From sci at maguilera.net Fri Sep 1 02:56:17 2023
From: sci at maguilera.net (Miguel Aguilera)
Date: Fri, 1 Sep 2023 08:56:17 +0200
Subject: Connectionists: Postdoc position in Bilbao on open-ended network
self-organization
Message-ID: <5d682a95-6fb5-2b0d-206a-2fd7104ed8b7@maguilera.net>
Hi all,
We are offering one postdoc position on self-organized network modelling
at the Basque Center for Applied Mathematics in Bilbao (Basque Country,
Spain) under the supervision of MIguel Aguilera.
DETAILS: **Postdoctoral Fellow on open-ended, self-organized,
bio-inspired networks**
Topics: One of the outstanding challenges in modelling living and
cognitive systems is to capture their ability to continuously adapt and
develop. Our behavioural responses are not fixed but driven instead by a
complex ecology, composed of myriads of fluid and inconspicuous
neurodynamical patterns that have slowly grown on us. AI models like
neural networks can capture complex behaviours, but often this
open-ended, liquid and ongoing reconfiguration is incredibly challenging
to reproduce with static topologies. In contrast, liquid neural networks
(or 'liquid brains') are a widespread class of networks with a
particular feature: nodes (which may represent 'neurons' or 'agents' and
typically all share identical rules) not only process information from
neighbour nodes, but they also dynamically modify their network
connections, e.g. by moving in space. These networks show how
neural-like processing typically associated with static physiological
networks can also emerge from fluid collective interaction, dynamically
exploring configuration spaces beyond standard connection weight
changes. Examples of this kind of model include collective
decision-making and fluctuations in ant colonies or idiotypic cascades
in immune networks.
Objective: The aim of this project is to develop a theory of learning in
liquid brains, focused on two aspects: 1) How do liquid brains learn?
How is this process different from static neural networks?, and 2) what
is the adaptive potential of liquid brains when they are embodied as an
agent in interaction with a changing external environment? Answering
these questions has the potential to extend the idea of liquid brains
from a theoretically deep and intriguing concept to a useful tool
available to the machine learning community. Specifically, liquid brains
could afford more open-ended, self-improving systems, exploiting fluid
reconfiguration of nodes as an adaptive dimension which is generally
unexplored. This could also allow modes of learning that avoid
catastrophic forgetting, as reconfigurations in the network are based on
reversible movement patterns. In terms of technology transfer, this
advances can also have important implications for new paradigms like
edge computing.
PI in charge: Miguel Aguilera
Salary and conditions: The gross annual salary of the Fellowship will be
29.120? - 35.360? according to experience. Additionally, we offer a
moving allowance up to 2.000?. Should the researcher have a family at
the time of recruitment: 1. 2.000? gross in a single payment will be
offered (you must be married-official register or with children and the
certificate to prove it must be sent). 2. 1.200? gross per year/per
child (up to 2 children) will be offered (the certificate to prove it
must be sent).
Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET
How to apply: Applications must be submitted on-line at:
https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-ended-self-organized-bio-inspired-networks
**Scientific Profile Requested**
Requirements: PhD in Physics, Engineering, Computer Science, Maths,
Artificial Intelligence, Computational Neuroscience and related fields.
Skills and track-record:
* Modelling experience with complex or neural network models, e.g.
Hopfield networks, Ising models, Boltzmann machines, sandpile models,
flock/swarm/insect colony models.
* Solid programming skills
* Analytical study of stochastic processes
* Demonstrated ability to work independently and as part of a
collaborative research team.
* Ability to present and publish research outcomes in spoken (talks) and
written (papers) form.
* Fluency in spoken and written English.
Scientific Profile:
The preferred candidate will have:
* Strong background in complex systems, neural network modelling,
biophysics, information theory and/or statistical mechanics
* Interest to work in interdisciplinary research projects
Application and Selection Process Formal Requirements: The selected
candidate must have applied before the application deadline online at
the webpage https://joboffers.bcamath.org/ The candidates that do not
fulfil the mandatory requirements will not be evaluated with respect to
their scientific profile. Additional documents could be requested during
the evaluation process so as to check this fulfilment.
Application: Required documents:
* CV
* Letter of interest
* 2 recommendation letters
* Statement of past and proposed future research (2-3 pages)
Evaluation: Based on the provided application documents of each
candidate, the evaluation committee will evaluate qualitatively: the
adaption of the previous training and career to the profile offered, the
recommendation letters, the main results achieved (papers, proceedings,
etc.), the statement of past and proposed future research and other
merits; taking in account the alignment of these items to the topic
offered.
Incorporation: As soon as possible
--
Miguel Aguilera | Ikerbasque Research Fellow | BCAM ? Basque Center for Applied Mathematics |https://maguilera.net
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From lorenzo.fontolan at gmail.com Fri Sep 1 08:11:42 2023
From: lorenzo.fontolan at gmail.com (Lorenzo Fontolan)
Date: Fri, 1 Sep 2023 14:11:42 +0200
Subject: Connectionists: postdoc position announcement at INMED (Marseille)
Message-ID:
An ERC-funded postdoctoral position is available in the Cossart lab at the
Mediterranean Institute of Neurobiology (INSERM, Aix-Marseille University,
Marseille, France) to work in a collaborative, interdisciplinary, and
friendly environment (by the Calanques).
The Cossart lab aims at understanding memory circuits in the brain and
describing how they develop in health and disease. To this aim, we use
cutting-edge optical, computational, and data analysis methods.
The candidate will apply their skills to extract information from our
datasets, build computational models to make predictions, and work in close
collaboration with experimentalists.
The candidate will be co-supervised by Dr. Lorenzo Fontolan, a
computational neuroscientist who recently started his research group at
Inmed. Starting date fall/winter 2023.
We especially invite applications from prospective postdocs with
backgrounds in physics, applied mathematics, and electrical engineering. To
apply, please send a CV, a short statement containing research interests
and previous experience, and two names of references with contact
information to:
*rosa.cossart at inserm.fr *and*
lorenzo.fontolan at inserm.fr
*
Lorenzo Fontolan
--
Group Leader
*Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la
M?diterran?e & Centre de Physique Th?orique Universit? Aix-Marseille,
France*
*https://www.inmed.fr/neural-computation-and-dynamics
*
*https://centuri-livingsystems.org/l-fontolan/
*
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From jorgecbalmeida at gmail.com Sat Sep 2 07:11:29 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Sat, 2 Sep 2023 12:11:29 +0100
Subject: Connectionists: =?utf-8?q?NEW_SUBMISSION_DEADLINE_=E2=80=93_SEPTE?=
=?utf-8?q?MBER_8_=28anywhere_on_earth=29!_First_edition_of_the_See?=
=?utf-8?q?ing_and_Acting_Workshop_=28SAW=29=2E_University_of_Coimb?=
=?utf-8?q?ra=2C_Portugal=2C_21-23_September_2023?=
Message-ID:
Dear colleague,
Apologies for cross-posting!
*We have postponed the submission deadline! *You still have time to
register and/or send your poster to the first edition of the *Seeing and
Acting Workshop (SAW).*
***** NEW SUBMISSION DEADLINE ? SEPTEMBER 8 (anywhere on earth)! *****
SAW will take place at the Faculty of Psychology and Educational Sciences
of the University of Coimbra, *September 21-23, 2023* in Coimbra, Portugal.
For the first edition of SAW, we have an exciting and stimulating group of
Invited Speakers:
? *Laurel Buxbaum*, Moss Rehabilitation Research Institute, USA
? *Erez Freud*, York University, Canada
? *Leyla Isik*, Johns Hopkins University, USA
? *Nancy Kanwisher*, Massachusetts Institute of Technology, USA
? *Bradford Mahon*, Carnegie Mellon University, USA
? *Alex Martin*, National Institute of Health, USA
? *Ricarda Schubotz*, University of M?nster, Germany
ABSTRACT SUBMISSION AND REGISTRATION ARE OPEN!!
*Abstract submission for posters closes on September 8, 2023*. The five
best abstracts whose first author is a student or postdoc will receive a
200 euro award sponsored by ANTneuro.
To register, submit a poster abstract, or for more information, please
visit:
https://www.uc.pt/cogbooster/saw/2023/
Please note that there are a limited number of places (~120), which will be
assigned on a first come, first served basis. To secure your place, please
register as soon as possible.
The goal of SAW is to provide a forum for cognitive science/neuroscience
researchers from a range of perspectives who are interested in Perception
and Action, broadly construed, to come together to discuss their research
and develop new directions and collaborations. The format of the workshop
is intended to encourage extensive discussion among participants. To this
end, we have scheduled only a small number of invited speakers, and there
are no concurrent talks. In addition to the individual seminars, there will
be a poster session for students, postdocs and other researchers to present
their work.
SAW is powered by the ERA Chair CogBooster
, and by the Faculty of
Psychology and Educational Sciences of
the University
of Coimbra , Portugal.
Workshop Organizers:
Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi,
Angelika Lingnau, and Isabel Pav?o Martins
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From serendipity.alvin at gmail.com Fri Sep 1 09:10:14 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Fri, 1 Sep 2023 21:10:14 +0800
Subject: Connectionists: 2023 International Conference on Edge Computing
(EDGE 2023)
Message-ID:
[Apologies if you receive multiple copies of this message]
Call For Papers
=============================================================================
CFP: International Conference on Edge Computing (EDGE 2023)
December 17 - 18, 2023
[Paper submission due: September 14, 2023]
http://theEdgeComputing.org/2023/
The International Conference on Edge Computing (EDGE) aims to become a
prime international forum for both researchers and industry practitioners
to exchange the latest fundamental advances in the state of the art and
practice of Edge computing, identify emerging research topics, and define
the future of Edge computing. EDGE covers the localized resource sharing
and connections with the cloud. Part of the SCF 2018, EDGE 2018 was
successfully held on June 25 - June 30, 2018, Seattle, USA. Part of the SCF
2019, EDGE 2019 was successfully held on June 25 - 30, 2019, San Diego,
USA. Part of the SCF 2020 and SCF 2021, EDGE 2020 and EDGE 2021 were
successfully held over the Internet. SCF 2022 was held successfully in
Hawaii, USA. In 2023, we will celebrate our 2023 version of gathering, to
strive to advance the largest international professional forum on edge
computing.
EDGE 2023 is a member of Services Conference Federation (SCF). SCF 2023
will have the following 10 service-oriented sister conferences: 2023
International Conference on Web Services (ICWS 2023), 2023 International
Conference on Cloud Computing (CLOUD 2023), 2023 International Conference
on Services Computing (SCC 2023), 2023 International Conference on Big Data
(BigData 2023), 2023 International Conference on AI & Mobile Services (AIMS
2023), and 2023 International Conference on Metaverse (Metaverse 2023),
2023 International Conference on Internet of Things (ICIOT 2023), 2023
International Conference on Cognitive Computing (ICCC 2023), 2023
International Conference on Edge Computing (EDGE 2023), and 2023
International Conference on Blockchain (ICBC 2023).
The technical program of EDGE 2023 will include a Research Track, an
Application Track, and a Short Paper Track. The EDGE 2023 tracks seeks
original, UNPUBLISHED research papers reporting substantive new work in
various aspects of edge infrastructure and applications. Research Track
papers MUST clearly indicate their contributions to the field of edge
computing technologies, applications and solutions. All papers MUST
properly cite related work in the field, such as those published in the
proceedings of ICWS, SCC, CLOUD, AIMS, SERVICES, BigData, ICIOT, ICBC,
EDGE, APSCC, ECOWS, and
==================
Important Dates
==================
- Early-birds paper submission due: September 14, 2023
- Review comments to Early-birds paper submission: September 30, 2023
- Regular paper submission due: October 8, 2023
- Review comments to Regular paper submission: October 20, 2023
- Camera ready manuscripts due: October 25, 2023
- Conference dates: December 17 - 18, 2023
==================
Topics of interest include, but are not limited to
==================
- Edge Storage
- Edge Connections
- Edge Analytics
- Edge AI
- Edge Processing Engine
- Industry-Specific Edges
- Edge Application Innovations
- 5G and Edge
- 5G and Cloud
- Edge Security, Privacy and Trust
==================
Paper Submission
==================
All submitted manuscripts will be peer-reviewed by at least 3 program
committee members. Accepted and presented papers from all EDGE tracks will
appear in the conference proceedings.
Submitted Research Track and Application Track manuscripts will be limited
to 15 (LNCS Proceedings style) pages and REQUIRED to be formatted using the
LNCS Proceedings template (WORD, Latex). Submitted Short Paper track
manuscripts will be limited to 8 (LNCS Proceedings style) pages. The
authors can extend a maximum of 2 pages for each paper but will have to pay
extra fees for each extra page. Unformatted papers and papers beyond the
maximum page limit may not be reviewed. Electronic submission of
manuscripts (in PDF or Word format) is required. Detailed instructions for
electronic paper preparation and submission, panel proposals, tutorial
proposals, workshop proposals, and review process can be found at
http://theedgecomputing.org/2023/.
The Proceedings of EDGE 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. Currently
the Abstracting and Indexing services covered by Springer's data feeds for
LNCS proceedings include ISI Conference Proceedings Citation Index
(included in Web of Science), Engineering Index EI (Compendex and Inspec
databases), DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, and ZBlMath.
For all 10 conferences of SCF 2023, the content of this proceedings volume
will be made freely accessible to anyone in the Springer's digital library
after four years upon publication.
At least one author of each accepted paper is required to register to the
conference and present the paper. One Best Paper award and one Best Student
Paper award will be granted at EDGE 2023. The first author of the best
student paper must be a full-time student. The Best Paper Awards will be
sponsored by Springer, which is a leading global scientific, technical and
medical portfolio, providing researchers in academia, scientific
institutions and corporate R&D departments with quality content through
innovative information, products and services.
Extended versions of selected papers will be invited for special issues in
the related journals including IJWSR(SCI), Electronics (SCI
IF=2.9),Sustainability (SCI and SSCI, IF=3.9), Remote Sensing (SCI,
IF=5.0), Mathematics (SCI, IF=2.4), Journal of Cybersecurity and
Privacy,STBD, STSC, STCC, STIOT and IJBPIM.
ICBC 2023 Submission
EDGE 2023 Application and Industry Track
https://edas.info/newPaper.php?c=30770&track=117344
EDGE 2023 Research Track
https://edas.info/newPaper.php?c=30770&track=117345
EDGE 2023 Short Paper Track
https://edas.info/newPaper.php?c=30770&track=117346
==================
Organizing Committee
==================
- Program Chairs
Jun Feng, Huazhong University of Science and Technology, China
Min Luo, Georgia Tech, USA
Frank Jiang, Deakin University, Australia
- Operations Committee
Jing Zeng, China Gridcom Co.,Ltd.
Yishuang Ning, Tsinghua University
Sheng He, Tsinghua University
- Program Committee
Xianghan Zheng, Fuzhou University, China
Le Chang, Guangdong University of Technology, China
Tao Han, New Jersey Institute of Technology, USA
Tessema Mengistu, Virginia
Tech, USA
Rui Andr? Oliveira, University of Lisbon, Portugal
Weichao Wang, University of North Carolina at Charlotte, USA
Mengjun Xie, University of Tennessee at
Chattanooga, USA Ozgur
Ertug, Gazi University,Turkey
Midori Sugaya, Shibaura
Institute of Technology, Japan
Javid Taheri, Karlstad University, Sweden
Hung-Yu Wei, National Taiwan University, China
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From Vitomir.Kovanovic at unisa.edu.au Mon Sep 4 11:38:20 2023
From: Vitomir.Kovanovic at unisa.edu.au (Vitomir Kovanovic)
Date: Mon, 4 Sep 2023 15:38:20 +0000
Subject: Connectionists: Learning Letters Webinar: Human-centred learning
analytics, Dr Roberto Martinez-Maldonado (Monash University),
12 September at 9 AM BST
Message-ID:
Join the team at the new Learning Letters Journal for an exciting online event on Human-centred learning analytics with Dr Roberto Martinez-Maldonado!
Have you thought about how learning analytics and artificial intelligence are used in your specific learning context? Have you heard the terms co-design, participatory design or human-centred design and wondered how they apply to you? Dr. Roberto Martinez-Maldonado's recently published article in Learning Letters (https://doi.org/10.59453//FIZJ7007) explores four challenges faced when adopting human-centred approaches in learning analytics.
Don't miss out on this unique opportunity to learn from Dr Roberto Martinez-Maldonado and connect with like-minded individuals passionate about learning analytics. Mark your calendars for Tue, Sep 12 2023 at 6pm AEST / 5:30pm ACST / 9am BST / 10am CEST and secure your spot now!
Post your pre-webinar questions here https://padlet.com/johnkennedy9/human-centred-learning-analytics-sg2hjvnm52qlbo2f
Book your free spot now at Eventbrite https://www.eventbrite.com.au/e/human-centred-learning-analytics-with-dr-roberto-martinez-maldonado-tickets-693814436657 and share this event with your professional network today.
