room booking!
The number of available accommodation is limited!
We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone.
Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels).
We would like to emphasize that these room contingents will be held open up to different expiration dates depending
on the hotel (or until they are filled).
VENUE SATELLITE WORKSHOPS:
Marchstrasse 23
10587 Berlin
(10 min. walk from the Technische Universit?t Berlin (TU Berlin) Main Building)
VENUE MAIN CONFERENCE:
Technische Universit?t Berlin (TU Berlin)
Main Building
Strasse des 17. Juni 135
10623 Berlin
VENUE PHD SYMPOSIUM:
Bernstein Center Berlin
Campus Nord
Philippstrasse 13
House 6
10115 Berlin
For more information on the conference, please visit the website www.bernstein-conference.de
We are looking forward to welcoming you in Berlin!
Conference Chair: Andreas Herz
Conference Host: Henning Sprekeler
Program Chair: Gilles Laurent
Program Vice Chair: Susanne Schreiber
Workshop Chair: Jakob Macke
Workshop Vice Chair: Tatjana Tchumatchenko
Technical Organization: Bernstein Coordination Site (BCOS):
Alexandra Stein, Kerstin Schwarzwaelder
--
Dr. Kerstin Schwarzw?lder
Scientific Coordination / Management Officer
Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de
Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS)
Branch Office of the Forschungszentrum J?lich
at the University of Freiburg
Hansastr. 9A | 79104 Freiburg, Germany
phone: (+49) 0761 203 9589
mail: k.schwarzwaelder at fz-juelich.de
web: www.nncn.de
Twitter: NNCN_Germany
YouTube: Bernstein TV
Facebook: Bernstein Network Computational Neuroscience, Germany
LinkedIn: Bernstein Network Computational Neuroscience, Germany
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
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From carsten.mehring at biologie.uni-freiburg.de Wed May 2 06:55:28 2018
From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring)
Date: Wed, 2 May 2018 12:55:28 +0200
Subject: Connectionists: MSc Neuroscience - University of Freiburg, Germany
Message-ID:
MSc program in Neuroscience - University of Freiburg, Germany
We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2018 entry is the 30th of May 2018.
Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de
Please contact mscneuro at uni-freiburg,de for further questions.
With kind regards
Carsten Mehring
?
Bernstein Center Freiburg &
Faculty of Biology
University of Freiburg
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From ijcci at insticc.info Wed May 2 09:47:57 2018
From: ijcci at insticc.info (ijcci at insticc.info)
Date: 2 May 2018 14:47:57 +0100
Subject: Connectionists: CFP IJCCI 2018 - 10th Int.l Joint Conf. on
Computational Intelligence (Seville/Spain)
Message-ID: <20180502134757.1.0BE0BA791319D913@insticc.info>
SUBMISSION DEADLINE
10th International Joint Conference on Computational Intelligence
Submission Deadline: May 24, 2018
http://www.ijcci.org/
September 18 - 20, 2018
Seville, Spain.
IJCCI is organized in 4 major tracks:
- Evolutionary Computation
- Fuzzy Computation
- Neural Computation
- Cognitive and Hybrid Systems
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer.
All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
Should you have any question please don?t hesitate contacting me.
Kind regards,
IJCCI Secretariat
Address: Av. D. Manuel I, 27A, 2? esq.
2910-595 Setubal, Portugal
Tel: +351 265 520 184
Fax: +351 265 520 186
Web: http://www.ijcci.org/
e-mail: ijcci.secretariat at insticc.org
From neurotechnix at insticc.info Wed May 2 09:48:10 2018
From: neurotechnix at insticc.info (neurotechnix at insticc.info)
Date: 2 May 2018 14:48:10 +0100
Subject: Connectionists: CFP NEUROTECHNIX 2018 - 6th Int.l Congress on
Neurotechnology, Electronics and Informatics (Seville/Spain)
Message-ID: <20180502134811.1.2DFA794A8A3CD44E@insticc.info>
SUBMISSION DEADLINE
6th International Congress on Neurotechnology, Electronics and Informatics
Submission Deadline: May 24, 2018
http://www.neurotechnix.org/
September 20 - 21, 2018
Seville, Spain.
NEUROTECHNIX is organized in 4 major tracks:
- Neural Rehabilitation and Neuroprosthetics
- Neuroimaging and Neurosensing
- Neuroinformatics and Neurocomputing
- Neuromodulation and Neural Engineering
With the presence of internationally distinguished keynote speakers:
Julio Abascal, University of the Basque Country/Euskal Herriko Uniberstitatea, Spain
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer.
All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
Should you have any question please don?t hesitate contacting me.
Kind regards,
NEUROTECHNIX Secretariat
Address: Av. D. Manuel I, 27A, 2? esq.
2910-595 Setubal, Portugal
Tel: +351 265 520 184
Fax: +351 265 520 186
Web: http://www.neurotechnix.org/
e-mail: neurotechnix.secretariat at insticc.org
From phycs at insticc.info Wed May 2 09:48:27 2018
From: phycs at insticc.info (phycs at insticc.info)
Date: 2 May 2018 14:48:27 +0100
Subject: Connectionists: CFP PhyCS 2018 - 5th Int.l Conf. on Physiological
Computing Systems (Seville/Spain)
Message-ID: <20180502134827.1.0DCFA5F63B138A0E@insticc.info>
SUBMISSION DEADLINE
5th International Conference on Physiological Computing Systems
Submission Deadline: May 24, 2018
http://www.phycs.org/
September 19 - 21, 2018
Seville, Spain.
PhyCS is organized in 4 major tracks:
- Devices
- Methodologies and Methods
- Human Factors
- Applications
With the presence of internationally distinguished keynote speakers:
Eduardo Rocon, Consejo Superior de Investigaciones Cient?ficas, Spain
Lucas Noldus, Noldus Information Technology bv, Netherlands
Georgios N. Yannakakis, University of Malta, Malta
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer.
All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
Should you have any question please don?t hesitate contacting me.
Kind regards,
PhyCS Secretariat
Address: Av. D. Manuel I, 27A, 2? esq.
2910-595 Setubal, Portugal
Tel: +351 265 520 184
Fax: +351 265 520 186
Web: http://www.phycs.org/
e-mail: phycs.secretariat at insticc.org
From smart at neuralcorrelate.com Wed May 2 10:16:56 2018
From: smart at neuralcorrelate.com (Susana Martinez-Conde)
Date: Wed, 2 May 2018 10:16:56 -0400
Subject: Connectionists: call for illusion submissions: the 14th Best
Illusion of the Year Contest
In-Reply-To: <00df01d3e21f$fe774810$fb65d830$@neuralcorrelate.com>
References: <009401d3e21d$3e7154e0$bb53fea0$@neuralcorrelate.com>
<00b901d3e21f$a24523a0$e6cf6ae0$@neuralcorrelate.com>
<00d001d3e21f$db5d1350$921739f0$@neuralcorrelate.com>
<00df01d3e21f$fe774810$fb65d830$@neuralcorrelate.com>
Message-ID: <010501d3e220$39fdedd0$adf9c970$@neuralcorrelate.com>
****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 14TH ANNUAL BEST ILLUSION OF
THE YEARSM CONTEST****
http://illusionoftheyear.com
We are happy to announce the 14th edition of world's Best Illusion of the
YearSM Contest!! Submissions are now welcome!
In 2015, the Best Illusion of the YearSM Contest became an annual online
event, with the goal of bringing the creativity of the illusion creator
community all around the world. Anybody with an internet connection can now
participate! No matter where you live, you can be a contestant, and/or vote
for the Top 3 winners!
Contestants are invited to submit 1-minute YouTube videos featuring novel
illusions (unpublished, or published no earlier than 2017) of all sensory
modalities (visual, auditory, etc.) and/or cognitive nature.
The content of the 1-minute video presenting your illusion is solely up to
you, and the only requirement is that it wows all viewers! Some examples
include, but are not limited to:
* -A slide presentation, or succession of images, with a voice over
(and/or written text, if you prefer)
* -A video of yourself describing your illusion
* -A video animation/enactment of your illusion
An international panel of impartial judges will rate all the videos and
narrow them down to the Top 10. Then, online voters around the world will
choose their favorite illusions from the Top 10 finalists. All Top 10
finalists will receive a commemorative plaque.
In addition, the Top 3 winners will receive cash prizes: $3,000 USD for
first place; $2,000 USD for second place, and $1,000 USD for third place.
The Judge Panel will rate illusions according to:
* -Significance to our understanding of the human mind and brain
* -Simplicity of the description
* -Sheer beauty
* -Counterintuitive quality
* -Spectacularity
Submissions will be held in strict confidence by the Judge Panel. Only the
Top 10 illusions will be posted online, to allow worldwide voting.
Participation in the Best Illusion of the YearSM Contest does not preclude
you from also submitting your work for publication elsewhere. By
participating in the Best Illusion of the YearSM Contest you agree to have
your illusion posted on the Contest website, if selected among the Top 10,
and included in press releases and other promotional materials/fundraising
initiatives for the Contest. You (and your co-authors, if appropriate) will
retain the full copyright of your illusion, and receive full credit as
illusion creator(s).
Illusions submitted to previous editions of the contest can be re-submitted
to the 2018 Contest, as long as they meet the above requirements and were
not among the Top 10 finalists in previous years.
You can send your 1-minute video to Susana Martinez-Conde via email (
smart at neuralcorrelate.com) until June 25,
2018.
On behalf of the Executive Board of the Neural Correlate Society:
Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez,
Xoana Troncoso, Peter Tse
--------------------------------------
Susana Martinez-Conde, PhD
Author, Champions of Illusion and Sleights
of Mind
Professor of Ophthalmology, Neurology, and Physiology & Pharmacology
State University of New York (SUNY)
Downstate Medical Center
450 Clarkson Ave, Brooklyn NY 11203, USA
Email: smart at neuralcorrelate.com
Phone: +1 718-270-4520
http://smc.neuralcorrelate.com
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From navlakha at salk.edu Wed May 2 12:45:51 2018
From: navlakha at salk.edu (Saket Navlakha)
Date: Wed, 2 May 2018 09:45:51 -0700
Subject: Connectionists: Biological Distributed Algorithms 2018 -- final
call -- generous travel support available
Message-ID:
================================================================
The 6th Workshop on Biological Distributed Algorithms (BDA 2018)
July 23, 2018 in London, UK. Co-located with PODC 2018
http://www.snl.salk.edu/~navlakha/BDA2018/
================================================================
NOTE: Travel funding available for *all* presenters. Please submit by May 7th!
We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks.
BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention).
This is a one-day workshop.
===========
SUBMISSIONS
===========
We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages.
Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183
Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues.
==============
TRAVEL SUPPORT
==============
This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight/train to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author.
===============
IMPORTANT DATES
===============
May 7, 2018 (AoE) ? Extended abstract submission deadline
May 26, 2018 ? Decision notifications
July 23, 2018 ? Workshop
===============================
INVITED (PRE-SELECTED) SPEAKERS
===============================
Vijay Balasubramanian, U Penn
Luca Cardelli, Microsoft Research
Roderich Gross, U Sheffield
Ana Sendova-Franks, UWE Bristol
Damien Woods, Inria
(more to come)
=================
PROGRAM COMMITTEE
=================
Ziv Bar-Joseph, CMU
Anna Dornhaus, University of Arizona
Yuval Emek, Technion
Amos Korman, CNRS and University of Paris Diderot
Nancy Lynch, MIT
Melanie Moses, University of New Mexico
Saket Navlakha, Salk Institute
Merav Parter, Weizmann
Andrea Richa, Arizona State University
Nir Shavit, MIT
==========================
ORGANIZERS (and PC CHAIRS)
==========================
Yuval Emek, Amos Korman, and Saket Navlakha
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From victor.elvira.arregui at gmail.com Wed May 2 13:20:46 2018
From: victor.elvira.arregui at gmail.com (=?UTF-8?Q?V=C3=ADctor_Elvira?=)
Date: Wed, 2 May 2018 13:20:46 -0400
Subject: Connectionists: Two PhD positions in Lille (France): Sequential
Bayesian Inference Methods for Complex Dynamical Systems
Message-ID:
*TOPIC*
Sequential Bayesian Inference Methods for Complex Dynamical Systems
*BRIEF SUMMARY*
Many problems in different scientific domains can be described through
statistical models that relate the sequential observed data to a hidden
process through some unobserved parameters. In the Bayesian framework, the
probabilistic estimation of the unknowns is represented by the posterior
distribution of these parameters. However, in most of the realistic models,
the posterior is intractable and must be approximated. Importance Sampling
(IS)-based algorithms are Monte Carlo methods that have shown a
satisfactory performance in many problems of Bayesian inference.
In this thesis, we will study IS-based methods for probabilistic inference
in complex non-linear high-dimensional systems. More specifically, we will
propose novel adaptation schemes in order to overcome current limitations
of more traditional IS-based techniques in such a challenging context.
Many applications can be benefited from the development of these
methodologies, including inference in gene regulatory networks, indoor
localization problems, spatial-temporal field reconstruction, among many
others.
*WHERE AND WHEN*
Two fully funded PhD position are available in Lille from September/October
2018 at IMT Lille Douai and laboratory CRIStAL. Earlier start date can be
also considered. Lille is a vibrant, young and dynamic city. Lille lies in
the heart of the triangle that links three of Europe?s main metropoles:
London (80 min), Paris (60 min), and Brussels (35 min).
*WITH WHO*
The students will be supervised by:
- V?ctor Elvira: http://pagesperso.telecom-lille.fr/elvira/
- Fran?ois Septier: http://pagesperso.telecom-lille.fr/septier/
*CANDIDATE PROFILE*
We are looking for two motivated and talented PhD students with:
- background in signal processing, statistics or applied mathematics
- strong mathematical skills
- experience in programming, preferably in Matlab and/or Python.
* CONTACT *
If you have any question and/or want to apply, please contact:
- V?ctor Elvira: victor.elvira at imt-lille-douai.fr
- Fran?ois Septier: francois.septier at imt-lille-douai.fr
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From marcel.van.gerven at gmail.com Wed May 2 13:29:19 2018
From: marcel.van.gerven at gmail.com (Marcel van Gerven)
Date: Wed, 2 May 2018 19:29:19 +0200
Subject: Connectionists: Assistant Professorship in Cognitive Robotics at
the Donders Institute, Radboud University, the Netherlands
Message-ID: <556A4BBD-18BC-47B6-A249-477907C68BC8@gmail.com>
Assistant Professor of Cognitive Robotics (1.0 FTE)
Faculty of Social Sciences
Vacancy number: 24.21.18
Application deadline: 16 May 2018
Applications
To apply, please use the apply button on the following page: http://www.ru.nl/werken/details/details_vacature_0/?recid=601434
Responsibilities
Given the rapidly growing Artificial Intelligence department at Radboud University (Nijmegen, Netherlands), we are seeking an assistant professor in Cognitive Robotics. The department?s ambitions are (1) to develop intelligent machines that show human-level performance in challenging real-world settings, (2) to understand the computational basis of the human mind and (3) to improve the interaction between humans and machines. We seek candidates who conduct research in cognitive robotics using state-of-the-art algorithms.
You will be expected to:
? ideally be available as of 1 September 2018;
? perform top-quality research in Robotics and Artificial Intelligence;
? establish and execute an externally funded research programme;
? interact and collaborate with other researchers and specialists in academia and/or industry;
? develop courses in robotics and conduct teaching at undergraduate and post-graduate levels;
? be an inspiring member of our staff with excellent communication skills.
Work environment
Radboud University Strategically located in Europe, Radboud University is one of the leading academic communities in the Netherlands. A place with a personal touch, where top-flight education and research take place on a beautiful green campus in modern buildings with state-of-art facilities.
Faculty of Social Sciences
You will be embedded in the Donders Centre for Cognition (DCC), part of the Donders Institute, and the school of Psychology and Artificial Intelligence (AI), both part of the Faculty of Social Sciences. The Donders Institute for Brain, Cognition and Behaviour is home to more than 700 researchers from 35 countries who collaborate in an open community and share the goal of contributing to the advancement of the brain, cognitive and behavioural sciences through investigator-driven research, and improving health, education and technology by applying scientific insights. The objective of the
assistent professorship is to develop state-of-the-art AI research of international standing and to contribute to the teaching, guiding students to grow in insight, skill set and future perspective. The AI department has access to excellent facilities such as a computing cluster, robot lab, a virtual reality lab, brain imaging (EEG/MEG/MRI/TMS), behavioural labs, and a technical support group.
What we expect from you
? a PhD degree in Robotics, Artificial Intelligence, Computer Science or a related discipline and post-doctoral experience;
? excellent track record in scientific research, as evidenced by publications in academic journals;
? proven ability to provide inspiring teaching in English;
? Dutch university teaching qualification or the willingness to obtain one;
? experience in the acquisition of external funding and an entrepreneurial mindset;
? ability to work with others in a team.
What we have to offer
? employment: 1.0 FTE;
? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
? you will be appointed as an Assistant Professor (maximum gross monthly salary of ?4.757,- based on a 38-hour working week, scale 11);
? the duration of the tenure track will depend on your expertise and experience;
? you will be classified as an Assistant Professor (Universitair docent), Level 2 in the Dutch university job-ranking system (UFO);
? you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation.
Are you interested in our excellent employment conditions?
Other Information
The Faculty of Social Sciences is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities.
Further information on: Artificial Intelligence
Further information on: Research, Understanding mind and brain
Further information on: Faculty of Social Sciences
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From tj at cs.cornell.edu Wed May 2 16:44:47 2018
From: tj at cs.cornell.edu (Thorsten Joachims)
Date: Wed, 2 May 2018 20:44:47 +0000
Subject: Connectionists: CausalML Workshop at ICML / IJCAI / AAMAS 2018
Message-ID:
ICML / IJCAI / AAMAS 2018
Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML)
Many of the most impactful applications of machine learning are not just about prediction, but are about putting learning systems in control of selecting the right action at the right time. Examples of such systems range from search engines that act by displaying a ranking, to medical decision support systems, recommender systems, ad placement systems, conversational systems, automated trading platforms, computer games, and cyber-physical systems like self-driving cars. This focus on acting requires some causal understanding of the world, since actions are interventions that change the distribution of data unlike in standard prediction problems. This gives rise to challenging counterfactual and causal prediction problems. However, causality is only a means to an end - namely being able to take the right actions; one typically does not have the burden of providing strong proofs of causal discovery.
We solicit submission of novel research related to all aspects of causal inference, counterfactual prediction, and autonomous action. This includes, but is not limited to, the following topics:
- Predicting counterfactual outcomes
- Estimation of (conditional) average treatment effects
- Contextual bandit algorithms and on-policy learning
- Batch/offline learning from bandit feedback
- Off-policy evaluation and learning
- Interactive experimental control vs. counterfactual estimation from logged experiments
- Online A/B-testing vs. offline A/B-testing
- De-biasing observational data and feedback cycles
- Fairness of actions and causal aspects of fairness
- Applications in online systems (e.g. search, recommendation, ad placement)
- Applications in physical systems (e.g. cars, smart homes)
- Applications in medicine (e.g. personalized treatment, clinical trials)
We suggest extended abstracts of 2 pages in ICML format, but no specific format is enforced. A maximum of 8 pages will be considered. References will not count towards the page limit. PDF files only. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters. The deadline for submissions is
May 16, 2018 via https://sites.google.com/site/faim18wscausalml/
As part of the workshop, we are organizing a CrowdAI competition on learning from logged contextual bandit feedback with non-uniform action-selection propensities. The data is provided by Criteo, and a separate announcement is forthcoming. The winners will be invited to present their approach at the workshop.
Adith Swaminathan (Microsoft Research)
Clement Calauzenes (Criteo)
Nathan Kallus (Cornell)
Philip Thomas (UMass Amherst)
Thorsten Joachims (Cornell)
---
Thorsten Joachims
Chair, Department of Information Science
Professor, Department of Computer Science
Cornell University
http://www.joachims.org/
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From education at humanbrainproject.eu Thu May 3 06:13:26 2018
From: education at humanbrainproject.eu (education at humanbrainproject.eu)
Date: Thu, 3 May 2018 12:13:26 +0200
Subject: Connectionists: Call for applications: HBP School - The Brain
Simulation Platform of the Human Brain Project,
17-21 September, Palermo, Italy
Message-ID: <5A499BFC-3AD7-470D-B860-38EF32D2F71E@humanbrainproject.eu>
HBP School ? The Brain Simulation Platform of the Human Brain Project
17-21 September 2018
Palermo, Italy
Application deadline: 11 July 2018
Further information and application:
https://education.humanbrainproject.eu/web/hbp-school-the-brain-simulation-platform/
This School will introduce participants to the Brain Simulation Platform (BSP) of the Human Brain Project (HBP), with the main aim to train users on how to exploit the possibilities offered by the Platform to implement cellular level computational models, to use High Performance Analytics and Computing Platform systems to configure and run a simulation, and to visualise/analyse the results. Both short lectures and longer afternoon activities will be delivered at a basic and intermediate level. Through tutorials and hands-on activities, attendees will learn how to interact with the BSP to carry out their own research, to set up and manage a data-driven collaborative project, or to use the BSP to interact with the HBP Neuroinformatics Platform. Participants will be encouraged to introduce new ideas and suggest ways to use their original experimental data/techniques to implement/use the multiscale neural model they would like to investigate.
Application is open to the entire student community and early career researchers, regardless of whether they are affiliated with the Human Brain Project or not. Applications from young female investigators are highly encouraged.
A maximum of 50 participants will be selected by the Scientific Chair and the HBP Education Programme in a competitive selection process based on academic merit. Participants are required to submit an abstract on their current research, a CV and a motivation letter with their application.
Applicants selected for participation will be informed within three weeks after the application deadline.
Participation fee: 400 ?
The fee does not include travel and accommodation. Fees will be collected after participants have been selected.
Speakers and topics confirmed:
Michele Migliore: Welcome and introduction to the HBP School
Italian National Research Council (CNR), Italy
Luca Leonardo Bologna: First steps into the Brain Simulation Platform (BSP)
Italian National Research Council (CNR), Italy
Annapaola Santarsiero: The Collaboratory
EPFL, Switzerland
Luca Leonardo Bologna, Rosanna Migliore: Hands-on: Electrophysiological features extraction
Italian National Research Council (CNR), Italy
Michele Migliore: Scientific drive: Single cell modelling
Italian National Research Council (CNR), Italy
Carmen Alina Lupascu: Single cell model optimisation: Algorithms and methods
Italian National Research Council (CNR), Italy
Carmen Alina Lupascu, Rosanna Migliore: Hands-on session: Build your own cell model
Italian National Research Council (CNR), Italy
Armando Romani: Scientific drive: Circuit model, the Hippocampus
EPFL, Switzerland
Jean-Denis Courcol: Circuit modelling pipeline
EPFL, Switzerland
Armando Romani, Jean-Denis Courcol Hands-on: Circuit analysis
EPFL, Switzerland
Felix Sch?rmann: Technical drive: The architecture of the BSP
EPFL, Switzerland
Michael Hines: Technical drive: Using NEURON+Python for parallel simulations
Yale School of Medicine, USA
Carmen Alina Lupascu, Michael Hines: Hands-on: Implement and run NEURON on the Collaboratory
Italian National Research Council (CNR), Italy, Yale School of Medicine, USA
Felix Sch?rmann: The science behind the Human Brain Project
EPFL, Switzerland
Carmen Alina Lupascu: Technical drive: Interacting with High Performance Computing (HPC) systems
Italian National Research Council (CNR), Italy
Michele Migliore: How to write an HPC proposal: Success stories
Italian National Research Council (CNR), Italy
We are looking forward to seeing you at the HBP School on the HBP Brain Simulation Platform in Palermo, Italy!
The HBP Education Programme Office team
Theresa Rass
HBP Education Programme
Project Assistant
Medical University Innsbruck
M?llerstra?e 59, 6020 Innsbruck, Austria
Phone Office: +43 512 9003 71246
Mobile Phone: +43 676 871672246
Email: theresa.rass at icloud.com
Follow us on Twitter, Facebook and LinkedIn!
Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community.
Where to follow:
Twitter: @HBP_Education
Facebook: @hbpeducation
LinkedIn: HBP Education Programme
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From mark.humphries at manchester.ac.uk Fri May 4 10:50:12 2018
From: mark.humphries at manchester.ac.uk (Mark Humphries)
Date: Fri, 4 May 2018 14:50:12 +0000
Subject: Connectionists: Fully-funded UK/EU PhD studentship in computational
neuroscience
Message-ID: <110733_1525446604_w44FA2oE110794_7E954275ED82B9468C2C731FB72522F5013E0D5B6C@MBXP09.ds.man.ac.uk>
A fully-funded EU/UK PhD studentship is available in the lab of Prof Mark Humphries at the University of Nottingham, on a project entitled "Inferring the connectome using voltage imaging".
This project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations.
For a primer on the problem of finding the wiring between neurons, read our piece here: https://medium.com/the-spike/mindlessly-mapping-the-brain-1dec092a404d
Find out more about the lab and its interests here: https://www.humphries-lab.org/
More details, eligibility, and application instructions here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97729
To discuss this or other projects, please contact Prof Mark Humphries (mark.humphries at nottingham.ac.uk).
Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience
humphries-lab.org
[0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries
Public blog: https://medium.com/the-spike
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From zfalomir at gmail.com Fri May 4 13:30:08 2018
From: zfalomir at gmail.com (Zoe Falomir)
Date: Fri, 4 May 2018 19:30:08 +0200
Subject: Connectionists: QR'18 -- Deadline Extended to 11 May
Message-ID:
Dear all,
due to several requests, the deadline has been extended till May 11.
So, you still have time to update your papers or submit new ones!
Note also that QR has been scheduled finally to take place on Friday 13.
Please, widespread this call into your networks!
And all the best,
Zoe
=====================================================================
QR?18 ? 31st International Workshop on Qualitative Reasoning
*NEW* Extended Deadline: 11 May
LAST CALL FOR PAPERS
=====================================================================
Co-located at IJCAI-ECAI-18, Stockholm, Sweden,
*NEW* Confirmed date: Friday July 13, 2018
======================================================================
Web Page: http://homepages.abdn.ac.uk/pang.wei/pages/QR2018/index.html
======================================================================
INTRODUCTION
------------
The Qualitative Reasoning (QR) community develops qualitative
representations to understand the world from incomplete, imprecise, or
uncertain data. Our qualitative models span natural systems (e.g., physics,
biology, ecology, geology), social systems (e.g., economics, cultural
decision-making), cognitive systems (e.g., conceptual learning, spatial
reasoning, intelligent tutors, robotics), and more.
The QR community includes researchers in Artificial Intelligence,
Engineering, Cognitive Science, Applied Mathematics, and Natural Sciences,
commonly seeking to understand, develop, and exploit the ability to reason
qualitatively. This broadly includes:
* Developing new formalisms and algorithms for qualitative reasoning.
* Building and evaluating predictive, prescriptive, diagnostic, or
explanatory qualitative models in novel domains.
* Characterizing how humans learn and reason qualitatively about the
(physical) world with incomplete knowledge.
* Developing novel, formal representations to describe central aspects of
our world: time, space, change, uncertainty, causality, and continuity.
TOPICS
------
* Qualitative modeling in physical, biological and social sciences, and in
engineering.
* Representations and techniques for QR.
* Methods that integrate QR with other forms of knowledge representation
and computational approaches, including quantitative and semi-quantitative
methods and machine learning.
* Using QR for diagnosis, design, and monitoring of physical or biological
systems.
* Applications of QR, including education, science, and engineering.
* Cognitive models of QR, including the use of existing QR formalisms for
cognitive modeling and results from other areas of cognitive science for
qualitative reasoning.
* Using QR in understanding language, decision-making, sketches, images,
and other kinds of signals and data sources.
* Formalization, axiomatization, and mathematical foundations of QR.
IMPORTANT DATES
---------------
* Submissions deadline: **May 11, 2018**
* Author notification: May 24-29, 2018
* Early registration date: **May 31, 2018**
* Camera-ready paper: June 15, 2018
PAPER SUBMISSION
----------------
Three types of submissions are sought: theory, application, and demo
oriented:
* Theory contributions present novel ideas regarding representation and
reasoning, and position this result in the context of known QR theory.
* Application contributions present the use and evaluation of software
implementing QR theory in actual real-world contexts. Evaluations can range
from technology oriented (e.g. address software functioning in operational
contexts) to human oriented (e.g. address usability or stakeholders and
market related issues).
* Demos focus on (novel) implementations of QR theory in software. They can
be proof of concepts, but also mature products. Contributions typically
address the extras needed to realize the implementation.
Format:
* Submissions must be in PDF format and not exceed 8 pages.
* Submissions should be formatted according to the IJCAI author guidelines.
* Submissions do not need to be anonymized; the author list and the author
publications should read as they will in the camera-ready copy.
Review Process: All submissions will be evaluated and selected according to
their quality, significance, originality, and potential to generate
discussion. Each contribution will be reviewed by at least two referees
from the QR2018 Program Committee. Papers may be accepted for either oral
or poster presentation.
Papers should be submitted through the EasyChair platform at:
https://easychair.org/conferences/?conf=qr18
PUBLICATION
-----------
The accepted papers will be published as a collection of working papers.
The format of the publication will be discussed with the authors after
acceptance (eg. CEUR-ws.org or on-line without ISSN).
ORGANIZATION
------------
George M. Coghill (primary contact)
Department of Computing Science
University of Aberdeen, UK
g.coghill at abdn.ac.uk
Zoe Falomir
Bremen Spatial Cognition Centre (BSCC)
Faculty of Computer Science and Mathematics
University of Bremen, Germany
zfalomir at uni-bremen.de
Wei Pang
Department of Computing Science
University of Aberdeen, UK
pang.wei at abdn.ac.uk
PROGRAM COMMITTEE
-----------------
Nuria Agell, ESADE - Ramon Llull University, Spain
Jos? V. Alvarez, Universidad de Valladolid, Spain
Elena Andonova, New Bulgarian University, Bulgaria
Mehul Bhatt, University of Bremen, Germany
Gautam Biswas, Vanderbilt University, USA
Stefano Borgo, ISTC CNR, Italy
Elizabeth Bradley, University of Colorado, USA
Bert Bredeweg, University of Amsterdam, The Netherlands
Ivan Bratko, University of Ljubljana, Slovenia
Tony Cohn, University of Leeds, UK
Maria Chang, IBM, USA
Juan J. Flores, Universidad Michoacana, Mexico
Ken Forbus, Northwestern University, USA
Christian Freksa, University of Bremen, Germany
Scott Friedman, Smart Information Flow Technologies, USA
Joanna Goli?ska-Pilarek, University of Warsaw, Poland
Luis Gonzalez-Abril, Universidad de Sevilla, Spain
Hans Guesguen, Massey University, New Zealand
Tomoya Horiguchi, Kobe University, Japan
Liliana Ironi, IMATI - CNR, Italy
Kamal Kansou, Centre de recherche Angers-Nantes, France
Alexandra Kirsch, University of T?bingen, Germany
Johan de Kleer, Palo Alto Research Center, USA
Matthew Klenk, Palo Alto Research Center, USA
Kate Lockwood, University of St. Thomas, USA
Andrew Lovett, Northwestern University, USA
Emilio Mu?oz-Velasco, University of Malaga, Spain
Lled? Museros, University Jaume I, Spain
Chris Price, Aberystwyth University, Wales, UK
M?nica S?nchez, Universitat Polit?cnica de Catalunya, Spain
Paulo Santos, Centro Universitario FEI, Brasil
Qiang Shen, Aberystwyth University, Wales, UK
Carl Schultz, Aarhus University, Denmark
Steven Schockaert Cardiff University, UK
Peter Struss, Technical University M?nchen, Germany
Kazuko Takahashi, Kwansei Gakuin University, Japan
Stefania Tentoni, IMATI - CNR, Pavia, Italy
Louise Trav?-Massuy?s, LAAS-CNRS, France
Jan O. Wallgr?n, Penn State University, USA
Diedrich Wolter, University of Bamberg, Germany
Jure Zabkar, University of Ljubljana, Slovenia
--
------------------------------------------------------------
Dr.-Ing. Zoe Falomir Llansola
https://sites.google.com/site/zfalomir/home
Twitter at @zfalomir
------------------------------------------------------------
This e-mail (including any attachments) is confidential and it's
content is only for the exclusive use of the addressee/recipient.
If you are not an intended recipient or an authorised representative
of an intended recipient, you are prohibited from using, copying or
distributing the information in this e-mail or its attachments.
If you have received this e-mail by error, please notify the sender
immediately by replying to the sender. Thank you.
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From samuel.kaski at aalto.fi Fri May 4 13:39:59 2018
From: samuel.kaski at aalto.fi (Kaski Samuel)
Date: Fri, 4 May 2018 17:39:59 +0000
Subject: Connectionists: Postdoc in machine learning for inferring chemical
toxicity, FCAI, Helsinki and Janssen Pharmaceutica
Message-ID: <16683900-9F90-4C92-BC2D-4263A7361EFF@aalto.fi>
We are looking for a postdoctoral researcher with expertise in machine learning to work on an exciting collaboration project between Prof. S. Kaski?s team in Finnish Center for Artificial Intelligence FCAI at Aalto University and Janssen Pharmaceutica. The exciting research problem is to learn to infer toxicity of chemicals based on the chemical structure, and the great opportunity is that we have unique data for the learning. This is an outstanding opportunity to both develop new probabilistic machine learning methods and to gain necessary skills to place yourself for success both in the pharmaceutical industry as well as in academia. Janssen Pharmaceutica and FCAI support and expect publication of the outcome of this work in top peer-reviewed journals and scientific conferences.
Deadline: May 28, 2018
Full details: http://www.aalto.fi/en/about/careers/jobs/view/1854/.
--
Samuel Kaski, Academy Professor
Department of Computer Science, Aalto University
P.O. Box 15400, FI-00076 Aalto, Finland; https://people.aalto.fi/new/samuel.kaski
Tel: +358 50 3058694
From filippombianchi at gmail.com Fri May 4 14:41:48 2018
From: filippombianchi at gmail.com (filippo bianchi)
Date: Fri, 4 May 2018 20:41:48 +0200
Subject: Connectionists: [CfP] SI: Issue: Non-Iterative Approaches and Their
Applications -- Cognitive Computation
Message-ID:
*********** Call for Papers ***********
*Special Issue: Non-Iterative Approaches and Their Applications* on *Cognitive
Computation* (Springer)
-----------------------------------------------------------------
Optimization, which plays a central role in learning, has received
considerable attention from academics, researchers, and domain workers.
Many optimization problems in machine learning can be tackled with
non-iterative approaches, which can be presented in closed-form manner.
Those methods are in general computationally faster than iterative
solutions. Even though non-iterative methods have attracted much attention
in recent years, there exists a performance gap when compared with older
methods and other competing paradigms. This special session aims to bridge
this gap.
The first target of this special issue is to present the recent advances of
non-iterative solutions in learning. Secondly, the focus is on promoting
the concepts of non-iterative optimization with respect to counterparts,
such as gradient-based methods and derivative-free iterative optimization
techniques. Besides the dissemination of the latest research results on
non-iterative algorithms, it is also expected that this special session
will cover some practical applications, present some new ideas and identify
directions for future studies.
Researchers will be invited to submit innovative works or comparative
studies with both iterative and non-iterative methods. Typical paradigms
include (but not limited to) random vector functional link (RVFL), echo
state networks (ESN), extreme learning machines (ELM), kernel ridge
regression (KRR), random forests (RF) and so on.
*Topics covered:*
- Methods with and without randomization
- Regression, classification and time series analysis
- Dimensionality reduction
- Spectral methods
- Kernel methods such as kernel ridge regression, kernel adaptive
filters, etc.