Dr John Kennedy
Editor (Technical) Learning Letters Journal
https://learningletters.org
?---------------------------------------------------------------------------------
Dr Vitomir Kovanovi? | BSc, MSc, PhD | Senior Lecturer
Centre for Change and Complexity in Learning (C3L)
UniSA Education Futures | University of South Australia
Room BH3-21, City West Campus | SA 5000
tel +61 8 8302 7377
Vitomir.Kovanovic at unisa.edu.au | www.unisa.edu.au/research/c3l/ | www.unisa.edu.au
Visiting Researcher, The University of Texas at Arlington
Co-Editor-in-Chief, Journal of Learning Analytics, learning-analytics.info
This email is intended for the addressee(s) only. Should this email be received in error by a person or company other than those intended, the contents of this email are confidential and must not be released or used by a person or company not authorised to do so.
CRICOS No: 00121B
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From krallinger.martin at gmail.com Tue Sep 5 03:54:10 2023
From: krallinger.martin at gmail.com (Martin Krallinger)
Date: Tue, 5 Sep 2023 09:54:10 +0200
Subject: Connectionists: Final CFP SYMPTEMIST (BioCreative VIII @ AMIA
2023): Named entity recognition & linking of symptoms (incl. multilingual
dataset)
In-Reply-To:
References:
Message-ID:
(Apologies for cross-posting)
Final CFP: SYMPTEMIST Shared Task (BioCreative VIII run with AMIA 2023)
NER and entity linking of symptoms
https://temu.bsc.es/SYMPTEMIST/
The SYMPTEMIST focuses on the detection of mentions of symptoms (NER) and
mapping to concept identifiers in clinical case reports in Spanish (entity
linking). Also a multilingual version of the dataset will be released
including versions in English, French, Italian, Dutch, Portuguese, Romanian
and Swedish.
Key information:
-
Web: https://temu.bsc.es/symptemist
-
Data:
https://zenodo.org/record/8223654
-
Annotation guidelines: https://zenodo.org/record/8246440
-
BioCreative web: https://biocreative.bioinformatics.udel.edu
-
Registration form (Track 2- SYMPTEMIST):
https://docs.google.com/forms/d/e/1FAIpQLScoSNulOoxRju3c8v9Q-CSv-w5jJcXu93G7A7v343AWfonpPw/viewform
Motivation
Systems able to detect and normalize clinical symptom mentions from medical
texts are crucial for almost any healthcare data mining, AI, medical
analytics or predictive application. As opposed to other clinical
information types, such as diagnoses (diseases/procedures), lab test
results or even medications, clinical symptoms can only be recovered
directly from written clinical narratives. Due to the high complexity,
variability and difficulty in generating annotated corpora for clinical
symptoms, only few large manually annotated data collections have been
constructed so far, with certain underlying limitations in terms of a)
entity linking / normalization of the symptom mentions to controlled
vocabularies and b) a lack of attempts to promote the development of
multilingual solutions and b) provide detailed annotation criteria and
guidelines. To address these issues, we have posed the SYMPTEMIST track at
the upcoming BioCreative VIII initiative, which will be run in the context
of the prestigious AMIA 2023 conference, which received over 1400
submissions this year.
Automatic detection of symptoms mentions are key for a range of clinical
use cases and real world applications like:
-
Predictive modeling of diseases
-
Differential diagnosis of complex diseases
-
Rare disease characterization & analysis
-
Selection of appropriate treatment & therapy
-
Study of disease-symptom associations
-
Early detection of disease outbreaks & epidemiological surveillance
-
Extraction of phenotypes
-
Drug repurposing & off label indications
The SYMPTEMIST organizers will also release multilingual resources to
foster the development of multilingual tools and generate systems not only
for Spanish but also for content in English and Romance languages (French,
Portuguese, Italian, Romanian and Catalan) as well as versions in Dutch,
Swedish and Czech.
Inspired by previous initiatives (e.g. n2c2, CLEF or TREC) and shared tasks
(CANTEMIST, PharmaCoNER, or CodiEsp), we are launching the SYMPTEMIST shared
task as part of the BioCreative 2023 evaluation initiative, with the
following three sub-tracks:
-
SYMPTEMIST-entities: automatic detection of mentions of symptoms.
-
SYMPTEMIST-linking: finding mentions of symptoms and normalizing them to
their Snomed-CT concept identifiers.
-
SYMPTEMIST-multilingual: automatic detection of mentions of symptoms in
versions of the corpus generated in English, French, Italian, Portuguese,
Romanian, Catalan, Dutch, Swedish and Czech.
Tentative schedule
- SympTEMIST Annotation Guidelines Release August 8th 2023
- SympTEMIST Train Set Subtask 1 (NER) Release August 8th, 2023
- SympTEMIST Train Set Subtask 2 (Linking) Release September 12th, 2023
- SympTEMIST Gazetteer Release September 12th, 2023
- SympTEMIST Test Set Release September 30th 2023
- Participants Test Predictions Deadline October 5th 2023
- Participants Evaluation Results Release October 10th 2023
- Submission of Participant Papers Deadline October 22nd 2023
- Notification of Acceptance Participant Papers October 30th 2023
- Submission of Camera-ready Participant Papers Deadline November 1st
2023
- BioCreative VIII @ AMIA 2023 November 11-15 2023
BioCreative proceedings and AMIA workshop
Teams participating in SYMPTEMIST will be invited to contribute a systems
description paper for the BioCreative 2023 Working Notes proceedings and a
flash presentation of their approach at the BioCreative 2023 session. The
BioCreative VIII workshop will run with AMIA 2023, November 11-15, 2023, In
New Orleans, LA. See:
https://amia.org/education-events/amia-2023-annual-symposium
Workshop Proceedings and Special Issue:
The BioCreative VIII Proceedings will host all the submissions from
participating teams, and it will be freely available by the time of the
workshop. In addition, we are happy to announce that the journal Database
will host the BioCreative VIII special issue for work that has passed their
peer-review process. Invitation to submit will be sent after the workshop.
All BioCreative VIII tracks
Track 1: BioRED (Biomedical Relation Extraction Dataset)
*Track 2: SYMPTEMIST (Symptom TExt Mining Shared Task)
Track 3: Genetic Phenotype Extraction and Normalization from Dysmorphology
Physical Examination Entries
Track 4: Clinical Annotation Tool Track
Main Organizers
-
Martin Krallinger, Barcelona Supercomputing Center, Spain
-
Eul?lia Farr?-Maduell, Barcelona Supercomputing Center, Spain
-
Luis Gasc?, Barcelona Supercomputing Center, Spain
-
Salvador Lima, Barcelona Supercomputing Center, Spain
-
Jan Rodriguez, Barcelona Supercomputing Center, Spain
=======================================
Martin Krallinger, Dr.
Head of NLP for Biomedical Information Analysis Unit
Barcelona Supercomputing Center (BSC-CNS)
https://www.linkedin.com/in/martin-krallinger-85495920/
=======================================
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From wanling.cai at tcd.ie Tue Sep 5 08:30:03 2023
From: wanling.cai at tcd.ie (Wanling Cai)
Date: Tue, 5 Sep 2023 12:30:03 +0000
Subject: Connectionists: [ACM IUI 2024] Call for Workshops and Tutorials
Message-ID:
* We apologize if you receive multiple copies of this CfP *
ACM IUI 2024 - Call for Workshops and Tutorials
In conjunction with the 29th International ACM Conference on Intelligent User Interfaces (ACM IUI 2024)
Greenville, South Carolina, USA,
March 18-21, 2024 https://iui.acm.org/2024/
Workshop and Tutorial Co-Chairs
Julia Sheidin, Braude College of Engineering, Israel, julia at braude.ac.il
Axel Soto, CONICET and Universidad Nacional del Sur, Argentina, axel.soto at cs.uns.edu.ar
Eva Zangerle, University of Innsbruck, Austria, eva.zangerle at uibk.ac.at
wt2024 at iui.acm.org
Call for Proposals
We are pleased to invite proposals for workshops and tutorials to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Potential workshop topics should be related to the general theme of the conference.
Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI).
Note: We encourage you to contact the chairs with your ideas (wt2024 at iui.acm.org), and work together to prepare an exciting proposal.
We encourage proposals for a wide range of workshop and tutorial formats and activities, including but not limited to:
* "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes.
* Interactive formats to explore a certain topic during the workshop (e.g., through breakout rooms); such workshops may have their own paper submission and review process or target a report summarizing the outcome of the interactive discussions.
* "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only).
* "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement.
* "Project centric" workshops that may be closely related to the scope of an existing large-scale (e.g. NSF, EU, etc. funded) project.
* "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation.
* Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc.
We invite submissions of proposals for full-day and half-day workshops or tutorials. Proposals will be reviewed and evaluated by the workshop and tutorial chairs.
Workshops with few submissions may be canceled, shortened, merged with other workshops, or otherwise restructured. The organizers of accepted workshops and tutorials are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop or tutorial and the ACM IUI 2024 website will refer to this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. A workshop and tutorials summary will be included in the ACM Digital Library for ACM IUI 2024, and we will separately publish a joint workshop proceedings for accepted workshop submissions (through CEUR or similar).
Proposal Format
Workshop or tutorial proposals should be a maximum of four pages long (single-column format). Prepare your submission using the latest templates: Word Submission Template, or the LaTeX template.
The proposals should be organized as follows:
* Name and title: A one-word acronym and a full title. Please indicate ?(Workshop)? or ?(Tutorial)? after the title, as appropriate.
* Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI 2024 audience. Include a brief discussion of why and for which audience the workshop or tutorial is of particular interest.
* Previous history: List of previous workshops or tutorials that were held on the topic including the conferences that hosted past workshops or tutorials and the number of participants.
* Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organizer(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops or tutorials organized by workshop organizers in the past.
* Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions.
* Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the workshop or tutorial.
* Workshop or Tutorial activities: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc.
* Workshop format: virtual, in-person, or hybrid.
* Planned outcomes of the workshop or tutorials: What are you hoping to achieve by the end of the workshop or tutorials? Please list here any planned publications or other outputs arising from workshops.
* Length: Full-day or half-day.
Important Dates
? Discuss your topic with the workshop and tutorials chairs: Oct 9, 2023
? Workshop Proposals due: Oct 16, 2023
? Workshop Proposals Decisions Sent: Nov 6, 2023
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From shu-chen.li at tu-dresden.de Tue Sep 5 09:13:43 2023
From: shu-chen.li at tu-dresden.de (Shu-Chen Li)
Date: Tue, 5 Sep 2023 13:13:43 +0000
Subject: Connectionists: 2-year 100% research associate position in
developmental cognitive neuroscience and EEG research at TU Dresden, Germany
In-Reply-To: <640CD15F-3ADB-4161-BF9F-D71F6FFD47A3@tu-dresden.de>
References: <640CD15F-3ADB-4161-BF9F-D71F6FFD47A3@tu-dresden.de>
Message-ID:
Dear colleagues,
We have one 2-year full-time research associate position open at either the Ph.D. or postdoc level.
I?d be most appreciative if you could circulate the position announcement (below) in your department/institute. With best regards, ?. Shu-Chen Li
2-year 100% research associate position in developmental cognitive neuroscience and EEG research at TU Dresden, Germany
At the Faculty of Psychology, the Chair of Lifespan Developmental Neuroscience offers a position as
Research Associate (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L), starting as soon as possible. The position is initially limited until September 30, 2025 with the option for extension. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification.
The Chair of Lifespan Developmental Neuroscience investigates neurocognitive mechanisms underlying perceptual, cognitive, and motivational development across the lifespan. The main themes of our research are neurofunctional mechanisms underlying lifespan development of memory, cognitive control, reward processing, decision making, and multisensory perception. We also pursue applied research to study effects of behavioral intervention, non-invasive brain stimulation, or digital technologies in enhancing functional plasticity for individuals of difference ages. We utilize a broad range of neurocognitive (e.g., EEG, fNIRs, fMRI, tDCS) and computational methods. The lab has several testing rooms and is equipped with multiple EEG (64-channel and 32-channel) and fNIRs systems, as well as eye-tracking and virtual-reality devices. The MRI scanner (3T) and TMS-device can be accessed through the university?s NeuroImaging Center. TUD is a university of excellence supported by the DFG, which offers outstanding research opportunities. Researchers in this chair are involved in large research consortium and cluster, such as the DFG SFB 940 ?Volition and Cognitive Control? and DFG EXC 2050 ?Tactile Internet with Human-in-the-Loop?.
Tasks: research in the field of lifespan developmental cognitive neuroscience. The research topics are subject to the fits between the candidate?s research interests, expertise, and ongoing projects in the chair, particularly the DFG-funded research project Tec4Tic; scientific teaching (1 bachelor- or master-level seminar per semester for students majoring psychology). Topics for the seminars should cover neurocognitive mechanism of cognitive, motivation, or perceptual development.
Requirements: at least university degree (Diploma/Master) in Psychology, Cognitive Neuroscience, or Cognitive Science (applicants with PhD degrees are also welcome); experiences with cognitive neuroscience methods (EEG, fNRIs, MRT); excellent language skills in German and in English.
Please contact Shu-Chen Li (shu-chen.li at tu-dresden.de) for questions about the position.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your detailed application (cover letter, research interests, CV, degree certificates and names of 2 referees) by October 12, 2023 (stamped arrival date of the university central mail service applies) to: TU Dresden, Fakult?t Psychologie, Professur f?r Entwicklungspsychologie und Neurowissenschaft der Lebensspanne, Frau Prof. Dr. Shu-Chen Li, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file (with the subject heading: Research Associate w23-306) to shu-chen.li at tu-dresden.de. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
_______________________________________________________________________________________________________________________
Prof. Shu-Chen Li, Ph.D.
Lehrstuhl Entwicklungspsychologie und Neurowissenschaft der Lebensspanne
(Chair of Lifespan Developmental Neuroscience)
Fakult?t Psychologie (Faculty of Psychology)
Zellescher Weg 17, Rm. A233
D-01062 Dresden, Germany
E-mail: Shu-Chen.Li at tu-dresden.de
URL: http://tu-dresden.de/mn/psy/epsy
Tel.: +49-351-46334162/Fax:+49-351-46342194
Excellence Cluster ? Centre for Tactile Internet with Human-in-the-Loop
URL: https://www.ceti.one
Technische Universit?t Dresden (TU Dresden)
_________________________________________________________________________________________________________________________
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From ohad.kammar at gmail.com Tue Sep 5 09:47:36 2023
From: ohad.kammar at gmail.com (Ohad Kammar)
Date: Tue, 5 Sep 2023 06:47:36 -0700
Subject: Connectionists: LAFI 2024 Call for Papers (Deadline Oct 27)
In-Reply-To:
References:
Message-ID:
Call for papers
?=====================================================================
Call for Extended Abstracts
LAFI 2024
Tenth Workshop on Languages for Inference at POPL 2024
January 14, 2024
https://popl24.sigplan.org/home/lafi-2024
Submission Deadline: October 27, 2023
=====================================================================
*Invited Speaker*
Hong Ge, Principal Investigator, Machine Learning Group, University of
Cambridge
*Submission Summary*
- Deadline: October 27, 2023 (AoE)
- Submission page: https://lafi24.hotcrp.com/
- Format: extended abstract (2 pages + references + optional appendices)
- Call for Extended Abstracts
*Workshop Goals*
LAFI aims to bring programming-language and machine-learning researchers
together to advance all aspects of languages for inference. Topics include
but are not limited to:
- The design of programming languages for inference and/or
differentiable programming;
- Inference algorithms for probabilistic programming languages,
including ones that incorporate automatic differentiation;
- Automatic differentiation algorithms for differentiable programming
languages;
- Probabilistic generative modeling and inference;
- Semantics (axiomatic, operational, denotational, games, etc) and types
for inference and/or differentiable programming;
- Formal verification and correctness for differentiable and
probabilistic programs;
- Applications of inference and/or differentiable programming.
The workshop is informal, and our goal is to foster collaboration and
establish a shared foundation for research on languages for inference. The
proceedings will not be a formal or archival publication, and we expect to
spend only a portion of the workshop day on traditional research talks.
*Submission guidelines*
- Submission deadline on October 27, 2023 (AoE)
- Submission link: https://lafi24.hotcrp.com/
- Any format is permitted, uploads must be in PDF.
- Page limit: 2 pages of main content, unlimited number of references
and appendices. Reviewers are not required or expected to read appendices.
- Anonymity: submissions should be anonymized for peer review.
- In line with the SIGPLAN Republication Policy, inclusion of extended
abstracts in the program should not preclude later formal publication.
*Remote participation policy*
Coordination with the POPL conference is underway to enable remote
participation. We strive to create an inclusive environment that does not
demand traveling for presenters or participants.
>
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From info at incf.org Tue Sep 5 10:48:03 2023
From: info at incf.org (INCF)
Date: Tue, 5 Sep 2023 16:48:03 +0200
Subject: Connectionists: Register today: INCF Neuroinformatics Assembly 2023
Message-ID:
There's still time to register for Assembly!