- Feedforward, recurrent, multilayer, deep and other structures.
- Ensemble learning
- Moore-Penrose pseudo inverse, SVD and other solution procedures.
- Non-iterative methods for large-scale problems with and without kernels
- Theoretical analysis of non-iterative methods
- Comparative studies with competing iterative methods
- Applications of non-iterative solutions in domains such as power
systems, biomedical, finance, signal processing, big data and all other
areas
*Journal description*
Cognitive Computation, Springer (https://link.springer.com/journal/12559)
is an international, peer-reviewed, interdisciplinary journal that
publishes cutting-edge articles focusing on original basic and applied work
involving bio-inspired computational accounts of all aspects of natural and
artificial cognitive systems. Cognitive Computation has an Impact Factor of
3.44.
*Important Dates*
- Submissions Deadline *1st July 2018*
- First notification of acceptance 1st Nov 2018
- Submission of revised papers 1st Jan 2019
- Final notification to the authors 1st Mar 2019
- Submission of final/camera-ready papers 1st April 2019
- Publication of special issue 2019
*Paper Submission*
All papers should follow the manuscript preparation requirements for the
Springer Cognitive Computation submissions (see
http://www.springer.com/12559). The authors are requested to submit their
manuscripts via the online submission manuscript system, available at
http://www.editorialmanager.com/cogn/. During the first step of the
submission, authors should select as Article Type ?*S.I. Non-Iterative
Approaches and Their Applications*?. For further (technical) questions,
please contact the Editor-in-Chief: ahu at cs.stir.ac.uk.
*Organizers*
- Dr P. N. Suganthan, Nanyang Technological University, Singapore.
epnsugan at ntu.edu.sg
- Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway,
Troms?, filippo.m.bianchi at uit.no
------------------------------------------------------------
------------------------------
Filippo Maria Bianchi, PhD.
*Postdoctoral fellow at Machine Learning group,Department of Physics and
Technology,UiT The Arctic University of
Norway.Homepage: https://sites.google.com/view/filippombianchi/home
*
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From navlakha at salk.edu Fri May 4 15:35:57 2018
From: navlakha at salk.edu (Saket Navlakha)
Date: Fri, 4 May 2018 14:35:57 -0500
Subject: Connectionists: Biological Distributed Algorithms 2018 -- final call
Message-ID: <1ECB1431-A290-4004-BFDA-9BDEE84BCBB9@salk.edu>
NOTE: Travel funding available for *all* presenters. Please submit by May 7th!
================================================================
The 6th Workshop on Biological Distributed Algorithms (BDA 2018)
July 23, 2018 in London, UK. Co-located with PODC 2018
http://www.snl.salk.edu/~navlakha/BDA2018/
================================================================
We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks.
BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention).
This is a one-day workshop.
===========
SUBMISSIONS
===========
We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages.
Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183
Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues.
==============
TRAVEL SUPPORT
==============
This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight/train to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author.
===============
IMPORTANT DATES
===============
May 7, 2018 (AoE) ? Extended abstract submission deadline
May 26, 2018 ? Decision notifications
July 23, 2018 ? Workshop
===============================
INVITED (PRE-SELECTED) SPEAKERS
===============================
Vijay Balasubramanian, U Penn
Luca Cardelli, Microsoft Research
Roderich Gross, U Sheffield
Ana Sendova-Franks, UWE Bristol
Damien Woods, Inria
(more to come)
=================
PROGRAM COMMITTEE
=================
Ziv Bar-Joseph, CMU
Anna Dornhaus, University of Arizona
Yuval Emek, Technion
Amos Korman, CNRS and University of Paris Diderot
Nancy Lynch, MIT
Melanie Moses, University of New Mexico
Saket Navlakha, Salk Institute
Merav Parter, Weizmann
Andrea Richa, Arizona State University
Nir Shavit, MIT
==========================
ORGANIZERS (and PC CHAIRS)
==========================
Yuval Emek, Amos Korman, and Saket Navlakha
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From ludovico.montalcini at gmail.com Fri May 4 16:32:03 2018
From: ludovico.montalcini at gmail.com (Ludovico Montalcini)
Date: Fri, 4 May 2018 21:32:03 +0100
Subject: Connectionists: Call for Oral Presentations,
Poster and Participation: 5th International Synthetic & Systems
Biology Summer School - SSBSS 2018, Siena - Italy, July 25-29,
Deadline: May 31
Message-ID:
5th International Synthetic & Systems Biology Summer School - SSBSS 2018
July 25-29, 2018 - Certosa di Pontignano - Siena - Tuscany - Italy
https://ssbss2018.icas.xyz ssbss at icas.xyz
DEADLINES:
Application: May 31
Oral Presentation/Poster Submission: May 31
Notification of Decision for Oral/Poster Presentation: June 10
https://ssbss2018.icas.xyz/registration/
CONFIRMED KEYNOTE SPEAKERS:
* PATRICK YIZHI CAI, University of Manchester, UK
* RITA CASADIO, University of Bologna, Italy
* BARBARA DI VENTURA, University of Freiburg, Germany
* JOHN GLASS, J. Craig Venter Institute, USA
* MANUELA HELMER CITTERICH, University of Rome Tor Vergata, Italy
* PHILIPP HOLLIGER, MRC Laboratory of Molecular Biology, Cambridge, UK
* DAGMAR IBER, SIB & ETH Zurich, Switzerland
* JONATHAN KARR Icahn School of Medicine at Mount Sinai, USA
* JENS NIELSEN, Chalmers University of Technology, Sweden
* LAURA RIVA, Wellcome Trust Sanger Institute, Cambridge, UK
* KELLY V. RUGGLES, Department of Medicine, New York University, USA
* PAMELA SILVER, Harvard Medical School, Dept. of Systems Biology, Harvard
University, USA
* HARRIS WANG, Columbia University, USA
* RON WEISS, MIT, USA
* LUCA ZAMMATARO, Yale University, USA
CONFIRMED SPEAKERS:
* Barbara Di Camillo, University of Padova, Italy
* Cristina Di Primio, Scuola Normale Superiore
* Simone Furini, University of Siena, Italy
* Emanuele Domenico Giordano, University of Bologna, Italy
* Rodrigo Ledesma-Amaro, Imperial College London, UK
* Simonetta Lisi, Scuola Normale Superiore, Italy
* Laura Marchetti, Italian Institute of Technology, Italy
* Velia Siciliano, Italian Institute of Technology, Italy
* CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster and the talk
sessions:
https://ssbss2018.icas.xyz/registration/
* VENUE & ACCOMMODATION:
The venue of SSBSS 2018 will be The Certosa di Pontignano - Siena
The Certosa di Pontigniano
Loc. Pontignano, 5 - 53019, Castelnuovo Berardenga (Siena) - Tuscany, Italy
Phone: +39-0577-1521104
E: info at lacertosadipontignano.com
W: http://www.lacertosadipontignano.com/
A few kilometers from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.
https://acdl2018.icas.xyz/venue/
* STEP 1/2, REGISTRATION:
https://ssbss2018.icas.xyz/registration/
* STEP 2/2, ACCOMMODATION, MEALS & TRANSFER PISA AIRPORT-COURSE VENUE
(Certosa di Pontignano):
https://ssbss2018.icas.xyz/accommodation/
https://ssbss2018.icas.xyz/wp-content/uploads/sites/2/2017/11/SSBSS-accommodation-form-r2.pdf
The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Synthetic
& Systems Biology Summer School the experience of a lifetime.
See you in Tuscany in July!
The SSBSS 2018 Directors & Organizing Committee.
https://ssbss2018.icas.xyz
ssbss at icas.xyz
* Apologies for multiple copies. Please forward to anybody who might be
interested *
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From trentin at dii.unisi.it Fri May 4 18:41:33 2018
From: trentin at dii.unisi.it (Edmondo Trentin)
Date: Sat, 5 May 2018 00:41:33 +0200
Subject: Connectionists: Reduced student registration fee: ANNPR 2018 (Siena,
Italy) - 8th IAPR TC3 International Workshop on Artificial Neural Networks
in Pattern Recognition
Message-ID:
Thanks to the generosity of our Sponsors, a significantly reduced
early-registration fee (Student Basic Package) is now made available to
students interested in attending the forthcoming ANNPR2018 in Siena
(Italy). The paper submission deadline is extended accordingly to May 20,
2018. All the details at http://annpr2018.diism.unisi.it/ where you can
also find the new list of our Invited Speakers.
Best,
Edmondo
========================================
8th IAPR TC3 International Workshop on Artificial Neural Networks in
Pattern Recognition (ANNPR 2018)
September 19-21, 2018
DIISM, Universit? di Siena, Tuscany (Italy)
URL: http://annpr2018.diism.unisi.it/
Sponsored by the International Association for Pattern Recognition (IAPR)
New Important Dates
Paper submission (extended): May 20, 2018
Notification of acceptance: June 15, 2018
Camera ready due: June 25, 2018
Early registration: June 30, 2018
Workshop: Sept. 19-21, 2018 (Wed to Fri)
The Workshop proceedings will be published in the Springer LNAI series
ANNPR 2018 invites papers that present original work in the areas of
neural networks and machine learning oriented to pattern recognition,
focusing on their algorithmic, theoretical, and applied aspects. Topics of
interest include, but are not limited to:
Methodological Issues
- Supervised, partially supervised, and unsupervised learning
- Feed-forward, recurrent, and competitive neural nets
- Kernel machines
- Hierarchical modular architectures and hybrid systems
- Combination of neural networks and Hidden Markov models
- Multiple classifier systems and ensemble methods
- Probabilistic graphical models
- Deep architectures
Applications to Pattern Recognition
- Image processing and segmentation
- Handwritten recognition and Document analysis
- Sensor-fusion and multi-modal processing
- Feature extraction, dimensionality reduction
- Clustering and vector quantization
- Speech and speaker recognition
- Data, text, and web mining
- Bioinformatics/Cheminformatics
ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural
Networks & Computational Intelligence of the International Association for
Pattern Recognition (IAPR). As such, we particularly encourage submissions
that fit the Manifesto and the research directions of the TC3 (see
http://iapr-tc3.diism.unisi.it/Research.html)
Paper Submission:
Perspective Authors shall submit their paper in Springer LNCS/LNAI format.
Instructions for Authors, LaTeX templates, etc. are available at the
Springer LNCS/LNAI web-site (see
http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines).
The maximum paper length is 12 pages. Submission of a paper constitutes a
commitment that, if accepted, at least one of the Authors will complete an
early registration to the workshop. On-line submission via EasyChair will
be made available in due time through the ANNPR2018 website.
Confirmed Invited Speakers:
Marco Gori (University of Sienna)
Marcello Pelillo (University of Venice)
Thilo Stadelmann (ZHAW School of Engineering)
For more information, please visit us at:
http://annpr2018.diism.unisi.it/
Do not hesitate to contact the ANNPR2018 Chairs for any inquiries.
ANNPR2018 Chairs
Luca Pancioni, Universit? di Siena, Italy
Friedhelm Schwenker, Ulm University, Germany
Edmondo Trentin, Universit? di Siena, Italy
-----------------------------------------------
Edmondo Trentin, PhD
Dip. Ingegneria dell'Informazione e Scienze MM.
V. Roma, 56 - I-53100 Siena (Italy)
E-mail: trentin at dii.unisi.it
Voice: +39-0577-234636
Fax: +39-0577-233602
WWW: http://www.dii.unisi.it/~trentin
From shobeir at gmail.com Fri May 4 23:36:38 2018
From: shobeir at gmail.com (Shobeir Fakhraei)
Date: Fri, 4 May 2018 20:36:38 -0700
Subject: Connectionists: [Final CFP] ACM KDD MLG'18 - 14th International
Workshop on Mining and Learning with Graphs (London, UK)
Message-ID:
*August 20, 2018London, UK (co-located with KDD
2018)http://www.mlgworkshop.org/2018/
Deadlines: (Abstract) May 8, 2018 - (Submission) May 15, 2018Keynotes:Tanya
Berger-Wolf (University of Illinois Chicago)Luna Dong (Amazon)Christos
Faloutsos (Carnegie Mellon University)Kristina Lerman (University of
Southern California - ISI)Sujith Ravi (Google Research)Taha Yasseri
(University of Oxford)Call for papers:This workshop is a forum for
exchanging ideas and methods for mining and learning with graphs,
developing new common understandings of the problems at hand, sharing of
data sets where applicable, and leveraging existing knowledge from
different disciplines. The goal is to bring together researchers from
academia, industry, and government, to create a forum for discussing recent
advances graph analysis. In doing so, we aim to better understand the
overarching principles and the limitations of our current methods and to
inspire research on new algorithms and techniques for mining and learning
with graphs.To reflect the broad scope of work on mining and learning with
graphs, we encourage submissions that span the spectrum from theoretical
analysis to algorithms and implementation, to applications and empirical
studies. As an example, the growth of user-generated content on blogs,
microblogs, discussion forums, product reviews, etc., has given rise to a
host of new opportunities for graph mining in the analysis of social media.
We encourage submissions on theory, methods, and applications focusing on a
broad range of graph-based approaches in various domains.Topics of interest
include, but are not limited to:Theoretical aspects: - Computational or
statistical learning theory related to graphs- Theoretical analysis of
graph algorithms or models- Sampling and evaluation issues in graph
algorithms- Analysis of dynamic graphsAlgorithms and methods: - Graph
mining- Probabilistic and graphical models for structured data-
Heterogeneous/multi-model graph analysis- Network embedding models-
Statistical models of graph structure- Combinatorial graph methods-
Semi-supervised learning, active learning, transductive inference, and
transfer learning in the context of graphsApplications and analysis: -
Analysis of social media- Analysis of biological networks- Knowledge graph
construction- Large-scale analysis and modelingAll papers will be peer
reviewed, single-blinded. We welcome many kinds of papers, such as, but not
limited to: - Novel research papers- Demo papers- Work-in-progress papers-
Visionary papers (white papers)- Appraisal papers of existing methods and
tools (e.g., lessons learned)- Relevant work that has been previously
published- Work that will be presented at the main conferenceAuthors should
clearly indicate in their abstracts the kinds of submissions that the
papers belong to, to help reviewers better understand their contributions.
Submissions must be in PDF, no more than 8 pages long ? shorter papers are
welcome ? and formatted according to the standard double-column ACM
Proceedings Style
. The accepted
papers will be published on the workshop?s website and will not be
considered archival for resubmission purposes. Authors whose papers are
accepted to the workshop will have the opportunity to participate in a
spotlight and poster session, and some set will also be chosen for oral
presentation and considered for $1,000 best paper award sponsored by
Kyndi.Timeline:Abstract Deadline: May 8, 2018Submission Deadline: May 15,
2018Notification: June 8, 2018 Final Version: June 28, 2018Workshop: August
20, 2018Submission instructions can be found on
http://www.mlgworkshop.org/2018/ Please
send enquiries to chair at mlgworkshop.org
Organizers:Shobeir Fakhraei (University of Southern
California, ISI)Danai Koutra (University of Michigan, Ann Arbor)Julian
McAuley (University of California, San Diego) Bryan Perozzi (Google
Research)Tim Weninger (University of Notre Dame)Program Committee:Aris
Anagnostopoulos (Sapienza University of Rome), Ana Paula Appel (I.B.M.),
Miguel Araujo (Feedzai), Arindam Banerjee (University of Minnesota),
Christian Bauckhage (Fraunhofer IAIS), Ulf Brefeld (Leuphana Universit?t
L?neburg), Ivan Brugere (University of Illinois at Chicago), Aaron Clauset
(University of Colorado at Boulder), Alessandro Epasto (Google), Emilio
Ferrara (University of Southern California), Thomas G?rtner (University of
Nottingham), David Gleich (Purdue University), Mohammad Hasan (Indiana
U.?Purdue U. Indianapolis), Jake Hofman (Microsoft Research), Larry Holder
(Washington State University), Bert Huang (Virginia Tech), Kristian
Kersting (TU Darmstadt), Stefano Leucci (ETH Zurich), Fred Morstatter
(University of Southern California), Vagelis Papalexakis (University of
California Riverside), Ali Pinar (Sandia National Laboratories), Aditya
Prakash (Virginia Tech), Arti Ramesh (Binghamton University), Jan Ramon
(INRIA), Xiang Ren (University of Southern California), Neil Shah (Snap
Inc.), Sucheta Soundarajan (Syracuse University), Yizhou Sun (University of
California, Los Angeles), Acar Tamersoy (Symantec Research Labs), Jiliang
Tang (Michigan State University), Hanghang Tong (Arizona State University),
Stefan Wrobel (Fraunhofer IAIS), Xin-Zeng Wu (Information Sciences
Institute), Zhongfei Zhang (Binghamton University), Elena Zheleva
(University of Illinois at Chicago)To receive updates about the current and
future workshops and the Graph Mining community, please join the mailing
list: https://groups.google.com/d/forum/mlg-list
or follow the twitter
account: https://twitter.com/mlgworkshop
Find a PDF copy of this CFP here:
http://www.mlgworkshop.org/2018/MLG2018_CFP.pdf
We look forward to seeing
you at the workshop!*
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From Mark.vanRossum at nottingham.ac.uk Sat May 5 08:27:32 2018
From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum)
Date: Sat, 5 May 2018 13:27:32 +0100
Subject: Connectionists: POSTDOC Computational Neuroscience / AI, Nottingham
Message-ID: <97949d48-c02a-03b6-32d1-2667f4e69247@nottingham.ac.uk>
We are pleased to announce an opening for a postdoc in the lab of Mark
van Rossum at the University of Nottingham.
In a EPSRC/ESRC grant on Human-like Computation, we are investigating in
the computational role of sleep in cognitive processing and visual
reasoning. In particular we are interested in how REM and slow-wave
sleep phases map onto processing stages of neurally inspired AI, thereby
trying to circumvent some limitations of current deep learning approaches.
This theoretical research is complemented by sleep experiments carried
out by the group of Prof Penny Lewis in Cardiff.
The successful candidate will have a PhD (or submitted his/her thesis)
and have research experience in either computational neuroscience or
machine learning, or a combination of these.
This post is initially a fixed-term contract for a period of 12 months.
As Nottingham is currently creating a Centre for Computational Neuroscience,
long-term independent research positions will open up next year.
Informal enquiries may be addressed to Mark van Rossum.
mark.vanrossum-at-nottingham.ac.uk
Formal applications should be made via the website:
https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI146218
--
Mark van Rossum,
Professor, Schools of Psychology and Maths, U Nottingham
Psych Bldg Rm LG.19, 44-115-951 5316, 44-7722049644
This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.
Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.
From rampon at tin.it Sun May 6 16:49:57 2018
From: rampon at tin.it (rampon at tin.it)
Date: Sun, 6 May 2018 22:49:57 +0200 (CEST)
Subject: Connectionists: DySES 2018: Call for abstract
Message-ID: <1633737dc77.rampon@tin.it>
dyses2018 : DYSES2018 : Systemic Risk
9-12 Oct 2018 Paris (France)
***************************************************************************
******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ********
***************************************************************************
Dear Colleague,
on behalf of the organizing committee, it is a pleasure
to announce
that the International Conference DySES 2018 - Dynamics
of
Socio-economic Systems: Systemic Risk will be held in
Paris, at the
University Paris 1-Sorbonne, October 9th-12th 2018 .
It will be an International Conference that will give
scientists and
practitioners coming from many countries the opportunity
to meet and
exchange experiences and ideas concerning the themes of
Systemic Risk
in many frameworks:
? Systemic risk
(general)
? Risk management
? Stress testing
? Catastrophic
risk
? Impact of
natural disasters on the economy
? Fragility of
financial systems and regulations
? Impact of
regulations
? Cyber security
? Aerospace
security
Methodologies include (but are not limited to):
? Networks
? Complex systems
? Agent based
modelling
? Non-linear
econometrics
? Multivariate
methods
? Self-organized
criticality
? Multi-criteria
methods
? Soft computing
? Bayesian methods
? Operational
research
? Optimization
methods
It is worth remembering that the previous DySES
Conferences were
successfully organized in the following venues:
DySES 2009: Pinamar, Argentina - DySES 2010: Benevento,
Italy - DySES
2012: Ushuaia, Argentina - DySES 2014: Sevilla, Spain -
DySES 2016: La
Habana, Cuba.
We warmly invite you to attend DySES 2018 and to submit
an abstract.
Important Deadlines
Abstract submission: June 15, 2018
Notification of abstract acceptance: June 30, 2018
Early registration: July 21, 2018
Regular registration: August 20, 2018
For further information and updates, please visit http://www.dyses2018.org.
Please help us disseminate this announcement among all of
your contacts.
Welcome to Paris in October!
DySES 2018, Organizing Committee
Bice Cavallo, University of Naples Federico II
Philippe de Peretti, Paris 1 Panth?on-Sorbonne University
Biagio Simonetti, University of Sannio
Massimo Squillante, University of Sannio
Jorgen Vitting Andersen, Paris 1 Panth?on-Sorbonne
University
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From lucio.marcenaro at unige.it Mon May 7 05:38:53 2018
From: lucio.marcenaro at unige.it (Lucio Marcenaro)
Date: Mon, 7 May 2018 11:38:53 +0200
Subject: Connectionists: PhD positions now available at Joint Doctoral
Programme in Interactive and Cognitive Environments
Message-ID:
PhDs are starting in*November 2018?with a?3?years scholarship*;
expiration date for first level applications: *May 15th, 2018*?on the
following research areas:
* Big-data techniques for crowd behavior analysis in smart environments
* Automatic learning of dynamic jamming models for physical layer
security in Cognitive Radios
* A machine learning approach for interaction detection in egocentric
videos
The PhD scholarships are available within the Joint Doctoral Programme
in Interactive and Cognitive Environments (JD ICE) that is a PhD
programme organised by the?Department of Electrical, Electronic,
Telecommunications Engineering and Naval Architecture at University of
Genoa, theCentre for Intelligent Sensing at Queen Mary University of
London ?and theIntelligent Systems Lab of
the Universidad Carlos III de Madrid .
General information
Applications are invited for PhD open positions. JD ICE provides PhD
training in the fields of multimedia signal processing, data fusion,
computer vision, cognitive dynamic systems and machine learning, and
offers advanced research projects designed for ambitious students
willing to become word-leading researchers. PhD students will benefit
from a joint-supervision model and will spend main part of their PhD
programme in Genova, Italy with a 12 months (minimum) mobility to the
secondary institution.
The ISIP40 group, active in the DITEN department in the Faculty of
Engineering of the University of Genoa has focused its attention mostly on:
* Cognitive Dynamic Systems
* Multisensor Signal Processing for Surveillance
* Software and Cognitive Radio
* Bayesian Object and Situation assessment
* Interactive and Cognitive Environments
Open positions for PhD (dottorato di ricerca)
PhD course starts at the beginning of November 2018; expiration date for
first level applications:*May 15th, 2018*in the following research areas:
1. *Big-data techniques for crowd behavior analysis in smart
environments*:?this research theme will study novel signal
processing techniques based on probabilistic graphical models and
dynamic Bayesian networks for understanding dynamics of cognitive
systems and learn how to transfer this acquired knowledge;
2. *Automatic learning of dynamic jamming models for physical layer
security in Cognitive Radios*:?this research theme will study
algorithms and methods for cognitive radio terminals for
opportunistic spectrum usage to optimize transmission rate and
external attack robustness;
3. *A machine learning approach for interaction detection in egocentric
videos*: wearable cameras stand out as one of the most promising
devices for the upcoming years, and as a consequence, the demand of
computer algorithms to automatically understand the videos recorded
with them is increasing quickly. An automatic understanding of these
videos is not an easy task, and its mobile nature implies important
challenges to be faced, such as the changing light conditions and
the unrestricted locations recorded.
Applications
Applications are invited for PhD open positions, starting at
the?November 2018?with ISIP40?research group of
the Department of Electrical, Electronic, Telecommunications Engineering
and Naval Architecture (DITEN), University of Genova ? Genova (ITALY).
Requirements:
1. *Laurea Vecchio Ordinamento*?or *Laurea Specialistica*?degree for
Italian applicants in one of the following fields (or another
related field); *Master of Science*?or equivalent degree for
applicants from abroad:
* Telecommunication Engineering
* Electronic Engineering
* Information Engineering
* IT
* Computer Science (or Laurea degree in Informatica)
2. Basic knowledge in the following topics:
* Signal Processing
* Communication Systems
* Pattern Recognition
* Image/Video Processing
3. English knowledge (IELTS certificate with minimum marks 6.5)
Deadline for applying:
Interested applicants must apply no later than *May 15th, 2018*.
How to apply?
The application is divided into two stages.
In the first phase, the interested applicants should send?their complete
C.V.?and?two recommendation letters?to Professor Lucio Marcenaro,
e-mail: lucio.marcenaro at unige.it
In the second phase, applicants whose CV fits with requirements will be
encouraged and advised to present an application for the official
admission competition at Genoa University online application closing on
June 12th, 2018.
PhD economic conditions
The research grant consists of about 16.5Keuro/year
Notes:
A complete C.V.?must contain at least the education degrees and the
related information, experiences (both academic and non-academic),
projects, list of publications, and every other thing you think can be
useful
If you have not graduated yet, provide some information about the
probable graduation date.
If you have some publications, you can also send some of the important
ones together with your CV.
You can also send any other information that you think can be useful and
effective for your profile.
--
*Lucio Marcenaro, PhD*
Assistant Professor
Signal Processing & Telecommunications Group
Department of Electrical, Electronic, Telecommunications
Engineering and Naval Architecture (DITEN)
Via all'Opera Pia 11, 16145 Genova (Italy)
Ph. +39 010 3532060 |Mob. +39 3482360850
Email: lucio.marcenaro at unige.it
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From iswc2018 at gmail.com Mon May 7 03:59:28 2018
From: iswc2018 at gmail.com (Maribel Acosta)
Date: Mon, 7 May 2018 09:59:28 +0200
Subject: Connectionists: ISWC 2018 - Student Travel Grants
Message-ID:
*17th International Semantic Web Conference (ISWC 2018)Monterey, California
(USA), October 8-12, 2018==== ISWC 2018 STUDENT TRAVEL GRANTS
===http://iswc2018.semanticweb.org/student-travel-grants/
If you are a
student interested in attending ISWC 2018, you may be eligible to apply for
travel grants to support the costs of travel and lodging. This year, travel
grants are funded by the Semantic Web Science Association (SWSA) and the US
National Science Foundation (NSF).APPLYING FOR A STUDENT TRAVEL AWARDThe
deadline for applying for an ISWC 2018 travel award is August 27th, 2018.
Please make sure that you have submitted your application and that your
supervisor has sent us a confirmation email by this date.To apply for a
grant please follow these steps:Make sure that you are eligible to apply
for an ISWC 2018 travel award: You must currently be a student at a higher
education institution; and have an ISWC 2018 submission that has been
accepted to either the main conference, the doctoral consortium, an ISWC
2018 workshop, the poster/demo session, or the Semantic Web challenge (you
may have submissions to more than one of these categories). If there are
additional funds available, we will also consider supporting students who
do not have papers at the conference.Fill out and submit the ISWC 2018
Student Travel Award Application Form.Ask your supervisor to email
iswc.travel.awards at gmail.com , confirming
that you are a current student under their supervision and that you will be
attending ISWC 2018. The subject of the email should be ?ISWC 2018 Student
Travel Award Application Verification for {YOUR NAME}?. The text should
read ?I confirm that {YOUR NAME} is a student that is currently under my
supervision at {INSTITUTION NAME} and that they will be attending ISWC 2018
to present work that they completed under my supervision. {SUPERVISOR
NAME}?Register for ISWC 2018.You will receive a notification by September
10th, 2018 and be allowed to register at an early registration rate.AWARD
DETAILSThe exact amount awarded to each student will depend on the needs
stated in the application and the kind of submission that they have in ISWC
2018. Preference will be given to students that are first authors on papers
accepted to the main conference or the doctoral consortium, followed by
those who are first authors on papers accepted to ISWC workshops and the
Poster & Demo session. If there are additional funds available, we will
also consider supporting students who do not have papers at the
conference.Please note that students attending higher education
institutions in the U.S. will be eligible for funding provided by the NSF.
If your application is approved, to ensure reimbursement per NSF
guidelines, you are required to travel with US-flag carriers or on flights
ticketed through an US-carrier.This year, we will consider supporting
travel companions for attendees with special needs and aim to support a
diverse group of students (e.g., gender, nationality, ethnicity, type of
institution, geographic location). If you have any questions or would like
to discuss your specific requirements please do not hesitate to contact
iswc.travel.awards at gmail.com .STUDENT TRAVEL
AWARD SPONSORSNational Science Foundation (NSF)Semantic Web Science
Association (SWSA)*
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From asdm at fi.upm.es Mon May 7 14:41:38 2018
From: asdm at fi.upm.es (asdm at fi.upm.es)
Date: Mon, 7 May 2018 20:41:38 +0200 (CEST)
Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data
Mining Summer School (June 25th - July 6th,
2018) - Early registration deadline
Message-ID: <1342443276.0.1525718498510.JavaMail.bmihaljevic@morelia>
Dear colleagues,
We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st.
The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.
Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI
Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:
http://www.dia.fi.upm.es/ASDM
There is a 25% discount for members of Spanish AEPIA and SEIO societies.
Please, forward this information to your colleagues, students, and whoever you think may find it interesting.
Best regards,
Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?.
-- School coordinators.
*** List of courses and brief description ***
* Week 1 (June 25th - June 29th, 2018) *
1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R.
Course 2: Time Series(15 h)
Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.
2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka.
Course 4: Statistical Inference (15 h)
Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.
3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks.
Course 6: Big Data with Apache Spark (15 h)
Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib.
* Week 2 (July 2nd - July 6th, 2018) *
1st session: 9:45-12:45
Course 7: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.
Course 8: Unsupervised Pattern Recognition (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R.
2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks.
Course 10: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks.
Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.
From asdm at fi.upm.es Mon May 7 14:41:38 2018
From: asdm at fi.upm.es (asdm at fi.upm.es)
Date: Mon, 7 May 2018 20:41:38 +0200 (CEST)
Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data
Mining Summer School (June 25th - July 6th,
2018) - Early registration deadline
Message-ID: <1342443276.0.1525718498510.JavaMail.bmihaljevic@morelia>
Dear colleagues,
We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st.
The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.
Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI
Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:
http://www.dia.fi.upm.es/ASDM
There is a 25% discount for members of Spanish AEPIA and SEIO societies.
Please, forward this information to your colleagues, students, and whoever you think may find it interesting.
Best regards,
Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?.
-- School coordinators.
*** List of courses and brief description ***
* Week 1 (June 25th - June 29th, 2018) *
1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R.
Course 2: Time Series(15 h)
Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.
2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka.
Course 4: Statistical Inference (15 h)
Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.
3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks.
Course 6: Big Data with Apache Spark (15 h)
Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib.
* Week 2 (July 2nd - July 6th, 2018) *
1st session: 9:45-12:45
Course 7: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.
Course 8: Unsupervised Pattern Recognition (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R.
2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks.
Course 10: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks.
Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.
From yves.boubenec at ens.fr Mon May 7 19:47:25 2018
From: yves.boubenec at ens.fr (Yves Boubenec)
Date: Tue, 8 May 2018 01:47:25 +0200
Subject: Connectionists: Theory-Experiment postdoctoral position in Paris
[coll. Shamma/Boubenec/Ostojic]
Message-ID:
A theory-experiment postdoctoral position is available at the ?cole
Normale Sup?rieure in Paris, on a collaborative project between the
group of Shihab Shamma & Yves Boubenec and the team of Srdjan Ostojic.
We recently investigated (*) the population-level encoding of target
stimuli in the primary auditory cortex of behaving animals during
discrimination tasks. Following up on this study, we now aim at
investigating the neural bases of auditory flexible categorization in
behaving ferrets by combining computational modeling, data-analysis and
experimental recordings.
The successful applicant will be based at the Laboratoire de
Neurosciences Cognitives Computationnelles (LNC2), a highly interactive
and dynamic environment situated in central Paris (see
https://lnc2.dec.ens.fr/fr/teams/network-dynamics-and-computations). The
group of Shihab Shamma & Yves Boubenec where the neurophysiological
recordings take place is located next door (https://lsp.dec.ens.fr).
The ideal candidate should be a computational neuroscientist with strong
interest in experimental neuroscience, or the other way round.
Starting dates are flexible. The position is for two years. Candidates
should send a letter of motivation (2 pages max), the contact
information of 2 or more referees and their CVs to boubenec at ens.fr
_BEFORE May 23rd, 2018_.
(*) Bagur, S. , Averseng, M., Elgueda, D., David, S., Fritz, J., Yin,
P., Shamma, S., Boubenec, Y.* & Ostojic, S.* Go/No-Go task engagement
enhances population representation of target stimuli in primary auditory
cortex. Nature Comm. (in press). doi:10.1101/240556
--
Yves Boubenec, Ph.D.
Associate Professor / Maitre de conf?rences
Audition Team, Laboratoire des Syst?mes Perceptifs (CNRS UMR 8248)
?cole Normale Sup?rieure, Department of Cognitive Studies
75005 Paris, France
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From lucas.bechberger at uni-osnabrueck.de Tue May 8 04:13:00 2018
From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger)
Date: Tue, 8 May 2018 10:13:00 +0200
Subject: Connectionists: =?utf-8?q?Third_Call_for_Abstracts_=E2=80=93_Work?=
=?utf-8?q?shop_=E2=80=9CConcepts_in_Action=3A_Representation=2C_Learning?=
=?utf-8?q?=2C_and_Application=E2=80=9D_=28CARLA=29?=
Message-ID:
"Concepts in Action: Representation, Learning, and Application" (CARLA)
is an international workshop aimed at fostering interdisciplinary
exchange about research on concepts. It invites contributions from all
fields related to cognitive science, including (but not limited to)
linguistics, artificial intelligence, psychology, philosophy, logic, and
computer science.
Although the workshop is open for research on any aspect of concepts,
there exists a set of core topics that are of special interest:
??? - Representation: How can we formally describe and model concepts?
??? - Learning: Where do concepts come from and how are they acquired?
??? - Application: How are concepts used in cognitive tasks?
This workshop provides an excellent opportunity to present and discuss
ongoing research on concepts. We invite concept researchers from all
fields related to cognitive science to submit abstracts to the workshop
for oral or poster presentations.
_Time and Venue:_
??? August 11 and August 12, 2018, in Osnabr?ck (Germany)
_Invited Speakers:_
??? Nicholas Asher, Christiane D. Fellbaum, Peter G?rdenfors, Robert L.
Goldstone, Julie Hunter, Michael Spranger
_Submission:_
??? We invite the submission of extended abstracts (up to 500 words
excluding references) to
https://easychair.org/conferences/?conf=carlaws18 until May 20, 2018. We
will send out acceptance notifications by May 31, 2018.
_Publication:_
??? We plan to invite a selection of presentations for publication
after the workshop.
More information can be found on our website:
https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2018.html
Should you have any questions, please contact us anytime at
concepts at uni-osnabrueck.de.
Best regards,
The organizing committee (Lucas Bechberger, Ulf Krumnack, Kai-Uwe
K?hnberger, Mingya Liu)
--
Lucas Bechberger
Artificial Intelligence Research Group
Institute of Cognitive Science
Osnabr?ck University
Wachsbleiche 27, Room 50/310
D-49090 Osnabr?ck
Phone: +49-541-969-3400
E-Mail: lucas.bechberger at uni-osnabrueck.de
Homepage: https://www.lucas-bechberger.de
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From hans.ekkehard.plesser at nmbu.no Tue May 8 06:12:36 2018
From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser)
Date: Tue, 8 May 2018 10:12:36 +0000
Subject: Connectionists: REMINDER: NEST Conference 2018 --- Abstract
submission closes SUNDAY 13 May
Message-ID: <758793D7-681A-400C-A332-2846317D393F@nmbu.no>
Dear colleagues!