*INCF Neuroinformatics Assembly 2023*
*Sep 18-20, 2023*
*Virtual via Gather*
Abstracts due Sep 11, 2023
Regular registration: 50 USD
Student registration: 20 USD
**Discounted registration for INCF members**
Learn about and share the latest advancements in neuroinformatics! This
year?s theme is Transparency in FAIR Neuroinformatics and the following
topics will be represented at the assembly:
- "Opening the black box?: How to make AI/ML interpretable for
Neuroinformatics
- Neuroscience data integration through use of Digital Brain Atlases - *2
PhD credits!*
- ?A FAIR share?: The feasibility and scalability of data sharing from the
infrastructure POV
- A FAIR roadmap for knowledge graphs and ontologies
- ?Is this FAIR??: Transparency in EDI & career development & management
- From repositories to workflows: A FAIR roadmap for building and endorsing
tools
*Register today: *neuroinformatics.incf.org/assembly22-registration
*Submit your abstract: *neuroinformatics.incf.org/abstract-submission
*Learn more: *neuroinformatics.incf.org
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From mm at santafe.edu Tue Sep 5 17:14:26 2023
From: mm at santafe.edu (Melanie Mitchell)
Date: Tue, 5 Sep 2023 15:14:26 -0600
Subject: Connectionists: Postdoctoral fellowships at the Santa Fe Institute
Message-ID: <153D7FA1-4A7C-42CB-91B3-41D4D09C5A70@santafe.edu>
The Santa Fe Institute seeks applications for postdoctoral fellows for the 2024 cohort.
The fellowships offer early-career scholars the opportunity to undertake their own independent research within a collaborative research community that nurtures creative, transdisciplinary thought in pursuit of key insights about the complex systems that matter most for science and society.
Postdoctoral Fellows spend up to three years in residence at SFI, where they contribute to SFI?s research in the sciences of complexity and are trained to become leaders in interdisciplinary science.
The fellowships offer a competitive salary, generous benefits, and discretionary research funding. The city of Santa Fe offers a remarkable quality of life and year-round opportunities for outdoor activities.
Interdisciplinary scholars with broad interests with interests in any scientific discipline, including AI, machine learning, and cognitive science, are encouraged to apply.
More information and application link can be found at https://apply-sfi.smapply.org/prog/complexity_postdoctoral_fellowship_/
Application deadline: October 13, 2023.
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From suashdeb at gmail.com Wed Sep 6 06:04:47 2023
From: suashdeb at gmail.com (Suash Deb)
Date: Wed, 6 Sep 2023 15:34:47 +0530
Subject: Connectionists: Final extension of deadline, ISCMI 2023
Message-ID:
Dear esteemed colleagues,
This is to let you know that in view of requests from some of our peers,
the deadline for submission of manuscripts for 2023 10th ISCMI has been
extended till 5th September, 2023 (final extension).
For more information regarding conference proceedings, spl. issue of
Springer Publication etc pls. visit the conference website
http://www.iscmi.us
I solicit your help in sharing this piece of info with your peers and
motivate them to submit manuscripts.
Thank you and will be looking forward to receive manuscripts from you/your
colleagues in the coming days.
With kind regards,
Suash Deb
General Chair, ISCMI 2023
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From ioannakoroni at csd.auth.gr Wed Sep 6 11:54:39 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Wed, 6 Sep 2023 18:54:39 +0300
Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof.
Ioannis Pitas: "AI, Large Language Models and University Education",
September 12th, 2023 17.00 pm CEST
References:
<001701d9e0be$bdc6a2e0$3953e8a0$@csd.auth.gr>
Message-ID: <00ca01d9e0da$71d46ea0$557d4be0$@csd.auth.gr>
Dear AI scientist/engineer/student/enthusiast,
Professor Ioannis Pitas will deliver the e-lecture: "AI, Large Language Models and University Education" on September 12th, 2023 17.00 pm CEST.
He is IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the International AI Doctoral Academy ( AIDA), and Director of the Artificial Intelligence and Information Analysis ( AIIA) Lab, of the Aristotle University of Thessaloniki, Greece.
See details in: https://www.i-aida.org/events/ai-large-language-models-and-university-education/
Location: The seminar will be delivered online via zoom:
https://authgr.zoom.us/j/95289304527?pwd=ODFEMS9xQWtrNWw1UnExbVozL2NGdz09
Meeting ID: 952 8930 4527
Passcode: 285410
The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , is very pleased to offer you top quality scientific lectures
in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:
* Top highly-cited senior AI scientists internationally or
* Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).
If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list .
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski
AIDA AI Excellence Lecture Series committee members
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From uygars at alleninstitute.org Wed Sep 6 15:22:42 2023
From: uygars at alleninstitute.org (Uygar Sumbul)
Date: Wed, 6 Sep 2023 19:22:42 +0000
Subject: Connectionists: Scientist/Postdoc in Computational Neuroscience at
Allen Institute
Message-ID:
POSITION SUMMARY:
The mission of the AllenInstitute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
This scientist will work with the Institute?s quantitative and experimental scientists on high-priority problems involving machine learning that include (i) developing novel models to analyze multimodal characterizations of neurons, (ii) developing novel models to analyze time-resolved datasets, including omic studies of development and disease progression, and studies involving population activity recordings, (iii) applying the proposed models to the large datasets produced at the Institute to uncover new biological insights, and contribute to Institute-wide goals.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
ESSENTIAL FUNCTIONS:
* Develop novel algorithms to analyze multimodal and time-resolved datasets
* Participate in team efforts to improve our understanding of brain organization and function at the cell type level
* Work closely with anatomical/spatial datasets and analysis pipelines
* Participate in a highly interactive and multidisciplinary environment
* Publish/present findings in peer-reviewed journals/scientific conferences
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management?s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
REQUIRED EDUCATION AND EXPERIENCE:
* PhD in Computational Neuroscience, Computer Science, Physics, Mathematics, Applied Mathematics, Engineering, or related field; or equivalent combination of degree and experience
* Strong work background in scientific computing
PREFERRED EDUCATION AND EXPERIENCE:
* Experience with Bayesian approaches and neural networks
* Experience with cloud computing environments
* Experience with computational neuroscience
* Ability to work in a collaborative environment
* Proven independent thinking
PHYSICAL DEMANDS:
* Fine motor movements in fingers/hands to operate computers and other office equipment
POSITION TYPE/EXPECTED HOURS OF WORK
* This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis
TRAVEL:
* Occasional attendance and participation in national and international conferences required
ADDITIONAL COMMENTS:
* **Please note, this opportunity offers relocation assistance**
* **Please note, this opportunity offers work visa sponsorship**
ANNUALIZED SALARY RANGE:
$75,003 - $105,004 *
* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
BENEFITS:
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute?s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute?s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute?s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.
To apply please visit
https://alleninstitute.org/careers/?jobId=17b1d171-bc45-7660-fe67-e7888bd7a81b#actively-seeking-passionate-people-6
Uygar S?mb?l
Associate Investigator
Allen Institute for Brain Science
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From fabian.braesemann at oii.ox.ac.uk Wed Sep 6 09:16:03 2023
From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann)
Date: Wed, 6 Sep 2023 13:16:03 +0000
Subject: Connectionists: Subject: COMPLEX NETWORKS 2023 Menton Riviera
France Submission Deadline Extended Sept 11, 2023
Message-ID:
You are cordially invited to submit your contribution until September 11, 2023 (Extended Firm Deadline).
12 th International Conference on Complex Networks & Their Applications
Menton Riviera, France
November 28 - 30, 2023
COMPLEX NETWORKS 2023
KEYNOTE SPEAKERS
? Michael Bronstein University of Oxford UK
? Kathleen Carley Carnegie Mellon University USA
? Manlio De Domenico University of Padua Italy
? Danai Koutra University of Michigan USA
? Romualdo Pastor-Satorras Univ. Polit?cnica de Catalunya Spain
? Tao Zhou USTC China
TUTORIALS
? Tiago de Paula Peixoto CEU Vienna Austria
? Maria Liakata Queen Mary University of London UK
SUBMISSION
You can submit at : https://complexnetworks.org/submission/
? A Full paper (not previously published work up to 12 pages)
? An Extended Abstract (about published or unpublished research up to 4 pages)
PUBLICATION
? Papers will be included in the conference proceedings edited by Springer
? Extended abstracts will be published in the Book of Abstracts (with ISBN)
? Extended versions will be invited for publication in special issues of international journals:
o Applied Network Science edited by Springer
o Advances in Complex Systems edited by World Scientific
o Complex Systems
o Entropy edited by MDPI
o PLOS Complex systems
o PLOS one
o Social Network Analysis and Mining edited by Springer
TOPICS
Topics include, but are not limited to:
o Models of Complex Networks
o Structural Network Properties and Analysis
o Epidemics
o Community Structure
o Motifs
o Network Mining
o Network embedding
o Machine learning with graphs
o Dynamics and Evolution Patterns of Complex Networks
o Link Prediction
o Multilayer Networks
o Controllability
o Synchronization
o Visual Representation
o Large-scale Graph Analytics
o Social Reputation, Influence, and Trust
o Information Spreading in Social Media
o Rumour and Viral Marketing in Social Networks
o Recommendation Systems
o Financial and Economic Networks
o Mobility
o Biological and Technological Networks
o Mobile call Networks
o Bioinformatics
o Earth Sciences Applications
o Resilience and Robustness of Complex Networks
o Networks for Physical Infrastructures
o Networks, Smart Cities and Smart Grids
o Political networks
o Supply chain networks
o Complex networks and information systems
o Complex networks and CPS/IoT
o Graph signal processing
o Cognitive Network Science
o Network Medicine
o Network Neuroscience
o Quantifying success through network analysis
o Temporal and spatial networks
o Historical Networks
o Graph-Based Natural Language Processing
GENERAL CHAIRS
Hocine Cherifi (University of Burgundy, France)
Luis M. Rocha (Binghamton University, USA)
---
Dr Fabian Braesemann
Departmental Research Lecturer in AI & Work
Oxford Internet Institute
University of Oxford
Publicity Co-Chair
12th International Conference on Complex Networks & Their Applications
28 - 30 November, 2023, French Riviera, France
fabian.braesemann at oii.ox.ac.uk
+44 7731 700 704
Google Scholar | LinkedIn
Oxford Internet Institute
University of Oxford
1 St Giles
Oxford, OX1 3JS
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From wanling.cai at tcd.ie Wed Sep 6 19:29:13 2023
From: wanling.cai at tcd.ie (Wanling Cai)
Date: Wed, 6 Sep 2023 23:29:13 +0000
Subject: Connectionists: ACM IUI 2024 - Second Call for Papers
Message-ID:
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://iui.acm.org/2024/call_for_papers.html *
ACM IUI 2024: 29th International ACM Conference on Intelligent User Interfaces
Greenville, South Carolina, USA
March 18-21, 2024
ACM Conference on Intelligent User Interfaces (ACM IUI) 2024 is the 29th annual premiere venue, where researchers and practitioners meet and discuss state-of-the-art advances at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). Ideal IUI submissions should address practical HCI challenges using machine intelligence and discuss both computational and human-centric aspects of such methodologies, techniques and systems.
In addition to traditional IUI themes, we add this year a new theme of Large Language Models (LLMS) for the people. As LLMs become more powerful and more accessible, end users can interact with them in various ways and a wide variety of new applications become feasible. This raises new research questions regarding the interaction between users and generative AI models, including the design of new interactions and intelligent systems, when to trust systems powered with LLMs, fairness in LLMs, studying the effect of such models on people?s work and aligning user expectations with model capabilities.
As always, contributions to IUI are expected to be supported by rigorous evidence appropriate to the claims (e.g., user study, system evaluation, computational analysis). Contributions are welcome from all relevant arenas, including academia, industry, government, and non-profit organizations. We strongly believe that diverse insights are critical to the vitality of the IUI community and the conference will accept papers for both long and short oral presentations.
** Topics **
IUI topics of interest include, but are not limited to:
- Usable Large Language Models and Generative AI
* End-user interaction with LLMs and Multimodal models (e.g., chatbots, image generation)
* LLMs in the workplace
* Trustworthy LLMs
* Bias in LLMs
* The effects of LLMs use on creative tasks
* Personalized user interaction with LLMs
* Prompt Engineering
* User control and steering of LLMs (e.g. RLHF)
- Human-centered AI methods, approaches, and systems
* Explainable AI methods
* Democratization of AI
* Persuasive technologies in IUI
* Privacy and security of IUI
* Knowledge-based approaches to user interface design and generation
* User modelling for intelligent interfaces
* User-adaptive interaction and personalization
* IUI for crowd computing and human computation
- Computational innovation
* Interactive machine learning
* Human-in-the loop AI testing and debugging
* Human-centered recommendation and recommender systems
* Human-in-the-loop reinforcement learning
* Intelligent user interfaces for generative AI
- Innovative User Interfaces
* Affective interfaces
* Intelligent aesthetic interfaces
* Intelligent collaborative interfaces
* Intelligent AR/VR interfaces
* Intelligent visualization and visual analytics
* Intelligent wearable and mobile interfaces
* Intelligent tangible interfaces
- Intelligent Multimodal Systems
* Embodied agents
* Multimodal AI assistants
* Intelligent multimodal interfaces
- Evaluations of Intelligent User Interfaces
* User experiments and studies
* Reproducibility (including benchmarks, datasets, and challenges)
* Meta-analysis
* Mixed-methods evaluations
- Applications IUI
* Education and learning-related technologies
* Healthcare and wellbeing
* Automotive
* Assistive technologies
* Entertainment
* Workplace happiness
* Social media
* Information retrieval
* Internet of things (IoT)
* Smart cities
* Generative AI
** Papers **
We invite original paper submissions that are not under consideration elsewhere. This year, there is no page limit on the papers (however, we strongly encourage authors to not exceed 10,000 words) and no formal distinction between long and short papers will be made. However, we expect the paper length to be commensurate with the scientific values and contribution of the work. Authors of papers that exceed 12,000 words should add a note at the end of their manuscript explaining how the length of the paper is commensurate with the contribution of the work.
Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS) special issue titled "Highlights of IUI 2024" that will appear in 2025.
All accepted papers will be invited for oral presentation as part of the main conference program. Additionally, all authors of accepted papers are invited to present a poster of their work during the poster session.
** Highlights of this year **
We also encourage authors to discuss potential ethical considerations of their work; aspects pertaining to current societal issues; diversity, inclusion, and equality; and other topics under the broad responsible AI topic.
Reflection of practical and societal impact
* We encourage authors to consider practical and societal implications of their work (as well as its shortcomings) throughout their projects and to include a reflection on those implications in their papers, in particular how the proposed methods and insights could be applied and deployed in a realistic setting and how they can improve people's lives in the real world.
* We also encourage authors to discuss potential ethical considerations of their work in terms of diversity, inclusion, and equality; and other topics under the broad responsible AI topic and its societal impact. We recognize that technology is rarely neutral --- simply by making some things easier than others, it reshapes society (Winner, 1980; Green, 2020). Further, given the incredibly short invention-to-application cycles for AI-related technologies, it is becoming increasingly unlikely that ?somebody else? will carefully consider how an emerging intelligent user interface technology might impact the world before this technology is deployed. Because it is often difficult to anticipate the cumulative or indirect impacts of an invention, we provide a few concrete suggestions to consider throughout the research process and for reflecting on one?s work at the end.
* Our purpose is to help authors ensure that the likely societal consequences of their work are consistent with their intentions and values. For colleagues who are not yet experienced with incorporating societal impacts into their IUI research but who are willing to give it a try, we prepared some simple ideas to consider.
** Submission instructions **
Important dates
* Abstract submission- Oct 2th, 2023
* Full Submission - Oct 9th, 2023
* Initial decisions released - Dec 14th, 2023
* Rebuttal period (by invitation only)- Dec 14th-20th, 2023
* Notifications sent - Jan 5h, 2024
* Camera Ready submission - Jan 25th, 2024
Platform
* All materials must be submitted electronically to PCS 2.0 http://new.precisionconference.com/~sigchi by the abstract and paper deadline.
* In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2024" and "IUI 2024 Papers", respectively, and press "Go".
Anonymization
* ACM IUI uses a double-blind review process. All submissions (and supplemental materials) must be appropriately anonymized according to the following guidelines:
* Authors? names and affiliations are not visible anywhere in the paper.
* Acknowledgements should be anonymized or removed during the review process.
* Self-citations should be included where necessary but must use the third person. For example, "... as shown in our previous user study [2] ... " is not allowed, whereas "... as shown in Smith et al. [2] " is acceptable (because in this case the citation [2] will NOT be perceived as self-citation).
* Failure to follow these guidelines may result in submissions being desk rejected without review.
* Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences.
Accessibility
* Authors are asked to make their paper submissions accessible (so that reviewers with vision impairments can access them, for example). The authors of accepted papers will be required to make their final PDFs accessible. Please use the SIGCHI Guide to an Accessible Submission for detailed instructions.
* If you are submitting a video as supplemental material, please provide captions, as described in Technical Requirements and Guidelines for Videos.