I cordially invite you to submit contributions to the NEST Conference 2018 to be held on
25/26 June 2018 (Monday/Tuesday, lunch to lunch)
on the beautiful campus of the Norwegian University of Life Sciences at ?s, 30km south of Oslo.
ABSTRACT SUBMISSION CLOSES THIS SUNDAY!
We are excited to offer the following conference highlights:
? NEST 3 ? Gain first hands-on experience with the future of NEST
? NEST Doc++ ? Shape the professional documentation for NEST
? Brain Atlases as Tools for Neuroscience (Jan Bjaalie/Trygve Leergaard)
? Agricultural Robotics ? Meet Thorvald, NMBU's robot for precision farming (sagarobotics.com)!
? Midsummer conference barbecue dinner on NMBU's beautiful campus
? 3-day Hackathon after the conference with focus on improving documentation
The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10?15 minutes), on a poster, through a demo, or by organizing group work.
Important dates
? 13 May 2018 ? Deadline for abstract submissions --- THIS SUNDAY!!!
? 17 May 2018 ? Notification of acceptance
? 25 May 2018 ? Deadline for registration
For details, abstract submission and registration, please see
http://www.nest-initiative.org/conference
You are also welcome to contact us at conference at nest-initiative.org.
We are looking forward to welcoming you to ?s in June!
Hans Ekkehard Plesser
President
The Neural Technology Simulation Initiative
http://www.nest-initiative.org
--
Dr. Hans Ekkehard Plesser
Associate Professor
Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway
Phone +47 6723 1560
Email hans.ekkehard.plesser at nmbu.no
Home http://arken.nmbu.no/~plesser
From jeremiah.deng at otago.ac.nz Tue May 8 17:31:50 2018
From: jeremiah.deng at otago.ac.nz (Jeremiah Deng)
Date: Tue, 8 May 2018 21:31:50 +0000
Subject: Connectionists: AusAI'18 Call for Workshop Proposals
Message-ID: <1525815110679.6828@otago.ac.nz>
AI?2018 Call for Workshop Proposals
The Australasian Joint Conference on Artificial Intelligence, now celebrating its 31st anniversary in 2018, has been a key event for the AI research community in Australasia and beyond. AI?2018 will be hosted by Victoria University of Wellington, New Zealand, in mid-December, 2018.??
AI?2018 seeks workshop proposals on foundational and emerging topics in areas related to artificial intelligence and applications. The workshops aim at providing a vibrant and structured opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging technical issues. The workshop topics should be focused and cohesive so as to facilitate a platform for participants to benefit from interaction with each other. Some possible topics (non-exhaustive) include:
??????AI and cognitive science
??????Automatic machine learning
??????Stochastic optimization in neural networks
??????Biologically plausible neural networks
??????Natural language processing
??????Computer vision
??????AI and computer gaming
??????AI and privacy?
??????AI for cyber security
??????Parallel computing
??????AI and new programming paradigms
??????AI and IoT: smart grids and smart buildings
??????AI in specific disciplines: biology, ecology, e-commerce, e-government, environmental sciences, finance, healthcare, manufacturing, social sciences, transport, etc.
??????New topics in fundamental AI research
The organizers of each workshop shall have full control on the call for papers, forming of program committees, review and selection of papers, planning and chairing the program. This may include organizing keynotes. To avoid conflict of interests, the peer-review process on paper submissions must be double blind, which should be clearly stated in the workshop CFP. IN ADDITION, the chairs must include the following statement in the CFP:
?By submitting a paper to the workshop, the authors agree that at least one author should attend the workshop to present the paper, if the paper is accepted. For no-show authors, their paper will not be published by the workshop proceedings.?
Each workshop will have a right to include its papers in a joint Proceedings of AI Workshops to be published by the ACM ICPS and made available through the ACM Digital Library. The workshop chair must appoint a program committee to select the outstanding papers from the papers presented in the workshop. Based on the reviews, each selected paper should be further improved for the camera-ready version. A detailed schedule of due dates for the paper selection and the collection of the camera-ready versions will be announced immediately after the workshop announcement. Prospective workshop organizers should send a proposal (maximum three pages) with the following sections to?ai18workshops at gmail.com.?
??????Title of the workshop;
??????Objectives, scope, and contribution to the main conference;
??????Contacts of key organizers;
??????A tentative list of members of the program committee (with links to members webpages) with 1/3 of members confirmed;
??????Expected number of papers to be accepted;
??????Expected workshop length (half-day, full-day).?
The registration fees for workshops will be determined by the conference. The fees will be paid to the conference, and the conference will provide workshop facilities including working notes printing, meeting rooms, coffee break, lunch, and proceedings publication.?
Important Dates:
??????Workshop proposal due: May 31, 2018
??????Workshop notification: May 31, 2018
??????Workshop call for papers: June 15, 2018
??????Suggested workshop author notification: October 12, 2018
??????Workshop camera-ready due: October 26, 2018
AI?18 Workshop Co-Chairs
Jeremiah Deng, University of Otago, New Zealand
Lin Shang, Nanjing University, China
??
From terry at salk.edu Tue May 8 20:52:20 2018
From: terry at salk.edu (Terry Sejnowski)
Date: Tue, 08 May 2018 17:52:20 -0700
Subject: Connectionists: NEURAL COMPUTATION - May 1, 2018
In-Reply-To:
Message-ID:
Neural Computation - Volume 30, Number 5 - May 1, 2018
Available online for download now:
http://www.mitpressjournals.org/toc/neco/30/5
-----
Articles
Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression
Roman A Sandler, Kunling Geng, Dong Song, Robert E. Hampson, Mark R Witcher,
Sam A Deadwyler, Theodore W Berger, and Vasilis Z Marmarelis
Slowness as a Proxy for Temporal Predictability: An Empirical Comparison
Bjorn Weghenkel, and Laurenz Wiskott
Predictive Coding in Area V4: Dynamic Shape Discrimination Under Partial Occlusion
Hannah Choi, Anitha Pasupathy, and Eric Shea-Brown
Letters
Pattern Storage, Bifurcations and Groupwise Correlation Structure of an
Exactly Solvable Asymmetric Neural Network Model
Diego Fasoli, Anna Cattani, and Stefano Panzeri
Solving Constraint-satisfaction Problems With Distributed Neocortical-like Neuronal Networks
Ueli Rutishauser, Jean- Jacques Slotine, and Rodney J. Douglas
An Interneuron Circuit Reproducing Essential Spectral Features of Field Potentials
Reinoud Maex
A Kernel Embedding Based Approach for Non-stationary Causal Model Inference
Shoubo Hu, Zhitang Chen, and Laiwan Chan
Deep Semi-Supervised Zero-Shot Learning With Maximum Mean Discrepancy
Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, and Qinghua Zheng
Optimizing the Usability of Brain Computer Interfaces
Yin Zhang, and Steven Chase
------------
ON-LINE -- http://www.mitpressjournals.org/neuralcomp
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu
------------
From kristian.nymoen at imv.uio.no Wed May 9 02:36:41 2018
From: kristian.nymoen at imv.uio.no (Kristian Nymoen)
Date: Wed, 9 May 2018 06:36:41 +0000
Subject: Connectionists: Fully funded PhD Research Fellowship in machine
learning and information retrieval for full body motion data
In-Reply-To:
References:
Message-ID: <2E2A1F08-FEBF-460E-9F92-B2554290138A@imv.uio.no>
A fully funded Doctoral Research Fellowship is available within the Robotics and Intelligent Systems group (ROBIN) at the Department of Informatics, University of Oslo. The main area of focus within the position is automated classification of full body motion capture data, including automating techniques for post-processing and matching against semantic descriptions of the data.
The appointment is for a period of 3 years. There might be a possibility to extend to 4 years depending on the qualifications of the recruited candidate, and the department?s need for teaching and lab assistants. The recruited candidate will be working at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion with leading researchers in Informatics, Musicology and Psychology, with access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories.
The recruited PhD candidate will research machine learning techniques for full-body motion capture data, including:
1. Automated generic post-processing techniques for motion capture data (automatic marker recognition and prediction of missing marker locations).
2. Automated classification dance styles from full body motion capture data.
3. Explore deep learning techniques for automated synthesis of dance movement.
Qualification requirements
- A Master?s degree in a relevant field such as computer science, machine learning, biokinematics or music information retrieval.
- A solid background in computer science and machine learning.
- Competence in one or more of the following fields: deep learning, motion capture technology, biokinematics, data analysis, digital signal processing, and music.
- Personal suitability and motivation for the position.
- Fluency in English
We offer
- Salary NOK 436 900 ? 490 900 (approx. EUR 45 000 ? 50 000) per year depending on qualifications and seniority
- A professionally stimulating working environment
- Attractive welfare benefits
- Membership in the Norwegian Public Service Pension Fund
Closing date for applications: 4th June 2018
Starting date: No later than 1st October 2018
Please see the online recruitment portal for more information and a link to the application form:
https://www.jobbnorge.no/en/available-jobs/job/152613/phd-research-fellowship-in-machine-learning-and-information-retrieval-for-music-related-movement
Contact: Associate Professor Kristian Nymoen, krisny at ifi.uio.no
__________
Med vennlig hilsen / Best regards,
Kristian Nymoen
Associate Professor
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion
Department of Musicology and Department of Informatics
University of Oslo
Office phone: (+47) 22841693
Mobile phone: (+47) 99708138
http://people.uio.no/krisny
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From m.plumbley at surrey.ac.uk Wed May 9 03:18:09 2018
From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk)
Date: Wed, 9 May 2018 07:18:09 +0000
Subject: Connectionists: LVA/ICA 2018,
July 2-6: Call for Participation: 14th International Conference on
Latent Variable Analysis and Signal Separation
Message-ID:
Dear Connectionists,
We are happy to announce that the program for the 14th International
Conference on Latent Variable Analysis and Signal Separation (LVA/ICA
2018) is now available at:
http://cvssp.org/events/lva-ica-2018/program/
LVA/ICA 2018 will be the held at the University of Surrey, Guildford, UK
from July 2-6, 2018.
The programme features a wide range of oral and poster presentations on
topics related to latent variable analysis and source separation,
including Matrix and Tensor Factorizations, Deep Learning and
Data-driven Methods, ICA Methods, Nonlinear Mixtures, Sparsity-Related
Methods, Bayesian Approaches, Audio Data and Methods, and Biomedical Data
and Methods.
We are looking forward to inspiring keynote talks from Tuomas Virtanen
(Laboratory of Signal Processing, Tampere University of Technology,
Finland), Orly Alter (Scientific Computing & Imaging Institute/Huntsman
Cancer Institute, University of Utah, USA) and Andrzej Cichocki (Brain
Science Institute, Riken, Japan).
The conference will also feature special sessions on Structured Tensor
Decompositions and Applications, and Advances in Phase Retrieval and
Applications, plus the results of the SiSEC 2018 Signal Separation
Evaluation Campaign.
The conference will be preceded by a 1-day Summer School with tutorials
by Evrim Acar (Simula Research Laboratory, Lysaker, Norway) on Tensor
Factorizations, Data Fusion & Applications, and Richard Turner
(Computational & Biological Learning Lab, University of Cambridge, UK)
on Bayesian Inference and Deep Learning, and from Russell Mason, Ryan
Chungeun Kim and Dominic Ward on Evaluation of Musical Audio Source
Separation.
For interested delegates, the conference is followed by an Audio Day,
featuring talks, posters and demos on audio-related projects.
For information on how to register and accommodation options, see
http://cvssp.org/events/lva-ica-2018/registration/
Early registration is available until 31 May 2018.
We look forward to welcoming you to Surrey!
Best wishes,
Mark Plumbley
Co-Chair, LVA/ICA 2018
--
Prof Mark D Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey, Guildford, Surrey, GU2 7XH, UK
Email: m.plumbley at surrey.ac.uk
================================================================================
LVA/ICA 2018
14th International Conference on Latent Variable Analysis and Signal Separation
July 2-6, 2018, University of Surrey, Guildford, UK
http://cvssp.org/events/lva-ica-2018
================================================================================
From francoisxavier.dupe at gmail.com Wed May 9 05:20:27 2018
From: francoisxavier.dupe at gmail.com (=?UTF-8?Q?Fran=c3=a7ois-Xavier_Dup=c3=a9?=)
Date: Wed, 9 May 2018 11:20:27 +0200
Subject: Connectionists: Postdoc: multiview learning and neuroimaging,
Marseille
Message-ID: <2ffdde9d-849f-2794-f23a-28fe5de32df9@gmail.com>
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From stefano.rovetta at unige.it Wed May 9 10:10:12 2018
From: stefano.rovetta at unige.it (Stefano Rovetta)
Date: Wed, 09 May 2018 16:10:12 +0200
Subject: Connectionists: Cfp: SETIT2018 - IEEE - DEADLINE EXTENDED
Message-ID: <1525875012.5af3014432df2@webmail.unige.it>
DEADLINE EXTENDED - SUBMISSION MAY 31
Third Call for papers
---------------------------------
S E T I T 2 0 1 8
The Eigth Conference on the Sciences of Electronics, Technologies
of Information and Telecommunications
Genoa, Italy, September 3-5, 2018
---------------------------------
Sponsored by
The IEEE Italy Section Computational Intelligence Society Chapter
Proceedings published by IEEE
The Conference covers all topics in the fields of information and
communication technologies and related sciences. It aims to bring
together researchers and developers from both academia and industry
to report on the latest scientific and theoretical advances in their
respective areas, fostering a cross-disciplinary dissemination that
would be otherwise made difficult by the extreme specialization
of each field.
In today?s information-centered world, the relevance of hardware,
software, telecommunications cannot be overestimated; even fields
traditionally involved only marginally, like factory automation
and production engineering, are currently discovering the value
of data and information, with such trends as the Industry 4.0 or
the exponential growth of machine learning and AI, and with all
the consequent technological developments that are needed to
support them.
The Conference encourages submission of both theoretical advances and
interesting applications, with special emphasis on (but not limited to)
interdisciplinary works at the intersection of two or more of the areas
covered.
TOPICS
- Information Processing: Machine Learning, Fuzzy Logic and
Computational Intelligence, Data Mining, Information Fusion, Source
Separation, Business Intelligence, Artificial intelligence
- Human-machine Interaction: Model Driven Engineering, UX and Usability,
Virtual, Mixed and Augmented Reality, Ubiquitous Computing Systems,
Adaptive and Intelligent Systems, Social Network analysis
- Computer Science: Algorithm and Theory, Programming Languages,
Information Systems Management, High-performance computing, Intelligent
e-Technology, Data Warehouse and Big Data, Quantum Computing
- Telecommunications and Networks: Network Protocols, Wireless Sensor
Networks, Networks and Cloud Computing, Security, Quality of Service
and Resource Management, Internet Of Things, Vehicular Applications
and Technologies
- Signal Processing: Signal Detection, Estimation and Restoration,
Statistical Signal Processing, Design and Implementation of Signal
Processing, Audio, Acoustic, Speech and Biomedical Signal,
Non-Stationary, Non-linear and Non-gaussian Signals, Modeling
in Signals
- Electronics: Electronic Integration, Circuits and Systems for
Communications, Nanodevices and Nanosystems, Instrumentation
Engineering, Embedded Systems, Power Electronics, Automatic Control
of Power Plants
- Image and Video: Image and Video Processing Technology, Compression,
Coding and Implementation, Cryptology and Watermarking, Storage,
Retrieval, and Authentication, Biomedical Image and Health, Multimedia
Applications
Important dates
May 31 Paper submission - EXTENDED DEADLINE
Jun 30 Notification of acceptance
Jul 10 Early registration
Jul 15 Final paper upload
Sep 03-05 CONFERENCE
CONFERENCE PROCEEDINGS
Proceedings of SETIT 2018 will published by IEEE and available
through IEEExplore. The scientific program will include some invited
talks and tutorials, as well as contributed papers that will be
presented in oral or poster sessions.
Chairs
Stefano Rovetta, University of Genoa, Italy
Med salim Bouhlel, Sfax University, Tunisia
Scientific Secretariat
Francesco Masulli, University of Genoa, Italy
Alberto Cabri, University of Genoa, Italy
Submission of contributions: Please submit your manuscript for peer
review, no more than 8 pages long, on
http://www.setit.rnu.tn/submission-modality.html
Submission implies the willingness of at least one author per paper
to register, attend the conference, and present the paper.
From tbrown at research.baycrest.org Wed May 9 10:23:07 2018
From: tbrown at research.baycrest.org (Tanya Brown)
Date: Wed, 09 May 2018 14:23:07 +0000
Subject: Connectionists: Brain Connectivity Workshop 2018 - June 25-27;
Stanford, USA
Message-ID: <691fd631-da5a-0d84-5884-54bd91d6cd88@mixmax.com>
ABOUT
Founded in 2002, the Brain Connectivity Workshop (BCW) is an annual
international meeting for in-depth discussions of all aspects of brain
connectivity research. This meeting has a unique format in that it features only
short presentations (15 minutes, 3 slides), followed by 45 minutes of intense
discussion. The 17th edition of this workshop, taking place at Stanford
University (June 25-27, 2018), begins with an educational day followed by two
days devoted to presentations and discussions in four domains: anatomy,
physiology and neuroimaging, computational models of brain connectivity, and
clinical problems in relation to connectivity in both psychiatry and neurology.
DateLocationRegistration open untilRegistration Fee25th - 27th June, 2018
Stanford, California10th May, 2018$375 USD
SPEAKERS * Eliza Adams, Ph.D. Student, Marc Tessier-Lavigne?s Lab, Stanford University
-?Volume imaging of activity, plasticity, and degeneration in the intact
brain and embryo
* Adriano Aguzzi, Professor and Director of the Institute of Neuropathy,
University Hospital Zurich -?The mammalian prion protein in health and
disease
* Michael Breakspear, Group Leader, Systems Neuroscience Group, QIMR Berghofer
Medical Research Institute -?Failure to excite the second mode! Incomplete
cortical state transitions during sleep in preterm neonates
* Edward Bullmore, Professor of Psychiatry and Head of the Department of
Psychiatry, University of Cambridge -?Development of connectomes
* Marvin Chun, Dean of Yale College and Richard M. Colgate Professor of
Psychology, Neuroscience, and Cognitive Science, Yale University -?Decoding
and Predicting Attention
* Karl Deisseroth, D. H. Chen Professor and Professor of Bioengineering and of
Psychiatry & Behavioral Sciences, Stanford University -?Linking real-time
activity with detailed anatomy at cellular resolution across the vertebrate
brain
* Barry Horwitz, Scientist Emeritus, NIH -?The K?tter Lecture: Using Neural
Network Modeling and Functional Neuroimaging Data to Understand the Neural
Basis of Human Cognition
* Viren Jain, research scientist, Google -?Automated reconstruction of
synaptic-resolution neural wiring diagrams using very large scale computation
and machine learning
* Viktor Jirsa, Director INS Inserm (Institut de Neuroscience des Syst?mes)
-?On the slow variable in brain network dynamics
* Jin Hyung Lee, Associate Professor of Neurology, of Neurosurgery and of
Bioengineering and, by courtesy, of Electrical Engineering, Stanford
University -?Title TBA
* Liqun Luo, Ann and Bill Swindells Professor in the School of Humanities and
Sciences and Professor, by courtesy, of Neurobiology, Stanford University
-?Anatomical, Physiological, and Functional Heterogeneity of the Dorsal Raphe
Serotonin System
* Rosalyn Moran, Reader in Theoretical Neurobiology, King?s College London
-?Dynamic Causal Models for Neural Circuit Analysis from Induced Pluripotent
Stem Cells
* Randy McIntosh, Senior Scientist, Rotman Research Institute, Baycrest Centre,
and Professor of Psychology, University of Toronto -?Modeling and measuring
flows between cognitive and neural processes
* Russell Poldrack, Albert Ray Lang Professor of Psychology and Professor, by
courtesy, of Computer Science, Stanford University -?Network integration and
its relation to cognitive function
* Petra Ritter, Professor and Chair for Brain Simulation, Department of
Neurology, Charit? Universit?tsmedizin Berlin & Berlin Institute of Health
-?Inferring multi-scale neural mechanisms with brain network modelling
* Pedro Vald?s-Sosa, Director Joint China/Cuba Laboratory for Translational
Neurotechnology, The Clinical Hospital of Chengdu Brain Science Institute,
MOE Key Lab for Neuroinformation, University of Electronic Science and
Technology of China -?Data driven versus model driven identification of
nonlinear brain networks
* Peter Tass, Professor of Neurosurgery, Stanford University -?Long-lasting
desynchronization caused by multichannel patterned stimulation
* Daniel Topgaard, Professor in Physical Chemistry, Lund University -?Mapping
fibers in heterogeneous brain tissues
REGISTRATION
Stanford attendees, please?do not use?the registration form. Email us at
contact-biox at stanford.edu.The registration form is now available:REGISTER HERE!
Registration is $375 USD for all non-Stanford participants.
Limited seating available. Registration is open until Thursday, May 10th, 2018.
CONTACTPlease contact us atcontact-biox at stanford.edu?and let us know how we can
assist you.
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From stephan.busemann at dfki.de Wed May 9 11:28:44 2018
From: stephan.busemann at dfki.de (Stephan Busemann)
Date: Wed, 9 May 2018 17:28:44 +0200
Subject: Connectionists: CALL FOR PAPERS AIMSA 2018,
submission deadline May 20th 2018
Message-ID:
??? ??? CALL FOR PAPERS AIMSA 2018
The 18th International Conference on Artificial Intelligence:
Methodology, Systems, Applications
??? ??? - AI and Deep Learning -
??? Golden Sands resort, Varna, Bulgaria, 12-14th September, 2018
??? ??? www.aimsaconference.org
Initiated in 1984, the biennial Artificial Intelligence: Methodology,
Systems, Applications (AIMSA) conference is a premier forum for
exchanging information and research results on AI theory and principles
along with applications of intelligent system technology. The conference
traditionally brings together academic and industrial researchers from
all areas of AI to share their ideas and experiences and learn about the
research in contemporary AI. As its name indicates, the conference is
dedicated to Artificial Intelligence in its entirety. However, for AIMSA
2018, we would like to put an emphasis on Deep Learning (DL) as it has
been used successfully in many applications, and is considered one of
the most cutting-edge machine learning and AI techniques at the moment.
Of course, the focus on DL does not preclude submission of papers on
other interesting topics and approaches in AI.
The 18th edition of AIMSA will be held in the beautiful Varna area,
Bulgaria. With excellent opportunities for outdoor activities, water
sports and gastronomy, Varna promises to be a wonderful venue for a
memorable conference.
TOPICS
The conference welcomes submissions of original, high quality papers in
all areas of Artificial Intelligence, including (but not limited to)
traditional topics such as search, machine learning, planning, knowledge
representation, reasoning, natural language processing, robotics and
perception, multiagent systems, etc.
We especially welcome papers on end-to-end learning; multi-task
learning; cross- and multi-modal learning; combinations of DL and
knowledge-based approaches; transparency, explainability, stability and
provability of DL; DL meta-learning in AI etc., as well as papers that
bring useful computational technologies from other areas of computer
science into AI.
All submissions will be subject to academic peer review by at least two
members of the program committee. Selection criteria include accuracy
and originality of ideas, clarity and significance of results, and
quality of presentation.
For each accepted paper, at least one author is required to attend the
conference to present the paper.
The best paper of the conference will receive the Best Paper Award
during the conference.
IMPORTANT DATES
Submission deadline: ??? ??? ??? ??? May 20, 2018
Notification of acceptance:??? ? June 17, 2018
Deadline for camera-ready:??? ? July 1, 2018
Conference:??? ????????????????? ??? ??? ??? September 12-14, 2018
PROCEEDINGS
AIMSA 2018 Proceedings will be by Springer in their Lecture Notes in
Artificial Intelligence subline of the Lecture Notes in Computer Science
series.
Extended versions of AIMSA 2018 selected papers will be published by
MDPI, Switzerland, in a special issue of ?Information? (ISSN 2078-2489)
? an Open Access Journal of Information Science
(http://www.mdpi.com/journal/information/special_issues/AIMSA_2018.).
PROGRAMME COMMITTEE CHAIR
Josef van Genabith??? The German Research Center for Artificial
Intelligence DFKI
KEYNOTE SPEAKERS
Feiyu Xu??? ??? ??? ??? ? AI Lab, Lenovo Research, Lenovo Group, China
John D. Kelleher??? Dublin Institute of Technology, Ireland
Milica Gasic??? ??? ??? University of Cambridge, UK
ASSOCIATED EVENTS
Workshop on Artificial Intelligence in Bioinformatics ? 11th of
September, 2018
http://www.aimsaconference.org/workshop.php
LANGUAGE
The official language of the conference is English.
LOCATION
Golden Sands is a modern resort with traditions, and history going back
50 years. A unique blend of lovely nature park, warm sea, and fine
golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious
international award for environmentally clean resorts
REGISTRATION
The AIMSA'2018 registration fee includes attendance to AIMSA'2018
technical sessions, a copy of the AIMSA'2018 proceedings, welcome
reception, working lunches, coffee-breaks and the conference dinner.
Registration fees (before August 1st)
Regular fee?AIMSA 400 Euro
Student/PhD Student AIMSA? ??? ??? ??? ??? ??? ??? ??? 300 Euro
Regular fee?WORKSHOP??? ??? ??? ??? ??? ??? ??? ??? ??? ??? 150 Euro
Regular fee?AIMSA & WORKSHOP??? ??? ??? ??? ??? ??? 500 Euro
Student/PhD Student?AIMSA & WORKSHOP??? 400 Euro
GRANTS
Bulgarian Artificial Intelligence Association will provide several
grants for PhD students and young researchers. The grant covers the
conference fee.
LOCAL ORGANIZING COMMITTEE CHAIR
Gennady Agre
Institute of Information and Communication Technologies
Bulgarian Academy of Sciences
Acad. G. Bonchev 2, 1113 Sofia, Bulgaria
E-mail: agre at iinf.bas.bg
Phone: +359 28700118
Fax: +359 28707273
ORGANIZERS
Bulgarian Artificial Intelligence Association
Institute of Information and Communication Technologies at the Bulgarian
Academy of Sciences (IICT ? BAS)
From tj at cs.cornell.edu Wed May 9 12:03:17 2018
From: tj at cs.cornell.edu (Thorsten Joachims)
Date: Wed, 9 May 2018 16:03:17 +0000
Subject: Connectionists: CausalML Workshop at ICML / IJACI / AAMAS
Message-ID:
CausalML 2018 : ICML / IJCAI / AAMAS Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action
https://sites.google.com/site/faim18wscausalml/
July 15, 2018
Stockholm, Sweden
Many of the most impactful applications of machine learning are not just about prediction, but are about putting learning systems in control of selecting the right action at the right time. Examples of such systems range from search engines that act by displaying a ranking, to medical decision support systems, recommender systems, ad placement systems, conversational systems, automated trading platforms, computer games, and cyber-physical systems like self-driving cars. This focus on acting requires some causal understanding of the world, since actions are interventions that change the distribution of data unlike in standard prediction problems. This gives rise to challenging counterfactual and causal prediction problems. However, causality is only a means to an end - namely being able to take the right actions; one typically does not have the burden of providing strong proofs of causal discovery.
Confirmed invited speakers: Alekh Agarwal, Victor Chernozhukov, Alexandra Chouldechova, Mohammad Ghavamzadeh, Jonas Peters, Suchi Saria, Csaba Szepesvari, Stefan Wager
We solicit submission of novel research related to all aspects of causal inference, counterfactual prediction, and autonomous action. This includes, but is not limited to, the following topics:
- Predicting counterfactual outcomes
- Estimation of (conditional) average treatment effects
- Contextual bandit algorithms and on-policy learning
- Batch/offline learning from bandit feedback
- Off-policy evaluation and learning
- Interactive experimental control vs. counterfactual estimation from logged experiments
- Online A/B-testing vs. offline A/B-testing
- De-biasing observational data and feedback cycles
- Fairness of actions and causal aspects of fairness
- Applications in online systems (e.g. search, recommendation, ad placement)
- Applications in physical systems (e.g. cars, smart homes)
- Applications in medicine (e.g. personalized treatment, clinical trials)
We suggest extended abstracts of 2 pages in ICML format, but no specific format is enforced. A maximum of 8 pages will be considered. References will not count towards the page limit. PDF files only. At the discretion of the organizers, accepted contributions will be assigned slots as contributed talks and others will be presented as posters.
The deadline for submissions has been extended to
May 23, 2018
Submissions via https://sites.google.com/site/faim18wscausalml/
Author notification: May 30,2018
As part of the workshop, we are organizing a CrowdAI competition on learning from logged contextual bandit feedback with non-uniform action-selection propensities. The data is provided by Criteo, and a separate announcement is forthcoming. The winners will be invited to present their approach at the workshop.
Organizers
Clement Calauzenes (Criteo)
Thorsten Joachims (Cornell)
Nathan Kallus (Cornell)
Adith Swaminathan (Microsoft Research)
Philip Thomas (UMass Amherst)
---
Thorsten Joachims
Chair, Department of Information Science
Professor, Department of Computer Science
Cornell University
http://www.joachims.org/
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From george at cs.ucy.ac.cy Wed May 9 10:34:11 2018
From: george at cs.ucy.ac.cy (George Angelos Papadopoulos)
Date: Wed, 9 May 2018 17:34:11 +0300
Subject: Connectionists: The 34th ACM Symposium on Applied Computing (SAC
2019): Call for Track Proposals
Message-ID: <13E61ADB-0201-4F48-8968-43B399BCB2C0@cs.ucy.ac.cy>
*** CALL FOR TRACK PROPOSALS ***
The 34th ACM Symposium on Applied Computing (SAC 2019)
St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019
https://www.sigapp.org/sac/sac2019
*** Submission Deadline: May 25, 2018 ***
For the past thirty-three years the ACM Symposium on Applied Computing
(SAC) has been a primary and international forum for applied computer
scientists, computer engineers and application developers to gather,
interact and present their work. The ACM Special Interest Group on
Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference
proceedings are published by ACM and are also available online through
ACM's Digital Library.
SAC is based on a flexible structure of mostly self-contained and
self-managed tracks. Over the past years SAC hosted tracks on a variety
of timely topics such as Artificial Intelligence, Bioinformatics, Computer
Security, Database Technology, Data Mining, Embedded Systems,
Evolutionary Computing, Distributed Systems and Grid Computing, Mobile
Computing, Programming Languages, Software Engineering, and Web
Technologies. SAC 2018 included 40 tracks that attracted 931 paper
submissions from 50 countries; 235 submissions were finally accepted as
full papers (25% acceptance rate). More information on past SAC events
can be found at https://www.sigapp.org/conferences/sac .
The 34th Annual SAC meeting will be held in April 2019 in Limassol, Cyprus,
and is hosted by the University of Cyprus. The conference Organizing
Committee solicits proposals for organizing and hosting tracks. Prospective
track chairs should submit an up to two-page description for organizing a
track, which should include at least the following items:
1) The proposed title for the track with a description of its aims, topics it
will cover, and rationale for having such a track in SAC. This rationale
should refer to any related conference events that are held regularly and
why the proposed track differs from them or complements them. The
proposed track should not be overly general but also not overly specialized,
thus being able to attract a wide audience of people sharing similar
interests. Proposals from industry are also encouraged. Despite its name,
SAC also welcomes topics of mostly theoretical nature, provided there is
clear practical potential in applying the results of such work.
2) A short description of the activities the track chair(s) will undertake
upon acceptance of the proposal, to disseminate the call-for-papers for the
track, and to manage the review process. (Current Track Chairs guideline
document is posted on the SAC 2019 website).
3) A short CV of the prospective track chair(s) with reference to research
interests and publication record directly related to the themes of the
proposed track, and any previous experience of involvement in the
organization of similar events (in the interest of brevity, reference to a
personal web page where such information can be found will be sufficient).
All proposals will be reviewed by the Program Committee using the criteria
described above. The Committee reserves the right to: (1) accept a proposal
as is, (2) require modifications before acceptance, (3) recommend merging
of similar proposals with a considerable overlap in the topics addressed (in
this case the track chairs of the different proposals will be asked to form a
single track), (4) reject a proposal. Upon acceptance of a proposal, the track
chairs will be notified of their responsibilities in managing the affairs of their
track; as such responsibilities are defined by both the ACM and SAC
conference rules. The Committee reserves the rights to cancel a track at
any time if these responsibilities are not addressed adequately by the track
chair(s).
Important Dates
May 25, 2018: Submission of track proposals
June 8, 2018: Notification of acceptance/rejection
June 15, 2018: Call-For-Papers for accepted tracks
Sept 10, 2018: Submission of papers
Sept 20, 2018: Submission of tutorial proposals
Nov 10, 2018: Author notification
Nov 25, 2018: Camera-ready copies
Please submit your proposal electronically to the START submission system
in PDF format through the SAC 2019 website. If you encounter any
problems for your submission, please e-mail your questions to:
- Dongwan Shin (dongwan.shin at nmt.edu)
- Seiji Isotani (isotani at ieee.org)
SAC 2019 Program Co-Chairs
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From bucchiarone at fbk.eu Thu May 10 05:19:36 2018
From: bucchiarone at fbk.eu (Antonio Bucchiarone)
Date: Thu, 10 May 2018 11:19:36 +0200
Subject: Connectionists: eCAS 2018 CALL FOR PAPERS: 3rd Workshop on
Engineering Collective Adaptive Systems
Message-ID:
eCAS2018
------------------------------------------------------------------------------------------------------------------------------------------------------------
CALL FOR PAPERS
3rd Workshop on Engineering Collective Adaptive Systems eCAS 2018
September 7th, 2018
Fondazione Bruno Kessler (FBK) & University of Trento - Trento, Italy
Web site: ecas2018.apice.unibo.it
------------------------------------------------------------------------------------------------------------------------------------------------------------
AIMS AND MOTIVATION
Modern software systems are becoming more and more collective, composed of
many distributed and heterogeneous entities. These systems operate under
continuous perturbations making manual adjustments infeasible. For a
collective system to be resilient, its adaptation must also be collective,
in the sense that multiple entities must adapt in a way that addresses
critical runtime conditions while preserving the benefits of the
collaborative interdependencies. Decision-making in such systems is
distributed and possibly highly dispersed, and interaction between the
entities may lead to the emergence of unexpected phenomena.
In such systems, a new approach for adaptation is needed to allow (i)
multiple entities to collectively adapt with (ii) negotiations to decide
which collective changes are best. Collective adaptation also raises a
second important challenge: which parts of the system (things, services,
people) should be engaged in an adaptation? This is not trivial, since
multiple solutions to the same problem may be generated at different
levels. The challenge here is to understand these levels and create
mechanisms to decide the right scope for an adaptation for a given problem.
This workshop solicits papers that address new methodologies, theories and
principles that can be used in order to develop a better understanding of
the fundamental factors underpinning the operation of such systems, so that
we can better design, build, and analyze them, as well as case studies and
applications showing such approaches in action. Interdisciplinary work is
particularly welcomed.
Suggested Topics (but not limited to):
Novel theories relating to operating principles of CAS
Novel design principles for building CAS systems
Insights into the short and long-term adaptation of CAS systems
Insights into emergent properties of CAS
Insights into general properties of large scale, distributed CAS
Decision-making approaches in CAS
Methodologies for studying, analyzing, and building CAS
Frameworks for analyzing or developing CAS case studies
Languages, platforms, APIs and other tools for CAS
Scenarios, case studies, and experience reports of CAS in different
contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings,
traffic management, emergency response, etc.)