* Please refer to the Accessibility page for further details and guidelines.
Submission format and length
* We will adopt the ACM TAPS Workflow.
* Prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template.
* Papers are of variable length. Paper length must be based on the weight of the contribution. We encourage authors to stay within a 10,000 word limit. Authors of papers exceeding 12,000 words should add a note at the end of their manuscript explaining how the length of the paper is commensurate with the contribution of the work.
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* Submitting supplemental material (e.g. questionnaires, demo videos of applications, data sheets) is optional but encouraged.
* If supplying a demo video, please follow the SIGCHI Technical Requirements and Guidelines for Videos.
Additional Policies
* As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects.
Program Chairs
* Dorota Glowacka, University of Helsinki
* Denis Parra, PUC Chile
* Ofra Amir, Technion - Israel Institute of Technology
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From jorgecbalmeida at gmail.com Thu Sep 7 05:53:15 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Thu, 7 Sep 2023 10:53:15 +0100
Subject: Connectionists: DEADLINE APPROACHING - Sept 8! First edition of the
Seeing and Acting Workshop (SAW). University of Coimbra, Portugal,
21-23 September 2023
Message-ID:
Dear colleague,
Sorry for cross-posting!
*Poster submission* *for* the first edition of *the Seeing and Acting
Workshop (SAW) is approaching! *
*Send us your abstract - submission closes on September 8 (anywhere on
earth)!*
SAW will take place at the Faculty of Psychology and Educational Sciences
of the University of Coimbra, *September 21-23, 2023* in Coimbra, Portugal.
For the first edition of SAW, we have an exciting and stimulating group of
Invited Speakers:
? *Laurel Buxbaum*, Moss Rehabilitation Research Institute, USA
? *Erez Freud*, York University, Canada
? *Leyla Isik*, Johns Hopkins University, USA
? *Nancy Kanwisher*, Massachusetts Institute of Technology, USA
? *Bradford Mahon*, Carnegie Mellon University, USA
? *Alex Martin*, National Institute of Health, USA
? *Ricarda Schubotz*, University of M?nster, Germany
ABSTRACT SUBMISSION AND REGISTRATION ARE OPEN!!
*Abstract submission for posters closes on September 8, 2023*. The five
best abstracts whose first author is a student or postdoc will receive a
200 euro award sponsored by ANTneuro.
To register, submit a poster abstract, or for more information, please
visit:
https://www.uc.pt/cogbooster/saw/2023/
The goal of SAW is to provide a forum for cognitive science/neuroscience
researchers from a range of perspectives who are interested in Perception
and Action, broadly construed, to come together to discuss their research
and develop new directions and collaborations. The format of the workshop
is intended to encourage extensive discussion among participants. To this
end, we have scheduled only a small number of invited speakers, and there
are no concurrent talks. In addition to the individual seminars, there will
be a poster session for students, postdocs and other researchers to present
their work.
SAW is powered by the ERA Chair CogBooster
, and by the Faculty of
Psychology and Educational Sciences of the University of Coimbra, Portugal.
Workshop Organizers:
Jorge Almeida, Alfonso Caramazza, Paul Downing, Mel Goodale, Zoe Kourtzi,
Angelika Lingnau, and Isabel Pav?o Martins
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From jorgecbalmeida at gmail.com Thu Sep 7 06:01:23 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Thu, 7 Sep 2023 11:01:23 +0100
Subject: Connectionists: =?utf-8?q?Reminder_-_Open_until_September_26=2E_2?=
=?utf-8?q?_tenure-track_Faculty_positions_*now_open*_in_Cognitive_?=
=?utf-8?q?Science/Neuroscience_at_the_Faculty_of_Psychology_?=
=?utf-8?q?=E2=80=93_University_of_Coimbra=2C_Portugal_=E2=80=93_co?=
=?utf-8?q?-funded_by_the_ERA_Chair_project_CogBooster_led_by_Dr=2E?=
=?utf-8?q?_Alfonso_Caramazza?=
Message-ID:
Apologies for cross-posting.
*Positions will be open until September 26. Please apply as early as
possible!*
The Faculty of Psychology and Educational Sciences
of the University of Coimbra (FPCE-UC) Portugal
invites applications from rising and aspiring leaders in Cognitive Science
and Neuroscience for 2 tenure-track positions at the Assistant (1) and
Associate (1) Professor level. These positions are part of a transformative
ERA Chair grant CogBooster
from the European Union to FPCE-UC led by Dr. Alfonso Caramazza
. The goal of
CogBooster is to implement a strong and international line of research in
Cognitive Science/Neuroscience, so as to contribute to the ongoing renewal
of the Psychological and Brain Sciences in Portugal over the next decade.
The official calls are will be open on August 16, 2023, and will close on
September 26, 2023 (no exceptions):
The call (and all the documentation that explains the procedure) for the
Assistant Professor position (process number IT136-23-12844) can be found
here
The call (and all the documentation that explains the procedure) for the
Associate Professor position (process number IT136-23-12845) can be found
here
*Equal Employment Opportunity statement:*
The University of Coimbra is an equal opportunity/affirmative action
employer and has a Gender Equality Plan in place. We are committed to
fostering a diverse and inclusive academic global community at the
University. We particularly encourage applications from women, and from
other under-represented groups in the University of Coimbra?s workforce and
in the brain sciences.
*Positions:*
We seek applicants with expertise in any area of Cognitive
Science/Neuroscience. The positions are tenure-track at the rank of
Assistant (1) and Associate (1) Professor. The start date should be around
November/December, 2023 (but potentially negotiable). Applicants for the
Associate Professor position should have completed their PhD before
September 2018.
*Qualifications:*
Applicants must hold a Ph.D. in a discipline relevant to Cognitive
Science/Neuroscience, and/or have relevant work in the area. Successful
applicants should have an excellent record of research for their career
level. To contribute to the mission of CogBooster and to the research and
educational mission of FPCE-UC, they are expected to establish an active
research program, acquire external research funds, and contribute to
teaching and mentoring.
The applicant will actively engage in research, teaching, and supervision
in the field of the specific positions at FPCE-UC and its affiliated
research center. Applicants may use different technical and methodological
approaches to address their research questions, including, but not limited
to, cognitive neuropsychology and the study of brain lesions, human
neuroimaging techniques (fMRI, EEG, sEEG, etc), behavioral and cognitive
approaches, and computational cognitive neuroscience.
*Offer:*
Positions are tenure-track with a permanent contract. All positions include
social security and national pension plans, medical insurance (if required
by the applicant), and all legally applicable benefits under Portuguese
law. Salary depends on the level of appointment.
In addition to the legally required employment conditions described above,
and has part of the ERA Chair initiative CogBooster, these positions come
with a start-up package. This includes (subject to final discussion between
the selected candidates and Dr. Alfonso Caramazza):
? Funding for 1 Post-Doctoral fellow at the Portuguese pay grade
for 36 months;
? Funding for 1 Research Assistant/Doctoral student at the
Portuguese pay grade for 48
? Months;
? Funding for 200 fMRI hours (or EEG hours, use of
neurostimulation, etc.);
? Funding for attending and presenting at national and
international conferences
? Funding for open access publications;
? Funding for Laboratory resources (e.g., Computers);
? Laboratory space shared with other laboratories at FPCE-UC;
? Institutional support for applying to major European and
international grants (grant reviewing by experts, interview preparation,
etc).
*About Portugal, Coimbra, and FPCE-UC:*
Portugal?s warm and pleasant climate, rich history and culture, beautiful
landscapes and beaches, affordable cost of living, and quality but
affordable medical and educational systems, makes it one of the most
exciting countries to live in. Moreover, Portuguese culture is incredibly
family-friendly, welcoming to foreigners (English is widely spoken), and
the country is one of the five safest countries in the world. Finally, it
features an incredible and diverse cuisine, great wine, and a pace of life
commensurate with work-life balance.
The University of Coimbra is a 700-year-old University and is a UNESCO
world Heritage site. Coimbra is one of the liveliest university cities in
the world, and it is a beautiful city with easy access to the beach and
mountain. According to Numbeo-Cost of Living , 2500
euro in Coimbra (the net value approximate monthly salary of an Associate
Professor) correspond to a local purchasing power of about 5000 euro in
Paris, 5300 pounds in London (UK), 4200 euro in Rome, 4900 euro in Munich,
40200 DKK in Copenhagen, 6900 USD in Los Angeles or Washington, 7400 CAD in
Toronto, 26k CNY in Beijing or Shanghai, and 8700 AUD euro in Sydney.
The Faculty of Psychology and Educational Sciences has been consistently
ranked as the, or one of the, best Psychology Departments in Portugal. In
the last decade it has become the leading department in Portugal on
Psychological research, holding, for instance, the only 2 ERC grants in
Psychology in Portugal. FPCE-UC has a laboratory for Cognitive Science and
Cognitive Neuroscience research ? the Proaction Lab
. We have access to two 3T MRI scanners,
to tDCS and TMS with neuronavigation, to a 256 channel EEG, and to a fully
functional behavioral lab.
*Further information:*
The official calls are will be open on August 16, 2023, and will close on
September 26, 2023 (no exceptions):
The call for the Assistant Professor position (process number
IT136-23-12844) can be found here
The call for the Associate Professor position (process number
IT136-23-12845) can be found here
If you have any questions about the application please send an email to
Jorge Almeida (jorgecbalmeida at gmail.com). In the meanwhile, we strongly
encourage potential applicants to contact Drs. Alfonso Caramazza (
caram at wjh.harvard.edu) and Jorge Almeida (jorgecbalmeida at gmail.com). Please
send us your CV, and a short cover letter describing your interest in the
position (including the general field of research, the rank/s to which you
are applying).
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From agocse109 at gmail.com Thu Sep 7 12:36:31 2023
From: agocse109 at gmail.com (Alexander Ororbia II)
Date: Thu, 7 Sep 2023 12:36:31 -0400
Subject: Connectionists: New Comprehensive Survey on Predictive Coding,
Free Energy, and Implications for Brain-Inspired Intelligence
Message-ID:
Dear fellow connectionists,
For all those interested in predictive coding and variational free energy
as well as how this might be an important pathway for the
future of neuro-mimetic / brain-inspired artificial intelligence, a new
comprehensive survey/review came out a few weeks ago
that might be worth your time to read to get a sense of the domain over the
last few decades:
https://arxiv.org/abs/2308.07870
Our hope is that this work will spark interest in predictive coding and
emphasize its value for
artificial intelligence advancements that may come through the intersection
of computational neuroscience, cognitive science,
and statistical learning. Hopefully, this might further inspire the next
generation of researchers, scholars, and students that aim
to contribute and help advance to neuro-mimetic machine intelligence.
Best regards,
-Alex
--
Dr. Alexander G. Ororbia II
Director, Neural Adaptive Computing Laboratory
Assistant Professor, Department of Computer Science
Affiliate Professor, Department of Psychology
Rochester Institute of Technology, Rochester, NY, USA
Google Scholar:
https://scholar.google.com/citations?hl=en&user=IAFscrMAAAAJ&view_op=list_works&sortby=pubdate
NAC Laboratory Page: https://www.cs.rit.edu/~ago/nac_lab.html
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From joel at mpi-sws.org Thu Sep 7 11:55:43 2023
From: joel at mpi-sws.org (=?UTF-8?Q?Jo=C3=ABl_Ouaknine?=)
Date: Thu, 7 Sep 2023 17:55:43 +0200
Subject: Connectionists: =?utf-8?q?Postdoc_at_MPI-SWS_Saarbr=C3=BCcken_in_?=
=?utf-8?q?the_ChatVerify_project_for_Large_Language_Models?=
In-Reply-To:
References:
Message-ID:
(see: https://people.mpi-sws.org/~joel/postdoc-CVY.html )
About the project
We invite applications for a postdoctoral research position in Prof. Jo?l
Ouaknine's research group at the Max Planck Institute for Software Systems
in Saarbr?cken, Germany. The successful candidate will work in close
collaboration with academic and industrial partners, delving deep into the
verification of Large Language Models (LLMs) based software programs.
*Focus of the Position:*
1. Design and implement innovative verification methods to ensure the
reliability and accuracy of LLM-based software programs, i.e., software
programs that leverage LLMs to solve various sub-problems.
2. Actively engage in the design and development of a system that
generates high-quality data utilising LLMs.
*Project Insight:* Software programs that utilise LLMs to tackle complex
problems often require a strategy to decompose the main problem into
smaller and simpler sub-problems. These sub-problems are separately
addressed using LLMs, and the aggregation of results from these steps
yields the final results. However, employing LLMs in these processes can
lead to uncertainties and errors in the final outcome. Regardless of the
prompt's sophistication, LLMs may generate incorrect responses, which makes
it challenging to ensure the correctness of LLM-based software programs.
Our mission in this project is twofold:
*Prompt-Level Verification:* Establish methods to validate the efficacy of
the prompting processes in getting accurate responses from LLMs.
*Program-Level Verification:* Develop strategies to verify the overall
reliability of the LLM-based software program, specifically its ability to
correctly synthesise intermediate sub-step results even when faced with
potentially uncertain or incorrect results from sub-steps.
Upon establishing a successful verification methodology, the postdoctoral
researcher in this position will further refine this approach, aiding in
the development of a system optimised for high-quality data generation
using LLMs.
While the successful candidate will be hired by, and work at, the Max
Planck Institute for Software Systems in Saarbr?cken, collaboration and
frequent visits to research partners are necessary. Such partners include
TU Wien (Vienna, Austria), UCL (London), University of Calabria (Rende,
Cosenza, Italy), as well as industrial collaborators. In addition, the
successful candidate is expected to spend one or more internships in
industry. The project will build on methods and software provided by
industrial partners. We are thus looking for a candidate who is keen and
able to liaise with industry, and who is interested in transformational
research, working on practical problems of industrial relevance.
Your qualifications and responsibilities
*Required:*
- A PhD degree (or near completion) in algorithmic verification, machine
learning, databases, or a related field.
- Strong algorithm-design and coding skills, along with proficiency in
using popular Machine Learning development frameworks, such as TensorFlow
and PyTorch.
- A thorough understanding of the underlying techniques of Large
Language Models, and experience in fine-tuning or customising such models.
- Published research articles in top-tier journals or conferences. In
exceptional cases, industry experience with a solid background in
industry-based software engineering that has led to highly innovative
products or results could partially or fully replace the publication
requirements.
- Ability and willingness to liaise with industrial partners and to work
on problems of practical relevance.
- Interest and ability to perform translational research, applying
existing theoretical results to practical problems of industrial relevance.
- You are expected to take on the responsibility of supervising students
and research assistants.
- Proficiency in written and spoken English is essential. (Knowledge of
German is not necessary.)
*Beneficial:*
- Relevant experience in fields such as Information Extraction from
Unstructured Text, Automatic Web Data Extraction, Databases, or Fuzzy Logic.
- Industrial experience, particularly experience in areas such as Big
Data Engineering and MLOps, coupled with familiarity with cloud services
such as AWS.
- Experience with software testing.
- Experience leading teams or projects, as well as supervising junior
developers or researchers.
- A product-oriented mindset.
For informal enquiries, please contact Prof. Jo?l Ouaknine (joel at mpi-sws.org
).
To apply, please send a cover letter and CV by email to Ms. Annika Meiser (
ameiser at mpi-sws.org).
Applications will be reviewed until a suitable candidate is found. To
ensure full consideration, please submit your application on or before
*22 Oct. 2023*.
We would particularly welcome applications from women and minority
applicants who are currently under-represented within Computer Science.
--
*Jo?l Ouaknine*
Max Planck Institute for Software Systems
Saarland Informatics Campus, Germany
http://mpi-sws.org/~joel/
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From davy.weissenbacher at gmail.com Thu Sep 7 14:05:07 2023
From: davy.weissenbacher at gmail.com (Davy Weissenbacher)
Date: Thu, 7 Sep 2023 11:05:07 -0700
Subject: Connectionists: Final CFP: Normalization of Genetic Phenotypes from
Dysmorphology Physical Examinations @ BioCreative VIII - track 3
Message-ID:
*Task:* We call for automated systems to extract and normalize the findings
of dysmorphology physical examinations. The dataset consists of 3136
de-identified observations with dysmorphic findings manually annotated and
normalized with their corresponding HumanPhenotype Ontology
(HPO) terms.
*Motivation:* Dysmorphology physical examinations catalog minor
morphological differences of patients? bodies and may also identify general
medical signs such as neurologic dysfunction. These findings enable
correlations of patients with known rare genetic diseases and allow
researchers to delineate undescribed genetic conditions. These medical
findings are nearly always captured as unstructured free text within the
electronic health record, making them unavailable for downstream
computational analysis. Advanced natural language processing methods are
therefore required to retrieve the information from the records.
*Challenge:* Both extraction and normalization are challenging. The
extraction is challenging due to the descriptive style of the examinations
which, for conciseness, report findings with disjoint and overlapping
mentions. The normalization is challenging due to the large scale of the
HPO ontology which requires a normalizer to learn the task without
supervision since our training set does not provide examples of all terms
in the HPO.