SCOPE
The workshop is expected to attract participants from many disciplines,
including Autonomic Computing, Biology, Game Theory, Evolutionary
Computing, Network Science, Self-Organizing Systems, Pervasive Computing,
and to be of interest to anyone working with the domain of large-scale
self-adaptive systems. In addition, the European Commission has funded
seven scientific projects and a Coordination Action in this area, with
projects starting at the beginning of 2013. Thus, the workshop provides a
natural base for the projects to meet and share ideas, even if it is in no
way limited to this audience, and is likely to have broad appeal to a wide
range of researchers. Potential audience members might work in application
areas relating to large-scale distributed systems, or may come from any of
the many disciplines that can provide insights into the operation and
design of such systems.
IMPORTANT DATES
Abstract submission: June 4, 2018
Workshop paper submission: June 11, 2018
Workshop paper notification: July 9, 2018
Camera-Ready Version: July 15, 2018
Workshop: September 7, 2018
------------------------------------------------------------------------------------------------------------------------------------------------------------
SUBMISSION INSTRUCTIONS and REVIEW CRITERIA
The length of a workshop paper may not exceed 6 pages including references
and follow the IEEE Computer Society Press proceedings style guide.
All papers should be submitted in PDF format. You can submit the paper
through EasyChair using this link:
https://easychair.org/conferences/?conf=ecas2018
By submitting a paper, the authors confirm that in case of acceptance, at
least one author will attend the workshop to present the work.
Papers will be peer reviewed on the basis of originality, readability,
relevance to themes, soundness, and overall quality. Workshop proceedings
will be published on IEEE Xplore in parallel with the main conference
proceedings.
WORKSHOP ORGANIZERS
Simon Dobson, University of St Andrews, UK,
simon.dobson at st-andrews.ac.uk
Martina De Sanctis, Fondazione Bruno Kessler, Trento, Italy,
msanctis at fbk.eu
Giacomo Cabri, Universit? di Modena e Reggio Emilia, Italy,
giacomo.cabri at unimore.it
STEERING COMMITTEE
Jacob Beal, Raytheon BBN Technologies, USA
Giacomo Cabri, University of Modena And Reggio Emilia, Italy
Nicola Capodieci, University of Modena and Reggio Emilia, Italy
Emma Hart, Edinburgh Napier University, U.K
Jane Hillston, University of Edinburgh, U.K
Mirko Viroli, University of Bologna, Italy
WORKSHOP PROGRAM COMMITTEE (TO BE FINALIZED)
Gerrit Anders, Augsburg University
Franco Bagnoli, Universit? di Firenze
Ezio Bartocci, TU Wien
Luca Bortolussi, University of Trieste
Johann Bourcier, IRISA/INRIA-Universite de Rennes 1
Sven Brueckner, Axon Connected LLC
Giacomo Cabri, Universit? di Modena e Reggio Emilia
Javier Camara, Carnegie Mellon University
Siobhan Clarke, Trinity College Dublin
Daniel Coore, University of the West Indies
Ferruccio Damiani, Dipartimento di Informatica, Universit? di Torino
Rocco De Nicola, IMT - School for Advanced Studies Lucca
Giovanna Di Marzo Serugendo, University of Geneva
Ada Diaconescu, Telecom ParisTech, CNRS LTCI
Simon Dobson, University of St Andrews
Matt Duckham, RMIT University
Stefan Dulman, CWI
Schahram Dustdar, TU Wien
Jane Hillston, University of Edinburgh
Paola Inverardi, University of L?Aquila
Eva K?hn, TU Wien
Peter Lewis, Aston University
Nicolas Markey, LSV, CNRS & ENS Cachan
Annapaola Marconi, Fondazione Bruno Kessler, Trento
Mieke Massink, CNR-ISTI
Hernan Melgratti -- University of Buenos Aires, Argentina
Monjur Mourshed, Cardiff University, UK
Mirco Musolesi, University College London
Carlo Pinciroli, ?cole Polytechnique de Montreal
Alexander Schiendorfer, University Augsburg
Bradley Schmerl, Carnegie Mellon University
Antoine Spicher, LACL University Paris Est Creteil
Katia Sycara, Carnegie Mellon University
Christof Teuscher, Portland State University
Mirko Viroli, Universit? di Bologna
Martin Wirsing, Ludwig-Maximilians-Universitaet Muenchen
REGISTRATION
All attendees at the workshop must register for SASO through the conference
website: https://saso2018.fbk.eu/index.php/registration/
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From lciti at essex.ac.uk Thu May 10 10:46:22 2018
From: lciti at essex.ac.uk (Luca Citi)
Date: Thu, 10 May 2018 15:46:22 +0100
Subject: Connectionists: JOB: Post-doc in Neural Engineering
Message-ID:
Postdoctoral Research Associate in Neural Engineering
University of Essex - School of Computer Science and Electronic Engineering
The School of Computer Science and Electronic Engineering (CSEE) and the
Essex BCI and Neural Engineering Lab are pleased to announce this
postdoctoral position in the Horizon 2020 project "DeTOP: Dexterous
Transradial Osseointegrated Prosthesis with neural control and sensory
feedback". The project started approximately 2 years ago and will run
until the end of February 2010.
Web site: http://www.detop-project.eu/
DeTOP's aim is to develop osseointegrated prostheses (i.e. prostheses
with a direct skeletal attachment) for transradial amputees. We are
developing a novel prosthetic hand with improved functionality, smart
mechatronic devices for safe implantable technology, and novel paradigms
for natural control (action) and sensory feedback (perception) of the
prosthesis through the implant.
The Essex team is working on the development of robust neuro-muscular
control algorithms for decoding users' intentions and enabling efficient
control of the hand-wrist prosthesis.
The successful applicant will have received a PhD in Biomedical
Engineering, Electronic Engineering, Statistics, Computer Science or a
closely related discipline. The ideal candidate will have significant
experience in neural engineering, neuro-muscular signal processing and
programming on embedded platforms. Applicants are also expected to have
a strong publication record as first author, ideally including
publications in 1st quartile journals in relevant areas.
Appointment will be made as Senior Research Officer.
Job reference: ??? REQ01292
Application closing date: *15/05/2018*
Salary: ?? ?32,548 - ?34,521 per annum
Further information and application instructions:
https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=234680GY16&WVID=9918109NEm
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From stefano.rovetta at unige.it Thu May 10 14:52:27 2018
From: stefano.rovetta at unige.it (Stefano Rovetta)
Date: Thu, 10 May 2018 20:52:27 +0200
Subject: Connectionists: Addendum to cfp - SETIT2018
Message-ID: <1525978347.5af494eb5dff9@webmail.unige.it>
Dear colleagues,
I am sending again the following cfp after fixing an issue
that prevented signing up on the web site for submission.
Now it is possible to submit your contribution!
We apologize for the inconvenience
DEADLINE EXTENDED - SUBMISSION MAY 31
Third Call for papers
---------------------------------
S E T I T 2 0 1 8
The Eigth Conference on the Sciences of Electronics, Technologies
of Information and Telecommunications
Genoa, Italy, September 3-5, 2018
---------------------------------
Sponsored by
The IEEE Italy Section Computational Intelligence Society Chapter
Proceedings published by IEEE
The Conference covers all topics in the fields of information and
communication technologies and related sciences. It aims to bring
together researchers and developers from both academia and industry
to report on the latest scientific and theoretical advances in their
respective areas, fostering a cross-disciplinary dissemination that
would be otherwise made difficult by the extreme specialization
of each field.
In today?s information-centered world, the relevance of hardware,
software, telecommunications cannot be overestimated; even fields
traditionally involved only marginally, like factory automation
and production engineering, are currently discovering the value
of data and information, with such trends as the Industry 4.0 or
the exponential growth of machine learning and AI, and with all
the consequent technological developments that are needed to
support them.
The Conference encourages submission of both theoretical advances and
interesting applications, with special emphasis on (but not limited to)
interdisciplinary works at the intersection of two or more of the areas
covered.
TOPICS
- Information Processing: Machine Learning, Fuzzy Logic and
Computational Intelligence, Data Mining, Information Fusion, Source
Separation, Business Intelligence, Artificial intelligence
- Human-machine Interaction: Model Driven Engineering, UX and Usability,
Virtual, Mixed and Augmented Reality, Ubiquitous Computing Systems,
Adaptive and Intelligent Systems, Social Network analysis
- Computer Science: Algorithm and Theory, Programming Languages,
Information Systems Management, High-performance computing, Intelligent
e-Technology, Data Warehouse and Big Data, Quantum Computing
- Telecommunications and Networks: Network Protocols, Wireless Sensor
Networks, Networks and Cloud Computing, Security, Quality of Service
and Resource Management, Internet Of Things, Vehicular Applications
and Technologies
- Signal Processing: Signal Detection, Estimation and Restoration,
Statistical Signal Processing, Design and Implementation of Signal
Processing, Audio, Acoustic, Speech and Biomedical Signal,
Non-Stationary, Non-linear and Non-gaussian Signals, Modeling
in Signals
- Electronics: Electronic Integration, Circuits and Systems for
Communications, Nanodevices and Nanosystems, Instrumentation
Engineering, Embedded Systems, Power Electronics, Automatic Control
of Power Plants
- Image and Video: Image and Video Processing Technology, Compression,
Coding and Implementation, Cryptology and Watermarking, Storage,
Retrieval, and Authentication, Biomedical Image and Health, Multimedia
Applications
Important dates
May 31 Paper submission - EXTENDED DEADLINE
Jun 30 Notification of acceptance
Jul 10 Early registration
Jul 15 Final paper upload
Sep 03-05 CONFERENCE
CONFERENCE PROCEEDINGS
Proceedings of SETIT 2018 will published by IEEE and available
through IEEExplore. The scientific program will include some invited
talks and tutorials, as well as contributed papers that will be
presented in oral or poster sessions.
Chairs
Stefano Rovetta, University of Genoa, Italy
Med salim Bouhlel, Sfax University, Tunisia
Scientific Secretariat
Francesco Masulli, University of Genoa, Italy
Alberto Cabri, University of Genoa, Italy
Submission of contributions: Please submit your manuscript for peer
review, no more than 8 pages long, on
http://www.setit.rnu.tn/submission-modality.html
Submission implies the willingness of at least one author per paper
to register, attend the conference, and present the paper.
From steve at bu.edu Thu May 10 15:29:41 2018
From: steve at bu.edu (Grossberg, Stephen)
Date: Thu, 10 May 2018 19:29:41 +0000
Subject: Connectionists: A unified theory of prefrontal cortex and its
functions
Message-ID:
Dear colleagues,
The following Open Access article develops a unified theory of prefrontal cortex and its functions:
Grossberg, S. (2018). Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and dorsolateral prefrontal cortices. Brain and Neuroscience Advances. May 8, 2018.
http://journals.sagepub.com/doi/full/10.1177/2398212818772179
Abstract:
Background: The prefrontal cortices play an essential role in cognitive-emotional and working memory processes through interactions with multiple brain regions.
Methods: This article further develops a unified neural architecture that explains many recent and classical data about prefrontal function, and makes testable predictions.
Results: Prefrontal properties of desirability, availability, credit assignment, category learning, and feature-based attention are explained. These properties arise through interactions of orbitofrontal, ventrolateral prefrontal, and dorsolateral prefrontal cortices with the inferotemporal cortex, perirhinal cortex, parahippocampal cortices; ventral bank of the principal sulcus, ventral prearcuate gyrus, frontal eye fields, hippocampus, amygdala, basal ganglia, hypothalamus, and visual cortical areas V1, V2, V3A, V4, MT, MST, LIP, and PPC. Model explanations also include how the value of visual objects and events is computed, which objects and events cause desired consequences and which may be ignored as predictively irrelevant, and how to plan and act to realize these consequences, including how to selectively filter expected vs. unexpected events, leading to movements towards, and conscious perception of, expected events. Modeled processes include reinforcement learning and incentive motivational learning; object and spatial working memory dynamics; and category learning, including the learning of object categories, value categories, object-value categories, and sequence categories, or list chunks.
Conclusions: This article hereby proposes a unified theory of prefrontal cortex and its functions.
Best,
Steve Grossberg
Stephen Grossberg
http://en.wikipedia.org/wiki/Stephen_Grossberg
http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en
https://youtu.be/9n5AnvFur7I
https://www.youtube.com/watch?v=_hBye6JQCh4
Wang Professor of Cognitive and Neural Systems
Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering
Director, Center for Adaptive Systems
Boston University
http://cns.bu.edu/~steve
steve at bu.edu
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From pkordjam at tulane.edu Thu May 10 16:33:47 2018
From: pkordjam at tulane.edu (Kordjamshidi, Parisa)
Date: Thu, 10 May 2018 20:33:47 +0000
Subject: Connectionists: Postdoctoral position in Machine learning/Natural
language processing/Biomedical image processing
Message-ID: <3E75DEFC-5607-4A70-8959-C2555C9B0263@tulane.edu>
Tulane University: Computer Science
Location: New Orleans, LA
Open Date: Apr 9, 2018
Deadline: Aug 15, 2018
Description
The postdoctoral fellow will work with Parisa Kordjamshidi?s research group. There are three possible research directions depending on the interests, expertise and the qualifications of the candidate:
1) Processing biomedical images as well as signals taken from artificial nerve tissues.
2) Natural language processing and extraction of semantics from language. In this direction we are interested in combining visual and textual data for understanding spatial information.
3) Research and development related to declarative learning based programming. In developing this framework, our goal is to facilitate the design of structured machine learning techniques where we enable using declarative domain knowledge in learning.
Qualifications
Minimum qualifications:
? Knowledge in machine learning techniques and application to the problem domains announced in the position description
? Publication record with peer-reviewed publications
? Good communication and teamwork skills
? Interest in attending conferences
? Ability to handle deadlines
? PhD in computer science or related area.
Preferred qualifications:
? Experience and interest in open source software development
? Excellent programming and software development skills
Application Instructions
Candidates must apply via Interfolio (https://apply.interfolio.com/49982) and provide the following: a CV, cover letter, and at least three letters of recommendation.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Equal Employment Opportunity Statement
Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply.
-------------------------------------------
Kordjamshidi, Parisa
Assistant Professor
CS Department at Tulane University
Research Scientist at IHMC
Homepage
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From dwitten at uw.edu Fri May 11 00:34:27 2018
From: dwitten at uw.edu (Daniela M Witten)
Date: Thu, 10 May 2018 21:34:27 -0700
Subject: Connectionists: post-doc in statistical machine learning / comp
neuro at U Washington
Message-ID:
We are looking to hire a post-doctoral research associate with an interest
in developing statistical machine learning methods for neuroscience
applications (specifically the analysis of large scale neural imaging data
obtained from the reward circuit during decision-making behavior).
The candidate would work under the direct supervision of Dr. Daniela Witten
(University of Washington), and in collaboration with Dr. Ilana Witten
(Princeton University).
The candidate should have a PhD or equivalent degree in Statistics,
Biostatistics, Computer Science, Applied Math, or a related field.
If interested, please e-mail your CV, contact information for three
references, and up to three pre-prints or publications to dwitten at uw.edu .
--
Daniela M. Witten
Associate Professor
Dept of Statistics & Biostatistics
University of Washington
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From matthieu.gilson at upf.edu Fri May 11 12:07:48 2018
From: matthieu.gilson at upf.edu (Matthieu Gilson)
Date: Fri, 11 May 2018 18:07:48 +0200
Subject: Connectionists: summer course "Analysis of neural data and brain
connectivity" at UPC (Barcelona, Spain)
Message-ID:
Dear everyone,
We are pleased to announce a one-week course on "Introduction to
analysis of neural data and brain connectivity" at the Universitat
Politecnica de Catalunya (UPC) in Barcelona from the 2nd to 6th of July
(15 hours in total).
The course comprises theoretical and practical classes. A complete
description with objectives is available there:
http://matthieugilson.eu/events/oneweek_UPC_summercourse.html
The registration is now open, simply follow the following link:
https://mesioupcub.masters.upc.edu/en/xii-summer-school-2018?where you
can also find additional information for other courses.
This course is part of the XII summer School in Statistics organized by
the Facultat de Matem?tiques i Estad?stica (UPC) from June 18th to July
20th.
With best regards,
Adri? Tauste-Campo, Andrea Insabato, Gorka Zamora-L?pez and Matthieu Gilson
--
Matthieu Gilson
Center for Brain and Cognition
Universitat Pompeu Fabra
From george at cs.ucy.ac.cy Fri May 11 09:24:34 2018
From: george at cs.ucy.ac.cy (George Angelos Papadopoulos)
Date: Fri, 11 May 2018 16:24:34 +0300
Subject: Connectionists: 24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018): Last Call for Papers
Message-ID: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy>
*** LAST CALL FOR PAPERS ***
24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
*** Extended Deadline: 28 May, 2018 ***
WELCOME
ISMIS is an established and prestigious conference for exchanging the latest
research results in building intelligent systems. Held twice every three years,
the conference provides a medium for exchanging scientific research and
technological achievements accomplished by the international community.
SCOPE
The scope of ISMIS is intended to represent a wide range of topics on
applying Artificial Intelligence techniques to areas as diverse as decision
support, automated deduction, reasoning, knowledge based systems,
machine learning, computer vision, robotics, planning, databases,
information retrieval, etc. The focus is on research in intelligent systems.
The conference addresses issues involving solutions to problems that are
complex to be solved through conventional approaches and that require the
simulation of intelligent thought processes, heuristics and applications of
knowledge. The integration of these multiple approaches in solving
complex problems is of particular importance. ISMIS provides a forum and a
means for exchanging information for those interested purely in theory,
those interested primarily in implementation, and those interested in specific
research and industrial applications.
INVITED SPEAKERS
? Michael May - Siemens, Munich, Germany
? Jean-Marc Petit - INSA Lyon and Universit? de Lyon, France
TOPICS
ISMIS 2018 is intended to attract individuals who are actively engaged both
in theoretical and practical aspects of intelligent systems. The goal is to
provide a platform for a useful exchange between theoreticians and
practitioners, and to foster the cross-fertilization of ideas in the following
areas:
? Active Media Human-Computer Interaction
? Autonomic and Evolutionary Computation
? Digital Libraries
? Health Informatics
? Intelligent Agent Technology
? Intelligent Data Processing and Analytics
? Intelligent Information Retrieval
? Intelligent Information Systems
? Intelligent Language Processing
? Knowledge Integration and Aggregation
? Knowledge Discovery and Data Mining
? Knowledge Visualization
? Logic for Artificial Intelligence
? Multimedia Information Retrieval
? Soft Computing
? Text Mining
? Web Intelligence
? Web Mining
In addition, we solicit papers dealing with Applications of Intelligent Systems
in complex/novel domains, e.g. art, human genome, global change,
manufacturing, social good, etc.
PAPER SUBMISSION
Authors are invited to submit their manuscripts in LNCS/LNAI style
(maximum 10 pages). All paper submissions will be handled electronically.
All submissions will be subject to review by the ISMIS 2018 Program
Committee. Papers should be prepared using the Springer LNCS/LNAI style
(http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines),
maximum 10 pages.
Papers should be submitted in PDF form via ISMIS 2018 Online Submission
System: https://easychair.org/conferences/?conf=ismis2018 .
PUBLICATION AND JOURNAL SPECIAL ISSUES
The ISMIS 2018 proceedings will be published by Springer in LNAI
(Lecture Notes in Artificial Intelligence) and will be available at the
conference.
Authors of best papers will be invited to submit their extended versions to
the Journal of Intelligent Information Systems (JIIS)
(http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844)
published by Springer. Fast Track Processing will be used to have them
reviewed and published.
IMPORTANT DATES
? Paper Submissions due: 28th May 2018 (extended)
? Notification of Acceptance/Rejection: 10th July 2018
? Camera-Ready Versions of Accepted Papers: 31st July 2018
? Author Registration: 31st Juy 2018
? Early Non-Author Registration: 10th September 2018
? Late Non-Author Registration: after 10th September 2018
ORGANIZING COMMITTEE
Steering Committee Chair
? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland)
Symposium Chair
? George Angelos Papadopoulos (University of Cyprus, Cyprus)
Program Committee Co-Chairs
? Michelangelo Ceci (Universita degli Studi di Bari, Italy)
? Nathalie Japkowicz (American University, USA)
? Jiming Liu (Hong Kong Baptist University, Hong Kong)
Special Sessions Chair
? Stefano Ferilli (University of Bari, Italy)
Program Committee
http://cyprusconferences.org/ismis2018/committees/
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From nkopco at gmail.com Fri May 11 12:48:28 2018
From: nkopco at gmail.com (Norbert Kopco)
Date: Fri, 11 May 2018 12:48:28 -0400
Subject: Connectionists: PhD position in Slovakia and US
Message-ID: <6ee82875-1811-5f55-d717-7313448068ea@gmail.com>
A PhD position (or a part-time postdoc) is available in Norbert Kopco's
Perception and Cognition Lab in the Institute of Computer Science at
Safarik University in Kosice, Slovakia, for a Marie Curie EU-funded
project on adaptation and learning in spatial hearing
(http://pcl.upjs.sk/grants/alt/). This is an international collaborative
project, combining psychophysical, neuroimaging and computational
methods. As part of this project, the student would have the opportunity
to work on development of modules for an auditory training game and
spend up to 12 months in the US with one or more of the collaborators on
this grant (Aaron Seitz's Brain Game Center at UC Riverside, Erick
Gallun's lab at the Portland VA / OHSU, Virginia Best or Barbara
Shinn-Cunningham at the Boston University Hearing Research Center, or
Jyrki Ahveninen at the Martinos Center for Biomedical Imaging in
Boston). Interested candidates please contact norbert.kopco at upjs.sk with
a CV and a research statement. Information about PhD student application
procedures is available at
http://www.upjs.sk/en/faculty-of-science/foreign-students/ (deadline is
31 May, 2018).
From erdi.peter at wigner.mta.hu Sun May 13 12:42:09 2018
From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=)
Date: Sun, 13 May 2018 18:42:09 +0200 (CEST)
Subject: Connectionists: Michael Arbib's autobiography is now open
Message-ID:
Dear All:
The memoir of one of the legendary brain theoreticians, Michael Arbib:
>From cybernetics to brain theory, and more: A memoir
published in Cognitive Systems Research is now freely available by August
13th at ScienceDirect:
https://www.sciencedirect.com/science/article/pii/S1389041718301360
Hope you will enjoy to read this paper!
Kind regards
P?ter ?rdi
From torcini at gmail.com Sun May 13 13:29:21 2018
From: torcini at gmail.com (A. Torcini)
Date: Sun, 13 May 2018 19:29:21 +0200
Subject: Connectionists: EXTENDED DEADLINE 20 May -- InSpire - New Insights
on Complex Neural Dynamics - 6-8 June - Paris
Message-ID:
The deadline for registration has been extended to 20th May 2018
=================================================
The following workshop in (computational) neuroscience
InSpire - New Insights on Complex Neural Dynamics
will be held on June, 6th-8th, 2018, at Institut d'Etudes Avanc?s -
Maison Internationale de la Recherche
at Neuville-sur-Oise (30 minutes from Paris with public transports)
https://inspire2018parisseine.wordpress.com/
The workshop will represent an opportunity to bring together views
from experimental and computational neuro-scientists as well as experts in
the dynamics of complex systems. A common aim is to improve the knowledge of
the mechanisms underlying neural activity in the brain.
INVITED SPEAKERS:
https://inspire2018parisseine.wordpress.com/page/
For registration, poster presentation and more details see here:
https://inspire2018parisseine.wordpress.com/about/
extended deadline for registration: 20th MAY, 2018.
The Organizers,
Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini
--
From Donald.Adjeroh at mail.wvu.edu Sun May 13 16:31:21 2018
From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh)
Date: Sun, 13 May 2018 20:31:21 +0000
Subject: Connectionists: SBP-BRiMS]18: Challenge Problems,
Doctoral Consortium, Short papers ... deadline tomorrow (Monday, May 14)
In-Reply-To:
References:
,
<7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>,
,
,
,
,
,
,
,
,
,
,
,
Message-ID:
Apologies if you receive multiple copies.
-------------------------------------------------------------------------------------------------------------------------------
SBP-BRiMS 2018
2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA
http://sbp-brims.org/2018/
Conference Registration:
Registration is now open for the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 10 ? July 13, 2018.
You can register at the website:
http://sbp-brims.org/2018/registration/
Travel Fellowships:
A limited number of fellowships is available for Student Travel Fellowships, and for Diversity Fellowships. Diversity Fellowships will be awarded based on gender, racial, and disciplinary diversity.
For more details, visit the conference website
http://sbp-brims.org/2018/, and check the menu for Scholarships, under "Conference Information".
Application Deadline is June 20, 2018.
Doctoral Consortium:
We are also accepting submissions for the Doctoral Consortium. Check the link:
http://sbp-brims.org/2018/doctoral_consortium/
Deadline: May 14, 2018
Challenge Problem Submission:
Also, check our Challenge Problems, and submit an entry.
http://sbp-brims.org/2018/challenge/
Deadline: May 14, 2018.
Short Paper Submission (Online Proceedings):
http://sbp-brims.org/2018/cfp/
Deadline: May 14, 2018.
2018 International Conference on Social Computing ...
sbp-brims.org
2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
Please visit the http://sbp-brims.org/2018/ website for more information about the conference.
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From george at cs.ucy.ac.cy Mon May 14 08:50:04 2018
From: george at cs.ucy.ac.cy (George Angelos Papadopoulos)
Date: Mon, 14 May 2018 15:50:04 +0300
Subject: Connectionists: The 6th International Conference on Enterprise
Systems (ES 2018): Fourth Call for Papers (*** Extension
Deadline ***)
Message-ID: <95675E2C-492D-4425-A371-5B07B51E8217@cs.ucy.ac.cy>
*** FOURTH CALL FOR PAPERS ***
The 6th International Conference on Enterprise Systems (ES 2018)
St. Raphael Resort, Limassol, Cyprus, 1-2 October, 2018
http://www.cyprusconferences.org/es2018
(*** Extension Deadline: 4 June, 2018 ***)
WELCOME
Welcome to the 6th International Conference on Enterprise Systems.
Enterprise Systems (ES), also referred to as Enterprise Information Systems,
has become increasingly popular over the last 20 years because it integrates
and extends business processes across the boundaries of business functions
and corporate walls, as well as country border lines. The International
Conference on Enterprise Systems (ES) has been held every year since 2013.
The sixth in the series will be held at St. Raphael Resort, Limassol, Cyprus,
8-9 October, 2018. The conference is hosted by the Department of Computer
Science, University of Cyprus.
This conference series is focusing on both the technical and application
aspects of enterprise systems, the complex and cross-disciplinary
problems of enterprise integration, and the new technological frontiers
such as Industrial Integration, Industrial Information Integration, and
Industry 4.0. The objectives of the conference are to provide high quality
research and professional interactions for the advancement of science
and technology. The main features of the conference include Keynote
Speeches, Regular and Special Sessions. It has been highlighted by the
IEEE Systems, Man, and Cybernetics Society: http://ieeesmc.org/ .
SCOPE
We welcome original and survey articles about the latest advances of
technology. The final results can be state-of-the-art, requirements,
fundamental theories, models, frameworks, algorithms, methodologies,
platforms, protocols, prototypes, testbeds, field trials, case
studies/stories, field experiences, standardization efforts, regulatory
activities, education and training innovations, etc. The application
areas include aeronautics and astronautics, agriculture, automotive,
building, construction, energy, finance, healthcare, logistics, manufacturing,
process industry, power, transportation, etc.
TOPICS
The topics of interest include but are not limited to:
? Enterprise Systems for Industry 4.0
? Cyber Physical Systems for Industry 4.0
? Internet of Things for Industry 4.0
? Big Data for Industry 4.0
? Security and Privacy Protection for Industry 4.0
? System Engineering and Human Factors for Industry 4.0
? IoT-enabled Smart Manufacturing
A full list of subtopics for each one of the above topics can be found
on the conference web site.
PAPER SUBMISSION
The submitted paper should adhere to the double-blind review policy. All
papers will be double-blind reviewed by the Program Committee on the basis
of technical quality, relevance, originality, significance, and clarity. All paper
submissions will be handled electronically. Papers that do not comply with
the Submission Guidelines will be rejected without review.
Paper types:
? Full papers present final result. They must not exceed 8 pages.
? Short papers can contain preliminary results. They must not exceed 6
pages.
? Work-in-progress papers to present valuable and latest progresses of
ongoing projects: 4 pages.
Note, all manuscripts shall be written in English, using the IEEE conference
template (double column, size 10). Templates can be found at:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html .
Please use the following submission link for Easy Chair:
https://easychair.org/conferences/?conf=es20180 .
PUBLICATION AND SPECIAL ISSUES
Accepted papers will be submitted for inclusion into the IEEE Xplore
Database which is indexed by EI. Furthermore, selected papers will be
invited for a special issue by the Journal of Industrial Integration and
Management, World Scientific, with theme "Next-Generation Enterprise
Systems in the Industrial Integration Era". More information is available
on the conference web site.
IMPORTANT DATES
? Regular Paper Submissions (al types) due: 4th June 2018 (extended)
? Notification of Acceptance/Rejection: 23rd July 2018
? Camera-Ready Versions of Accepted Papers: 13th August 2018
? Author Registration: 13th August 2018
? Early Non-Author Registration: 10th September 2018
? Late Non-Author Registration: after 10th September 2018
ORGANIZING COMMITTEE
Honorary General Chairs
? Aurona Gerber, South Africa, IEEE SMC EAE TC Chair
? Alta Van der Merwe, South Africa, IEEE SMC EAE TC Chair
? Li Da Xu, USA, IEEE SMC EIS TC Co-Chair
Program Chair
? George Angelos Papadopoulos, University of Cyprus, Cyprus
Program Co-Chairs
? Ling Xia Li, Old Dominion University, USA
? Wattana Golf Viriyasitavat, Chulalongkorn University, Thailand
? Yale Yu, Infosys Australia & New Zealand
? Chris Zhang, University of Saskatchewan, Canada
? Zhuo Zou, Fudan University, China
Program Committee
http://www.cyprusconferences.org/es2018/pages/pc.html
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From kendrick.kay at gmail.com Mon May 14 09:21:37 2018
From: kendrick.kay at gmail.com (Kendrick Kay)
Date: Mon, 14 May 2018 08:21:37 -0500
Subject: Connectionists: CCN 2018 Paper Deadline May 25
Message-ID:
Dear colleague,
*Cognitive Computational Neuroscience (CCN)* is an
annual conference designed to foster interaction between the cognitive
science, artificial intelligence, and neuroscience communities.
This year's conference has an exciting list of confirmed speakers. We also
will be hosting several innovative special events:
Mind matching (computer-assisted networking event)
Challenges and controversies (debate between leaders from different
disciplines)
Cross-collaboration breakouts (directed small-group discussion)
Paper submission deadline for CCN 2018 is *May 25, 2018*. More information
available at http://ccneuro.org.
Confirmed speakers for CCN 2018:
Ryan Adams
Danielle Bassett
Marlene Cohen
Sam Gershman
Alison Gopnik
John Krakauer
Tim Lillicrap
Josh McDermott
Maneesh Sahani
Eero Simoncelli
Dan Yamins
? CCN Steering Committee
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From Nicolas.Rougier at inria.fr Mon May 14 09:42:42 2018
From: Nicolas.Rougier at inria.fr (Nicolas Rougier)
Date: Mon, 14 May 2018 15:42:42 +0200
Subject: Connectionists: New replications in ReScience
Message-ID:
Dear all,
It?s my great pleasure to announce that the following articles:
* Non-additive coupling enables propagation of synchronous spiking activity in purely random networks, R.M. Memmesheimer, M. Timme, PLoS Computational Biology, 8(4): e1002384, 2012. DOI: 10.1371/journal.pcbi.1002384
* A Neural Model of the Saccade Generator in the Reticular Formation, Gancarz, G., Grossberg, S., Neural Networks 11, no. 7-8 (October 1998): 1159-74. DOI:10.1016/S0893-6080(98)00096-3
* The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model, T.C. Potjans, M. Diesmann, Cerebral Cortex, 24 (3): 785-806, 2014. DOI: 10.1093/cercor/bhs358
have been all successfully replicated. Articles and corresponding code are available from http://rescience.github.io/read/
Best,
Nicolas P. Rougier
From odette.scharenborg at gmail.com Mon May 14 09:44:58 2018
From: odette.scharenborg at gmail.com (Odette Scharenborg)
Date: Mon, 14 May 2018 15:44:58 +0200
Subject: Connectionists: Reminder: Call for abstracts: 3rd International
Workshop for Young Female Researchers in Speech Science & Technology
(YFRSW-2018)
Message-ID:
==== YFRSW-2018, Hyderabad, India, September 1, 2018 ====
3rd International Workshop for Young Female Researchers in Speech Science
& Technology (YFRSW-2018)
Special event of Interspeech 2018, Hyderabad, India
== Important Dates:
- Abstract submission opens: 16 April 2018
- Abstract submission closes: 24 May 2018
- Notification of acceptance: 15 June 2018
- Registration deadline: 5 July 2018
- Workshop date: 1 September 2018
== Topic:
The aim of this workshop is to bring women undergraduate and masters
students, who are currently working in speech science and technology,
together at a special event co-located with Interspeech 2018, Hyderabad,
India. The workshop will take place on 1 September 2018 from 10am to 5pm
followed by a dinner with invited senior members of the Interspeech
community. It will feature panel discussions with senior female
researchers in the field, student poster presentations and a mentoring
session.
The workshop is the third of its kind, after a successful inaugural event
(YFRSW 2016) at Interspeech 2016 in San Francisco and the second event
(YFRSW 2017) in Stockholm, Sweden. It is designed to foster interest in
research in our field in women at the undergraduate or master level who
have not yet committed to getting a PhD in speech science or technology
areas, but who have had some research experience in their college and
universities via individual or group projects.
== Call for Participation
Abstracts describing the student?s (planned) research (maximum of 300
words) should be submitted by email to
yfrs.workshop at gmail.com by May 24, 2018.
Abstracts will be reviewed by the committee and applicants will be
notified by June 15, 2018. Emphasis will be on inclusivity although all
submissions should be in the core scientific domains covered by
Interspeech.
== Preliminary Program:
The workshop will include the following events:
* A welcome breakfast with introductions (1h)
* A panel of senior women talking about their own research and experiences
as women in the speech community (1h)
* A panel of senior students who work in the speech area to describe how
they became interested in speech research (1h)
* A poster session for the students to present their own research (2h)
* A coaching session between students and senior women mentors (1h)
* A networking lunch for students and senior women (1h)
== Organizing committee:
Amber Afshan (UCLA),
Kay Berkling (Karlsruhe University),
Heidi Christensen (University of Sheffield),
Maxine Eskenazi (CMU),
Milica Gasic (Cambridge University),
Dilek Hakkani-T?r (Google Inc),
Preethi Jyothi (IIT Bombay),
Esther Klabbers (ReadSpeaker),
Lori Lamel (LIMSI CNRS)
Yang Liu (University of Texas Dallas)
Karen Livescu (Toyota Technological Institute at Chicago),
Pratibha Moogi (Samsung Electronics),
Emily Mower Provost (University of Michigah),
Catharine Oertel (EPFL)
Bhuvana Ramabhadran (Google Inc),
Odette Scharenborg (M*Modal),
Elizabeth Shriberg (Ellipsis Health Inc),
Isabel Trancoso (INESC-ID / Instituto Superior T?cnico)
For further details, please see:
https://sites.google.com/view/yfrsw2018/home
From marc.toussaint at informatik.uni-stuttgart.de Mon May 14 10:41:13 2018
From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint)
Date: Mon, 14 May 2018 10:41:13 -0400
Subject: Connectionists: Full Professor (W3) in Autonomous Systems @ U
Stuttgart, Germany
Message-ID: <914fe098-26aa-ec95-ed5b-195108fc2991@informatik.uni-stuttgart.de>
*Full Professor (W3) in Autonomous Systems @ U Stuttgart, Germany*
Dear all,
Stuttgart is investing heavily in AI and is creating several new
positions. Here is a call for a full (tenured) professor in Autonomous
Systems
https://www.f05.uni-stuttgart.de/fakultaet/aktuelles/news/Open-Position-Full-Professorship-Autonomous-Systems/
*Deadline: June 4th*
Some informal comments from me:
* Topic-wise the position is very open (autonomous, cooperative, and
cognitive AI systems, see details in the call).
* The position is part of the 'Cyber Valley' initiative and you would be
embedded in a new AI Institute at U Stuttgart. You'll have a great
research environment, also with the Max-Planck Institute for Intelligent
Systems (Stuttgart/T?bingen), University T?bingen, and the local
industry (Bosch, Daimler, etc).
Let me know if you have questions.
Best,
Marc
--
Marc Toussaint
http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html
From Herve.Frezza-Buet at centralesupelec.fr Tue May 15 06:26:42 2018
From: Herve.Frezza-Buet at centralesupelec.fr (=?UTF-8?Q?Herv=c3=a9_Frezza-Buet?=)
Date: Tue, 15 May 2018 12:26:42 +0200
Subject: Connectionists: PhD Proposal
Message-ID: <0aebd8f1-db56-dbc1-22e6-dc66b8c9a29b@centralesupelec.fr>
Dear all,
Please find attached to this mail a PhD proposal in our team.
Best wishes,
Herv? Frezza-Buet
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From kripa.ghosh at gmail.com Tue May 15 05:47:01 2018
From: kripa.ghosh at gmail.com (Kripa Ghosh)
Date: Tue, 15 May 2018 15:17:01 +0530
Subject: Connectionists: CFP: CIKM 2018 Workshop on Legal Data Analytics and
Mining (LeDAM 2018)
Message-ID:
[apologies for cross-posting ]
CALL FOR PAPERS:
Workshop on Legal Data Analytics and Mining (LeDAM 2018)
In conjunction with ACM International Conference on Information and
Knowledge Management (CIKM) 2018
Turin, Italy | 22nd October 2018
Website : https://sites.google.com/site/legaldam2018/
Legal data mining is the subarea of data mining applied to legal texts,
such as legislation, case law, patents, and scholarly works. Legal data
mining systems are key to providing easier access to law for both common
persons and legal professionals. This area is becoming increasingly
important, because of the rapidly growing volume of legal cases and
documents available in digital formats. The broad goals of the LeDAM
workshop are:
- to promote research in legal data analytics by fostering collaboration
between the legal data mining practitioners and the data mining research
community at large,
- to improve awareness among the legal community about the state of the art
models, techniques and algorithms developed by the data mining community
that can potentially benefit the problems, and
- to identify new research opportunities in data mining that arise from
legal applications.
We invite academic and industrial/governmental researchers and legal
professionals to come together, present and discuss research results, use
cases, innovative ideas, challenges, and opportunities that arise from
applications of data mining in the legal domain.
=== Topics of interest ===
We are interested to receive paper submissions on all aspects of legal data
mining. Topics of interest include but are not limited to:
1. Applications of data mining, machine learning and natural language
processing techniques for the legal domain, for tasks such as summarization
of legal document, precedence retrieval, argument mining, legal text
classification, and so on
2. Answering natural language queries (primarily in layman language) with
legal information
3. Discovery of electronically stored information for legal applications
(eDiscovery)
4. Data mining and Information retrieval from patents, contracts, and other
types of legal documents
5. Legal knowledge representation, including legal ontologies, knowledge
graphs and common sense knowledge
6. Automated information extraction from legal databases and texts
7. Conceptual and model-based legal information retrieval
8. Applications of neural networks and deep learning techniques on legal
data
9. Modelling norms and legal reasoning for multi-agent systems
10. Modelling negotiation and contract formation
11. Online dispute resolution
12. Intelligent support systems for the legal domain
13. Formal and computational models of legal reasoning, including
argumentation, evidential reasoning, legal interpretation, and decision
making
=== Paper submissions ===
All papers must be submitted in PDF in ACM sigconf (
https://www.acm.org/publications/proceedings-template) format. All papers
must be written in English.
We will consider three types of papers:
- Full papers, describing completed works relevant to the theme (8-10
pages)
- Short papers, describing preliminary ideas or work (4-6 pages)
- Position/Vision papers, describing novel and practically important
problems (2 pages)
Submitted papers will be peer-reviewed, and the accepted papers will be
included in the workshop proceedings that will be published online on CEUR (
http://ceur-ws.org/).
At least one author of each accepted paper is required to register for the
workshop (as per rules of the conference) and present the paper at the
workshop.
=== Important dates ===
Paper submission deadline: July 10, 2018
Notification of acceptance: August 15, 2018
Camera ready deadline: August 27, 2018
Workshop: October 22, 2018
All times are 23:59 in Anywhere-on-Earth timezone.
=== Technical Program Committee ===
Adam Wyner, University of Aberdeen, Scotland UK
Charles K. Nicholas, University of Maryland Baltimore County, USA
David Lewis, David D. Lewis Consulting, USA
Girish Keshav Palshikar, TCS Research, India
Jack Conrad, Thompson Reuters, USA
Jeroen Keppens, King?s College London, UK
Karl Branting, MITRE Corporation, USA
Katie Atkinson, University of Liverpool, UK
Ken Satoh, National Institute of Informatics, Japan
Kevin Ashley, University of Pittsburg, USA
Matthias Grabmair, Carnegie Mellon University, USA
Maura Grossman, University of Waterloo, Canada
Mi-Young Kim, University of Alberta, Canada
Mossab Bagdouri, Walmart Labs, USA
Paulo Quaresma, Universidade de Evora, Portugal
Prasenjit Majumder, DAIICT, India
William Webber, William Webber Consulting, Australia
=== Organizing Committee ===
Arindam Pal, TCS Research and Innovation, India (
http://www.cse.iitd.ernet.in/~arindamp/)
Arnab Bhattacharya, Indian Institute of Technology Kanpur, India (
https://www.cse.iitk.ac.in/users/arnabb/)
Indrajit Bhattacharya, TCS Research and Innovation, India (
https://sites.google.com/site/indrajitb/)
Kripabandhu Ghosh, Indian Institute of Technology Kanpur, India (
https://www.cse.iitk.ac.in/users/kripa/)
Lipika Dey, TCS Research and Innovation, India (
http://sites.tcs.com/blogs/research-and-innovation/author/dr-lipika-dey)
Marie-Francine Moens, KU Leuven, Belgium (https://people.cs.kuleuven.be
/~sien.moens/)
Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India (
http://cse.iitkgp.ac.in/~sghosh/)
For details, see https://sites.google.com/site/legaldam2018/
Kind Regards,
*Kripabandhu Ghosh*
Co-organizer
LeDAM 2018 Workshop
CIKM 2018
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From scherbaum at informatik.uni-goettingen.de Tue May 15 09:37:29 2018
From: scherbaum at informatik.uni-goettingen.de (Carmen Scherbaum)
Date: Tue, 15 May 2018 15:37:29 +0200
Subject: Connectionists: Four professorships for Data Science (W3) and
Artificial Intelligence/Machine Learning (W3, W2 t.t. W3)
Message-ID: <820b267b-75cb-c299-50b8-07b69f3669e2@informatik.uni-goettingen.de>
We would like to announce the following 4 professorships at the
University of Goettingen (Germany):
*********************************************************************************************************************************
The Faculty of Mathematics and Computer Science at the
Georg-August-University of G?ttingen invites applications for the
position of four professorships at the Institute of Computer Science in
the context of the establishment of a
Campus Institute Data Science.
The newly established professors will participate in the development of
the Campus Institute Data Science (CIDAS). CIDAS will be a joint
institution of the members of the G?ttingen Campus including the
University, the University Medical Center, five Max-Planck-Institutes,
the Leibniz Institute for Primate Research, the Academy of Sciences and
the German Aerospace Center G?ttingen. The members of CIDAS will pursue
research at the convergence point of computer science, statistics,
mathematics and application areas and will combine method development in
the field of Data Science with cutting edge research in G?ttingen?s
research foci.
The future position holder shall have worked already successfully in
research networks. We especially expect candidates to be willing to
cooperate with colleagues in the Faculty of Mathematics and Computer
Science as well as from other Faculties and Campus institutions. The
candidates? research interests should ideally align with one or several
of G?ttingen University?s research foci
(https://www.uni-goettingen.de/en/505395.html).
The appointed professors will conduct their teaching in the study
programmes of the Faculty, in particular in the Bachelor?s programmes
?Applied Data Science? and ?Mathematical Data Science? and in the
Bachelor and Master programme ?Applied Computer Science?.
Conditions for appointment can be found in Section 25 of the Higher
Education Law of Lower Saxony. As a Public Law Foundation, the
University of G?ttingen has the right to appoint professors. Further
details can be obtained upon request.
Two positions of full professor (W3) for Data Science
The future position holder shall have expertise in computer science,
especially related to the field of Data Science method development in
one or several of the following areas: Computer Vision and Imaging, Data
Fusion / Data Merging, Data Management, Big Data, Graph and Network
Optimization and Modeling, Natural Language Processing. Candidates shall
have a track record of high level research in these fields, have high
potential for groundbreaking research in internationally visible
research projects along with profound experience in mentoring and
advising university students. G?ttingen University is committed to
research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w3_data_science_2018.nsf/application
Full professor (W3) for Artificial Intelligence / Machine Learning
The future position holder shall have expertise in artificial
intelligence, especially with a focus on machine learning or on
foundations of machine learning. The University of G?ttingen aims to
establish machine learning as research area by recruitments in its
fields of application as well as in theoretical foundations. Candidates
shall have a track record of high level research in artificial
intelligence, in particular machine learning, have high potential for
groundbreaking research in internationally visible research projects
along with profound experience in mentoring and advising university
students. G?ttingen University is committed to research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w3_machine_learning_2018.nsf/application
Associate Professor (Tenure Track) (W2 t.t. W3) for Artificial
Intelligence / Machine Learning
This professorship is funded by the German Federal and State governments
through the programme ?Bund-L?nder-Programm zur F?rderung des
wissenschaftlichen Nachwuchses (Nachwuchspakt)?. The initial appointment
will be limited to five years. The transition to the permanent position
of Full Professor (W3) takes effect following a successful evaluation.
Preferably, the candidate has expertise in artificial intelligence,
especially with a focus on machine learning or on foundations of machine
learning. The University of G?ttingen aims to establish machine learning
as research area by recruitments in its fields of application as well as
in theoretical foundations. The future position holder shall have a
track record of high level research in artificial intelligence, in
particular machine learning, have high potential for groundbreaking
research in internationally visible research projects along with
profound experience in mentoring and advising university students.
G?ttingen University is committed to research oriented teaching.
https://s-lotus.gwdg.de/uni/umin/w2_machine_learning_2018.nsf/application
Applications of international scientists are highly encouraged. The
University is an equal opportunity and family friendly employer. We
specifically encourage women to apply. Disabled persons with appropriate
qualifications and aptitude for the position will be given special
consideration.
For further information please contact Prof. Dr. Dieter Hogrefe,
Institute of Computer Science, hogrefe at informatik.uni-goettingen.de.
Applications including CV, publications list and details of teaching and
research experience including funded research projects should be
submitted by June 15th, 2018, online via the application portals stated
above.
******************************************************************************************************************
Kind regards,
Carmen Scherbaum
--
Carmen Scherbaum de Huam?n
Georg-August-Universit?t G?ttingen
Institut f?r Informatik
Lehrstuhl f?r Telematik (Prof. Hogrefe)
Goldschmidtstr. 7 (Raum 1.109)
37077 G?ttingen, Germany
Tel. +49 551 39-172000
Fax +49 551 39-14403
http://www.ifi.informatik.uni-goettingen.de
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From hakwan at gmail.com Tue May 15 19:38:40 2018
From: hakwan at gmail.com (Hakwan Lau)
Date: Tue, 15 May 2018 16:38:40 -0700
Subject: Connectionists: postdoc @ UCLA: consciousness, AI, blockchain tech
Message-ID:
in collaboration with the industry (a startup company based in the Bay
Area), we are looking for a postdoc to follow up on this
. the
ideal candidate may be someone with a computer science background,
passionate for understanding neuroscience and human consciousness.
familiarity with / interest in neural network modelling and/or blockchain
tech a plus. the job will be primarily based at UCLA with frequent
opportunities to travel to San Francisco & Hong Kong (not an obligation).
please send CV to hakwan at gmail.com
Hakwan Lau, D.Phil
[my work & blog
]
*This email may contain material that is confidential or privileged for the
sole use of the intended recipient. Any review, reliance or distribution by
others or forwarding without expressed permission is strictly prohibited.
If you are not the intended recipient, please contact the sender and delete
all copies.*
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From hakwan at gmail.com Tue May 15 20:00:35 2018
From: hakwan at gmail.com (Hakwan Lau)
Date: Tue, 15 May 2018 17:00:35 -0700
Subject: Connectionists: postdoc @ UCLA: consciousness, AI,
blockchain tech
In-Reply-To:
References:
Message-ID:
ps - if it is not too late (sorry), this ad may be better (with link to our
collaborator)
in collaboration with our partner in the industry
, we are looking for a postdoc to
follow up on this
. the
ideal candidate may be someone with a computational background, passionate
for understanding neuroscience and human consciousness. familiarity with /
interest in neural network modelling and/or blockchain-related tech a plus.
the job will be primarily based at UCLA with frequent opportunities to
travel to San Francisco & Hong Kong (not an obligation). please send CV to
hakwan at gmail.com
Hakwan Lau, D.Phil
[my work & blog
]
*This email may contain material that is confidential or privileged for the
sole use of the intended recipient. Any review, reliance or distribution by
others or forwarding without expressed permission is strictly prohibited.
If you are not the intended recipient, please contact the sender and delete
all copies.*
On Tue, May 15, 2018 at 4:38 PM, Hakwan Lau wrote:
> in collaboration with the industry (a startup company based in the Bay
> Area), we are looking for a postdoc to follow up on this
> .
> the ideal candidate may be someone with a computer science background,
> passionate for understanding neuroscience and human consciousness.
> familiarity with / interest in neural network modelling and/or blockchain
> tech a plus. the job will be primarily based at UCLA with frequent
> opportunities to travel to San Francisco & Hong Kong (not an obligation).
> please send CV to hakwan at gmail.com
>
> Hakwan Lau, D.Phil
> [my work & blog
> ]
>
> *This email may contain material that is confidential or privileged for
> the sole use of the intended recipient. Any review, reliance or
> distribution by others or forwarding without expressed permission is
> strictly prohibited. If you are not the intended recipient, please contact
> the sender and delete all copies.*
>
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From joseph.lizier at sydney.edu.au Tue May 15 20:54:11 2018
From: joseph.lizier at sydney.edu.au (Joseph Lizier)
Date: Wed, 16 May 2018 10:54:11 +1000
Subject: Connectionists: Information theory workshop at CNS*2018 -- call for
contributed talks
Message-ID: <1526432051.17025.15.camel@scooby>
Dear all,
We are pleased to announce that the Workshop on Methods of Information
Theory in Computational Neuroscience will be held once again at
CNS*2018, Seattle, USA.
The workshop will be held over the final two days of the main
conference, July 17 and 18.
Our confirmed invited speakers include the following (schedule available
soon):
* Braden Brinkman, Stony Brook University -- "Signal-to-noise
ratio competes with neural bandwidth to shape efficient coding
strategies"
* Mireille Conrad, University of Geneva -- "Mutual information vs.
transfer entropy in spike-based neuroscience"
* Benjamin Cramer, University of Heidelberg -- "Information theory
reveals a diverse range of states induced by spike timing based
learning in neural networks"
* Alex Dimitrov, Washington State University Vancouver --
"Modeling of perceptual invariances in biological sensory
processing"
* Eva Dyer, Georgia Tech -- "Finding low-dimensional structure in
large-scale neural recordings"
* Justin Gardner, Stanford University -- "Optimality and
heuristics for human perceptual inference"
* Jim Kay, University of Glasgow -- "Partial Information
Decompositions based on Dependency Constraints"
* Joseph T. Lizier, The University of Sydney -- "Pointwise Partial
Information Decomposition Using the Specificity and Ambiguity
Lattices"
* Leonardo Novelli, The University of Sydney -- "Validation and
performance of effective network inference using multivariate
transfer entropy with IDTxl"
* Tatyana Sharpee, Salk Institute for Biological Studies -- TBA
* Nicholas M. Timme, Indiana University - Purdue University
Indianapolis -- "From neural cultures to rodent models of
disease: examples of information theory analyses of effective
connectivity, computation, and encoding"
* Taro Toyoizumi, RIKEN Brain Science Institute -- "Emergence of
Levy Walks from Second-Order Stochastic Optimization"
* Siwei Wang, Hebrew University of Jerusalem -- "Closing the gap
from structure to function with information theoretic design
principles"
* Patricia Wollstadt, Goethe University, Frankfurt / Honda
Research Institute Europe "Validation and performance of
effective network inference using multivariate transfer entropy
with IDTxl"
Also, we would like to call for contributions of talks (25 min + 5 min
Q&A). If you are interested in contributing such a talk, please send a
title and abstract to Joseph Lizier (joseph.lizier at sydney.edu.au) by
Friday June 8, 2018.
Please see our website http://bit.ly/cns2018itw for more details.
We hope you will join us there!
Organising Committee:
Joseph Lizier
Viola Priesemann
Justin Dauwels
Taro Toyoizumi
Alexander Dimitrov
Lubomir Kostal
Michael Wibral
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From a.gruning at surrey.ac.uk Wed May 16 04:48:58 2018
From: a.gruning at surrey.ac.uk (a.gruning at surrey.ac.uk)
Date: Wed, 16 May 2018 08:48:58 +0000
Subject: Connectionists: Neuroplasticity Workshop: From Bench to Machine
Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London
In-Reply-To:
References:
Message-ID:
Dear colleagues,
Full information at .
Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018
The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration.
On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called ?third factors? (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of ?deep networks? in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability.
The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations.
CONFIRMED SPEAKERS
Katharina Wilmes, Imperial College London, UK
Matthew Larkum, Humboldt-Universit?t zu Berlin, Germany
Cyril Hanus, INSERM U894, France
Brendon Watson, University of Michigan, USA
Keith Hengen, Washington University, USA
Giorgos Kastellakis, IMBB-FORTH, Crete
Friedemann Zenke, University of Oxford
Connor Houghton, University of Bristol
Liam McDaid, Ulster University
David Lester, SpiNNaker, University of Manchester
Tiina Maninen, Technical University of Turku
From asier.erramuzpe at gmail.com Wed May 16 06:06:31 2018
From: asier.erramuzpe at gmail.com (Asier Erramuzpe Aliaga)
Date: Wed, 16 May 2018 12:06:31 +0200
Subject: Connectionists: Lecturer and Senior Lecturer Positions at QMUL
Message-ID:
[On behalf of Simon Lucas ]
Dear all,
Please see the following (equivalent to Assistant / Associate Professor)
Lecturer/Senior Lecturer (Teaching & Research) in Applied Data Science, AI
and/or Machine Learning:
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3315
Lecturer/Senior Lecturer (Teaching & Research) in Information Technology
Management:
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3314
Best wishes,
Simon
--
Simon Lucas
Professor of Artificial Intelligence
Head of School
Electronic Engineering and Computer Science
Queen Mary University of London
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From giacomo.aldegheri at gmail.com Wed May 16 12:19:48 2018
From: giacomo.aldegheri at gmail.com (Giacomo Aldegheri)
Date: Wed, 16 May 2018 18:19:48 +0200
Subject: Connectionists: Postdoc in visual cognitive neuroscience at the
Donders Institute, The Netherlands
In-Reply-To:
References:
Message-ID: <98BD32EF-99AA-4B8A-B1FD-2619460CF2D3@gmail.com>
An ERC-funded postdoctoral position (2+2 years) is available in the
group of Marius Peelen at the Donders Institute (Nijmegen, The
Netherlands).
In this project, we will use fMRI and advanced analysis methods (e.g.,
hyperalignment) to study the representation of objects and scenes in
the visual cortex, and characterise how attention and expectation
influence these representations.
The Donders Institute for Brain, Cognition and Behaviour focuses on
state-of-the-art cognitive neuroscience, using a multidisciplinary
approach, and offers excellent lab and neuroimaging facilities,
courses, and technical support.
Preference will be given to candidates with a PhD in cognitive
neuroscience or a related field, who have a strong motivation to
pursue a scientific career. Experience with fMRI and scientific
programming (e.g. MATLAB, Python) is required. A background in vision
and/or attention research is desirable.
For informal inquiries, please email m.peelen at donders.ru.nl
For more information about our work, see:
https://sites.google.com/site/peelenlab
To apply, please visit:
http://www.ru.nl/werken/details/details_vacature_0/?recid=601361
Marius will be at VSS to meet interested candidates.
> On May 16, 2018, at 6:02 PM, connectionists-request at mailman.srv.cs.cmu.edu wrote:
>
> Send Connectionists mailing list submissions to
> connectionists at mailman.srv.cs.cmu.edu
>
> To subscribe or unsubscribe via the World Wide Web, visit
> https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists
> or, via email, send a message with subject or body 'help' to
> connectionists-request at mailman.srv.cs.cmu.edu
>
> You can reach the person managing the list at
> connectionists-owner at mailman.srv.cs.cmu.edu
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Connectionists digest..."
>
>
> Today's Topics:
>
> 1. postdoc @ UCLA: consciousness, AI, blockchain tech (Hakwan Lau)
> 2. Re: postdoc @ UCLA: consciousness, AI, blockchain tech
> (Hakwan Lau)
> 3. Information theory workshop at CNS*2018 -- call for
> contributed talks (Joseph Lizier)
> 4. Neuroplasticity Workshop: From Bench to Machine Learning 13
> July 2018 - 14 July 2018 -- University of Surrey near London
> (a.gruning at surrey.ac.uk)
> 5. Lecturer and Senior Lecturer Positions at QMUL
> (Asier Erramuzpe Aliaga)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 15 May 2018 16:38:40 -0700
> From: Hakwan Lau
> To: connectionists at mailman.srv.cs.cmu.edu
> Subject: Connectionists: postdoc @ UCLA: consciousness, AI, blockchain
> tech
> Message-ID:
>
> Content-Type: text/plain; charset="utf-8"
>
> in collaboration with the industry (a startup company based in the Bay
> Area), we are looking for a postdoc to follow up on this
> . the
> ideal candidate may be someone with a computer science background,
> passionate for understanding neuroscience and human consciousness.
> familiarity with / interest in neural network modelling and/or blockchain
> tech a plus. the job will be primarily based at UCLA with frequent
> opportunities to travel to San Francisco & Hong Kong (not an obligation).
> please send CV to hakwan at gmail.com
>
> Hakwan Lau, D.Phil
> [my work & blog
> ]
>
> *This email may contain material that is confidential or privileged for the
> sole use of the intended recipient. Any review, reliance or distribution by
> others or forwarding without expressed permission is strictly prohibited.
> If you are not the intended recipient, please contact the sender and delete
> all copies.*
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> ------------------------------
>
> Message: 2
> Date: Tue, 15 May 2018 17:00:35 -0700
> From: Hakwan Lau
> To: connectionists at mailman.srv.cs.cmu.edu
> Subject: Re: Connectionists: postdoc @ UCLA: consciousness, AI,
> blockchain tech
> Message-ID:
>
> Content-Type: text/plain; charset="utf-8"
>
> ps - if it is not too late (sorry), this ad may be better (with link to our
> collaborator)
>
> in collaboration with our partner in the industry
> , we are looking for a postdoc to
> follow up on this
> . the
> ideal candidate may be someone with a computational background, passionate
> for understanding neuroscience and human consciousness. familiarity with /
> interest in neural network modelling and/or blockchain-related tech a plus.
> the job will be primarily based at UCLA with frequent opportunities to
> travel to San Francisco & Hong Kong (not an obligation). please send CV to
> hakwan at gmail.com
>
>
> Hakwan Lau, D.Phil
> [my work & blog
> ]
>
> *This email may contain material that is confidential or privileged for the
> sole use of the intended recipient. Any review, reliance or distribution by
> others or forwarding without expressed permission is strictly prohibited.
> If you are not the intended recipient, please contact the sender and delete
> all copies.*
>
> On Tue, May 15, 2018 at 4:38 PM, Hakwan Lau wrote:
>
>> in collaboration with the industry (a startup company based in the Bay
>> Area), we are looking for a postdoc to follow up on this
>> .
>> the ideal candidate may be someone with a computer science background,
>> passionate for understanding neuroscience and human consciousness.
>> familiarity with / interest in neural network modelling and/or blockchain
>> tech a plus. the job will be primarily based at UCLA with frequent
>> opportunities to travel to San Francisco & Hong Kong (not an obligation).
>> please send CV to hakwan at gmail.com
>>
>> Hakwan Lau, D.Phil
>> [my work & blog
>> ]
>>
>> *This email may contain material that is confidential or privileged for
>> the sole use of the intended recipient. Any review, reliance or
>> distribution by others or forwarding without expressed permission is
>> strictly prohibited. If you are not the intended recipient, please contact
>> the sender and delete all copies.*
>>
> -------------- next part --------------
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> ------------------------------
>
> Message: 3
> Date: Wed, 16 May 2018 10:54:11 +1000
> From: Joseph Lizier
> To: comp-neuro at neuroinformatics.be, connectionists at cs.cmu.edu
> Subject: Connectionists: Information theory workshop at CNS*2018 --
> call for contributed talks
> Message-ID: <1526432051.17025.15.camel at scooby>
> Content-Type: text/plain; charset="utf-8"
>
> Dear all,
>
> We are pleased to announce that the Workshop on Methods of Information
> Theory in Computational Neuroscience will be held once again at
> CNS*2018, Seattle, USA.
> The workshop will be held over the final two days of the main
> conference, July 17 and 18.
>
> Our confirmed invited speakers include the following (schedule available
> soon):
>
> * Braden Brinkman, Stony Brook University -- "Signal-to-noise
> ratio competes with neural bandwidth to shape efficient coding
> strategies"
> * Mireille Conrad, University of Geneva -- "Mutual information vs.
> transfer entropy in spike-based neuroscience"
> * Benjamin Cramer, University of Heidelberg -- "Information theory
> reveals a diverse range of states induced by spike timing based
> learning in neural networks"
> * Alex Dimitrov, Washington State University Vancouver --
> "Modeling of perceptual invariances in biological sensory
> processing"
> * Eva Dyer, Georgia Tech -- "Finding low-dimensional structure in
> large-scale neural recordings"
> * Justin Gardner, Stanford University -- "Optimality and
> heuristics for human perceptual inference"
> * Jim Kay, University of Glasgow -- "Partial Information
> Decompositions based on Dependency Constraints"
> * Joseph T. Lizier, The University of Sydney -- "Pointwise Partial
> Information Decomposition Using the Specificity and Ambiguity
> Lattices"
> * Leonardo Novelli, The University of Sydney -- "Validation and
> performance of effective network inference using multivariate
> transfer entropy with IDTxl"
> * Tatyana Sharpee, Salk Institute for Biological Studies -- TBA
> * Nicholas M. Timme, Indiana University - Purdue University
> Indianapolis -- "From neural cultures to rodent models of
> disease: examples of information theory analyses of effective
> connectivity, computation, and encoding"
> * Taro Toyoizumi, RIKEN Brain Science Institute -- "Emergence of
> Levy Walks from Second-Order Stochastic Optimization"
> * Siwei Wang, Hebrew University of Jerusalem -- "Closing the gap
> from structure to function with information theoretic design
> principles"
> * Patricia Wollstadt, Goethe University, Frankfurt / Honda
> Research Institute Europe "Validation and performance of
> effective network inference using multivariate transfer entropy
> with IDTxl"
>
>
> Also, we would like to call for contributions of talks (25 min + 5 min
> Q&A). If you are interested in contributing such a talk, please send a
> title and abstract to Joseph Lizier (joseph.lizier at sydney.edu.au) by
> Friday June 8, 2018.
>
> Please see our website http://bit.ly/cns2018itw for more details.
>
> We hope you will join us there!
>
> Organising Committee:
> Joseph Lizier
> Viola Priesemann
> Justin Dauwels
> Taro Toyoizumi
> Alexander Dimitrov
> Lubomir Kostal
> Michael Wibral
>
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> ------------------------------
>
> Message: 4
> Date: Wed, 16 May 2018 08:48:58 +0000
> From:
> To:
> Subject: Connectionists: Neuroplasticity Workshop: From Bench to
> Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey
> near London
> Message-ID:
>
>
> Content-Type: text/plain; charset="Windows-1252"
>
> Dear colleagues,
>
> Full information at .
>
> Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018
>
> The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration.
>
> On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called ?third factors? (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of ?deep networks? in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability.
>
> The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations.
>
>
> CONFIRMED SPEAKERS
>
> Katharina Wilmes, Imperial College London, UK
> Matthew Larkum, Humboldt-Universit?t zu Berlin, Germany
> Cyril Hanus, INSERM U894, France
> Brendon Watson, University of Michigan, USA
> Keith Hengen, Washington University, USA
> Giorgos Kastellakis, IMBB-FORTH, Crete
> Friedemann Zenke, University of Oxford
> Connor Houghton, University of Bristol
> Liam McDaid, Ulster University
> David Lester, SpiNNaker, University of Manchester
> Tiina Maninen, Technical University of Turku
>
>
> ------------------------------
>
> Message: 5
> Date: Wed, 16 May 2018 12:06:31 +0200
> From: Asier Erramuzpe Aliaga
> To: connectionists at mailman.srv.cs.cmu.edu
> Subject: Connectionists: Lecturer and Senior Lecturer Positions at
> QMUL
> Message-ID:
>
> Content-Type: text/plain; charset="utf-8"
>
> [On behalf of Simon Lucas ]
>
> Dear all,
>
> Please see the following (equivalent to Assistant / Associate Professor)
>
> Lecturer/Senior Lecturer (Teaching & Research) in Applied Data Science, AI
> and/or Machine Learning:
>
> https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3315
>
> Lecturer/Senior Lecturer (Teaching & Research) in Information Technology
> Management:
>
> https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3314
>
>
> Best wishes,
> Simon
> --
> Simon Lucas
> Professor of Artificial Intelligence
> Head of School
> Electronic Engineering and Computer Science
> Queen Mary University of London
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> ------------------------------
>
> Subject: Digest Footer
>
> _______________________________________________
> Connectionists mailing list
> Connectionists at mailman.srv.cs.cmu.edu
> https://mailman.srv.cs.cmu.edu/mailman/listinfo/connectionists
>
> ------------------------------
>
> End of Connectionists Digest, Vol 582, Issue 3
> **********************************************
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From m.plumbley at surrey.ac.uk Wed May 16 12:28:19 2018
From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk)
Date: Wed, 16 May 2018 16:28:19 +0000
Subject: Connectionists: LVA/ICA 2018: Call for Late-Breaking Posters &
Demos: Deadline 23 May
Message-ID:
Dear Connectionists,
We are pleased to invite you to submit an extended abstract to support a
late-breaking poster presentation or demonstration at LVA/ICA 2018, the
14th International Conference on Latent Variable Analysis and Signal
Separation, Guildford, UK, 2-6 July 2018.
Late-breaking posters/demonstrations are a new feature of LVA/ICA 2018.
Extended abstracts may provide an overview of prototype systems, initial
concepts, and early results that may be of interest to the latent
variable analysis and signal separation community.
If you would like to present your work as a poster or give a demo at the
conference, please submit an extended abstract as a PDF (2 pages
maximum) directly to lva.ica.2018 at gmail.com by 23 May for a rapid
peer-review.
Accepted abstracts will be not be included in the LVA/ICA 2018
proceedings, but will be made freely available via the conference
website.
For further details, including submission templates, see:
http://cvssp.org/events/lva-ica-2018/late_breaking/
Best wishes,
Mark Plumbley
Co-Chair, LVA/ICA 2018
--
Prof Mark D Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey, Guildford, Surrey, GU2 7XH, UK
Email: m.plumbley at surrey.ac.uk
================================================================================
LVA/ICA 2018
14th International Conference on Latent Variable Analysis and Signal Separation
July 2-6, 2018, University of Surrey, Guildford, UK
http://cvssp.org/events/lva-ica-2018
================================================================================
From elizabeth.wiesman at wright.edu Wed May 16 12:57:30 2018
From: elizabeth.wiesman at wright.edu (Wiesman, Liz)
Date: Wed, 16 May 2018 16:57:30 +0000
Subject: Connectionists: CORRECTION Listserv Posting request
Message-ID:
Apologies, there was a date type-o my content. Please post using this language:
************************************************************************************
SUBJECT: Postdoc Cognitive Neuroscientist Position
Dear Colleagues,
A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory.
The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required.
Note that candidates must be US citizens.
For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869
Further inquiries can be made directly to: elizabeth.wiesman at wright.edu
Elizabeth Wiesman
Business Administration Director
Wright State Research Institute
4035 Colonel Glenn Highway
Beavercreek, OH 45431
PH: 937.705.1006
SECURE FAX: 937.705.1302
EMAIL: elizabeth.wiesman at wright.edu
From: Wiesman, Liz
Sent: Wednesday, May 16, 2018 12:52 PM
To: connectionists at mailman.srv.cs.cmu.edu
Cc: Wiesman, Liz ; Kriel, Olivia Mckenzie
Subject: Listserv Posting request
Please post this announcement to your listserv:
*****************************************************************
SUBJECT: Postdoc Cognitive Neuroscientist Position
Dear Colleagues,
A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory.
The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required.
Note that candidates must be US citizens.
We anticipate a start date of 1 April 2018, but are flexible in this regard.
For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869
Further inquiries can be made directly to: elizabeth.wiesman at wright.edu
Elizabeth Wiesman
Business Administration Director
Wright State Research Institute
4035 Colonel Glenn Highway
Beavercreek, OH 45431
PH: 937.705.1006
SECURE FAX: 937.705.1302
EMAIL: elizabeth.wiesman at wright.edu
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From carlo.colombo at unifi.it Thu May 17 13:28:37 2018
From: carlo.colombo at unifi.it (Carlo Colombo)
Date: Thu, 17 May 2018 19:28:37 +0200
Subject: Connectionists: CFP 3DV 2018 - 6th Int'l Conf. on 3D Vision -
Verona (Italy) - DEADLINE 25 MAY 2018
Message-ID: <778a5115-7ae2-7120-a12e-a7591ad7ecee@unifi.it>
***************************************************
??? 3DV 2018 CALL FOR PAPERS/DEMOS/TUTORIALS
??????? Apologies for multiple posting
?Please distribute this call to interested parties
***************************************************
??????????????? ---------------
??????????????? CALL FOR PAPERS
??????????????? ---------------
6th International Conference on 3D Vision (3DV 2018)
??????? Verona, Italy, September 5-8, 2018
?????????? >>>>>>> www.3dv.org <<<<<<<
****************************************
?????????? Important Dates
****************************************
Paper submission deadline:? May 25, 2018
Acceptance notification:?? July 17, 2018
Camera ready paper:??????? July 30, 2018
Conference:????????? September 5-8, 2018
----------------
Keynote speakers
----------------
Michael Bronstein - Universita' della Svizzera Italiana
Venu Madhav Govindu - Indian Institute of Science
Marc Pollefeys - ETH Zurich
The 6th international conference on 3D Vision will be held in Verona, Italy,
September 5-8, 2018. Since 2013, under the name 3DV, this event has provided
a premier platform for disseminating research results covering a broad
variety of topics in the area of 3D research in computer vision and
graphics,
from novel optical sensors, signal processing, geometric modelling,
representation and transmission, to visualisation and interaction, and a
variety of applications.