See
https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for
details., in short:
- 3136 de-identified observations with dysmorphic and normal findings
manually annotated and normalized with their corresponding Human
Phenotype Ontology terms
- Baseline systems available (e.g. doc2HPO
, NeuralCR
, PhenoTagger
, PhenoBERT
,
and txt2HPO
)
- Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351
- Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC
[Apologies for cross-posting]
Best regards,
Davy
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From hussain.doctor at gmail.com Fri Sep 8 05:29:31 2023
From: hussain.doctor at gmail.com (Amir Hussain)
Date: Fri, 8 Sep 2023 10:29:31 +0100
Subject: Connectionists: Finall Call for Papers - IEEE Transactions on AI:
Special Issue on Conversational AI (deadline extended to 30 September 2023)
In-Reply-To:
References:
Message-ID:
Dear all
A final reminder - due to several requests from authors, the paper
submission deadline for the IEEE TAI Special Issue on "Conversational
AI" is extended to 30 September. Please see updated Call for Papers
below and here: https://cogmhear.org/assets/IEEE-TAI-Special-Issue.pdf
We look forward to your submissions,
Sincerely
Guest Editors Team:
Professor Amir Hussain, Edinburgh Napier University, UK
Professor Oliver Lemon, Heriot-Watt University, Edinburgh,
Profesor Roberto Pieraccini, (formerly) Google NYC, USA,
Professor Dong Yu, Tencent AI Lab, USA
IEEE Transactions on AI (TAI): Special Issue on: ?Conversational AI?
Conversational AI is an emerging interdisciplinary research and
innovation field, involving diverse topics ranging from machine
learning, speech and natural language processing, understanding and
generation, to ethics, sociology and psychology. It has gained
increasing popularity in recent years through effective integration in
commercial personal assistants such as Apple Siri, Amazon Alexa,
Google Personal Assistant, ChatGPT, and many others.
State-of-the-art conversational AI is being advanced through a number
of global initiatives, including the Amazon Alexa prize competition
and NeurIPS Conversational Intelligence Challenge live competition.
These are continuing to identify and address various open challenges
and questions including, in particular, the growing need for large
multi-modal language models to deliver more natural, socially
responsible and mult-lingual conversational agents, user interfaces
and human-machine dialogue systems.
This timely special issue aims to bring together interdisciplinary
communities to advance state-of-the-art in conversational AI
technologies and applications. It will also serve to promote
cross-fertilisation of ideas and insights and bridge the gap between
academic research and commercial innovation in the area.
Areas of interest include but are not limited to:
? Large language models in conversational AI and human-machine dialog systems
? ChaptGPT variations
? Speech based multi-modal processing for conversational AI
? Contextual language understanding and natural language processing
internationalisation
? Emotion-sensitive dialog/chatbot/agent systems
? Semi-supervised, self-supervised and reinforcement learning in
dialog/chatbot/agent systems
? Human-in-the-loop trustworthy dialog/chatbot/agent systems
? Contextual multimodal dialog data collection and evaluation
? User preference-aware evaluation of dialog/chatbot/agent systems
? Trustworthy discourse modeling
? Unimodal and multimodal coreference resolution in natural dialog
? Natural dialog representation learning
? Natural language processing for conversational AI
? New Interdisciplinary and integrative approaches, such as
contextual integration of conversational AI, chatbots and robots, with
IoT, 5G/6G, wireless/wearable sensing, augmented/mixed reality.
? Applications with novel contributions in different domains
including assistive hearing, speech communication technology,
healthcare, customer service, sales, marketing, retail and e-commerce.
Timeline:
? Submission deadline: September 30, 2023
? First notification: November 30, 2023
? Subsequent review rounds as required
? Final decision: March 31, 2024
? Expected Publication date: End of 2024
Guest Editors:
Amir Hussain, Edinburgh Napier University, UK E-mail: a.hussain at napier.ac.uk
Oliver Lemon, Heriot-Watt University, Edinburgh, UK E-mail: o.lemon at hw.ac.uk
Roberto Pieraccini, (formerly) Google NYC, USA Email: robertopieracc at gmail.com
Dong Yu, Tencent AI Lab, USA E-mail: dongyu at ieee.org
From el-ghazali.talbi at univ-lille.fr Fri Sep 8 06:46:59 2023
From: el-ghazali.talbi at univ-lille.fr (El-Ghazali Talbi)
Date: Fri, 8 Sep 2023 12:46:59 +0200
Subject: Connectionists: OLA'2024@Dubrovnik Optimization & Learning Int.
Conf.
Message-ID:
Apologies for cross-posting. Appreciate if you can distribute this CFP
to your network.
****************************************************************************************
????????????????????????? OLA'2024
????????? International Conference on Optimization and Learning
????????????????????????? 13-15 May 2024
????????????????????????? Dubrovnic, Croatia
??????????????? http://ola2024.sciencesconf.org/
??????????????????? SCOPUS Springer Proceedings
****************************************************************************************
OLA is a conference focusing on the future challenges of optimization
and/or machine learning methods and their applications. The conference
OLA'2024 will provide an opportunity to the international research
community in optimization and learning to discuss recent research
results and to develop new ideas and collaborations in a friendly and
relaxed atmosphere.
OLA'2024 welcomes presentations that cover any aspects of optimization
and/or machine learning research such as big optimization and learning,
optimization for learning, learning for optimization, optimization and
learning under uncertainty, deep learning, new high-impact applications,
parameter tuning, 4th industrial revolution, computer vision,
hybridization issues, optimization-simulation, meta-modeling,
high-performance computing, parallel and distributed optimization and
learning, surrogate modeling, multi-objective optimization ...
Submission papers: We will accept two different types of submissions:
-?????? S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
-?????? S2: Original research contributions of a maximum of 12 pages
Important dates:
===============
Paper submission extended deadline???? Dec 16, 2023
Notification of acceptance??? Feb 09, 2024
Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings. A SCOPUS and DBLP indexed Springer book will be
published for accepted long papers. Proceedings will be available at the
conference.
--
***********************************************************************
OLA'2024
International Conference on Optimization and Learning (SCOPUS, Springer)
Dubrovnik, Croatia, May 2024
https://ola2024.sciencesconf.org/
***********************************************************************
Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA
CRISTAL - CNRS
From davrot at neuro.uni-bremen.de Fri Sep 8 07:37:15 2023
From: davrot at neuro.uni-bremen.de (David Rotermund)
Date: Fri, 8 Sep 2023 13:37:15 +0200
Subject: Connectionists: Watch our A Eye workshop via Zoom (September 19-22,
2023): 'Cortical Prostheses - Interdisciplinary Research Towards
Artificial Vision for the Blind'
Message-ID: <98eff50a-0b05-58ae-d116-47d3cc186958@neuro.uni-bremen.de>
We would like to invite you to watch the talks of our workshop 'Cortical
Prostheses - Interdisciplinary Research Towards Artificial Vision for
the Blind'. It will take place from 19 to 22 September 2023.
If you are interested in watching the talks via Zoom (free of charge),
please use the web form at
https://www.uni-bremen.de/i-see/hwk-workshop
to register. In addition to the registration form, you will also find
the abstracts of all the presentations and a provisional timetable
(which is in German time) on the website.
If you have any questions, please don't hesitate to ask.
Here is the list of scheduled talks:
Michael Beyeler
Human-in-the-Loop Optimization of Simulated Prosthetic Vision
Avi Caspi
Eye tracking in cortical visual prosthesis - from theory to practice
Gislin Dagnelie
Early functional outcomes for the first human with the Intracortical
Visual Prosthesis (ICVP)
Theo Doll
Additively Fabricated Cortical Electrodes ? a materials challenge
Udo Ernst
I-See - Evaluating novel approaches for constructing visual cortical
prostheses
Eduardo Fernandez Jover
Towards an advanced cortical visual neuroprosthesis based on
intracortical microelectrodes
Ione Fine
Pulse trains to percepts: Using virtual patients to describe the
perceptual effects of human visual cortical stimulation
Shelley I. Fried
Towards the development of a micro-coil based cortical visual prosthesis
Diego Ghezzi
High-density wide-area cortical visual prosthesis
Umut Guclu
Neural Coding and Neuroprosthetics with Deep Learning and Synthetic Reality
Michael Herzog
A psychophysical approach to object rendering in future V4 prostheses
Dirk Jancke
Probing electrical brain stimulation in genetically modified mice
Arto Nurmikko
Wireless Networks of Implanted Microchips for Distributed Cortical
Sensing and Stimulation
Christopher Pack
Design considerations for an extrastriate visual cortical prosthetic
Carlos Ponce
Estimating the capacity of neuronal?population?encoding via?image
reconstructions
Bogdan Raducanu
Chips to neurons and back: electronic circuits for neural recording and
stimulation
Pieter Roelfsema
Visual perception and consciousness and their restoration when the eyes fail
Andreas Schander
Development of neural probes for chronic recording and electrical
stimulation
Michael Schmid
Influence of visual cortex stimulation on perception: Insights from
experiments in non-human primates
Martin Schrimpf
Do Topographic ANNs Predict the Behavioral Effects of Neural
Interventions in Primate IT Cortex?
Fabian Sinz
Exploring the Visual System with Functional Digital Twins and Inception
Loops
Anna Wang Roe
A novel interface for cortical columnar neuromodulation with multi-point
infrared neural stimulation
Daniel Yoshor
Implementing a Visual Cortical Prosthetic: Advances and Challenges
best wishes
David
From li.zhaoping at tuebingen.mpg.de Fri Sep 8 15:09:15 2023
From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping)
Date: Fri, 8 Sep 2023 21:09:15 +0200
Subject: Connectionists: free online Vision Courses available
In-Reply-To: <3c99d932-4681-85c0-489d-8620ace7dfd3@tuebingen.mpg.de>
References:
<3c99d932-4681-85c0-489d-8620ace7dfd3@tuebingen.mpg.de>
Message-ID:
These online courses (available at https://zhaoping.thinkific.com/ )
include
A very brief introduction of what is known about vision experimentally
A very brief introduction to simple mathematical methods for
computational vision
The efficient coding principle
Visual attention and V1 Saliency Hypothesis
Visual decoding and recognition
You can mix and match them for graduate courses in "Introduction to
Vision", "Systems Vision Science", and "Computational Vision". They have
been used for teaching in the University of Tuebingen, and are also
suitable for self-study.
Questions and comments are most welcome!
Li Zhaoping
--
Li Zhaoping, Ph.D.
Prof. of Cognitive Science, University of Tuebingen
Head of Department of Sensory and Sensorimotor Systems,
Max Planck Institute for Biological Cybernetics
Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014
www.lizhaoping.org
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From mgalle at gmail.com Fri Sep 8 09:48:22 2023
From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=)
Date: Fri, 8 Sep 2023 15:48:22 +0200
Subject: Connectionists: 2nd Call for Participation: Advanced Language
Processing School 2024
Message-ID:
SECOND CALL FOR PARTICIPATION
Advanced Language Processing School (ALPS) 2024
April, 1-5 2024
Aussois (French Alps)
We are pleased to announce the 4th edition of ALPS - the Advanced NLP
School to be held in the French Alps in April.
This school targets advanced research students in Natural Language
Processing and related fields and brings together world leading experts and
motivated students. The programme comprises lectures, poster presentations,
practical lab sessions and nature activities - the venue is located near a
National Park.
Important Dates
* ? Oct 1st: Application deadline*
? Nov 1st 2023: acceptance notification
? Jan 1st 2024: registration deadline
? April 1st 2024: Start of School
Confirmed speakers so far:
- Kyunghyun Cho (New York University)
- Claire Gardent (CNRS)
- Sara Hooker (Cohere)
- Andr? Martins (IT Lisboa)
- Barbara Plank (LMU Munich)
- Titouan Parcollet (Cambridge University)
Website and online application: https://alps.imag.fr/
Questions: alps at univ-grenoble-alpes.fr
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From timothee.masquelier at alum.mit.edu Fri Sep 8 10:20:19 2023
From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=)
Date: Fri, 8 Sep 2023 16:20:19 +0200
Subject: Connectionists: Special issue on Deep SNNs
Message-ID:
Dear colleagues,
Please consider submitting your work to our Frontiers Research Topic "Deep
Spiking Neural Networks: Models, Algorithms and Applications":
https://www.frontiersin.org/research-topics/58546/deep-spiking-neural-networks-models-algorithms-and-applications
Best,
Tim
--
Timoth?e Masquelier - timothee.masquelier at cnrs.fr -
http://cerco.ups-tlse.fr/~masquelier/
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From bei.xiao at gmail.com Fri Sep 8 14:00:41 2023
From: bei.xiao at gmail.com (bei.xiao at gmail.com)
Date: Fri, 8 Sep 2023 14:00:41 -0400
Subject: Connectionists: Faculty Position in Cognitive or Social Psychology
At American University, DC
Message-ID:
Posting on behalf of the psychology department faculty search. Please
address the questions to the contact in the bottom of the message.
The Department of Psychology in the College of Arts and Sciences at
American University invites applications for a full-time, tenure-track
position at the rank of Assistant or Associate Professor beginning August
1, 2024. Rank will be dependent on experience and stature in the field.
Depending on qualifications, the appointee to this position may be
recommended for tenure at the time of hiring. In addition to scholarship
and teaching, responsibilities will include participation in department,
school and university activities.
We welcome applications from candidates engaged in high-quality research in
Cognitive or Social Psychology. The University has areas of strategic focus
for research in Data Science and Analytics, Health, Security, Social
Equity, and Sustainability. Priority will be given to outstanding
researchers who can contribute meaningfully to one or more of these areas.
Salary and benefits are competitive. Full review of applications will begin
September 15, 2023 and will continue until the position is filled.
American University is a private institution within easy reach of the many
centers of government, business, research, and the arts located within the
nation?s capital. For more information about American University, visit
www.american.edu. The Psychology Department offers both undergraduate and
graduate degree programs. Learn more about the College of Arts and sciences
at www.cas.american.edu and about the Psychology department at
www.american.edu/cas/psychology.
Candidates should be effective teachers and must be strongly committed to
excellence in scholarly research. Applicants should have a PhD or an
anticipated PhD completion by August 2024.
Include a letter of application, curriculum vitae, three letters of
recommendation, recent teaching evaluations (when possible), and copies of
recent published papers or working papers. Please contact Professor Laura
Juliano (juliano at american.edu) if you have any questions.
Apply online here:
https://jobs.chronicle.com/job/37498933/assistant-or-associate-professor-in-cognitive-or-social-psychology/
--
Bei Xiao, PhD
Associate Professor
Computer Science & Center for Behavioral Neuroscience
American University, Washington DC
Homepage: https://sites.google.com/site/beixiao/
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From jorgecbalmeida at gmail.com Fri Sep 8 18:36:31 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Fri, 8 Sep 2023 23:36:31 +0100
Subject: Connectionists: =?utf-8?q?REMINDER=3A_Applications_for_the_Master?=
=?utf-8?q?=C2=B4s_in_Psychological_Sciences_at_the_University_of_C?=
=?utf-8?q?oimbra=2C_Portugal=2C_will_be_open_from_Sept_1_to_Sept_1?=
=?utf-8?q?3!?=
Message-ID:
Apologies for cross-posting.
The Faculty of Psychology and Educational Sciences of the University of
Coimbra (FPCE-UC) Portugal invites applications for the Master?s in
Psychological Sciences. Applications will be open from September 1 to
September 13.
This Master?s is centered on research and on preparing students for a PhD
in Psychology. Most of its core courses focus on hands-on in-lab research,
science management and communication, and statistics, while offering the
possibility of having many elective courses in computational
biology/neuroscience, neuroimaging and others. The Master?s in
Psychological Sciences has an English-only program available for those
interested (the official languages are Portuguese and English).
A major concentration of this Master?s will be in Cognitive Neuroscience,
and will be associated with lab work and mentoring at the Proaction Lab
lead by Jorge Almeida and within the transformative ERA Chair grant from
the European Union to FPCE-UC CogBooster (lead by Alfonso Caramazza).