3DV 2018 will showcase high quality single-track oral and poster
presentations,
and demonstration sessions. It will also feature industrial exhibitions
held in conjunction with the main conference. Proposals for Tutorials and
Demos are also invited. Accepted papers will be published in the IEEE
Conference
Publishing Services (CPS) and submitted to IEEE Xplore and CSDL.
------------------
Topics of interest
------------------
ACQUISITION??????????????????????????????? ANALYSIS
- Geometry???????????????????????????????? - Shape recognition
- Calibration????????????????????????????? - Shape retrieval
- Photometric stereo and Shape from X????? - Shape analysis
- Photogrammetry?????????????????????????? - Segmentation
- Structure from motion and SLAM?????????? - Motion and tracking
- Dense reconstruction and stereo????????? - Body, face and gesture
- Structured light and TOF sensors
- Computational photography??????????????? RENDERING AND INTERACTION
?????????????????????????????????????????? - Image-based rendering
MODELLING????????????????????????????????? - Applied perception
- Shape modelling and editing????????????? - Augmented and mixed reality
- Geometry processing????????????????????? - Human-computer interaction
- Appearance modelling
- Registration???????????????????????????? APPLICATIONS
- Shape description and features?????????? - Medical
- Morphable models???????????????????????? - Robotics
?????????????????????????????????????????? - Cultural heritage
?????????????????????????????????????????? - Industrial
?????????????????????????????????????????? - Entertainment
?????????????????????????????????????????? - Digital fabrication
----------
Organizers
----------
General Chair
Andrea Fusiello - University of Udine
Program Chairs
Umberto Castellani - University of Verona
Tomas Pajdla - Czech Technical University in Prague
Yoichi Sato - University of Tokyo
Alla Sheffer - University of British Columbia
--------------
Call for demos
--------------
3DV 2018 solicits submission of demos concerning methods, systems and
applications
in the broad area of 3D Computer Vision. Inquiries on the demo
submission process
may be sent to 3dv18demos at 3dv.org. Further information can be found at
www.3dv.org.
Demo submission deadline:? June 30th, 2018
Acceptance notification:?? July 31st, 2018
------------------
Call for tutorials
------------------
3DV 2018 will host tutorials on topics related to 3D research in
Computer Vision.
Inquiries on the tutorial submission process may be sent to
3dv18tutorials at 3dv.org.
Further information can be found at www.3dv.org.
Tutorial submission deadline: June 15th, 2018
Acceptance notification:????? July 1st, 2018
>>>>>>> For more information please visit www.3dv.org <<<<
--
from: Prof. Carlo Colombo - Publicity Chair, 3DV 2018
Computational Vision Group @ University of Florence, Italy
---
Questa e-mail ? stata controllata per individuare virus con Avast antivirus.
https://www.avast.com/antivirus
From trygve.solstad at ntnu.no Thu May 17 16:42:00 2018
From: trygve.solstad at ntnu.no (Trygve Solstad)
Date: Thu, 17 May 2018 20:42:00 +0000
Subject: Connectionists: Postdoc and PhD positions in Mathematical Cognition
at NTNU, Norway
Message-ID: <1526589701111.89187@ntnu.no>
We invite applications for one Postdoc and one PhD position in the group for Mathematical Cognition at the Norwegian University of Science and Technology (NTNU).
The group works to advance theories of mathematical cognition by combining empirical and computational research in the intersection of mathematics education, cognitive sciences, and artificial intelligence.
The positions are part of the project ?Mathematical reasoning with cognitive technology? with the aim to develop computational models of mathematical reasoning and problem solving. Relevant methods include neural networks, reinforcement learning, probabilistic programming, etc.
The project is a collaboration between researchers from NTNU, Stanford University, Rutgers University, and the Education Development Center.
Application deadline: June 1, 2018
Full position postings with application details can be found here:
PhD position:
https://www.jobbnorge.no/en/available-jobs/job/152899/phd-position-in-mathematical-cognition
Postdoc position:
https://www.jobbnorge.no/en/available-jobs/job/152895/postdoctoral-fellow-in-mathematical-cognition-su-190
For more information about the positions, please contact trygve.solstad at ntnu.no
Best regards,
Trygve Solstad
From serge.thill at his.se Fri May 18 07:46:04 2018
From: serge.thill at his.se (Serge Thill)
Date: Fri, 18 May 2018 11:46:04 +0000
Subject: Connectionists: Positions as Lecturer/Associate Professor in
Robotics at University of Plymouth
References:
Message-ID:
[Apologies for cross-posting]
The position below may be of interest to this community. In addition, note that we also have an open position in computer science (see http://www.jobs.ac.uk/job/BJB737/lecturer-associate-professor-in-computer-science/ )
Best wishes,
Serge
The University of Plymouth is seeking to fill two positions as Lecturer/Associate Professor in Robotics.
General Description
The School offers a wide range of degree programmes related to Technology in the areas of Robotics, Electrical & Electronic Engineering, Computer Science and Mathematics. We provide a stimulating teaching and research environment with strong connections to business and industry and offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development. Four current active areas of research in Plymouth are the design and construction of agricultural robots for fruit and vegetable harvesting; the study of human-robot interaction and collaboration; the computational modelling and development of manipulation systems based on experimental investigations of human motor control and the design and development of robotic applications for Urban Search & Rescue and Nuclear Decommissioning.
We have vacancies for enthusiastic, innovative and dynamic individuals to join our vibrant School to support Robotics and Machine Learning, especially as applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) aspects of robotics systems such as sensors and actuators, kinematics and dynamics, autonomous mobile platforms and deep learning for control and recognition.
Required qualifications
Applications are invited from academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Robotic Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science) together with an international profile and reputation for research excellence.
We offer
* Salary: from ?33,518 to ?56,950 (Grade 7/8/9) depending on the candidate's qualification and the level of experience
* Contract Type: full-time, working 37 hours per week on a permanent basis
Duties and responsibilities
As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as contributing to teaching on the undergraduate and postgraduate Robotics programmes, as well as other courses within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality hands-on engineers and you should be able to support practical hardware and software projects.
How to apply
Candidates can apply online by visiting the application link below: http://www.jobs.ac.uk/job/BJS594/lecturer-associate-professor-in-robotics/
Contact for informal discussion:
For informal queries, do not hesitate to contact Dr Ian Howard (ian.howard at plymouth.ac.uk).
Further information about the school and its courses is available at: www.plymouth.ac.uk/compmath, with details of our research centre available at: www.plymouth.ac.uk/research/crns
Closing date: 12 midnight, Thursday 31 May 2018.
University of Plymouth is committed to an inclusive culture and respecting diversity and welcomes applications from all sections of the community and is a Stonewall diversity champion.
The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s careers in STEMM academia.
University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016.
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From Pavis at iit.it Fri May 18 09:34:39 2018
From: Pavis at iit.it (Pavis)
Date: Fri, 18 May 2018 13:34:39 +0000
Subject: Connectionists: One Postdoc position in PAVIS on automatic visual
inspection - [ Postdoc ] 74472
In-Reply-To:
References: ,
Message-ID: <7464dc88f71744308c4034f6dbff9b2b@iit.it>
One Postdoc position in PAVIS on automatic visual inspection - [ Postdoc ] 74472
Workplace: Genova, IIT, Italy
Added on: 16/05/2018 - Expires on 16/06/2018
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified researcher with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.).
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing ad hoc solutions to scientists in Neuroscience, Nanophysics, and other IIT departments/centers.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects. This implies the development of novel algorithms for object detection, classification and quality control that discriminate explicitly the photometric attributes of each object part. In particular, this new inspection problem will require the study of different types of features as the one extracted in deep learning frameworks. This project will be carried out in collaboration with a major industrial partner.
Candidates to this position must have a PhD in computer vision, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory.
Experience of the involvement (e.g., management, preparation or actual work) in funded research or industrial proposals (EU, US, national), and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise.
Salary will be commensurate to qualification and experience and in line with international standards.
Workplace is Genova, Italy.
Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS- BC 74472 as reference number.
Please send your application, including a CV listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees to pavis at iit.it quoting PAVIS- BC 74472 as reference number.
This call will remain open and applications will be reviewed until the position is filled, but please apply by June 16, 2018.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies.
In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
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From elizabeth.wiesman at wright.edu Fri May 18 11:21:36 2018
From: elizabeth.wiesman at wright.edu (Wiesman, Liz)
Date: Fri, 18 May 2018 15:21:36 +0000
Subject: Connectionists: Resending with Subject Linke Listserv Posting
request
Message-ID:
Please post this announcement to your listserv:
*****************************************************************
SUBJECT: Position Opening for Cognitive Neuroscientist
Dear Colleagues,
A fully funded research position is available at the Wright State Research Institute of Wright State University, Dayton Ohio. The Cognitive Neuroscientist will join a team conducting research involving high-level cognition, including executive functions such as attention control, working memory and cognitive inhibition, as well as related cognitive functions such as decision making and learning & memory.
The ideal candidate possesses a PhD in Neuroscience, Cognitive Science, or related discipline, and a minimum of 2 year's research experience. Experience with one or more non-invasive neuroimaging modalities, in particular EEG and/or fMRI, is preferred. Familiarity with non-invasive neurostimulation techniques is also a plus but is not required.
Note that candidates must be US citizens.
For more details about the position, or to submit a formal application to Wright State University's HR website, see the following link: https://jobs.wright.edu/postings/12869
Further inquiries can be made directly to: elizabeth.wiesman at wright.edu
Elizabeth Wiesman
Business Administration Director
Wright State Research Institute
4035 Colonel Glenn Highway
Beavercreek, OH 45431
PH: 937.705.1006
SECURE FAX: 937.705.1302
EMAIL: elizabeth.wiesman at wright.edu
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From pierre-yves.oudeyer at inria.fr Fri May 18 16:29:27 2018
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Fri, 18 May 2018 22:29:27 +0200
Subject: Connectionists: [job] PhD position opening in Machine Learning for
Adaptive Language interaction with an intelligent dialog companion.
Message-ID: <19A91BDB-78C4-40CC-ACCC-E811FA89E18B@inria.fr>
*Title: Machine Learning for Adaptive Language interaction with an intelligent dialog companion
*Keywords: Deep reinforcement learning, interactive machine learning, natural language processing, neural networks, intelligent dialog companion
*Context: The thesis takes place in the context of a collaboration between the Robot Cognition Laboratory (INSERM/CNRS), the innovation services department of Intrinsic Cloud Temple, and the Flowers laboratory (Inria).
*Background: Based on RCL experience in human-robot cooperation and learning, we have developed an intelligent agent that accompanies humans in their experience using web-based tools, learns from explicit demonstration, and allows the user to re-use and recompose learned plans to form more complex structured plans.
*Project: For the moment, the system learns from demonstration. The project will extend and study algorithms for interactive machine learning (using Deep RL) to include language instructions as one of the ways that the system can learn, that is, by using the invariant structure of the human verbal description to organize procedural representations. This will advance the state of the art in the integration of language into reinforcement learning systems.
* Location: Lyon and Nanterre, France (Inserm and Cloud Temple)
* Response modalities: Send (1) a letter of motivation stating your interest in the project, (2) a CV, and (3) two letters of recommendation to the three addresses for Jean-Michel Dussoux, Peter Ford Dominey, and Pierre-Yves Oudeyer listed in the call, with the subject [Intelligent Assistant PhD].
jmd at intrinsec.com; pierre-yves.oudeyer at inria.fr; peter.dominey at inserm.fr
More details: https://www.dropbox.com/s/g5ksylrrlgatkf2/RCL-CT-THESE-interaction-manager-finalV2.pdf?dl=0
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From francois.fleuret at idiap.ch Sat May 19 07:15:40 2018
From: francois.fleuret at idiap.ch (Francois Fleuret)
Date: Sat, 19 May 2018 13:15:40 +0200
Subject: Connectionists: Two PhD positions in Deep Learning (Idiap/EPFL,
Switzerland)
Message-ID: <23296.1884.203452.347868@swan.fleuret.org>
Dear all,
Please find below an announce for an open PhD position at the Idiap
Research Institute in Switzerland.
Best,
--
Francois Fleuret http://www.idiap.ch/~fleuret/
======================================================================
Two PhD positions in Deep Learning at the Idiap Research Institute,
Switzerland[1], starting as early as possible but can be delayed if
necessary.
** Please apply on-line at http://www.idiap.ch/~fleuret/apply **
The Machine Learning group at the Idiap Research Institute[2],
affiliated with ?cole Polytechnique F?d?rale de Lausanne[3], seeks two
PhD students in deep learning and computer vision to work on real-time
inference in low-computation environment and transfer learning for
semantic segmentation.
The candidates will be doctoral students at EPFL[4,5], working under
the supervision of Dr. Fran?ois Fleuret[6] at the Idiap Research
Institute.
Applicants must be self-sufficient programmers and have a strong
background in mathematics. They should be interested in, and familiar
with, applied probabilities, information theory, signal processing,
optimization, algorithmic, and development in deep-learning
frameworks.
The Idiap Research Institute is located in Valais[7], a scenic region
in the south of Switzerland, surrounded by the highest mountains of
Europe, and within close proximity to Lausanne and Geneva. The working
language of Idiap is English.
----
[1] http://www.idiap.ch
[2] http://www.idiap.ch/mlg/
[3] http://www.epfl.ch
[4] http://sti.epfl.ch/page-1616-en.html
[5] http://phd.epfl.ch/edic/
[6] http://www.idiap.ch/~fleuret/
[7] https://en.wikipedia.org/wiki/Canton_of_Valais
======================================================================
From fbln at ecomp.poli.br Sat May 19 08:44:53 2018
From: fbln at ecomp.poli.br (Prof. Fernando Buarque)
Date: Sat, 19 May 2018 09:44:53 -0300
Subject: Connectionists: FINAL CALL FOR PAPERS - 2018 IEEE 5th
Latin-American Conference on Computational Intelligence (IEEE LA-CCI 2018)
Message-ID:
Dear Colleagues,
-Greetings from Latin America!
On the behalf of the organizers, I am glad to invite you and your
lab-members to submit your recent results to the
* -2018 IEEE ? 5th Latin-American Conference on Computational
Intelligence (IEEE LA-CCI 2018)*
Your students may also be willing to participate at the inspiring:
* -2018 IEEE LA-CCI School on Computational Intelligence &
Applications (IEEE SSo-CIA 2018)*
* -2018 LA-CCI Theses Contest on Computational Intelligence &
Applications *
In 2018, our event will be held in Guadalajara-Mexico, on November, 7-9th.
Again, this edition is supported by IEEE-CIS, as well
as by CI Societies and Research Groups from Argentina, Bolivia, Brazil,
Chile, Colombia, Ecuador, Mexico (Host), Peru and Venezuela
*"LA-CCI is an exciting international event on Computational Intelligence
held in Latin America to colleagues worldwide"*
Please do send your manuscripts and let us all meet in Guadalajara, one of
the major
technology hubs and a lively cultural heritage of Mexico! We have 10
confirmed great key-speakers.
Cordially, Fernando Buarque
Prof. Fernando Buarque , BSc MSc
DIC PhD(UK) Hab(BR) AvH Fellow(DE), Senior Memb. IEEE(USA), Accred. Res.
CNPq(BR)
Associate Professor - School of Engineering/University of Pernambuco-UPE,
Brazil (POLI /UPE )
Adjunct Professor - Electrical&Computer Engineering/Texas A&M
University, USA (ECE at TAMU
)
Visiting Professor - School of Business and Economics-European
Research Center for IS/University of M?nster, Germany (ERCIS
)
Visiting Professor - Electrical Engineering/University of
Johannesburg, South Africa (Kingsway Campus
)
*** Further information about the event is as follows:
*IMPORTANT DATES*
PAPERS:
-Submissions: *June 4, 2018 NEW*
-Notification of acceptance: July 2, 2018
-Final version of all accepted papers: July 16, 2018
THESES CONTEST:
-Theses Contest Deadline: July 2, 2018
-Theses Contest Result Notification: July 16, 2018
AOB
-Early registration: July 16, 2018
*KEY-SPEAKERS (CONFIRMED):*
-Carlos Coello, Mexico
-Carlos Lopez-Franco, Mexico
-Esteban A. Hernandez-Vargas, Germany
-Hojjat Adeli, USA
-Jagannathan Sarangapani, USA
-Nancy Arana-Daniel, Mexico
-Oscar Castillo, Mexico
-Patricia Melin, Mexico
-Paul Werbos, USA
-Vicenzo Piuri, Italy
*WEB-LINKS:*
-THE CONFERENCE WEBSITE LINK => http://la-cci.org/
-FOR SUBMITTING YOUR LATEST WORK => https://easychair.org/
conferences/?conf=2018ieeelacci
-FINAL-CFP (**FEEL FREE TO DISTRIBUTE**) =>
http://la-cci.org/la-cci-2018/call-for-papers-2018/
-School on CI & Applications =>
http://la-cci.org/la-cci-2018/summer-school-on-computational-intelligence-and-applications-ssocia-2018/
-Theses Competition =>
http://la-cci.org/la-cci-2018/theses-competition-2018/
*CONFERENCE-TRACKS:*
I) *Evolutionary & Swarm Computation*: Genetic Algorithms, Genetic
Programming, Artificial Immune Systems, Swarm Intelligence, Collective
Intelligence, Evolvable Hardware, Bio-inspired Methods.
II) *Neural & Learning Systems*: Neural Networks, Machine Learning,
Complex Systems, Molecular and Quantum Computing, Complex Networks.
III) *Fuzzy & Stochastic Modeling*: Fuzzy Systems, Fuzzy Control & Decision
Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems,
Reinforcement Learning, Game Theory.
*OTHER ACTIVITIES:*
-Summer School, Theses contest, Round-tables, Cultural tours and more.
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From shelie at purdue.edu Sat May 19 11:46:16 2018
From: shelie at purdue.edu (Helie, Sebastien)
Date: Sat, 19 May 2018 15:46:16 +0000
Subject: Connectionists: Call For Papers - CreaCogMod 2018
In-Reply-To: <201805181501.w4IF1VuG002828@easychair.org>
References: <201805181501.w4IF1VuG002828@easychair.org>
Message-ID: <1526744778362.77396@purdue.edu>
CreaCogMod 2018 - Computational Methods and Systems for the Cognitive Modelling and Support of Creativity and Creative Problem Solving - Call For Papers
----------------------------------------------------------------------------------------------
The workshop "Computational Methods and Systems for the Cognitive Modelling and Support of Creativity and Creative Problem Solving" is part of the CogSci 2018 - the 40th Annual Meeting of the Cognitive Science Society, to be held in Madison, WI on Wednesday, July 25th - Saturday, July 28th, 2018 (Wednesday, July 25th is the Tutorials and Workshops day).
Link to the CreaCogMod 2018 workshop: http://creacogcomp.com/CreaCogMod2018/creacogmod2018.html
----------------------------------------------------------------------------------------------
Introduction
----------------------------------------------------------------------------------------------
Computational creativity and human creativity are fields modelled with different processes and evaluated with different methods. To bridge this interdisciplinary divide, we need to: disseminate and refine existing computational methods for modelling cognitive processes, aim to implement more cognitive processes in computational creativity systems, and set benchmarks of comparative evaluation between cognitive human and computational systems.
Various computational methods might lend themselves better to modelling cognitive processes - for example, semantic networks might help model associativity processes, case base reasoning might help model cognitive structured representations which admit variations, etc.
Furthermore, various (a) computational models of a cognitive process or (b) systems aiming at replicating cognitive process results do exist: e.g. for an analogy, metaphor, concept blending and concept invention, insight etc. Also, various systems exist that can perform well in human creativity tests, like the Remote Associates Test and the Alternative Uses Test. Other such computational cognitive systems show new possibilities in the improving control over current experimental design.
In this workshop we will discuss existing computational methods, systems and models, focusing on questions like the following:
1. what computational methods are more suitable for implementing computational models of creativity and problem solving, and computational systems supporting creativity and problem solving
2. what types of support can natural cognitive systems benefit from when performing creative problem solving and other creative acts
3. what kind of computational support has been offered so far, what kind of computational support can be offered with the existing techniques and approaches
4. to what extent computational methods must get closer to simulating or modelling cognitive process to make cognitive support possible
----------------------------------------------------------------------------------------------
Topics
----------------------------------------------------------------------------------------------
CreaCogMod welcomes papers on one or more of the general topics of Cognitive and Computational methods, creative problem solving and computational creativity. Both theoretical, computationally applied and empirical papers will be accepted. We especially welcome papers which aim to bring together some of these topics.
Topics are centred around but not limited to:
Cognitive methods and Computational methods
Creative problem solving
Computational Creativity
Associativity and Conceptual Spaces
Semantic networks and semantic graphs
Case-based reasoning
Ill-structured problem solving
Structured representations
Knowledge discovery
Creative cognition
Creativity tests
Evaluation of natural and computational cognitive systems
Neural networks
Evolutionary algorithms
Analogy
Metaphor
Creative assistive systems
Modelling of creativity and problem solving
----------------------------------------------------------------------------------------------
Submission
----------------------------------------------------------------------------------------------
Two types of papers are welcome:
Full research papers up to 10 pages in LNCS format + references.
Poster abstract submissions - up to 5 pages in LNCS format (including references).
For formats, please visit our CFP webpage.
Submission is open now via EasyChair (https://easychair.org/conferences/?conf=creacogmod2018).
For any problems related to submission please contact Ana-Maria Olteteanu (email: ana-maria dot olteteanu at fu-berlin dot de).
----------------------------------------------------------------------------------------------
Publication
----------------------------------------------------------------------------------------------
The papers submitted for this workshop will be published as a CEUR-WS volume. If enough high-quality papers are received, a Special Issue will be proposed by the organizer to the Cognitive Systems Research journal, or a topic proposal will be made to TopiCS in Cognitive Science.
----------------------------------------------------------------------------------------------
Important Dates
----------------------------------------------------------------------------------------------
Submission of abstracts for full research papers - 1st June, 2018.
Submission of full papers and poster abstracts - 15th June, 2018.
Notification of acceptance - 25th June, 2018.
Camera-ready version - 1st July, 2018
----------------------------------------------------------------------------------------------
Speakers
----------------------------------------------------------------------------------------------
Dr. Ashok K. Goel - Professor of Computer Science and Cognitive Science in the School of Interactive Computing at Georgia Institute of Technology
Dr. Sebastien H?lie - Associate Professor of Mathematical and Computational Cognitive Science, Cognitive Psychology and Neuroscience at the Department of Psychological Sciences, Purdue University
Yoed Kenett - Postdoctoral Fellow at the Department of Psychology at the University of Pennsylvania
Dr. Kai Wang - Assistant Professor of Management at the Kean University
----------------------------------------------------------------------------------------------
Program Committee (More to be announced)
----------------------------------------------------------------------------------------------
Anna Jordanous - University of Kent
Antonio Lieto - University of Turin
Ashok Goel - Georgia Institute of Technology
Boris Forthmann - Westfalische Wilhelms-Universitat
Carlos Leon - Universidad Complutense de Madrid
Geraint Wiggins - Queen Mary University of London
Liane Gabora - University of British Columbia
Richard Hass - Philadelphia University
Sebastien H?lie - Purdue University
Yoed Kenett - Bar-Ilan University
----------------------------------------------------------------------------------------------
Regards,
Faheem
CreaCogMod 2018 Organizers,
Ana-Maria Olteteanu and Faheem Zunjani
Cognitive Systems Group
Human-Centered Computing
Freie Universit?t, Berlin, Germany
-----------------------------------------------------------------
Sebastien Helie, Ph.D.
Associate Professor of Psychological Sciences
Associate Director of the Purdue Life Sciences Imaging Facility
Co-Director of CEREBBRAL
----------------------------------------------------------------
From nian.zhang6 at gmail.com Sun May 20 00:36:12 2018
From: nian.zhang6 at gmail.com (Nian Ashlee Zhang)
Date: Sun, 20 May 2018 00:36:12 -0400
Subject: Connectionists: =?utf-8?q?CFP_-_ICONIP_2018=2C_Siem_Reap=2C_Cambo?=
=?utf-8?q?dia=EF=BC=8CDecember_14_-_16=2C_2018?=
In-Reply-To:
References:
Message-ID:
25th International Conference on Neural Information Processing (ICONIP 2018)
?Siem Reap, Cambodia?December 14 - 16, 2018
https://conference.cs.cityu.edu.hk/iconip/
The 25th International Conference on Neural Information Processing (ICONIP
2018) will be held in Siem Reap, Cambodia during December 14 - 16, 2018,
following the successes of previous events. Located near Siem Reap in
northern Cambodia, Angkor Wat is one of the most important archaeological
sites in South-East Asia, the largest religious monument in the world, and
listed by UNESCO as a cultural heritage. ICONIP 2018 aims to provide a
high-level international forum for scientists, engineers, and educators to
present the state of the art of research and applications in related
fields. The conference will feature plenary speeches given by world
renowned scholars, regular sessions with broad coverage, and special
sessions focusing on popular topics.
Timeline
Special session proposals deadline
May 1, 2018
Paper submission deadline
June 1, 2018
Notification of acceptance
August 1, 2018
Camera-ready copy and author registration
September 1, 2018
Conference
December 14-16, 2018
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From salah at boun.edu.tr Sun May 20 23:49:03 2018
From: salah at boun.edu.tr (salah)
Date: Mon, 21 May 2018 11:49:03 +0800
Subject: Connectionists: FG 2019 Call for Special Sessions, Workshops,
and Tutorials
Message-ID: <2d2afccc214ce21506cd47db853a80b1@boun.edu.tr>
Call for Special Sessions, Workshops, and Tutorials - IEEE FG 2019,
Lille, 14-18 May 2019.
------------------------
We invite special sessions, workshop, and tutorial proposals for the
2019 IEEE Conference on Automatic Face and Gesture Recognition in Lille,
France. Accepted workshops and tutorials will be held on either May 14
or May 18, 2019, in the same venue as the FG 2019 main conference,
namely, Lille Grand Palais. Special sessions will be held with the main
conference, 15-17 May.
We solicit workshop and tutorial proposals on any topic of interests to
the FG community. We especially encourage workshops relating to emerging
new fields or new application domains of face and gesture analysis and
synthesis. The tutorials should complement and enhance the scientific
program of FG 2019 by providing authoritative and comprehensive
overviews of growing themes that are of sufficient relevance with
respect to the state-of-the-art and the conference topics. Workshop and
tutorial organizers who have a strong track record in the field are
strongly encouraged to submit a proposal. The tutorials are half-day
events (3 to 4 hours including breaks). For Special Sessions, we
particularly encourage proposals that highlight emerging new fields,
application domains and challenges related to face and gesture as well
as interdisciplinary topics that bring new perspectives to the FG
community. These Special Sessions will emphasize ?Frontiers in FG? in
the face and gesture recognition research field. It is possible to
propose panels in this category. Proposers should have a strong record
in the proposed field. If the Special Session is accepted, proposers
will act as area chairs and supervise the reviewing process of the
papers marked for the Special Session.
The workshop paper submission, review, acceptance notification, and
final manuscript due must all be handled until February 15, 2019
(camera-ready workshop paper due date). Financial support from the main
conference is not guaranteed and depends on budget.
IMPORTANT DATES
Special Session proposals due: September 21, 2018
Special Session proposal notification: October 10, 2018
Special Session papers due: 9 December, 2018
Workshop proposals due: September 21, 2018
Workshop acceptance decisions: October 10, 2018
Workshop camera ready papers due: February 15, 2019
Tutorial proposals due: January 14, 2019
Tutorial decisions: February 4, 2019
The main conference will provide rooms, equipment, and coffee breaks for
the workshops and tutorials. If necessary, poster facilities will be
offered. For each workshop one complimentary registration for a keynote
speaker is available. For any additional questions please contact the
workshop, tutorial, and special session chairs.
All workshop, tutorial, and special session proposals should be sent via
email to FG 2019 Workshop, Tutorial, and Special Session Co-chairs,
Stefano Berretti (stefano.berretti at unifi.it) and Albert Ali Salah
(salah at boun.edu.tr), with the subject field ?FG 2019 [type] Proposal:
[title of session]? where [type] should be replaced with one of the
following: "Workshop", "Tutorial", "Special Session", or "Panel".
WORKSHOP PROPOSAL SUBMISSION
A proposal should include the following information to facilitate the
decision process:
Workshop title
-Workshop motivation, expected outcomes and impact
-List of organizers including affiliation, email address, and short bio
-Tentative length of the workshop (half day or full day)
-Tentative paper submission and review schedule
-Planned advertisement means, website hosting
-Paper submission procedure (submission via web site, via email, etc.)
if applicable
-Paper review procedure (single/double-blind, internal/external,
solicited/invited-only, pool of reviewers, etc.)
-Specify the relationship, if any, to previous workshops
-Describe difference with most relevant previous workshops
-Tentative program committee, and invited speakers, if any
-Estimated number of submissions and acceptance rate
-Special space or equipment requests, if any
-Specify if there will be non-peer reviewed invited paper, if so, how
many?
TUTORIAL PROPOSAL SUBMISSION
A proposal should include the following information to facilitate the
decision process:
-Tutorial title
-Proposer?s contact information and short CV
-Names of any additional lecturers and short CV
-Tutorial description and description of relevance to the FG community
and an evaluation plan
-References and experience of the instructors with respect to the
proposed tutorial topic
-Planned length of the tutorial
-List of relevant tutorials recently presented in other conferences
-Requirements (e.g., facilities, Internet access, etc.)
-Other useful information (e.g., estimated attendance, slides/notes
available, etc.).
Tutorial proposals will be evaluated on the basis of their estimated
benefit for the community and their fit within the tutorials program as
a whole. Factors to be considered include: relevance, timeliness,
importance, and audience appeal; suitability for presentation in a half
or full day format; past experience and qualifications of the
instructors. Selection will also be based on the overall distribution of
topics, expected attendance, and specialties of the intended audiences.
SPECIAL SESSION PROPOSAL SUBMISSION
A proposal must include the following information:
-The title of the proposed Special Session or Panel.
-A brief description of the topic, including how it stands apart from
the regular FG topics/sessions.
-Contact information and short bio of the organizers.
-For a Special Session: a list of proposed contributions to the special
session (including authors, title, and short abstract).
-For a Panel: a list of proposed panelists and their expected
perspectives/contributions. Paper preparation and review details.
Special Session papers will be part of the conference proceedings and
will be reviewed along with the regular conference submissions. Papers
submitted to a Special Session should describe original work and should
follow the general FG submission guidelines.
For your reference, below is a list of workshops, tutorials, and special
sessions held in conjunction with FG 2018:
Workshops:
-8th Int. Workshop on Human Behavior Understanding in conjunction with
2nd Int. Workshop on Automatic Face Analytics for Human Behavior
Understanding (HBU 2018)
-Latest developments of FG technologies in China
-First Workshop on Large-scale Emotion Recognition and Analysis (LERA
2018)
-IEEE FG 2018 Workshop on Dense 3D Reconstruction of 2D Face Images in
the Wild
-Face and Gesture Analysis for Health Informatics (FGAHI 2018)
-Facial Micro-Expression Grand Challenge (MEGC): Methods and Datasets
-The 1st International Workshop on Real-World Face and Object
Recognition from Low-Quality Images (FOR-LQ)
Tutorials:
-Person Re-Identification: Recent Advances and Challenges
-Representation Learning for Face Alignment and Recognition
-Reading Hidden Emotions from Micro-Expression Analysis
-Active Authentication in Mobile Devices: Role of Face and Gesture
-Introduction to Deep Learning for Facial Understanding
-Sign Language Recognition and Gesture Analysis
-Physiological Measurement from Images And Videos
-Statistical Methods for Affective Computing
-Ms-Celeb-1M: Large Scale Face Recognition Challenge Tutorial
Special Sessions:
-Perception, Cognition and Psychophysiology of Gesture Interaction
-Is Deep Learning Always the Best Solution for Face Recognition?
-Face and Gesture Recognition on Mobile Devices
-Kinect-based Kinematic Data Analysis and Evaluation for Clinical
Applications
-Measurable Social Impact Systems and Applications
-Generalized Face Spoofing Detection in Real-World Applications
-Automatic Kinship Verification from Face
From smart at neuralcorrelate.com Mon May 21 09:32:02 2018
From: smart at neuralcorrelate.com (Susana Martinez-Conde)
Date: Mon, 21 May 2018 09:32:02 -0400
Subject: Connectionists: =?utf-8?q?Call_for_Papers_JEMR_Special_Thematic_I?=
=?utf-8?q?ssue=3A_=22Microsaccades_-_Empirical_Research_and_Method?=
=?utf-8?q?ological_Advances=E2=80=9C?=
In-Reply-To: <0f4301d3f107$d7fd1970$87f74c50$@neuralcorrelate.com>
References: <0f4101d3f107$a0a8d2c0$e1fa7840$@neuralcorrelate.com>
<0f4301d3f107$d7fd1970$87f74c50$@neuralcorrelate.com>
Message-ID: <0f5201d3f108$1d729fc0$5857df40$@neuralcorrelate.com>
Call for Papers: Journal of Eye Movement Research Special Thematic Issue: "Microsaccades: Empirical Research and Methodological Advances"
With the availability of affordable high speed eye tracking devices, microsaccades have come into the focus of interest in many areas of sensory, perceptual and cognitive processes. We invite authors to submit contributions to a thematic issue on microsaccades, to be published in the Journal of Eye Movement Research. Both reviews and original research, including measurement and data analyses in fundamental, translational, and applied research, are welcome. Please see the submission instructions at https://bop.unibe.ch/index.php/JEMR/about/submissions#authorGuidelines
Abstract submission deadline: June 30, 2018, Manuscript submission deadline: November 15, 2018.
The Journal of Eye Movement Research will publish each individual article in Issue 6 of Volume 11 (2018) on a rolling basis.
The content alert will be distributed after completion of the full issue.
Guest editors:
Susana Martinez-Conde
Ralf Engbert
Editor in Chief, Journal of Eye Movement Research:
Rudolf Groner
-------------------
On behalf of:
Susana Martinez-Conde, PhD
Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York, Downstate Medical Center
Email: smart at neuralcorrelate.com
Ralf Engbert, Prof. Dr. rer. nat.,
Professor of Experimental and Biological Psychology University of Potsdam
Email: Ralf.Engbert at uni-potsdam.de
Rudolf Groner, PhD
Professor emeritus
University of Bern, Switzerland
Email: Rudolf Groner ________________________________________________________________________
Journal of Eye Movement Research
https://jemr.org
From christian.machens at neuro.fchampalimaud.org Mon May 21 12:10:50 2018
From: christian.machens at neuro.fchampalimaud.org (Christian Machens)
Date: Mon, 21 May 2018 17:10:50 +0100
Subject: Connectionists: Two postdoc positions at Champalimaud Centre for
the Unknown, Lisbon
Message-ID: <3FD364DE-AFFC-4C7A-9A7B-1CEFFAC4E126@neuro.fchampalimaud.org>
POSTDOC POSITIONS IN COMPUTATIONAL / SYSTEMS NEUROSCIENCE
Two postdoctoral positions - one in theory and one in experiment - are
available in a joint project between the labs of Alfonso Renart and Christian
Machens at the Champalimaud Centre for the Unknown in Lisbon, Portugal.
Location:
The Champalimaud Centre for the Unknown is situated on the waterfront in
central Lisbon. English is the official language of the Centre. The center is
composed of about 20 main research groups who study diverse topics in
neuroscience using advanced, cutting edge techniques.
Project:
The proposed project will investigate to what extent neural circuits actively
compensate random perturbations. The project involves the recordings and
partial silencing of neural populations, population-level analysis using
dimensionality reduction and other techniques, and the modeling of the
results with spiking networks. Relevant background literature: Renart, de
la Rocha, et al (2010), Science 327:587-90; Barrett et al (2016), eLife 5:12454;
Deneve and Machens (2016), Nat Neurosci 19:375-82.
Profile (theory):
The ideal candidate should have a PhD with a strong, quantitative background
(ideally in fields such as machine learning and/or computational neuroscience).
The position is funded for two years with possibility of extension.
Profile (experiment):
The ideal candidate should have experience in electrophysiology
(e.g. recordings from behaving head-fixed mice) and data analysis
(e.g. dimensionality reduction methods etc).
Applications should include a CV, a statement of research interests (max
1 page), and two letters of recommendation. Feel free to ask any informal
questions about the positions if you are interested.
Electronic submissions in pdf-format are preferred and should be send to both
of the following email addresses:
christian.machens at neuro.fchampalimaud.org
alfonso.renart at neuro.fchampalimaud.org
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From lciti at essex.ac.uk Mon May 21 17:42:42 2018
From: lciti at essex.ac.uk (Luca Citi)
Date: Mon, 21 May 2018 22:42:42 +0100
Subject: Connectionists: Deadline extended: Special session on "Bayesian
models for motor rehabilitation and control" @ICNR2018
Message-ID:
INTRODUCTION
-----------------------------------------------
We invite contributions to a special session on "Bayesian models for
motor rehabilitation and control" at the International Conference on
NeuroRehabilitation (ICNR2018) that will take place in Pisa (Italy) from
October 16th to 20th, 2018. This session's aim is to bring together
scientists working on theoretical models and engineers working on
rehabilitation and restoration devices.
More information about the special session at:
http://www.icnr2018.org/special-sessions-2/
ABSTRACT
-----------------------------------------------
Bayesian statistics is a branch of statistics that provides a principled
way of calculating how prior knowledge can be combined with observations
in a statistically optimal way. Numerous studies have shown that many
aspects of human behaviour (e.g. sensorimotor control) are close to
?Bayes? optimal?. Learning (or re-learning in the case of
rehabilitation) can also be seen as the process of updating our priors
based on new observations. It seems therefore natural to employ such
models not only to describe neural processes but also to decode them for
the purpose of improving the effectiveness of rehabilitation or for the
control of a prosthetic device. From an implementation point of view,
Bayesian models are also appealing because they may be better suited
than other techniques for dealing with the smaller data sets that are
typically available in biomedical engineering applications.
This session?s goal is to promote and showcase cutting edge research in
modeling human neuromotor control for the purpose of improving
rehabilitation techniques or designing better control strategies for
actuated prostheses. In particular, this special session is dedicated to
understanding the potential benefits and limitations of applying
Bayesian techniques to such problems. We envision the session will
provide an interdisciplinary platform bringing together scientists
working on theoretical models and engineers working on rehabilitation
and restoration devices. Example topics may include but are not limited
to: Bayesian model averaging, Markov-Chain Monte Carlo, sequential Monte
Carlo, dynamic causal modeling, state-space modeling, hierarchical
Bayesian modeling, non-parametric Bayesian inference, and their
application to the aforementioned biomedical engineering problems.
SUBMISSION INSTRUCTIONS
-----------------------------------------------
Please submit your 2-page extended abstract through the Easy Chair
platform (https://easychair.org/conferences/?conf=icnr2018) before *1st
of June 2018*.
During the submission process, please select the special session code "SS1".
Abstracts have to be formatted according to the ICNR2018 template, which
can be downloaded at: http://www.icnr2018.org/call-for-papers
A selection of the contributions will be published on a special issue on
"IEEE Transactions on Neural Systems and Rehabilitation Engineering".
CONTACTS
-----------------------------------------------
For information on the special session, please contact Luca Citi
(lciti at essex.ac.uk)
For more general information about ICNR2018, please contact the
conference organisers at http://www.icnr2018.org/contact/
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From zhaoping at gatsby.ucl.ac.uk Tue May 22 02:27:26 2018
From: zhaoping at gatsby.ucl.ac.uk (Dr Zhaoping Li)
Date: Tue, 22 May 2018 07:27:26 +0100 (BST)
Subject: Connectionists: Video lectures available on visual
decoding/inference (and other vision topics)
Message-ID:
There are two parts on this "visual decoding" topic, one is 25 minutes
long video lecture, one is 51 minutes long video lecture, see
http://www0.cs.ucl.ac.uk/staff/Zhaoping.Li/VisualDecodingIntroSeminar.html
They are made using mainly materials from the text book
"Understanding vision: theory, models, and data" by Li Zhaoping, published
by Oxford University Press.
For video lectures on other topics in that textbook see
http://www0.cs.ucl.ac.uk/staff/Zhaoping.Li/VideoLectures_ForBook.html
comments and feedback welcome!
Zhaoping
--
Li Zhaoping
Professor of Computational Neuroscience, University College London
Author of "Understanding vision: theory, models, and data", Oxford
University Press, 2014
www.cs.ucl.ac.uk/staff/Zhaoping.Li/
From asdm at fi.upm.es Tue May 22 04:26:57 2018
From: asdm at fi.upm.es (asdm at fi.upm.es)
Date: Tue, 22 May 2018 10:26:57 +0200 (CEST)
Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data
Mining Summer School (June 25th - July 6th,
2018) - Early registration deadline
Message-ID: <1342443276.0.1526977617118.JavaMail.bmihaljevic@morelia>
Dear colleagues,
We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 1st.
The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.
Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI
Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:
http://www.dia.fi.upm.es/ASDM
There is a 25% discount for members of Spanish AEPIA and SEIO societies.
Please, forward this information to your colleagues, students, and whoever you think may find it interesting.
Best regards,
Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?.
-- School coordinators.
*** List of courses and brief description ***
* Week 1 (June 25th - June 29th, 2018) *
1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R.
Course 2: Time Series(15 h)
Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R.
2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka.
Course 4: Statistical Inference (15 h)
Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R.
3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks.
Course 6: Big Data with Apache Spark (15 h)
Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib.
* Week 2 (July 2nd - July 6th, 2018) *
1st session: 9:45-12:45
Course 7: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs.
Course 8: Unsupervised Pattern Recognition (15 h)
Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R.
2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks.
Course 10: Feature Subset Selection (15 h)
Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks.
Course 12: Hidden Markov Models (15 h)
Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.
From luca.oneto at unige.it Tue May 22 04:57:11 2018
From: luca.oneto at unige.it (Luca Oneto)
Date: Tue, 22 May 2018 10:57:11 +0200
Subject: Connectionists: INNSBDDL2019 - Call For Paper / Workshop / Tutorials
Message-ID:
Apologies for cross-posting. Kindly help to distribute this call to your
mailing list.
INNS BIG DATA AND DEEP LEARNING 2019
SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019
HTTPS://INNSBDDL2019.ORG/
WEBSITE
https://innsbddl2019.org/
VENUE & ORGANIZATION
The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be
held in Sestri Levante, Italy, April 16?18, 2019. The conference is
organized by the International Neural Network Society, with the aim of
representing an international meeting for researchers and other
professionals in Big Data, Deep Learning and related areas. It will feature
invited plenary talks by world-renowned speakers in the area, in addition
to regular and special technical sessions with oral and poster
presentations. Moreover, workshops and tutorials will also be featured.
IMPORTANT DATES
Deadline for submission of tutorial and workshop proposals: August 31, 2018
Notification of tutorial and workshop proposals: September 30, 2018
Deadline of full paper submission: October 31, 2018
Notification of paper acceptance: December 31, 2018
Camera-ready submission: January 31, 2019
Early registration deadline: December 31, 2018
Registration deadline: January 31, 2019
Conference date: April 16-18, 2019
SCOPE
We solicit both solid contributions or preliminary results which show the
potentiality and the limitations of new ideas, refinements, or
contaminations in any aspect of Big Data and Deep Learning. Both
theoretical and practical results are welcome.
Example topics of interest includes but is not limited to the following:
Big Data Science and Foundations
- Novel Theoretical Models for Big Data
- New Computational Models for Big Data
- Data and Information Quality for Big Data
Big Data Mining
- Social Web Mining
- Data Acquisition, Integration, Cleaning, and Best Practices
- Visualization Analytics for Big Data
- Computational Modeling and Data Integration
- Large-scale Recommendation Systems and Social Media Systems
- Cloud/Grid/StreamData Mining
- Big Velocity Data
- Link and Graph Mining
- Semantic-based Data Mining and Data Pre-processing
- Mobility and Big Data
- Multimedia and Multi-structured Data-Big Variety Data
Modern Practical Deep Networks
- Deep Feedforward Networks
- Regularization for Deep Learning
- Optimization for Training Deep Models
- Convolutional Networks
- Sequence Modeling: Recurrent and Recursive Nets
- Practical Methodology
Deep Learning Research
- Linear Factor Models
- Autoencoders
- Representation Learning
- Structured Probabilistic Models for Deep Learning
- Monte Carlo Methods
- Confronting the Partition Function
- Approximate Inference
- Deep Generative Models
PROCEEDINGS & SPECIAL ISSUE
Works submitted as a regular paper will be published in a serie indexed by
Scopus. Submitted papers will be reviewed by some PC members based on
technical quality, relevance, originality, significance and clarity. At
least one author of an accepted submission should register to present their
work at the conference. Selected papers presented at INNS BDDL 2019 will be
included in special issues of top journals in the field (prospected
journals: Big Data Research, Transaction on Neural Networks and Learning
System, Neurocomputing, etc).
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From tarek.besold at googlemail.com Tue May 22 05:59:16 2018
From: tarek.besold at googlemail.com (Tarek R. Besold)
Date: Tue, 22 May 2018 10:59:16 +0100
Subject: Connectionists: 2nd Call for Papers: NeSy'18,
the 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning
(Prague, CZ, August 23/24, 2018)
Message-ID:
== Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018 ==
Executive Summary:
- What: 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning
- When: August 23/24, 2018
- Where: Prague, CZ
- Website: http://www.neural-symbolic.org/NeSy18/
- Collocated with: Human-Level AI 2018 (https://www.hlai-conf.org/)
== Keynote Speakers ==
- Hava Siegelmann, DARPA & University of Massachusetts Amherst.
- Paul Smolensky, Johns Hopkins University & Microsoft Research
- Luciano Serafini, Fondazione Bruno Kessler.
- Thomas Lukasiewicz, University of Oxford
- Simo Dragicevic, CEO, BetBuddy Ltd.
== The Workshop ==
Artificial Intelligence researchers continue to face huge challenges in
their quest to develop truly intelligent systems. The recent developments
in the field of neural-symbolic integration bring an opportunity to
integrate well-founded symbolic artificial intelligence with robust neural
computing machinery to help tackle some of these challenges.
The Workshop on Neural-Symbolic Learning and Reasoning is intended to
create an atmosphere of exchange of ideas, providing a forum for the
presentation and discussion of the key topics related to neural-symbolic
integration.
Topics of interest include but are not limited to:
- The representation of symbolic knowledge by connectionist systems;
- Neural Learning theory;
- Integration of logic and probabilities, e.g., in neural networks, but
also more generally;
- Structured learning and relational learning in neural networks;
- Logical reasoning carried out by neural networks;
- Integrated neural-symbolic approaches;
- Extraction of symbolic knowledge from trained neural networks;
- Integrated neural-symbolic reasoning;
- Neural-symbolic cognitive models;
- Biologically-inspired neural-symbolic integration;
- Applications in robotics, simulation, fraud prevention, natural language
processing, semantic web, software engineering, fault diagnosis,
bioinformatics, visual intelligence, etc.
== Presentation ==
Accepted full and late breaking papers will be presented during the
workshop. The workshop will include extra time for discussion of the
presentations allowing the group to have a better understanding of the
issues, challenges, and ideas being presented.
== Publication ==
Accepted full papers will be published in a post-workshop volume of the
IfCoLog Journal of Applied Logic (JAL). For the inclusion of accepted late
breaking papers, a second in-depth review will be required following the
workshop.
== Submission Format ==
Researchers and practitioners are invited to submit original papers that
have not been submitted for review or published elsewhere:
Authors of contributed papers are encouraged to use the LaTex article
style, a 12pt font, and to submit a paper with no more than 12 pages plus
references.
Papers should be submitted as electronic attachments in pdf format by email
to the College Publications managing director, Ms Jane Spurr (jal at kcl.ac.uk).
The email message should include the author(s) names and affiliations, the
title of the paper and the name of the NeSy'18 co-chair best suited to
handle the submission. Please use the phrase "NeSy18 JAL submission" in the
subject line.
== Important Dates ==
Deadline for full paper submission: June 11, 2018
Notification of acceptance/rejection (full papers): July 5, 2018
Deadline for late breaking paper submission: August 1, 2018
Notification of acceptance/rejection (late breaking papers): on continuous
basis, latest by August 8, 2018
Workshop dates: August 23-24, 2018
== Additional Information ==
General questions concerning the workshop should be addressed to Tarek R.
Besold at Tarek-R.Besold at city.ac.uk.
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From stephan.busemann at dfki.de Tue May 22 06:33:24 2018
From: stephan.busemann at dfki.de (Stephan Busemann)
Date: Tue, 22 May 2018 12:33:24 +0200
Subject: Connectionists: AIMSA 2018,
submission deadline extension to 31 May 2018
Message-ID: <3d7ee491-e402-25bd-e3ab-2e11959f515d@dfki.de>
Due to many requests, the deadline for submission is extended to 31 May
2018.
CALL FOR PAPERS AIMSA 2018
The 18th International Conference on Artificial Intelligence:
Methodology, Systems, Applications
- AI and Deep Learning -
Golden Sands resort, Varna, Bulgaria, 12-14th September, 2018
www.aimsaconference.org
Initiated in 1984, the biennial Artificial Intelligence: Methodology,
Systems, Applications (AIMSA) conference is a premier forum for
exchanging information and research results on AI theory and principles
along with applications of intelligent system technology. The conference
traditionally brings together academic and industrial researchers from
all areas of AI to share their ideas and experiences and learn about the
research in contemporary AI. As its name indicates, the conference is
dedicated to Artificial Intelligence in its entirety. However, for AIMSA
2018, we would like to put an emphasis on Deep Learning (DL) as it has
been used successfully in many applications, and is considered one of
the most cutting-edge machine learning and AI techniques at the moment.
Of course, the focus on DL does not preclude submission of papers on
other interesting topics and approaches in AI.
The 18th edition of AIMSA will be held in the beautiful Varna area,
Bulgaria. With excellent opportunities for outdoor activities, water
sports and gastronomy, Varna promises to be a wonderful venue for a
memorable conference.
TOPICS
The conference welcomes submissions of original, high quality papers in
all areas of Artificial Intelligence, including (but not limited to)
traditional topics such as search, machine learning, planning, knowledge
representation, reasoning, natural language processing, robotics and
perception, multiagent systems, etc.
We especially welcome papers on end-to-end learning; multi-task
learning; cross- and multi-modal learning; combinations of DL and
knowledge-based approaches; transparency, explainability, stability and
provability of DL; DL meta-learning in AI etc., as well as papers that
bring useful computational technologies from other areas of computer
science into AI.
All submissions will be subject to academic peer review by at least two
members of the program committee. Selection criteria include accuracy
and originality of ideas, clarity and significance of results, and
quality of presentation.
For each accepted paper, at least one author is required to attend the
conference to present the paper.
The best paper of the conference will receive the Best Paper Award
during the conference.
IMPORTANT DATES
Submission deadline: 31 May 2018
Notification of acceptance: June 17, 2018
Deadline for camera-ready: July 1, 2018
Conference: September 12-14, 2018
PROCEEDINGS
AIMSA 2018 Proceedings will be by Springer in their Lecture Notes in
Artificial Intelligence subline of the Lecture Notes in Computer Science
series.
Extended versions of AIMSA 2018 selected papers will be published by
MDPI, Switzerland, in a special issue of ?Information? (ISSN 2078-2489)
? an Open Access Journal of Information Science
(http://www.mdpi.com/journal/information/special_issues/AIMSA_2018.).
PROGRAMME COMMITTEE CHAIR
Josef van Genabith The German Research Center for Artificial
Intelligence DFKI
KEYNOTE SPEAKERS
Feiyu Xu AI Lab, Lenovo Research, Lenovo Group, China
John D. Kelleher Dublin Institute of Technology, Ireland
Milica Gasic University of Cambridge, UK
ASSOCIATED EVENTS
Workshop on Artificial Intelligence in Bioinformatics ? 11th of
September, 2018
http://www.aimsaconference.org/workshop.php
LANGUAGE
The official language of the conference is English.
LOCATION
Golden Sands is a modern resort with traditions, and history going back
50 years. A unique blend of lovely nature park, warm sea, and fine
golden sand! Golden Sands is the winner of a "Blue Flag" - a prestigious
international award for environmentally clean resorts
REGISTRATION
The AIMSA'2018 Registration fees includes attendance to AIMSA'2018
technical sessions, a copy of the AIMSA'2018 proceedings, Welcome
reception, working lunches, coffee-breaks and the Conference dinner.
Registration fees
Before August 1st
Regular fee AIMSA 400?
Student/PhD Student AIMSA 300?
Regular fee WORKSHOP 150?
Regular fee AIMSA & WORKSHOP 500?
Student/PhD Student* AIMSA & WORKSHOP 400?
GRANTS
Bulgarian Artificial Intelligence Association will provide several
grants for PhD students and young researchers. The grant covers the
conference fee.
LOCAL ORGANIZING COMMITTEE CHAIR
Gennady Agre
Institute of Information and Communication Technologies
Bulgarian Academy of Sciences
Acad. G. Bonchev 2, 1113 Sofia, Bulgaria
E-mail: agre at iinf.bas.bg
Phone: +359 28700118
Fax: +359 28707273
ORGANIZERS
Bulgarian Artificial Intelligence Association
Institute of Information and Communication Technologies at the Bulgarian
Academy of Sciences (IICT ? BAS)
From george at cs.ucy.ac.cy Tue May 22 08:56:28 2018
From: george at cs.ucy.ac.cy (George Angelos Papadopoulos)
Date: Tue, 22 May 2018 15:56:28 +0300
Subject: Connectionists: 24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018): Last Mile
In-Reply-To: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy>
References: <59BB872C-4A03-48BC-B09B-5907A0076A7A@cs.ucy.ac.cy>
Message-ID:
*** LAST MILE ***
24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
*** Deadline: 28 May, 2018 (final) ***
WELCOME
ISMIS is an established and prestigious conference for exchanging the latest
research results in building intelligent systems. Held twice every three years,
the conference provides a medium for exchanging scientific research and
technological achievements accomplished by the international community.
SCOPE
The scope of ISMIS is intended to represent a wide range of topics on
applying Artificial Intelligence techniques to areas as diverse as decision
support, automated deduction, reasoning, knowledge based systems,
machine learning, computer vision, robotics, planning, databases,
information retrieval, etc. The focus is on research in intelligent systems.
The conference addresses issues involving solutions to problems that are
complex to be solved through conventional approaches and that require the
simulation of intelligent thought processes, heuristics and applications of
knowledge. The integration of these multiple approaches in solving
complex problems is of particular importance. ISMIS provides a forum and a
means for exchanging information for those interested purely in theory,
those interested primarily in implementation, and those interested in specific
research and industrial applications.
INVITED SPEAKERS
? Michael May - Siemens, Munich, Germany
? Jean-Marc Petit - INSA Lyon and Universit? de Lyon, France
TOPICS
ISMIS 2018 is intended to attract individuals who are actively engaged both
in theoretical and practical aspects of intelligent systems. The goal is to
provide a platform for a useful exchange between theoreticians and
practitioners, and to foster the cross-fertilization of ideas in the following
areas:
? Active Media Human-Computer Interaction
? Autonomic and Evolutionary Computation
? Digital Libraries
? Health Informatics
? Intelligent Agent Technology
? Intelligent Data Processing and Analytics
? Intelligent Information Retrieval
? Intelligent Information Systems
? Intelligent Language Processing
? Knowledge Integration and Aggregation
? Knowledge Discovery and Data Mining
? Knowledge Visualization
? Logic for Artificial Intelligence
? Multimedia Information Retrieval
? Soft Computing
? Text Mining
? Web Intelligence
? Web Mining
In addition, we solicit papers dealing with Applications of Intelligent Systems
in complex/novel domains, e.g. art, human genome, global change,
manufacturing, social good, etc.
PAPER SUBMISSION
Authors are invited to submit their manuscripts in LNCS/LNAI style
(maximum 10 pages). All paper submissions will be handled electronically.
All submissions will be subject to review by the ISMIS 2018 Program
Committee. Papers should be prepared using the Springer LNCS/LNAI style
(http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines),
maximum 10 pages.
Papers should be submitted in PDF form via ISMIS 2018 Online Submission
System: https://easychair.org/conferences/?conf=ismis2018 .
PUBLICATION AND JOURNAL SPECIAL ISSUES
The ISMIS 2018 proceedings will be published by Springer in LNAI
(Lecture Notes in Artificial Intelligence) and will be available at the
conference.
Authors of best papers will be invited to submit their extended versions to
the Journal of Intelligent Information Systems (JIIS)
(http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844)
published by Springer. Fast Track Processing will be used to have them
reviewed and published.
IMPORTANT DATES
? Paper Submissions due: 28th May 2018 (final)
? Notification of Acceptance/Rejection: 10th July 2018
? Camera-Ready Versions of Accepted Papers: 31st July 2018
? Author Registration: 31st Juy 2018
? Early Non-Author Registration: 10th September 2018
? Late Non-Author Registration: after 10th September 2018
ORGANIZING COMMITTEE
Steering Committee Chair
? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland)
Symposium Chair
? George Angelos Papadopoulos (University of Cyprus, Cyprus)
Program Committee Co-Chairs
? Michelangelo Ceci (Universita degli Studi di Bari, Italy)
? Nathalie Japkowicz (American University, USA)
? Jiming Liu (Hong Kong Baptist University, Hong Kong)
Special Sessions Chair
? Stefano Ferilli (University of Bari, Italy)
Program Committee
http://cyprusconferences.org/ismis2018/committees/
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From Sonja.Zhang at de.bosch.com Tue May 22 10:17:57 2018
From: Sonja.Zhang at de.bosch.com (Zhang Sonja (CR/PJ-AI))
Date: Tue, 22 May 2018 14:17:57 +0000
Subject: Connectionists: Jobs at Bosch Center for AI - Research
Message-ID:
Dear all,
I am hiring assistant of Bosch Center of Artificial Intelligence. We are now hiring research scientist and research engineer. I have registered the robotics worldwide mailing list but I see from the website that in order to send messages to all mailing list memebers, I should write email to you, right?
Below is the information that we would like to share, could you please help us to send this email in the mailing list?
Email Title:
WELCOME TO BOSCH! We are looking for DL/ML/RL Research Scientists for diverse functions
Welcome! Join us to start shaping the future of real-world Artificial Intelligence!
The Bosch Center for Artificial Intelligence was founded in early 2017 to deploy cutting-edge AI technologies across Bosch products and services creating solutions that are "Invented for life." Currently over 100 employees are working for the Bosch Center for Artificial Intelligence (BCAI) in Renningen, Sunny Vale and Bangalore. The aim is strengthen Boschs position in the field of artificial intelligence. Bosch will invest around 300 million euros in the BCAI by 2021. At the Bosch Center for Artificial Intelligence, you will have the opportunity to work with large-scale data sets across domains, AI along maturity scales, multi-disciplinary and dynamic teams international teams.
We are looking for:
Deep Learning Researcher Generative Models
https://jobs.smartrecruiters.com/BoschGroup/743999670328561-deep-learning-researcher-generative-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Deep Learning Researcher for Uncertainties in Behavior Models
https://jobs.smartrecruiters.com/BoschGroup/743999670324917-deep-learning-researcher-for-uncertainties-in-behavior-models?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Deep Learning Researcher Uncertainty
https://jobs.smartrecruiters.com/BoschGroup/743999670315739-deep-learning-researcher-uncertainty?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Reinforcement learning researcher for autonomous driving
https://jobs.smartrecruiters.com/BoschGroup/743999670312382-copy-of-reinforcement-learning-researcher-for-autonomous-driving-eg16-?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist in Probabilistic Modeling
https://jobs.smartrecruiters.com/BoschGroup/743999670310841-research-scientist-in-probabilistic-modeling?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist for Reinforcement Learning
https://jobs.smartrecruiters.com/BoschGroup/743999670308942-research-scientist-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Reinforcement Learning under Constraints Researcher
https://jobs.smartrecruiters.com/BoschGroup/743999670306517-reinforcement-learning-under-constraints-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Deep Learning Researcher Explainable AI
https://jobs.smartrecruiters.com/BoschGroup/743999670245878-deep-learning-researcher-explainable-ai?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Engineer for Reinforcement Learning
https://jobs.smartrecruiters.com/BoschGroup/743999670228534-research-engineer-for-reinforcement-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Deep Learning Research Engineer
https://jobs.smartrecruiters.com/BoschGroup/743999670222612-deep-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist Knowledge Representation/Logic Reasoning
https://jobs.smartrecruiters.com/BoschGroup/743999670213416-research-scientist-knowledge-representation-logic-reasoning?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist Mathematical Optimization
https://jobs.smartrecruiters.com/BoschGroup/743999670328410-research-scientist-mathematical-optimization?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Deep Learning Researcher for Autonomous Driving
https://jobs.smartrecruiters.com/BoschGroup/743999670317216-deep-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Reinforcement Learning Research Engineer
https://jobs.smartrecruiters.com/BoschGroup/743999670311722-reinforcement-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Hierarchical Reinforcement Learning Researcher
https://jobs.smartrecruiters.com/BoschGroup/743999670309252-hierarchical-reinforcement-learning-researcher?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Imitation Learning Researcher for Autonomous Driving
https://jobs.smartrecruiters.com/BoschGroup/743999670307598-imitation-learning-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Machine Learning Research Engineer
https://jobs.smartrecruiters.com/BoschGroup/743999670305531-machine-learning-research-engineer?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist Reinforcement Learning for Autonomous Systems & Robotics
https://jobs.smartrecruiters.com/BoschGroup/743999670247269-research-scientist-reinforcement-learning-for-autonomous-systems-robotics?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Probabilistic graphical modeling researcher for autonomous driving
https://jobs.smartrecruiters.com/BoschGroup/743999670237406-probabilistic-graphical-modeling-researcher-for-autonomous-driving?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist for Decision Making, Learning and Control for Robotic Sensor Networks
https://jobs.smartrecruiters.com/BoschGroup/743999670226496-research-scientist-for-decision-making-learning-and-control-for-robotic-sensor-networks?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Research Scientist Deep Learning
https://jobs.smartrecruiters.com/BoschGroup/743999670214766-research-scientist-deep-learning?trid=f153cd89-5005-402f-8c01-8e56b15015ea
Learn more about BCAI:
https://www.bosch-ai.com/en/home/home.html
Check out our worldwide job vacancies
https://www.bosch-ai.com/en/we_are_hiring/we_are_hiring.html
Mit freundlichen Gr??en / Best regards
Sonja Zhang
Please feel free to contact me if you have any further questions.
Thank you in advance.
Mit freundlichen Gr??en / Best regards
Bosch Center for AI - Research (CR/PJ-AI-R)
Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com
(CR/PJ-AI)
Tel. +49 711 811-42553 | Sonja.Zhang at de.bosch.com
Mit freundlichen Gr??en / Best regards
Sonja Zhang
Please feel free to contact me if you have any further questions.
Thank you in advance.
Mit freundlichen Gr??en / Best regards
Bosch Center for AI - Research (CR/PJ-AI-R)
Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com
(CR/PJ-AI)
Tel. +49 711 811-42553 | Sonja.Zhang at de.bosch.com
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From odette.scharenborg at gmail.com Wed May 23 02:22:18 2018
From: odette.scharenborg at gmail.com (Odette Scharenborg)
Date: Wed, 23 May 2018 08:22:18 +0200
Subject: Connectionists: Extended Deadline and Final Call for abstracts: 3rd
International Workshop for Young Female Researchers in Speech Science &
Technology (YFRSW-2018)
Message-ID:
Dear colleague,
please distribute the call below to eligible female
undergraduate/BA/BSc/MA/MSc students.
Note the extended deadline for abstracts: 1 June 2018.
Thank you,
Odette
==== YFRSW-2018, Hyderabad, India, September 1, 2018 ====
Final Call for 3rd International Workshop for Young Female Researchers in
Speech Science & Technology (YFRSW-2018)
Special event of Interspeech 2018, Hyderabad, India
== Important Dates:
- Abstract submission opens: 16 April 2018
- NEW DEADLINE: Abstract submission closes: 1 June 2018
- Notification of acceptance: 15 June 2018
- Registration deadline: 5 July 2018
- Workshop date: 1 September 2018
== Topic:
The aim of this workshop is to bring women undergraduate and masters
students, who are currently working in speech science and technology,
together at a special event co-located with Interspeech 2018, Hyderabad,
India. The workshop will take place on 1 September 2018 from 10am to 5pm
followed by a dinner with invited senior members of the Interspeech
community. It will feature panel discussions with senior female
researchers in the field, student poster presentations and a mentoring
session.
The workshop is the third of its kind, after a successful inaugural event
(YFRSW 2016) at Interspeech 2016 in San Francisco and the second event
(YFRSW 2017) in Stockholm, Sweden. It is designed to foster interest in
research in our field in women at the undergraduate or master level who
have not yet committed to getting a PhD in speech science or technology
areas, but who have had some research experience in their college and
universities via individual or group projects.
== Call for Participation
Abstracts describing the student?s (planned) research (maximum of 300
words) should be submitted by email to
yfrs.workshop at gmail.com by May 24, 2018.
Abstracts will be reviewed by the committee and applicants will be
notified by June 15, 2018. Emphasis will be on inclusivity although all
submissions should be in the core scientific domains covered by
Interspeech.
== Preliminary Program:
The workshop will include the following events:
* A welcome breakfast with introductions (1h)
* A panel of senior women talking about their own research and experiences
as women in the speech community (1h)
* A panel of senior students who work in the speech area to describe how
they became interested in speech research (1h)
* A poster session for the students to present their own research (2h)
* A coaching session between students and senior women mentors (1h)
* A networking lunch for students and senior women (1h)
== Organizing committee:
Amber Afshan (UCLA),
Kay Berkling (Karlsruhe University),
Heidi Christensen (University of Sheffield),
Maxine Eskenazi (CMU),
Milica Gasic (Cambridge University),
Dilek Hakkani-T?r (Google Inc),
Preethi Jyothi (IIT Bombay),
Esther Klabbers (ReadSpeaker),
Lori Lamel (LIMSI CNRS)
Yang Liu (University of Texas Dallas)
Karen Livescu (Toyota Technological Institute at Chicago),
Pratibha Moogi (Samsung Electronics),
Emily Mower Provost (University of Michigah),
Catharine Oertel (EPFL)
Bhuvana Ramabhadran (Google Inc),
Odette Scharenborg (M*Modal),
Elizabeth Shriberg (Ellipsis Health Inc),
Isabel Trancoso (INESC-ID / Instituto Superior T?cnico)
For further details, please see:
https://sites.google.com/view/yfrsw2018/home
From richard.jiang at northumbria.ac.uk Tue May 22 10:44:57 2018
From: richard.jiang at northumbria.ac.uk (Richard Jiang)
Date: Tue, 22 May 2018 14:44:57 +0000
Subject: Connectionists: PhD Studentship - Automated Identification of
Behavioural Dynamics for Secure Mobile Banking
References:
Message-ID:
PhD Studentship: Automated Identification of Behavioural Dynamics for Secure Mobile Banking
Northumbria University | Faculty of Engineering and Environment | Newcastle | United Kingdom
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=82068
About This PhD Project
Behavioural biometrics (such as touch dynamics) is emerging as a new way to identify and characterize an individual in mobile applications. This project aims to develop a framework to utilize the personnel identification for mobile banking applications. Particularly the research will investigate the anomalies in behavioural dynamics and estimate the impact on secure mobile banking/trading within the background of Big Data and Cloud Service. It is also expected to study decision making by individuals and understand the anomalies by integrating social, cognitive, and emotional factors in understanding the interplay between mobile banking/trading behaviour and neural/emotional mechanisms. The project aims at developing a secure mobile banking platform with analytic functions and testing it in the application of big data analytics and cloud service with our industry partner.
The PhD research will be a part of an EPSRC funded project. The successful candidate will work with professionals from both academic and industry, particularly with our partner Atom Bank. Applicants with a multidisciplinary background on biometrics, machine learning, artificial intelligence, financial statistics, big data analytics, and/or cloud computing are welcome.
Eligibility and How to Apply:
Please note eligibility requirement:
? Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
? Appropriate IELTS score, if required (evidence required by 1 August 2017).
For further details of how to apply, entry requirements and the application form, see
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/
Please ensure you quote the advert reference above on your application form.
Deadline for applications: 30 May 2018
Interview date: 20 June 2018
Start Date: 1 October 2018
Northumbria University is an equal opportunities provider and in welcoming applications for studentships from all sectors of the community we strongly encourage applications from women and under-represented groups.
Funding Notes
This project is a funded studentship and includes a full stipend, paid for three years at RCUK rates (for 2017/18 this is ?14,553 pa) and fees (Home/EU ?4,350 / International ?13,000), available to applicants worldwide.
Informal inquiry can be forwarded to Dr Richard Jiang, richard.jiang at unn.ac.uk.
This message is intended solely for the addressee and may contain confidential and/or legally privileged information. Any use, disclosure or reproduction without the sender?s explicit consent is unauthorised and may be unlawful. If you have received this message in error, please notify Northumbria University immediately and permanently delete it. Any views or opinions expressed in this message are solely those of the author and do not necessarily represent those of the University. Northumbria University email is provided by Microsoft Office365 and is hosted within the EEA, although some information may be replicated globally for backup purposes. The University cannot guarantee that this message or any attachment is virus free or has not been intercepted and/or amended.
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From alessandra.sciutti at gmail.com Tue May 22 12:25:56 2018
From: alessandra.sciutti at gmail.com (Alessandra Sciutti)
Date: Tue, 22 May 2018 18:25:56 +0200
Subject: Connectionists: 4 Fully Funded PhD Positions at the Italian
Institute of Technology in the Cognitive Robotics and
Interaction Lab of the Robotics,
Brain and Cognitive Sciences Department
Message-ID: <013501d3f1e9$90367b80$b0a37280$@gmail.com>
Apologies for cross-posting
==================================================================
PhD Openings at the Cognitive Robotics and Interaction Lab
Robotics, Brain and Cognitive Sciences Department
Italian Institute of Technology
===========================================================
In the spirit of the doctoral School on Bioengineering and Robotics the PhD
Program for the curriculum ?Cognitive Robotics, Interaction and
Rehabilitation Technologies? provides interdisciplinary training at the
interface between technology and life-sciences. The general objective of the
program is to form scientists and research technologists capable of working
in multidisciplinary teams on projects where human factors play a crucial
role in technological development and design. Robotics and neuroscience
researchers in RBCS share, as a fundamental scientific objective, the study
of physical and social interaction in humans and machines (
www.iit.it/rbcs ).