Please see more information here: https://apps.uc.pt/courses/EN/course/10721
You will have to register here to submit an application to the Masters:
https://inforestudante.uc.pt/nonio/security/login.do
If you have any questions, please contact me at jorgecbalmeida at gmail.com
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From dwang at cse.ohio-state.edu Fri Sep 8 09:24:13 2023
From: dwang at cse.ohio-state.edu (Wang, Deliang)
Date: Fri, 8 Sep 2023 13:24:13 +0000
Subject: Connectionists: NEURAL NETWORKS, September 2023
Message-ID:
Neural Networks - Volume 166, September 2023
https://www.journals.elsevier.com/neural-networks
A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace
Fadi Dornaika, Abdullah Baradaaji
A survey on neural-symbolic learning systems
Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection
Dezhi Guo, Zhaowei Liu, Ranran Li
Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column
Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark J. Cook, Anthony N. Burkitt, David B. Grayden
Visual information processing through the interplay between fine and coarse signal pathways
Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang, Si Wu
Multi-view graph representation with similarity diffusion for general zero-shot learning
Beibei Yu, Cheng Xie, Peng Tang, Haoran Duan
Tackling higher-order relations and heterogeneity: Dynamic heterogeneous hypergraph network for spatiotemporal activity prediction
Changyuan Tian, Zequn Zhang, Fanglong Yao, Zhi Guo, ... Xian Sun
Low-rank discrete multi-view spectral clustering
Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao
Quantum recurrent neural networks for sequential learning
Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, ... Yongjian Gu
A super-resolution network for medical imaging via transformation analysis of wavelet multi-resolution
Yue Yu, Kun She, Jinhua Liu, Xiao Cai, ... O.M. Kwon
Dual memory model for experience-once task-incremental lifelong learning
Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang
Unsupervised feature selection based on variance-covariance subspace distance
Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati
Block-level dependency syntax based model for end-to-end aspect-based sentiment analysis
Yan Xiang, Jiqun Zhang, Junjun Guo
Lightweight image super-resolution based multi-order gated aggregation network
Garas Gendy, Nabil Sabor, Guanghui He
Safe screening rules for multi-view support vector machines
Huiru Wang, Jiayi Zhu, Siyuan Zhang
A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition
Long Tang, Yingjie Tian, Xiaowei Wang, Panos M. Pardalos
CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor
Hamza Mukhtar, Adil Afzal, Sultan Alahmari, Saud Yonbawi
ATNAS: Automatic Termination for Neural Architecture Search
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, ... Hideitsu Hino
Sparse solution of least-squares twin multi-class support vector machine using l_{0} and l_{p}-norm for classification and feature selection
Hossein Moosaei, Milan Hlad?k
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera
Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie, Haijun Liu
Memristor-based spiking neural network with online reinforcement learning
Danila Vlasov, Anton Minnekhanov, Roman Rybka, Yury Davydov, ... Vyacheslav Demin
Class-imbalanced complementary-label learning via weighted loss
Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning
Gaspard Lambrechts, Florent De Geeter, Nicolas Vecoven, Damien Ernst, Guillaume Drion
A biologically inspired auto-associative network with sparse temporal population coding
Ya Zhang, Kexin Shi, Xiaoling Luo, Yi Chen, ... Hong Qu
Long-range zero-shot generative deep network quantization
Yan Luo, Yangcheng Gao, Zhao Zhang, Jicong Fan, ... Mingliang Xu
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
Philipp Ernst, Soumick Chatterjee, Georg Rose, Oliver Speck, Andreas N?rnberger
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation
Myeongkyun Kang, Dongkyu Won, Miguel Luna, Philip Chikontwe, ... Sang Hyun Park
Adaptive event-triggered synchronization of neural networks under stochastic cyber-attacks with application to Chua's circuit
Yao Xu, Chunyu Yang, Linna Zhou, Lei Ma, Song Zhu
A look into feedback neural computation upon collision selectivity
Zefang Chang, Qinbing Fu, Hao Chen, Haiyang Li, Jigen Peng
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory
Sergey Oladyshkin, Timothy Praditia, Ilja Kroeker, Farid Mohammadi, ... Sebastian Otte
A bio-inspired positional embedding network for transformer-based models
Xue-song Tang, Kuangrong Hao, Hui Wei
Node injection for class-specific network poisoning
Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty
EPC-DARTS: Efficient partial channel connection for differentiable architecture search
Zicheng Cai, Lei Chen, Hai-Lin Liu
Fixed-time periodic stabilization of discontinuous reaction-diffusion Cohen-Grossberg neural networks
Fanchao Kong, Quanxin Zhu, Hamid Reza Karimi
Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks
Feng-Liang Zhao, Zi-Peng Wang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang
Approximation of smooth functionals using deep ReLU networks
Linhao Song, Ying Liu, Jun Fan, Ding-Xuan Zhou
Value iteration for streaming data on a continuous space with gradient method in an RKHS
Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian
Synchronization of coupled switched neural networks subject to hybrid stochastic disturbances
Han Long, Jingxuan Ci, Zhenyuan Guo, Shiping Wen, Tingwen Huang
Adaptive pinning cluster synchronization of a stochastic reaction-diffusion complex network
Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman, Mei Liu
A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers
Ingeborg de Pater, Mihaela Mitici
An adaptive neurodynamic approach for solving nonsmooth
-cluster games
Mengxin Wang, Shihui Zhu, Sitian Qin
Event-based fixed-time synchronization of neural networks under DoS attack and its applications
Mengping Xing, Jianquan Lu, Jungang Lou, Lingzhong Zhang
Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints
Zicong Chen, Hui Zhang, Jianqi Liu, Qinruo Wang, Jianhui Wang
Trustworthy Medical Image Segmentation with improved performance for in-distribution samples
Sneha Shukla, Lokendra Birla, Anup Kumar Gupta, Puneet Gupta
Context and detail interaction network for stereo rain streak and raindrop removal
Jing Nie, Jin Xie, Jiale Cao, Yanwei Pang
Balance guided incomplete multi-view spectral clustering
Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li
Perceptual Contrastive Generative Adversarial Network based on image warping for unsupervised image-to-image translation
Lin-Chieh Huang, Hung-Hsu Tsai
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition
Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, ... Guoqi Li
Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning
C. Treesatayapun
End-to-end neural speaker diarization with an iterative adaptive attractor estimation
Fengyuan Hao, Xiaodong Li, Chengshi Zheng
MSSPA-GC: Multi-Scale Shape Prior Adaptation with 3D Graph Convolutions for Category-Level Object Pose Estimation
Lu Zou, Zhangjin Huang, Naijie Gu, Guoping Wang
Solving classification tasks by a receptron based on nonlinear optical speckle fields
B. Paroli, G. Martini, M.A.C. Potenza, M. Siano, ... P. Milani
Online dynamic ensemble deep random vector functional link neural network for forecasting
Ruobin Gao, Ruilin Li, Minghui Hu, P.N. Suganthan, Kum Fai Yuen
Reconstructing controllable faces from brain activity with hierarchical multiview representations
Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, ... Xinbo Gao
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From maria.andreina.francisco at it.uu.se Sat Sep 9 06:08:05 2023
From: maria.andreina.francisco at it.uu.se (Maria Andreina Francisco Rodriguez)
Date: Sat, 9 Sep 2023 10:08:05 +0000
Subject: Connectionists: =?utf-8?q?CPAIOR_2024_=E2=80=93_Call_for_Papers?=
Message-ID: <7E8E2FD8-5709-4E19-9F4A-1D65C2B81347@it.uu.se>
****** This call can be seen online: https://sites.google.com/view/cpaior2024/call-for-papers ******
The 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024) will be held in Uppsala, Sweden, from May 28 to May 31, 2024. Full information is at https://sites.google.com/view/cpaior2024/.
The aim of the conference is to promote a space where researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) present innovative techniques, new applications, and original cutting-edge ideas, thereby encouraging researchers from one area to learn from the others. Of particular interest to the conference are papers that integrate concepts and methodologies from these different fields, either proposing interesting new techniques for complex/practical problems or expanding our theoretical insights and cross-field understanding. However, high-quality original papers from a single area are welcome when also relevant to the other communities involved. The conference also strongly encourages regular papers or experience reports showcasing CP/AI/OR techniques on challenging real-world applications.
The program committee invites submissions that include, but are far from limited to, the following topics:
* New methodologies in the interface between predictive and prescriptive pipelines, such as machine learning techniques applied to tackle optimization problems and, conversely, CP/OR techniques to address AI and machine learning tasks.
* Novel relaxation and inference methods based on constraint propagation, polyhedral techniques/cutting planes, convex/second-order conic optimization, graph-based algorithms, dynamic programming, and decision diagrams for optimization.
* New search perspectives involving enumeration/branch-and-bound strategies, innovative decomposition techniques (e.g., based on column generation/Benders), intelligent backtracking, incomplete search, and learning-based heuristics.
* Advanced integrated methods that expose new model transformations, communication strategies across MIP/CP/SAT solvers, distributed solution techniques, and solver selection (e.g., portfolio approaches).
* Innovative models and applications of CP/AI/OR techniques.
* Implementation or evaluation of CP/AI/OR techniques and optimization systems.
Submissions are of two types: regular papers (submitted for publication and presentation) and extended abstracts (submitted for presentation only). The conference will recognize a distinguished paper award and a student paper award.
Instructions for Regular Papers
Regular papers present original unpublished work and can be of two types:
* long papers (at most 15 pages plus references)
* short papers (at most 8 pages plus references)
Both long and short papers will undergo rigorous review and are subject to the same criteria of quality. Both types are also eligible for the distinguished paper or student paper award. Short papers are particularly encouraged for interesting and novel work in progress, for which the practical or theoretical relevance is not yet fully identified.
The conference proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS) series. All regular papers should be prepared and submitted in the format used for that series (LNCS instructions).
Submission schedule for regular papers (both long and short):
* Abstracts: November 27, 2023 (AoE: anywhere on Earth)
* Full papers: December 4, 2023 (AoE)
* Rebuttal phase: January 15 ? 18, 2024 (AoE)
* Notification: February 1, 2024
Instructions for Extended Abstracts
Extended abstracts should be one or two pages in length and may present preliminary work or work already published in other outlets. The extended abstracts are submitted for presentation only (if accepted), and will not be formally published in the LNCS conference volume. A collection of the accepted extended abstracts will be published on the conference website. A submission representing work submitted or published in another outlet should state that outlet. Extended abstracts will be reviewed to ensure appropriateness for the conference.
Submission schedule for extended abstracts:
* Extended abstracts: March 6, 2024 (AoE)
* Notification: April 3, 2024
Submission Process
All regular papers and extended abstracts are to be submitted electronically in PDF format by following the instructions at EasyChair: https://easychair.org/conferences/?conf=cpaior2024.
For any queries on the submission process, please contact the Program Chair, Bistra Dilkina, at cpaior2024 at gmail.com.
Looking forward to seeing you in Uppsala!
N?r du har kontakt med oss p? Uppsala universitet med e-post s? inneb?r det att vi behandlar dina personuppgifter. F?r att l?sa mer om hur vi g?r det kan du l?sa h?r: http://www.uu.se/om-uu/dataskydd-personuppgifter/
E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy
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From weng at msu.edu Sun Sep 10 17:07:58 2023
From: weng at msu.edu (Weng, Juyang)
Date: Sun, 10 Sep 2023 21:07:58 +0000
Subject: Connectionists: Video: "Post-Selection in Deep Learning" with Dr.
David Qiu
Message-ID:
Video: "Post-Selection in Deep Learning" with Dr. David Qiu
https://youtube.com/playlist?list=PLntQ4jEfo0MtYqAsXRKeFskfgeDF-gNRy
It is a live Q&A session for
John Weng, "On `Deep Learning' Misconduct",
https://ui.adsabs.harvard.edu/abs/2022arXiv221116350W/abstract
-John Weng
Brain-Mind Institute
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From ioannakoroni at csd.auth.gr Mon Sep 11 03:00:22 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Mon, 11 Sep 2023 10:00:22 +0300
Subject: Connectionists: Live free 'AIDA AI Excellence e-Lecture' by Prof.
Ioannis Pitas: "AI, Large Language Models and University Education",
September 12th, 2023 17.00 pm CEST
References:
<001701d9e0be$bdc6a2e0$3953e8a0$@csd.auth.gr>
Message-ID: <041001d9e47d$a2714f00$e753ed00$@csd.auth.gr>
Dear AI scientist/engineer/student/enthusiast,
Professor Ioannis Pitas will deliver the e-lecture: "AI, Large Language Models and University Education" on September 12th, 2023 17.00 pm CEST.
He is IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the International AI Doctoral Academy ( AIDA), and Director of the Artificial Intelligence and Information Analysis ( AIIA) Lab,
Of the Aristotle University of Thessaloniki, Greece.
See details in: https://www.i-aida.org/events/ai-large-language-models-and-university-education/
Location: The seminar will be delivered online via zoom:
https://authgr.zoom.us/j/95289304527?pwd=ODFEMS9xQWtrNWw1UnExbVozL2NGdz09
Meeting ID: 952 8930 4527
Passcode: 285410
The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, is very pleased to offer you top quality scientific lectures
in the framework of AIDA AI Excellence Lecture Series on several current hot AI topics. Lectures will be offered alternatingly by:
* Top highly-cited senior AI scientists internationally or
* Young AI scientists with promise of excellence (AI sprint lectures)
These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).
If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.
Best regards
Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski
AIDA AI Excellence Lecture Series committee members
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From lmanzoni at units.it Sun Sep 10 13:30:08 2023
From: lmanzoni at units.it (MANZONI LUCA)
Date: Sun, 10 Sep 2023 17:30:08 +0000
Subject: Connectionists: 3rd CFP - EuroGP 24 - the 27th European Conference
on Genetic Programming
Message-ID:
*** Apologies for cross-posting ***
*********************************************************************************
Third Call for Papers:
EuroGP 24 - the 27th European Conference on Genetic Programming
https://www.evostar.org/2024/eurogp/
3-5 April 2023, Aberystwyth, Wales, UK
held as part of EvoStar (http://www.evostar.org)
** EuroGP is CORE Rank B **
Submission deadline: November 1, 2023
*********************************************************************************
EuroGP is the premier annual conference on Genetic Programming (GP),
the oldest and the only meeting worldwide explicitly devoted to this
branch of evolutionary computation. It is always a high-quality,
enjoyable, friendly event, attracting participants from all continents,
and offering excellent opportunities for networking, informal contact,
and exchange of ideas with fellow researchers. It will feature a mixture
of oral presentations and poster sessions and invited keynote speakers.
**** EvoStar ****
EvoStar is a leading international event devoted to evolutionary
computing, comprising four conferences: EuroGP, EvoApplications,
EvoCOP, and EvoMUSART.
**** Topics ****
Topics to be covered include, but are not limited to:
Algorithms, representations, and operators for GP
Innovative applications of GP
Tree-based, linear, graph-based, and grammar-based GP
Theoretical developments
GP performance, behavior, and benchmarking
Multiple populations, coevolution, and modularity in GP
Multi-objective GP
Explainability and interpretability in GP
Genetic improvement programming
GP for software engineering
GP for continuous control and evolutionary robotics
Evolutionary design
Evolvable hardware
Parallel GP
Unconventional GP
Hybridization of GP with other methods
**** Submission Details ****
Paper submissions must be original and not published elsewhere. The submissions will be peer-reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Page limit: 14 pages plus references
Submission link: https://easychair.org/conferences/?conf=evo2024
The authors of accepted papers will have to improve their paper on the basis of the reviewers? comments and will be asked to send a camera ready version of their manuscripts
The authors of accepted papers will have to improve their papers on the basis of the reviewers? comments and will be asked to send a camera-ready version of their manuscripts. At least one author of each accepted work has to register for the conference and present the work.
The highest quality papers may also be invited to submit extensions for publication in a special issue of a prestigious international journal.
**** Organization ****
Program Chairs:
Mario Giacobini, University of Torino, Italy
Bing Xue, Victoria University of Wellington, New Zealand
Publication Chair:
Luca Manzoni, University of Trieste, Italy
For further information please visit https://www.evostar.org/2024/eurogp/
Bing Xue and Mario Giacobini
EuroGP PC Chairs
From C.ODonnell2 at ulster.ac.uk Mon Sep 11 04:48:58 2023
From: C.ODonnell2 at ulster.ac.uk (O'Donnell, Cian)
Date: Mon, 11 Sep 2023 08:48:58 +0000
Subject: Connectionists: Autumn school in Computational
Neuroscience/Neurotech/NeuroAI
Message-ID:
Final notice for online applications for our 3rd annual Autumn School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) at Ulster University, Northern Ireland (in-person attendance slots are now full). The School runs from 25-31st October 2023.
Topics and lecturers:
* Introductory neuroscience / Elaine Murray, Ulster University
* Mathematics for neuroscience / Rachel Nicks, University of Nottingham
* Computational modelling of plasticity and learning in brains / Cian O?Donnell, Ulster University
* Computational modelling of neuronal and glial interactions / Liam McDaid, Ulster University
* Modelling the dynamics of decision-making / KongFatt Wong-Lin, Ulster University
* Investigating time series neural data: Common signal processing practices / Saugat Bhattacharyya, Ulster University
* Fundamentals of functional and effective connectivity / Maria Dauvermann, University of Birmingham
* Non-invasive brain-computer interfaces: Enhancing applicability using computational intelligence and technological advances / Girijesh Prasad, Ulster University
* Decoding mental imagery from electroencephalography (EEG) and applications of AI-enabled wearable neurotechnology for communication and rehabilitation / Damien Coyle, University of Bath & Ulster University
* Brain-inspired spiking neural network models for life-long and explainable learning / Nikola Kasabov, Auckland University of Technology & Ulster University
* Introduction to Lifelong Learning / Shirin Dora, Loughborough University
* Foundations of Large Language Models / Muskaan Singh, Ulster University
* Neuromorphic Engineering / Jim Harkin, Ulster University
* Ethical and regulatory issues in Neuroscience
There will also be daily computer lab sessions and group projects.