Among the different research themes proposed I would like to advertise these
topics:
? Visual cues for mutual understanding in human-robot interaction
? Computational Neuroscience models for auditory aware robots
? Transferring of human-robot interaction competencies: towards robot
symbiosis in the acquisition of new skills
? Cyber-physical social security applied to emergent innovative
technologies
The ideal candidates are students with a higher level university degree
willing to invest extra time and effort in blending into a multidisciplinary
team composed of neuroscientists, engineers, psychologists, physicists
working together to investigate brain functions and realize intelligent
machines, rehabilitation protocols and advanced prosthesis.
International applications are encouraged and will receive logistic support
with visa issues, relocation, etc.
Below you can find more details related to the positions and the
instructions on how to apply
=======================================================================
Application deadline: *****12 June 2018, Noon, Italian time*****
=======================================================================
===============
Themes
===============
Visual cues for mutual understanding in human-robot interaction
Tutors: Alessandra Sciutti, PhD; Francesco Rea, PhD; Prof. Giulio Sandini
Institute: IIT (Istituto Italiano di Tecnologia)
Research Unit: Robotics, Brain and Cognitive Sciences
(https://www.iit.it/rbcs)
Division: Cognitive Robotics and Human-Human Interaction
Description: The ability of humans at interacting and collaborating with
each other is based on mutual understanding and is supported by a continuous
exchange of information mediated only in minimal part by language. The
majority of messages are covertly embedded in the way the two partners move
their eyes and their body. This implicit information exchange allows to
anticipate the needs and intentions of the partner. The general goal of this
project will be to provide the humanoid iCub robot with the ability to
perceive these covert visual signals sent by its human partners, as well as
becoming able to send analogous cues with its own movements.
The pipeline of the computational system includes an attentional module able
to localize the portion of the scene containing biological motion and to
extract the visual properties of the observed movements, as speed,
trajectory, acceleration. Starting from this analysis, performed by modules
already available on the robot, iCub will need to use the derived movement
features to understand its partners? actions and to decode their intentions,
needs and emotions. View-invariance will be one of the crucial aspects of
the system. Additionally, these movement features will guide the selection
of the appropriate robot behavior, to make it intuitively predictable and
legible to the partner. Robot motion planning could leverage existing tools
to design biologically plausible robot movements for the iCub.
Requirements: degree in robotics, bioengineering, computer science, computer
engineering, or related disciplines, attitude for problem solving, c++
programming. A background on computer vision and machine learning is an
asset.
References
1. Sciutti A., Mara M., Tagliasco V., Sandini G. 2018 Humanizing Human-Robot
Interaction: On the Importance of Mutual Understanding, IEEE Technology and
Society Magazine https://ieeexplore.ieee.org/document/8307144/
2. Sciutti A. & Sandini G. 2017 , ?Interacting with Robots to Investigate
the Bases of Social Interaction?, IEEE Transactions on Neural Systems and
Rehabilitation Engineering, 10.1109/TNSRE.2017.2753879
http://ieeexplore.ieee.org/document/8068256/
3. Vignolo A., Noceti N., Rea F., Sciutti A., Odone F. & Sandini G. 2017,
?Detecting biological motion for human-robot interaction: a link between
perception and action?, Frontiers in Robotics and AI, 4.
http://journal.frontiersin.org/article/10.3389/frobt.2017.00014/full
4. Sandini G., Sciutti A. & Rea F. (2018) ?Movement-based communication for
humanoid-human interaction?. In: Section: Human-Humanoid Interaction,
Humanoid Robotics: a Reference
Contacts: alessandra.sciutti at iit.it, francesco.rea at iit.it,
giulio.sandini at iit.it - Applicants are strongly encouraged to contact the
perspective tutors before they submit their application.
============================================================================
=============================
Computational Neuroscience models for auditory aware robots
Tutors: Francesco Rea, PhD; Prof. Giulio Sandini
Institute: IIT (Istituto Italiano di Tecnologia)
Research Unit: Robotics, Brain and Cognitive Sciences
(https://www.iit.it/rbcs)
Division: Cognitive Robotics and Human-Human Interaction
Description: Selective attention is fundamental to any living being as a
prerequisite for action performance and social interaction. The process of
visually shifting attention on task-relevant targets has been studied
extensively in cognitive neuroscience and implemented computationally for a
variety of real-word problems. However multisensory attention has been only
partially exploited despite the evident advantages in attentional orienting
and explicit communication (speech) understanding in social realistic
contexts. The PhD program will implement a novel computational neuroscience
models of auditory processing by endowing the humanoid robot iCub with
auditory awareness in an unstructured acoustic world. In detail, iCub will
1) show proactive attention toward relevant salient sound sources, 2)
generate motor-control and integrate sensor input across successive
movements to reinforce the interpretation of the scene, and 3) provide a
reliable and novel speech recognition system [1],[2]. The activities carried
out in collaboration with with department of computational neuroscience at
University of Lethbridge (Alberta, Canada) aim: a) to consolidate audio
attention system in the existing robotics setup iCub[3]; b) to enable
experimentation involving ecological interaction with human subjects; c) to
enhance the existing multimodal attention system; d) to provide
deep-learning models of speech recognition based on DNNs; e) to integrate
the outcome in the iCub cognitive architecture [4].
Requirements: degree in robotics, bioengineering, computer science, computer
engineering, or related disciplines, attitude for problem solving, c++
programming. A background on machine learning is an asset.
References:
1. Mosadeghzad M., Rea F., Tata M., Brayda L. & Sandini G. 2015, ?Saliency
Based Sensor Fusion of Broadband Sound Localizer for Humanoids?, 2015 IEEE
International Conference on Multisensor Fusion and Information Integration
(MFI 2015), San Diego, CA, USA, September 14-16, 2015;
2. Ilievski M., Rea F.IIT, Sandini G., Tata M., ?A Binaural Beamforming
Approach to Resolve Complex Auditory Scenes for Humanoid Robots? 2017
IEEE/RSJ International Conference on Intelligent Robots and Systems,
Vancouver, BC, Canada, September 24-28, 2017
3. Rea F., Sandini G., Metta G., ?Motor biases in visual attention for a
humanoid robot?, IEEE-RAS International Conference on Humanoid Robots, vol.
2015-February, pp. 779-786
4. Mohan V, Sandini G, Morasso P. (2014), ?A neural framework for
organization and flexible utilization of episodic memory in "cumulatively"
learning baby humanoids?, Neural Computation 26(12), 2692-2734, MIT Press
Contacts: francesco.rea at iit.it , giulio.sandini at iit.it - Applicants are
strongly encouraged to contact the perspective tutors before they submit
their application.
============================================================================
=============================
Transferring of human-robot interaction competencies: towards robot
symbiosis in the acquisition of new skills
Tutor: Jacopo Zenzeri, PhD; Alessandra Sciutti, PhD; Francesco Rea, PhD
Institute: IIT (Istituto Italiano di Tecnologia)
Research Unit: Robotics, Brain and Cognitive Sciences
(https://www.iit.it/rbcs)
Division: Motor Learning, Assistive and Rehabilitation Robotics & Cognitive
Robotics and Human-Human Interaction
Description: In the recent years many studies focused on how to optimize
human-robot collaboration tasks. Here we focus on a fundamental case where a
human agent has to learn how to use a tool while collaborating with an
expert humanoid robot agent which, in this case, plays the active role of
maximizing the learning of the human. In this new perspective the process
will proceed in two steps: 1) the humanoid robot acquire the knowledge of
the collaborative tasks and becomes the ?robot teacher? by interacting
(through the tool) with an expert human; 2) the na?ve human interact
(through the tool) with the ?robot teacher? in order to learn the task in an
optimal way.
Behavioral experiments on motor learning will be conducted using haptic
interfaces to study motor control mechanisms and how motor control
strategies emerge during the interaction with specific set of tools. This
activity is based on recent studies on dyadic interaction [1-2] and will
contribute to define human inspired models of interaction. The model is
transferred to the humanoid agent to acquire the human expert knowledge (in
step 1) and to teach it to the na?ve one (in step 2). Behavioral experiments
will then be conducted with the humanoid robot iCub to implement real use
cases. In this context, the proactive role of the iCub will enrich existing
cognitive framework for human robot interaction. The candidate will also
exploit measure of engagement in the task (attentional level, cognitive load
and fatigue).
Requirements: a master degree in Bioengineering, Computer Science or
equivalent, with experience in the analysis and modeling of human movements
and in robot programming.
References:
1. Avila-Mireles, E.J. et al., 2017. Skill learning and skill transfer
mediated by cooperative haptic interaction. IEEE Transactions on Neural
Systems and Rehabilitation Engineering, 25(7), pp.832?243.
2. Galofaro, E., Morasso, P. & Zenzeri, J., 2017. Improving motor skill
transfer during dyadic robot training through the modulation of the expert
role. In IEEE International Conference on Rehabilitation Robotics. London.
3. Vignolo A., Noceti N., Rea F., Sciutti A., Odone F. & Sandini G. 2017,
?Detecting biological motion for human-robot interaction: a link between
perception and action?, Frontiers in Robotics and AI, 4.
Contacts: jacopo.zenzeri at iit.it alessandra.sciutti at iit.it
francesco.rea at iit.it - Applicants are strongly encouraged to contact the
perspective tutors before they submit their application.
============================================================================
=============================
Cyber-physical social security applied to emergent innovative technologies
Tutor: Francesco Rea, Stefano Bencetti
Institute: IIT (Istituto Italiano di Tecnologia)
Department: ICT/ Robotics, Brain and Cognitive Sciences
(https://www.iit.it/rbcs)
Description: The field of cyber security is a fast-growing discipline that
impacts on the interaction between people and technology. Even though the
effectiveness of security measures to protect personal data is increasing,
people remain susceptible to manipulation and thus the human element remains
the weakest link. Social engineering. Such weakness is often is exploited by
the use of various manipulation techniques aiming at the disclosure of
sensitive information, namely social engineering. The field of social
engineering is still in its early stages however the interaction between
individuals and new technologies ( assistive robotics, robot companion) and
new ways of working (smart working) might be exposed to yet unknown risks
associated with the misuse of protected data only partially addressed by
traditional computer security.
The overall aim of the project is to investigate how to prevent disclosure
of sensitive information applied to the areas where humans use
interconnected technologies (e.g. :robotics, IOT, Big Data Analytics
systems) especially in the context of human machine interactions (e.g.:
robot companion, assistive robotics, home assistance, etc.). The aim unfolds
into two goals for the candidate. First, the ideal candidate is required to
develop algorithms of human machine interaction that adapts to the person.
The technology autonomously decides what sensitive information is acquired
from the person in relation to the specific objective of the interaction
(medical assessment, adaptation to user`s needs, etc). For example, the
assistive robot autonomously adapts the data acquisition strategy to the
goal of improving the provided assistance without the acquisition of
personal data, which is irrelevant to the assistance. The second goal is to
improve the robustness and high integrity of system architectures
(cyber-physical security) adopted for above-mentioned cutting-edge
technologies. The solutions defined by the candidate can also help the
security risk management and the analysis of social engineering threats.
As outcome of the project, such methodologies will be concretely applied to
innovative applications designed at the Istituto Italiano di Tecnologia in
collaboration with the robotic labs of the institute to make the
applications socially aware and socially acceptable.
Requirements: a degree in Computer Science with high interests in life
sciences. Programming skills, familiarity with social network
Contacts: francesco.rea at iit.it stefano.bencetti at iit.it - Applicants are
strongly encouraged to contact the perspective tutors before they submit
their application.
===============
How to apply
===============
Please note that the positions are available through the PhD course of
Bioengineering and Robotics, curriculum on Cognitive Robotics, Interaction
and Rehabilitation Technologies, offered jointly by IIT and the University
of Genoa.
The official calls are available here:
https://www.iit.it/phd-school/phd-school-genoa under the Curriculum
?Cognitive Robotics, interaction and rehabilitation technologies?.
Please have a look at the "ADMISSION GUIDE" section, which contains detailed
instructions on how to apply and a list of documents you have to present.
In particular, note that the preparation of a short project proposal is
required and is important in the evaluation of prospective candidates.
Please find here a template (PDF) :
http://phd.dibris.unige.it/biorob/media/Template%20for%20Research%20Project_
v2.0.pdf
The link to the on-line application page is:
https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/EN/
In case of problems or questions related to the application procedure,
please contact:
anastasia.bruzzone at iit.it
============================================================
Application deadline: *****12 June 2018, Noon, Italian time******
============================================================
----------------------------------------
Alessandra Sciutti (PhD)
Researcher, Robotics Brain and Cognitive Sciences Unit
Istituto Italiano di Tecnologia
Center for Human Technologies
Via Enrico Melen 83, Building B
16152 Genova, Italy
tel: +39 010 8172 210
email: alessandra.sciutti at iit.it
website:
https://www.iit.it/people/alessandra-sciutti
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From tj at cs.cornell.edu Tue May 22 16:02:42 2018
From: tj at cs.cornell.edu (Thorsten Joachims)
Date: Tue, 22 May 2018 20:02:42 +0000
Subject: Connectionists: CFP: Offline Evaluation for Recommender Systems @
RecSys 2018
Message-ID:
REVEAL 2018: Offline Evaluation for Recommender Systems
Workshop at ACM RecSys 2018, Vancouver, CA
October 7, 2018
https://sites.google.com/view/reveal2018/home
One of the main goals of offline metrics for recommender systems is to indicate the future online performance of the same recommender system in an online setting, as measured by various user-based utility metrics, such as the time spent by a user on the website, the number of media items consumed, the number of attributed sales or the reported user satisfaction. However, practitioners often observe significant differences between offline and online results of a new algorithm, and therefore tend to mostly rely on online methods such as A/B testing to evaluate their algorithms.
To this end, we welcome contributions that advance the current state of knowledge on offline recommendation metrics that correlate well with the final performance of the online recommender system; or new recommendation algorithms that directly optimize for online metrics.
We invite submissions of 2-8 pages to be presented as talks or posters. The reviews will be single-blind.
Potential contributions include (but are not limited to):
* Framing the problem: what are we trying to solve exactly? This includes work on the theoretical foundations of the recommendation task and on the corresponding offline metrics:
* Recommendation as a counterfactual inference problem. This encompasses all work on new offline metrics and new optimization criteria for recommendation using ideas from causal inference, such as: Learning from data Missing Not at Random (MNAR), Counterfactual Risk Minimization (CRM) and Batch Learning from Bandit Feedback (BLBF), Deconvolving recommendation-lead from organic feedback in logged data, Causal Inference using domain adaptation
* Recommendation as a reinforcement learning problem. This is aimed to all work that frames recommendation as a reinforcement learning task and that borrows ideas from RL on evaluating recommendation policies, such as the use of simulation in recommender systems evaluation.
* Studies on offline-online metrics correlation for Recommendation.
* More realistic offline metrics.
* Offline metrics for slate recommendation evaluation.
* Offline metrics for logged data with sequential recommendation exposure and delayed feedback.
* Datasets and toolkits.
* New exploration schemes to improve the collection of more informative offline datasets.
* Open datasets. All recommendation dataset releases that aim to somehow bridge the gap between offline and online metrics.
* Toolkits. Including new software for evaluation metrics, reproducible research and baseline algorithms.
Submission deadline: July 28th, 2018 via our CMT website.
---
Thorsten Joachims
Chair, Department of Information Science
Professor, Department of Computer Science
Cornell University
http://www.joachims.org/
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From Tomislav.Milekovic at unige.ch Wed May 23 06:21:38 2018
From: Tomislav.Milekovic at unige.ch (Tomislav Milekovic)
Date: Wed, 23 May 2018 10:21:38 +0000
Subject: Connectionists: Postdoctoral Position in Brain-Computer Interfaces
Message-ID: <5e519806460740db8bcd726c0377c7e4@unige.ch>
The research group Dr. Tomislav Milekovic at the University of Geneva is offering a postdoctoral position financed by the Wyss Center for Bio and Neuroengineering and the Swiss National Science Foundation to work on restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-computer interfaces. The successful applicant will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings.
The ideal candidate will have:
1. Experience in assembling and maintaining brain-computer interface systems
2. Leading brain-computer interface experiments with human or animal subjects
3. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes)
4. Background in computational/theoretical neuroscience, physics or mathematics
5. Experience in developing and using neural decoders
6. Experience in C/C++ software development
The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking among the highest in the world.
Applications including a CV and the statement of research interests should be sent to tomislav.milekovic at unige.ch.
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From benoit.frenay at unamur.be Wed May 23 06:37:29 2018
From: benoit.frenay at unamur.be (Benoit Frenay)
Date: Wed, 23 May 2018 12:37:29 +0200
Subject: Connectionists: PhD positions at University of Namur
Message-ID:
*** Several PhD studentships are available on ***
*** Software engineering and software quality assurance for learning
systems ***
University of Namur // Namur Digital Institute (NADI)
Supervisors: Patrick Heymans, Pierre-Yves Schobbens, Beno?t Frenay and
Gilles Perrouin.
The studentships are available immediately. Applications are
continuously reviewed until positions are filled.
Positions involve developing and studying solutions to improve the
engineering and quality assurance (testing, verification...) of software
that?learns and adapts its behavior accordingly. The successful
candidates will join the stimulating research environment provided by
NADI and the?VeriLearn project, an ambitious inter-university project
funded by the Belgian research foundations (FNRS and FWO) and conducted
jointly?with KUL (team of Luc De Raedt) and ULB (team of Jean-Fran?ois
Raskin).
We are looking for motivated candidates, determined to graduate within 4
years and to publish their results in the best conferences and
journals.?Candidates should hold a Master or Engineering degree in
Computer Science, or equivalent. They should have affinity with one or
more of the?following topics: software engineering, quality assurance
(testing, verification...), formal methods and machine learning.
PhD students earn between 1.900 and 2.000 EUR net salary per month.
Positions are based in Namur, Belgium. Namur is the capital of Wallonia,
the french-speaking region of Belgium. ?It is a charming and
affordable?midsize city situated 45 min south from Brussels and within 3
hours from the Paris, London, Amsterdam and Bonn.
For more information on the research and the position, please contact
patrick.heymans at unamur.be , including
a copy of your CV if possible.??Formal applications require providing
(1) a full CV (including a publication list if any), (2) a cover letter
of max 2 pages describing your skills,?experience, and why you are well
suited to the position, (3) a transcript with the grades obtained for
each course you took on each university?year, (4) optional
recommendation letters (up to three). Please use ?'VERILEARN
APPLICATION'? as the subject of your email.
We promote diversity in employment and welcome applications from all
sections of the community.
--
Beno?t FR?NAY
Associate Professor
Faculty of Computer Science
T. +32 (0)81 724 976 (secr. 725 252)
F. +32 (0)81 724 967
benoit.frenay at unamur.be
Universit? de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur
Let?s respect the environment together.
Only print this message if necessary!
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From vishal.pup at gmail.com Wed May 23 08:05:29 2018
From: vishal.pup at gmail.com (=?UTF-8?B?VmlzaGFsIEdveWFsKOCkteCkv+CktuCkvuCksiDgpJfgpYvgpK/gpLIp?=)
Date: Wed, 23 May 2018 17:35:29 +0530
Subject: Connectionists: ICON-2018: First CFP - Paper Submission deadline
July 15, 2018
Message-ID:
***Apologies if you have received multiple copies of this CFP***
http://www.icon2018.in/
============================================
ICON 2018 : 15th International Conference on Natural Language Processing
Punjabi University, Patiala, India
15th - 18th December, 2018
Welcome to ICON 2018, Organized by:
NLP Association, India
IIIT, Hyderabad
Punjabi University, Patiala
Linguistic Data Consortium for Indian Languages, CIIL, Mysore
============================================
CALL FOR PAPERS
The 15th International Conference on Natural Language Processing
(ICON-2018) will be held at Punjabi University, Patiala during December
15-18, 2018. The ICON Conference series is a forum for promoting
interaction among researchers in the field of Natural Language Processing
(NLP) and Computational Linguistics (CL) in India and abroad. The main
conference is on December 16-17, 2018. This will be preceded by one day of
pre-conference tutorials on December 15, 2018 and one day of post
conference workshops on December 18, 2018.
Papers in ICON proceedings will be indexed in ACL Anthology. ACL Anthology
is a digital archive of research papers in Computational Linguistics for
major international conferences under Association for Computational
Linguistics (ACL), which is one of the most well-known associations for NLP
and CL. The previous proceedings of ICON 2014, ICON 2015, ICON2016, and
ICON 2017 can be found in ACL Anthology.
TOPICS
Papers are invited on substantial, original and unpublished research on all
aspects of Natural Language Processing, with a particular focus on South
Asian languages and other less resourced languages, issues, and
applications relevant to South Asia. Papers on other languages of the world
are also invited. The areas of interest include, but are not limited to:
Phonology
Morphology
Syntax
Semantics
Discourse
POS Tagging
Parsing
Word Sense Disambiguation
Machine Translation/Statistical Machine Translation
Pragmatics
Computational or Quantitative Psycholinguistics
Statistical Methods
Knowledge-based Methods
Annotation and Annotated Corpora
Lexical Resources
Ontology
Sentiment Analysis
Machine Learning in NLP
NLP-based Recommendation Systems
Performance Evaluation of NLP Systems
Information Retrieval
Information Extraction
Automatic Text Summarization
Question Answering
Natural Language Generation
Dialog Systems
Speech Corpora
Speech Recognition
Speech Synthesis
NLP for Language Documentation and Preservation
NLP for Educational Purposes
NLP for Digital Humanities
Social Media Analytics
The authors have to submit papers under any of the areas mentioned above
and must mark the topic(s) of their paper at the time of submission.
FORMAT OF SUBMISSION
Papers in English, not exceeding 8 pages, should be submitted on the ONLINE
PORTAL at Microsoft CMT. Papers should include an abstract of about 100-200
words. Please follow the paper submission template details described in
next section.
There are two tracks: one for the main conference and one for the Student
Paper Competition. You should select one of these while submitting the
paper (not both). Similarly, Choose NLP Software Contest option for sending
abstract for it.DOUBLE BLIND REVIEW:
Papers in electronic form in the PDF format, anonymous for double blind
review, should be submitted. If your paper contains text of languages other
than English, all the non English text should be in Unicode only.
Paper Submission Template
Submission is electronic, using the Microsoft CMT. The submission site is
open at:
https://cmt3.research.microsoft.com/ICON2018
Long/short paper submissions must use the official ACL 2018 style
templates. Long papers must not exceed eight (8) pages of content. Short
papers must not exceed four (4) pages of content. References do not count
against these limits.
LaTeX (acl_natbib.bst updated 18th February)
Microsoft Word
Style files were updated on 14th April, 2018 to clarify the location of
supplementary material. All submissions must be in PDF format and must
conform to the official style guidelines, which are contained in these
template files.
Templates links
acl2018.org/downloads/acl18-latex.zip
acl2018.org/downloads/acl_natbib.bst
acl2018.org/downloads/acl18-word.zip
CALL FOR TUTORIALS/WORKSHOPS
Proposals are invited for pre-conference tutorials/workshops.
Tutorials/Workshops can be of half-day or full-day duration. The proposal
should be presented in the form of a 200-word abstract, one page topical
outline of the content, description of the proposers and their
qualifications relating to the tutorial content.
Workshops on linguistic aspects of South Asian languages are also welcome.
Send tutorial/workshop proposals to the ICON-2018 Secretariat by email
iconnlp at pbi.ac.in . For further information, please refer to the Conference
URL or contact the ICON-2018 Secretariat.
NLP Software Contest
The NLP Software contest, which is being held for first time in ICON, is
intended to encourage and promote the development of NLP related software.
The researchers, software developers and educators working in development
of NLP software are invited to participate in the contest, by submitting a
one page abstract of their software. Only independently running complete
systems are eligible for the contest. Small Modules or tools developed for
NLP Research or integration with larger systems will not be considered.
Entries will be selected for inclusion in the conference program based on
peer-review. The criteria for judging submissions include broad
applicability and potential impact, novelty, technical depth, demo
suitability, and other miscellaneous factors. Authors of selected entries
will be invited to present and demonstrate their software in a special
session in the conference program. To encourage the development of NLP
software, the best three software entries, as judged by reviewers and the
program committee, will be awarded cash prize as follows:
FIRST PRIZE: Rs.10,000/-
SECOND PRIZE: Rs.7,500/-
THIRD PRIZE: Rs.5,000/-
The abstracts for this contest may be submitted at
https://cmt3.research.microsoft.com/ICON2018
For any clarifications, contact NLP Software Contest Chair.
STUDENT PAPER COMPETITION IN LANGUAGE TECHNOLOGIES
ICON-2018 announces STUDENT PAPER COMPETITION in two tracks:
Track I : NLP (All areas)
Track II : Linguistics (Morphology, Syntax and Semantics)
Papers may be submitted under the link on the web page. Prizes will be
awarded in each track based on original work carried out. The prizes are:
FIRST PRIZE: Rs.10,000/-
SECOND PRIZE: Rs.7,500/-
THIRD PRIZE: Rs.5,000/-
The short-listed papers in each track will be invited for presentation in a
special session in the conference. Registration, domestic travel and
subsistence expenses will be provided by the conference organizers for one
author of each paper. Up to two winners will be offered summer fellowships
at major NLP Centres in India. For any clarifications, contact Student
Paper Competition Chair on iconnlp at pbi.ac.in
IMPORTANT DATES
Paper Submission Deadline July 15, 2018
Paper Acceptance Notification Oct 1, 2018
Camera Ready Copy Submission Oct 25, 2018
Tutorial/Workshop Proposals Submission July 25, 2018
Tutorial/Workshop Acceptance Notification Aug 15, 2018
NLP Software Contest Submission Deadline July 15, 2018
NLP Software Contest Acceptance Notificaton Aug 15, 2018
Student Paper Competition Submission Deadline July 15, 2018
Student Paper Acceptance Notification Oct 1, 2018
COMMITTEES
Conference General Chair
Rajeev Sangal, IIT-BHU, Varanasi, India
Programme Chair
Gurpreet Singh Lehal, Punjabi University, Patiala, India (Chair)
Dipti Misra Sharma, IIIT Hyderabad, India (Co-Chair)
NLP Software Contest
M. D. Kulkarni, CDAC Pune, India (Chair)
Rajeev R.R., ICFOSS Trivendrapuram, India (Co-Chair)
Student Paper Competition
Sanjay Dwivedi, BBAU (Central University Lucknow), India (Chair)
Sarika Jain, NIT Kurukshetra, India (Co-Chair)
Organizing Committee
Vishal Goyal, Punjabi University Patiala, India
Gurpreet Singh Joshan, Punjabi University Patiala, India
Tejinder Singh Saini, Punjabi University Patiala, India
Ankur Rana, Punjabi University Patiala, India
CONTACT INFORMATION
ICON-2018 Secretariat
Research Centre for Punjabi Language and Technology
Punjabi University, Patiala
Punjab, Pin-147002, India
Mobile: +91-98154-73767 (Dr. G. S. Lehal),
+91-95010-96111 (Dr. Vishal Goyal),
e-mail: iconnlp[AT]pbi[dot]ac[dot]in
URL: http://www.icon2018.in
--
*Regards,*
Vishal Goyal,
Ph.D., M.Tech., MCA, M.C.S.D.
Associate Professor(Stage IV),
Department of Computer Science,
Punjabi University Patiala-147002.
***************************************************************************************************************************************
*Forthcoming Conference - http://www.icon2018.in *
*Theory Of Computation Video Lectures on YouTube:* https://www.youtube.
com/channel/UCWkhzvxKuJ5G2SF2opeGngg
*Book: A Simplified Approach to Data Structures, Shroff Publications and
Distributors*
http://www.shroffpublishers.com/detail.aspx?title=6163
*Machine Translation Systems:*
[*Online Hindi to Punjabi Machine Translation Tool -*
http://h2p.learnpunjabi.org ]
[*Statistical Approach Based Hindi to Punjabi Machine Translation System *
- http://statmt.org/~vishal/hp/index.cgi
- http://tdil-dc.in/hi2pu/index.cgi
]
*Editor-in-Chief : [Research Cell: An International Journal of Engineering
Sciences, http://ijoes.vidyapublications.com
]*
************************************************************
*************************************************************
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From mathis.richter at ini.rub.de Wed May 23 09:17:30 2018
From: mathis.richter at ini.rub.de (Mathis Richter)
Date: Wed, 23 May 2018 15:17:30 +0200
Subject: Connectionists: Summer school 2018 - Neural dynamics for cognitive
robotics
Message-ID:
Just a reminder that the deadline for applications to our summer school is
next week on June 1, 2018!
Please forward this advertisement to whoever you think might be interested.
Thanks, Mathis Richter
---
Summer School on:
NEURONAL DYNAMICS FOR COGNITIVE ROBOTICS
held September 10-14, 2018 at the Institute for Neural Computation,
Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner.
Neuronal dynamics provide a powerful theoretical language for the design
and modeling of embodied and situated cognitive systems.
This school provides a hands-on and down-to-earth introduction to neuronal
dynamics ideas and enables participants to become productive within this
framework.
The school is aimed at advanced undergraduate or graduate students,
postdocs and faculty members in embodied cognition, cognitive science, and
robotics.
The school combines tutorial lectures in the mornings with hands-on
projects working with robotic systems.
Participants will develop their own modeling project, which will connect to
their ongoing doctoral or postdoctoral research.
Topics addressed include neural dynamics, attractor dynamics and
instabilities, dynamic field theory, neuronal representations, artificial
perception, simple forms of cognition including detection and selection
decisions, memory formation, learning, and grounding relational concepts.
For more information see: https://www.dynamicfieldtheory.org/summerschool
To apply, please send a CV and a short cover letter with background and
motivation to
mathis.richter at ini.rub.de
Selection of participants will begin by June 1, 2018.
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From george at cs.ucy.ac.cy Wed May 23 08:55:57 2018
From: george at cs.ucy.ac.cy (George Angelos Papadopoulos)
Date: Wed, 23 May 2018 15:55:57 +0300
Subject: Connectionists: 21st International Conference on Discovery Science
(DS 2018): Second Call for Papers
Message-ID: <44729245-7524-422B-AA8A-E501E396AAC0@cs.ucy.ac.cy>
*** SECOND CALL FOR PAPERS ***
21st International Conference on Discovery Science (DS 2018)
St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018
http://www.cyprusconferences.org/ds2018
(*** In conjunction with ISMIS 2018 ***)
WELCOME
The 21st International Conference on Discovery Science (DS 2018) provides
an open forum for intensive discussions and exchange of new ideas among
researchers working in the area of Discovery Science.
The scope of the conference includes the development and analysis of
methods for discovering scientific knowledge, coming from machine
learning, data mining, intelligent data analysis, big data analysis as well as
their application in various scientific domains.
We welcome papers that focus on the analysis of different types of massive
and complex data, including structured, spatio-temporal and network data.
We particularly welcome papers addressing applications. Finally, we would
like to encourage contributions from the areas of computational
scientific discovery, mining scientific data, computational creativity and
discovery informatics.
DS 2018 will be co-located with ISMIS 2018, the 24th International
Symposium on Methodologies for Intelligent Systems. The two conferences
will be held in parallel, and will share their invited talks.
TOPICS
We invite submissions of research papers addressing all aspects of
discovery science. We particularly welcome contributions that discuss the
application of data analysis, data mining and other support techniques for
scientific discovery including, but not limited to, biomedical, astronomical
and other physics domains. Applications to massive, heterogeneous,
continuous or imprecise data sets are of particular interests. Possible topics
include, but are not limited to:
? Knowledge discovery, machine learning and statistical methods
? Ubiquitous knowledge discovery
? Data streams, evolving data and models
? Change detection and model maintenance
? Active knowledge discovery
? Learning from text and web mining
? Information extraction from scientific literature
? Knowledge discovery from heterogeneous, unstructured and
multimedia data
? Knowledge discovery in network and link data
? Knowledge discovery in social networks
? Data and knowledge visualization
? Spatial/temporal Data
? Mining graphs and structured data
? Planning to learn
? Knowledge transfer
? Computational creativity
? Human-machine interaction for knowledge discovery and management
? Biomedical knowledge discovery and analysis
? Machine learning for high-performance computing, grid and
cloud computing
? Applications of the above techniques to natural or social sciences
PAPER SUBMISSION
Papers may contain up to fifteen (15) pages and must be formatted
according to the layout supplied by Springer-Verlag for the Lecture Notes
in Computer Science series. Submitted papers may not have appeared in or
be under consideration for another workshop, conference or a journal,
nor may they be under review or submitted to another forum during the DS
2018 review process
Authors can submit their papers electronically via our submission page
through Easychair: https://easychair.org/conferences/?conf=ds20180 .
PUBLICATION AND JOURNAL SPECIAL ISSUES
The DS 2018 proceedings will be published by Springer in LNAI
(Lecture Notes in Artificial Intelligence) and will be available at the
conference.
Authors of best papers will be invited to submit their extended versions to
the Machine Learning journal (https://link.springer.com/journal/10994)
published by Springer. Fast Track Processing will be used to have them
reviewed and published.
IMPORTANT DATES
? Paper Submissions due: 18th June 2018
? Notification of Acceptance/Rejection: 18th July 2018
? Camera-Ready Versions of Accepted Papers: 28th July 2018
? Author Registration: 31st Juy 2018
? Early Non-Author Registration: 10th September 2018
? Late Non-Author Registration: after 10th September 2018
ORGANIZING COMMITTEE
General Chair
? George Angelos Papadopoulos (University of Cyprus, Cyprus)
Program Committee Co-Chairs
? Larisa Soldatova, Goldsmiths, University of London, UK
? Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands
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From Pavis at iit.it Wed May 23 12:23:03 2018
From: Pavis at iit.it (Pavis)
Date: Wed, 23 May 2018 16:23:03 +0000
Subject: Connectionists: Fellow position in PAVIS on automatic visual
inspection - [ Fellow ] 75380
In-Reply-To: <60225cd4495b431eb9848de6af36951e@iit.it>
References: <60225cd4495b431eb9848de6af36951e@iit.it>
Message-ID: <9ca9aaef310547098d41ba1a79204b49@iit.it>
Fellow position in PAVIS on automatic visual inspection - [ Fellow ]
Workplace: Genova, IIT, Italy
Added on: 23/05/2018 - Expires on: 15/06/2018
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for qualified applicants with a background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, classification, video analysis, etc.).
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects from optical, as well as other sensory modality data. This implies the development of novel algorithms for detection, classification and quality control that discriminate explicitly the anomaly in the object to be controlled. In particular, this new inspection problem will require the study of different types of features and the use of deep learning approaches is envisaged. This project will be carried out in collaboration with a major industrial partner.
PAVIS is opening a research fellow position with expertise/experience in Computer Vision, Pattern Recognition or related areas, and research experience and qualification should follow the same lines. Candidates should have good programming skills in C/C++ and Matlab and a general knowledge of computer vision and machine learning approaches. Knowledge of deep learning frameworks (e.g., TensorFlow, Caffe, etc.) is also welcome.
He/she is expected to publish his/her research results in leading international journals and conferences and collaborate with other researchers.
Salary will be commensurate with qualification and experience and in line with international standards.
Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS- BC 75380 as the reference number.
Please send your application, including a CV and a brief description of research interests and main accomplishments, to pavis at iit.it quoting ?Fellow PAVIS position 75380? in the email subject.
This call will remain open and applications will be reviewed until the position is filled, but please apply by June 15th, 2018.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies.
In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data.
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it).
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
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