The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable: ?50 for attendees from high-income countries, ?20 for attendees from low- and middle-income countries.
For more information and application, please visit the website at:
https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-environment/computing-engineering-intelligent-systems/isrc-cn3-autumn-school
Deadline for online application is 15th September 2023.
Sponsored by generous funding from NeuroCONCISE, IEEE Brain, IEEE Computational Intelligence Society, IEEE EMBS, and g.tec.
This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University.
The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation.
The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA
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From samuel.kaski at manchester.ac.uk Tue Sep 12 02:06:02 2023
From: samuel.kaski at manchester.ac.uk (Samuel Kaski)
Date: Tue, 12 Sep 2023 06:06:02 +0000
Subject: Connectionists: Postdoc, Research fellow, and PhD student positions
in Machine learning and AI (Helsinki, Finland; deadline Oct 1)
Message-ID:
We are hiring in Helsinki Finland, to my research group and in the Finnish Centre for Artificial Intelligence AI and ELLIS Unit Helsinki. These are two separate calls - you can apply in one or both calls:
1. My research group, probabilistic machine learning: https://aalto.wd3.myworkdayjobs.com/aalto/job/Otaniemi-Espoo-Finland/Postdoctoral-and-doctoral-researcher-positions-in-Probabilistic-Machine-Learning-research-group--Aalto-University_R37227-3
2. Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki: https://fcai.fi/we-are-hiring
Keywords in both : 1) Reinforcement learning, 2) Probabilistic methods, 3) Simulation-based inference, 4) Privacy-preserving machine learning, 5) Collaborative AI and human modeling, 6) Machine learning for science, and 7) differential privacy.
The positions can include a suitable combination of theoretical and methodological work, and applications such as drug design, synthetic biology, economics, neuroimaging
FAQ: Q: What is the difference; how do I know which call and topic to apply in? A: Pick a topic that is most fitting to you, and tell more about your wishes in the cover letter.
Deadline is October 1, 2023
More information: Aalto Probabilistic Machine Learning Group, Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki
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From ai at okipublishing.com Mon Sep 11 15:44:36 2023
From: ai at okipublishing.com (AI Systems)
Date: Mon, 11 Sep 2023 19:44:36 +0000
Subject: Connectionists: [1st CFP] Abstracts Due Jan 19: Artificial
Intelligence Frontiers, April 1-4, USA & Online
Message-ID: <90c816598180dc19c53829670dc1441b@okipublishing.com>
[Apologies for cross-posting]
--- 1st Call for Abstracts and Papers -------------
2024 OkIP International Conference on Artificial Intelligence Frontiers
(CAIF)
Downtown Oklahoma City, OK, USA & Online
April 1-4, 2024
https://eventutor.com/e/CAIF001
Submission Deadline: January 19, 2024
Extended versions of the best papers will be considered for publication
in the inaugural volume of the International Journal of Automated and
Intelligent Systems.
*** Contribution Types (Two-Column IEEE Format Style):
- Full Paper: Accomplished research results (6 pages)
- Short Paper: Work in progress/fresh developments (3 pages)
- Extended Abstract/Poster/Journal First: Displayed/Oral presented (1
page)
*** Areas:
>> AI, Machine Learning (ML), and Applications
- General ML | Active/Supervised Learning
- Clustering/Unsupervised Learning
- Online Learning | Learning to rank
- Reinforcement Learning | Deep Learning (DL)
- Semi/Self Supervised Learning
- Time Series Analysis | Prediction/Forecasting
- DL Architectures/Generative-Models
- Deep Reinforcement Learning
- Computational Learning Theory
- Bandit/Game/Statistical-Learning Theory
- Optimization Methods and Techniques
- Convex/Non-Convex Optimization
- Matrix/Tensor Methods
- Stochastic/Online Optimizations
- Non-Smooth/Composite Optimization
- Probabilistic Inference | Graphical Models
- Bayesian/Monte-Carlo Methods
- Trustworthy Machine Learning
- ML Accountability/Causality
- ML Fairness/Privacy/Robustness
- Healthcare/DNA/Transportation
- Digital-Economy | Ecommerce Security
- Sustainability | Energy | Green Technology
- Language | Image
- Recommendation Systems
>> Agent-based, Automated, and Distributed Supports
- Multi-Agent Systems | Software Agents
- Dialogue System | Conversational Agent
- Decentralized/Distributed Intelligence
- Context-Aware Computing
- Group Decision Support Systems
- Intelligent Structures/Networks
- Design/Automation Approaches
- Sensor Networks Architectures
- Complex Manufacturing Processes
- Analytical Models | Path Planning
- Multistage Assembly Line
- Automated Inspection
- Natural Language Processing
>> Natural Language Processing (NLP)
- Conversational Agents | Dialogue System
- Large Language Models | Grammatical Tagging
- Natural Language Generation/Toolkit
- Linguistic Morphology | Morphological Analysis
- Morphemesx Characteristics
- Language Models and Smoothing
- Document/Topic Classification/Notation
- Sequence Labeling |Speech Tagging
- Named Entity Recognition
- Lexical Semantics | Word Embeddings
- Phrase Structure | Dependency Syntax
- Sentence Semantics | Speech Recognition
- Question Answering | Machine Translation
- Document Summarization | Sentiment analysis
- Co-Reference Resolution
- Word sense disambiguation
- NLP Tools/Approaches | Statistical NLP
- AI/Machine/Deep Learning Techniques for NPL
- Convolutional/Recurrent Neural Networks
>> Intelligent Systems and Applications
- Medical Nanorobotics |
- Sensory/Embedded Systems
- Embedded Systems | Digital Manufacturing
- Optimization/Evolutionary Algorithms
- Bioinformatics/Biotechnology Applications
- Computer-Vision Applications
- Sensor-Networks Applications
- Intelligent Design | Fuzzy Systems
- Soft/Ubiquitous Computing
- Pervasive/Wearable Computing
- Intelligence Manufacturing | Microsatellite
- Cyber-physical Systems | Kinematics
- AI in Nuclear-Energy/Earth-observation
>> Knowledge-based and Control Supports
- Expert/Complex Systems
- Decision-Support Systems
- Intelligent Control/Supervision Systems
- Knowledge Engineering
- Neural Networks | Structural Optimization
- Intelligent Teleoperation
- Intelligent Shopfloor
- Collision Avoidance | Fault Diagnosis
- Object Detection and Tracking | Path Planning
- Position/Quality/Motion Control
- Predictive Control
- Preventive Maintenance | Defect Detection
>> Automation, Robotics and Vehicles
- Unmanned Vehicles/Robots
- Autonomous Vehicles/Robots
- Human-Robot Interfaces/Interactions
- Intelligent Telerobotics | Service Robots
- Robotic Manipulators/Arms/Applications
- Computer Vision
- Industrial/Agricultural Robotics
- Self-Driving Vehicles | Cloud-based Driving
- Vehicular ad hoc Networks |Traffic Detection
- Vehicle-to-Vehicle Communication
- Vehicle Platooning | Steering Systems
- Vehicle dynamics | Traffic Computing
- AI in Manufacturing Automation
- Lights-out Manufacturing
- New Concepts/Products Rapid Scaling
- Business Process Automation | IT Automation
- Network Automation | Industrial Automation
- Automating Integration between Systems
- Fixed Automation | Programmable Automation
- Flexible Automation | Integrated Automation
>> Glogal AI
- Sustainable AI | AI for HealthCare
- AI Solutions to Global Problems
- Socially Intelligent Robots
- Crowdsourcing AI Solutions
- Machine Vision and Safety
- AI Technological Progress
- AI Societal Accountability
- Conservation and Biodiversity
- Human Development Tracking
- Neurotechnologies, AI and Human Rights
- AI Risks/Benefits | AI and Financial Inclusion
- AI and Environmental Efficiency
- Artistic/Hybrid Intelligence
- AI for Diversity/Inclusion/Equity/Equality
- AI in Weather/Climate
- Addressing the Dark Sides of AI
- AI for Future Communities
>> Generative AI Tools and Models
- Generative AI Tools/Models/Applications
- Legal and technical challenges
- Empathy and Ethical Creativity
- Explainability/Robustness/Trustworthy AI
- AI-Powered Decision Making Tools
- Responsible/Fair/Unbiased/Auditable AI
- Data Modality/Type
- Unimodal/Multimodal Systems
- Generative AI Software/Hardware
- Chatbot|Text-to-image | Text-to-video
- Smaller/Larger/Language Models
- Advanced Computing | Semiconductors
- GPU | AI Accelerator Chips
- Government/Business/Individuals Concerns
- Job Losses | Deepfakes | Cybercrime
- Misuse in Journalism | Regulations
>> AI in Computing and Society
- AI/Cognition in Cloud Computing
- AI in Data and Big Data
- Theories and Approaches of Blockchain
- AI in Electronic Commerce
- AI in Education
- Intelligent Learning/Tutoring/Teaching
- Collaborative Knowledge Building Activities
- AI in the Healthcare System
- AI in High-Performance Computing
- AI in CyberSecurity
- IA in Power/Energy
- AI and Knowledge Management Process
- AI, Web-Based Environments, and Adaptive Systems
- Smart Systems/Infrastructures/Construction/City
- Grid Modernization | Efficient Wind Turbines
- Digital Communication and Control
- Evolution/Integration of Renewable Energy
- Smart Grids/Microgrids/Meters/Appliances
- Internet of Things (IoT) and Sustainability
- Intelligent Transportation Systems
>> Important Dates:
- Abstract or Paper Submission: January 19, 2024
- Author Notification: February 2-16, 2024
- Camera Ready Paper Submission, Registration: February 9-23, 2024
- Conference Date: April 1-4, 2024
>> Technical Program Committee
https://eventutor.com/event/41/page/101-committee
Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info at okipublishing.com
From boubchir at ai.univ-paris8.fr Mon Sep 11 10:21:57 2023
From: boubchir at ai.univ-paris8.fr (Larbi Boubchir)
Date: Mon, 11 Sep 2023 16:21:57 +0200
Subject: Connectionists: [CfP] The 4th international workshop on Machine
Learning for EEG Signal Processing (MLESP)
In-Reply-To: <4f76062e-9eb4-f9a0-35e3-f9497e5835d1@ai.univ-paris8.fr>
References: <6de3ecca-1388-efd2-8ff8-c9da76527002@ai.univ-paris8.fr>
<4f76062e-9eb4-f9a0-35e3-f9497e5835d1@ai.univ-paris8.fr>
Message-ID:
[Apologies for multiple postings]
>
> *CALL FOR PAPERS *
>
>
> The 4th international workshop on Machine Learning for EEG Signal
> Processing (MLESP 2023, https://mlesp2023.sciencesconf.org/
> ) will be held in Istanbul,
> Turkey, from 5 to 8 December 2023, in conjunction with the IEEE
> International Conference on Bioinformatics and Biomedicine (IEEE BIBM
> 2023, https://ieeebibm.org/BIBM2023 )
>
> *
> *
>
> *Overview*
>
> EEG signal processing involves the analysis and treatment of the
> electrical activity of the brain measured with Electroencephalography,
> or EEG, in order to provide useful information on which decisions can
> be made. The recent advances in signal processing and machine learning
> for EEG data processing have brought impressive progress in solving
> several practical and challenging problems in many areas such as
> healthcare, biomedicine, biomedical engineering, BCI, and biometrics.
> The aim of this workshop is to present and discuss the recent advances
> in machine learning for EEG signal analysis and processing. We are
> inviting original research work, as well as significant
> work-in-progress, covering novel theories, innovative methods, and
> meaningful applications that can potentially lead to significant
> advances in EEG data analytics. This workshop is an opportunity to
> bring together academic and industrial scientists to discuss recent
> advances.
>
> *
> *
>
> *The topics of interest include but are not limited to: *
>
> - EEG signal processing and analysis
> - Time-frequency EEG signal analysis
> - Signal processing for EEG Data
> - EEG feature extraction and selection
> - Machine learning for EEG signal processing
> - EEG classification and Hierarchical clustering
> - EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's
> disease, etc.)
> - Machine learning in EEG Big Data
> - Deep Learning for EEG Big Data
> - Neural Rehabilitation Engineering
> - Brain-Computer Interface
> - Neurofeedback
> - EEG-based Biometrics
> - Related applications
>
> *
> *
>
> *Important Dates *
>
> *Oct. 10, 2023*(11:59 pm CST):Due date for full workshop papers submission
> Nov. 5, 2023: Notification of paper acceptance to authors
> Nov. 21, 2023: Camera-ready of accepted papers
> Dec 5-8, 2023: Workshops
>
> *Paper Submission*
>
> - Please submit a full-length paper (up to 8 pages IEEE 2-column
> format) through the online submission system. You can download the
> format instruction here:
> https://www.ieee.org/conferences/publishing/templates.html
>
>
> - Electronic submissions in PDF format are required.
>
> *Online Submission*
>
> https://wi-lab.com/cyberchair/2023/bibm23/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2023/bibm23/scripts/ws_submit.php
>
>
> *Publication*
>
> All accepted papers will be published in the BIBM proceedings and IEEE
> Xplore Digital Library.
>
> *
> *
>
> *Contact*
>
> Prof. Larbi Boubchir /(Workshop Chair/), University of Paris 8, France
> E-mail: larbi.boubchir at univ-paris8.fr
>
>
>
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From timofte.radu at gmail.com Mon Sep 11 10:10:09 2023
From: timofte.radu at gmail.com (Radu Timofte)
Date: Mon, 11 Sep 2023 16:10:09 +0200
Subject: Connectionists: Professor positions on Applied Super-Resolution and
on Digital Media Processing at University of Wurzburg
Message-ID:
( Apologies for multiple postings )
Dear colleagues,
University of Wurzburg, the newly established Center for Artificial
Intelligence and Data Science (CAIDAS)
has two Faculty openings:
(1) Applied Super-Resolution Professorship (Full W3 or Associate W2 with
tenure track W3)
https://euraxess.ec.europa.eu/jobs/136368
https://go.uniwue.de/w3-asr-en
Possible research areas are: super-resolution, inverse problems,
restoration, spectral imaging, machine learning for microscopy/telescopy,
machine learning for photogrammetry
(2) Digital Media Processing Professorship (Junior W1 with tenure track W2)
https://euraxess.ec.europa.eu/jobs/136382
https://go.uniwue.de/w1-dmp-en
Possible research areas are: inverse problems, super-resolution,
restoration, computational photography, compression, mobile/edge AI,
Augmented/Mixed Reality, machine learning for photogrammetry.
The application deadline is 17th of September, 2023, AoE.
Please share with your interested peers.
Thank you,
-Radu Timofte
(Chair for Computer Vision
, CAIDAS
& IFI
,
University of Wurzburg, Germany)
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From doya at oist.jp Tue Sep 12 05:17:44 2023
From: doya at oist.jp (Kenji Doya)
Date: Tue, 12 Sep 2023 09:17:44 +0000
Subject: Connectionists: Call for Visiting Scholars at OIST
In-Reply-To: <417150A9-3D27-4899-939C-FE7459903653@oist.jp>
References: <5086B636-4207-4F8C-9C8E-F6E20EA575B3@oist.jp>
<417150A9-3D27-4899-939C-FE7459903653@oist.jp>
Message-ID:
We are pleased to call for three types of Visiting Scholars at Okinawa Institute of Science and Technology:
1) Theoretical Sciences Visiting Program (TSVP): Deadline: Sept. 17, 2023
Visits of 3?12 months, research on theoretical projects.
https://groups.oist.jp/tsvp/application-visiting-scholars
2) Experimental Visiting Scholar Program (EVSP): Deadline: Sept. 30, 2023
Visits of 3?12 months by senior faculty, interdisciplinary projects preferred.
https://groups.oist.jp/tsvp/application-experimental-visiting-scholars
3) Domestic Visitors Program: Rolling Deadline
Visits up to 3 months, possibly as multiple visits, in any scientific field.
https://groups.oist.jp/tsvp/application-domestic-visiting-scholars
Please refer to each Program page as well as the overview:
https://groups.oist.jp/tsvp/application
OIST is actively seeking applications from women and underrepresented groups.
OIST also has up to 10 open faculty positions: Deadline October 31, 2023
https://groups.oist.jp/facultypositions
We look forward to your applications.
Best wishes,
Kenji
----
Kenji Doya
Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University
1919-1 Tancha, Onna, Okinawa 904-0495, Japan
Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu
From rjacobs at ur.rochester.edu Tue Sep 12 10:39:20 2023
From: rjacobs at ur.rochester.edu (Jacobs, Robert)
Date: Tue, 12 Sep 2023 14:39:20 +0000
Subject: Connectionists: Open faculty position in "cognition" at University
of Rochester
Message-ID:
See the job ad below for an open faculty position in "cognition" at the University of Rochester. People interested in computational modeling are strongly encouraged to apply.
Tenure-track Assistant Professor in Human or Animal Cognition
The University of Rochester?s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Animal or Human Cognition. Appointment will be at the tenure-track Assistant Professor level. We particularly welcome applications from candidates researching cognition through non-invasive behavioral, computational or neuroimaging methods. Animal researchers may be either field or laboratory based. Areas of study may center on any aspect of cognition, with an emphasis on higher-level cognitive processes such as decision-making, learning and memory, concepts, communication and language, reasoning, metacognition, and collective cognition. Successful candidates will develop a research program that establishes novel collaborations within the department and across the university, and will also be part of a university?wide community engaged in graduate and undergraduate education.
The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/). It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods.
Candidates should hold a PhD degree (or equivalent) in cognitive science, comparative cognition, psychology, neuroscience, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement of commitment to advancing equity and fostering an inclusive and diverse community, including past work and future goals, and contact information of three referees via the following website: https://www.rochester.edu/faculty-recruiting/positions/show/16192 . Questions concerning this position can be addressed to Prof. Dora Biro (dbiro at ur.rochester.edu), chair of the search committee, or Prof, Duje Tadin (dtadin at ur.rochester.edu), chair of the Department of Brain and Cognitive Sciences. Review of applications will begin on November 6, 2023 and continue until the position is filled. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education.
Salary: $105,000 ? $110,000 (9 month salary)
The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job?s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations.
EOE / Minorities / Females / Protected Veterans / Disabled
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From jkrichma at uci.edu Tue Sep 12 13:42:14 2023
From: jkrichma at uci.edu (Jeffrey L Krichmar)
Date: Tue, 12 Sep 2023 10:42:14 -0700
Subject: Connectionists: *** SAVE THE DATES *** From Animals to Animats 17:
The 17th International Conference on Simulation of Adaptive Behavior (SAB
2024) at UC Irvine
Message-ID: <34A44A2C-AE8F-49FB-8A6B-9BB7C5428E25@uci.edu>
*** SAVE THE DATES ***
>From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024)
When: September 9-12, 2024
Where: The University of California, Irvine, Irvine CA, USA
Website: https://sites.uci.edu/sab2024/
The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats.
SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in ?From Animals to Animats 17. SAB 2024.? Lecture Notes in Computer Science, Springer.
Typical, but not exclusive, topics of interest are:
- Artificial Intelligence, Artificial Life, and Computational neuroscience
o Action selection, behavioral sequencing
o Communication and language
o Emotion and motivation
o Internal models and representations
o Reinforcement learning
o Sensory-motor coordination, motor control
o Software agents and virtual creatures
- Philosophical Issues
o Consciousness
o Ethics
o Mind/Body problem
- Robotics
o Autonomous robotics
o Bio-inspired and hybrid robotics
o Cognitive robotics
o Developmental robotics
o Humanoid robotics
o Navigation and mapping
o Neurorobotics
- Self-Organizing Systems
o Body and brain co-evolution
o Collective and social behavior
o Dynamical systems approaches
o Evolutionary and co-evolutionary approaches
o Self-assembling and self-replication
IMPORTANT DATES (tentative):
Paper submission deadline: April 1, 2024
Workshop and Tutorial proposals submission deadline: April 15, 2024
Notice of acceptance: June 30, 2024
Camera-ready papers: July 15, 2024
Conference dates:
? Workshops and Tutorials: September 9, 2024
? Main Conference: September 10-12, 2024
ABOUT THE SAB CONFERENCE:
SAB started in 1990 (Paris, 24-28 September 1990). After years of great success, SAB has given birth to numerous other conferences (on genetics algorithms, reinforcement learning, swarm intelligence, bio-inspired systems, developmental robotics, etc.). In the forthcoming 17th edition, we want to both celebrate this prior success and expand into trending research areas.
Since SAB is held every two years, we want to strengthen the conference as a place to discuss the new trends in all relevant areas from the people bringing breakthrough ideas and results. SAB will continue to have a single-track format, to propose self-critical, thought-provoking, and nurturing discussions among specialists in each area as well as with specialists in other areas, so that the conference will both present the state of the art and inspire new ideas at the cutting edge of science. As steps in this direction, this year we will have a broad range of invited speakers to discuss both, longstanding topics in SAB, and the new trends in (and the future of) the Simulation of Adaptive Behavior.
The conference will be held at the CalIT2 Auditorium on the UC Irvine Campus (https://www.calit2.uci.edu).
We look forward to welcoming you at SAB 2024!
SAB Organizing Committee
-----------
Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu
http://www.socsci.uci.edu/~jkrichma
From adorney at andrew.cmu.edu Wed Sep 13 12:30:14 2023
From: adorney at andrew.cmu.edu (Aimee Dorney)
Date: Wed, 13 Sep 2023 12:30:14 -0400
Subject: Connectionists: SAND10 Call for Abstracts, Dec 4-5, 2023
Message-ID:
The 10th Statistical Analysis of Neuronal Data (SAND10) workshop will be
held *Dec 4-5, 2023 in Pittsburgh, PA.* We are soliciting abstracts for
contributed talks (see link below).
The goal of SAND is to discuss statistical challenges that arise with
state-of-the-art neuronal recording technologies. We seek to foster
discussion across computational and experimental neuroscience, in
particular about experiments and data which are pushing the boundaries of
what is currently possible (e.g., in terms of the number of neurons
recorded, spatial & temporal resolution of the recordings, stimulation
paradigms, behavioral paradigms, etc).
*The workshop will be in-person only. *For those who have attended SAND
previously, this SAND will be smaller and more focused than in years past.
We will have invited & contributed talks and breakout sessions (and no
poster session). The registration form for attendees will be available
shortly on the website below.
*Confirmed speakers:*
Aryn Gittis (CMU)
Michele Insanally (Pitt)
Nuo Li (Baylor)
Xaq Pitkow (CMU)
Nick Steinmetz (UW)
Carsen Stringer (Janelia)
Eric Yttri (CMU)
*Workshop webpage: *
https://sandworkshop2023.wordpress.com/
*Abstract submission for contributed talks (deadline - October 15): *
https://forms.gle/jMrpcTt8oiQ4pTvt7
Aimee Dorney (she/her/hers)
Senior Administrative Assistant, Neuroscience Institute
Carnegie Mellon University
412.268.6557 <412.268.6557> | www.cmu.edu/ni/
adorney at andrew.cmu.edu
4400 Fifth Avenue, Pittsburgh, PA 15213
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From dthakur at cdt.org Wed Sep 13 15:02:41 2023
From: dthakur at cdt.org (Dhanaraj Thakur)
Date: Wed, 13 Sep 2023 15:02:41 -0400
Subject: Connectionists: Applications are open for CDT's Non-Residential
Fellows program (2024)
Message-ID: <796739ac-1843-4bdc-bdfb-bde1abd840b9@cdt.org>
Hi everyone,
The Center for Democracy & Technology (CDT) is now
accepting applications for its 2024
cohort of non-residential Fellows. Our work addresses several tech
policy areas including the use of AI and the policy implications for
privacy, free expression and content moderation, security and
surveillance, and election integrity, among others.
The non-resident Fellows program is a great opportunity for researchers
to use their work to inform important tech policy debates. This includes
opportunities to publish their work, particularly for non-academic
audiences; attending and potentially presenting at CDT events that
include industry, government, civil society, and academic audiences; and
potentially participating in CDT led events to directly engage
policy-makers in the U.S., the EU, and elsewhere.
In addition, new Fellows will join an amazing network of researchers and
academics . We encourage
applications from interested persons who will commit to a two-year,
nonresident engagement and possess a Ph.D., JD, or equivalent in their
respective field of study. This can include but is not limited to
communication, public policy, sociology, psychology, computer science,
economics, law, anthropology, etc. Interested candidates should have
experience working on tech policy issues in the U.S. and/or the EU and
be affiliated with an academic institution at the time of their
application.
Applicants should submit a cover letter, including areas of interest and
how they are aligned with CDT?s work, resume, and one relevant writing
sample which should already be published. Please use this link to submit
your application
.
If you have any questions please please contact us: research at cdt.org
.
Finally, feel free to share with relevant colleagues.
Thanks!
Dhanaraj
--
*Dhanaraj Thakur* (he/him) | Research Director
Center for Democracy & Technology |*cdt.org *
*E:* dthakur at cdt.org | *P:*?+1 202 407 8849 | @thakurdhanaraj
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From kenneth_blum at harvard.edu Wed Sep 13 15:27:08 2023
From: kenneth_blum at harvard.edu (Blum, Kenneth I.)
Date: Wed, 13 Sep 2023 19:27:08 +0000
Subject: Connectionists: Faculty postion at Harvard bridging computational
neuroscience and AI
Message-ID:
The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member working across the fields of computational neuroscience and a machine learning approach to AI. Please forward this information to any interested candidates.
Applications should be submitted to this site: https://academicpositions.harvard.edu/postings/12751.
*****
HARVARD UNIVERSITY
CENTER FOR BRAIN SCIENCE and KEMPNER INSTITUTE FACULTY POSITION
The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member to lead an innovative research program working across the fields of Computational Neuroscience and Machine Learning to discover how brain computation can benefit artificial systems and how principles of computation and learning in artificial systems can be used to understand the brain. Current faculty use a variety of approaches to learn how brains compute and govern cognition and behavior. The successful candidate will be appointed an Institute Investigator within the Kempner Institute and will hold an academic appointment in an appropriate department in the life or physical sciences in the Faculty of Arts and Sciences at Harvard University. A full list of potential departments can be found here:
science.fas.harvard.edu/pages/about.
CBS (cbs.fas.harvard.edu) fosters interactions across disciplinary boundaries?faculty from several academic departments have neighboring labs and share common research facilities and meeting space; its connections also reach out across the University. The Kempner Institute (harvard.edu/kempner-institute) is building a community of scholars, who work across boundaries and fields to advance our understanding of intelligence, broadly speaking. Investigators will join a dynamic community of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives.
A doctoral degree in the life and physical sciences, or a related discipline is required by the time the appointment begins. Candidates should have demonstrated excellence in both research and teaching. A strong doctoral record is required and postdoctoral experience preferred. Teaching will include offerings at both undergraduate and graduate levels.
To apply, please use this link to submit a cover letter; curriculum vitae; three-page research statement; statement of teaching and advising philosophy; statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas; and up to three publications: https://academicpositions.harvard.edu/postings/12751.
Please also submit contact information, including email addresses, for 3-5 people who will be asked by a system-generated email to upload a letter of recommendation once the candidate?s application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received. At least one letter must come from someone who has not served as the candidate?s undergraduate, graduate, or postdoctoral advisor.
We will begin considering applications as they are received, but all materials, including letters of reference, should be submitted by October 15, 2023.
Note that there are three additional faculty searches ongoing currently with the Kempner Institute at Harvard University. One is in partnership with Psychology, another with Computer Science, and a third with Applied Mathematics. If applying to more than one, please read the search criteria carefully.
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines.
We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
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From Donald.Adjeroh at mail.wvu.edu Wed Sep 13 17:54:38 2023
From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh)
Date: Wed, 13 Sep 2023 21:54:38 +0000
Subject: Connectionists: Call for Participation -- SBP-BRiMS'2023 -- now one
week away ...
In-Reply-To:
References: ,
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Message-ID:
Apologies if you receive multiple copies
SBP-BRiMS 2023
2023 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
September 20-22, 2023
Will be held in hybrid mode
(In-person at Gates Hillman Complex, Carnegie Mellon University
4902 Forbes Ave, Pittsburgh, PA 15213, USA)
http://sbp-brims.org/
#sbpbrims
Conference Registration:
Registration is now open for the 2023 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Sep 20-22, 2023. Conference format is hybrid -- in person and virtual/online.
You can register at the website:
http://sbp-brims.org/2023/registration/
Conference Agenda:
The program will be available at ...
http://sbp-brims.org/2023/program/
Conference Attendance Fellowships:
A limited number of fellowships are available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited.
For more details, visit the conference website
http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information".
Key Highlights:
Co-location with IDEaS Conference:
SBP-BRiMS'23 is co-located with 2023 IDEaS Annual Conference (https://www.cmu.edu/ideas-social-cybersecurity/events/conference-index.html). SBP-BRiMS participants are invited to attend talks at the IDEaS conference as well.
Keynote Speakers:
Day 1: Nathaniel Persily, PhD
James B. McClatchy Professor of Law at Stanford Law School
https://law.stanford.edu/directory/nathaniel-persily/
Day 2: Charles Macal, PhD
Chief Scientist & Social and Behavioral Systems, Group Leader
Argonne-National Lab
https://www.anl.gov/profile/charles-m-macal
Tutorial Sessions:
Several half-day sessions will be offered as part of the conference.
Example tutorial topics include:
ORA and Information Operations,
by Jeff Reminga (CMU)
How to Publish/Evaluate your Model,
by Frank Ritter (Penn State)
Algorithmic Nudging in Healthcare,
by Muhammad Aurangzeb Ahmad & Ankur Teredesai (U. Washington, Tacoma)
More detailed information regarding the tutorial sessions will be posted at the conference website as soon as this becomes available.
Funding Panel & Cross-fertilization Roundtables:
The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-BRiMS related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA).
SBP-BRiMS'2023
Sept 20-22| In-Person at CMU, Pittsburgh, USA and Online/virtual
www.sbp-brims.org
Connect with #sbpbrims on social:
Follow us on Facebook, Twitter and LinkedIn to receive updates.
Visit our website: http://sbp-brims.org/
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From gualtiero.volpe at unige.it Fri Sep 15 04:10:55 2023
From: gualtiero.volpe at unige.it (Gualtiero Volpe)
Date: Fri, 15 Sep 2023 10:10:55 +0200 (CEST)
Subject: Connectionists: AVI 2024 Announcement: 3-7 June 2024, Genoa, Italy
Message-ID: <858293491.18.1694765455577@DESKTOP-F3QSVQ5>
International Conference on Advanced Visual Interfaces (AVI2024)
================================================================
3-7 June 2024
Genoa, Italy
https://avi2024.dibris.unige.it
================================================================
IMPORTANT DATES
Workshop and tutorial proposals:
Friday, December 1, 2023
Long and short papers:
Abstract submission: Wednesday, January 10, 2024
Paper submission: Wednesday, January 17, 2024
Posters and Demos:
Paper submission: Thursday, February 29, 2024
Doctoral Consortium:
Paper submission: Wednesday, March 27, 2024
(all deadlines are 23:59, AoE)
Submission webpage:
https://easychair.org/conferences/?conf=avi2024
----------------------------------------------------------------
International Conference on Advanced Visual Interfaces (AVI)
Since 1992, AVI has been a biennial appointment for a vast international community of experts with a broad range of backgrounds. Throughout three decades, the Conference has attracted leading researchers of Human-Computer Interaction (HCI) from all over the world, offering a forum to present and disseminate new technological results, paradigms, and visions for HCI and user interfaces.
Because of advanced technology and new possibilities for user interaction, AVI has broadened the topics it covers, still keeping its primary focus on the conception, design, implementation, and evaluation of novel visual interfaces.
While rooted in Italy, AVI is an actual international conference concerning the nationality of participants, authors of papers, and program committee members. The mixture of carefully selected research contributions paired with cordial Italian hospitality creates a unique conference atmosphere, which has made AVI an internationally recognized brand.
AVI 2024 is under the patronage of University of Genoa, Department of Informatics, Bioengineering, Robotics and Systems Engineering, Italy.
We look forward to your participation in AVI 2024!
Cristina Conati, AVI 2024 General Chair
Gulatiero Volpe, AVI 2024 General Chair
Ilaria Torre, AVI 2024 Program Chair
----------------------------------------------------------------
TOPICS
Topics of interest include (but are not limited to) the following:
Adaptive and Context-Aware Interfaces
Affective Visual Interfaces
Computer Supported Cooperative Work
Conversational Interfaces
Full-body Interaction
Human-AI Interaction
Information Visualization
Intelligent Interfaces
Engineering of Visual Interfaces and Interaction
Interaction Design Tools
Building Interactions: Hardware, Materials, and Fabrication
Interaction for the environment and environmental awareness
Interface Metaphors
Interfaces for Automotive
Interfaces for Big Data
Interfaces for e-Commerce and e-Branding
Interfaces for e-Culture and e-Tourism
Interfaces for End-User Development
Interfaces for i-TV
Interfaces for Recommender Systems
Interfaces for Social Interaction and Cooperation
Interfaces and Interactions for Inclusion, Accessibility and Aging
Interfaces for children
Learning, Education, and Families
Mobile Interaction
Motion-based Interaction
Multimodal Interfaces
(Multi)Sensory Interfaces
(Multi)Touch Interaction
Search Interfaces
Shape-Changing Devices
User Interfaces for the Internet of Things
Usability and Accessibility
Usability and (Cyber)Security
Virtual and Augmented Reality
Visual Analytics
----------------------------------------------------------------
**LONG AND SHORT RESEARCH PAPERS**
We solicit high-quality original research papers in the area of advanced visual interfaces and Human-Computer Interaction in general. All submissions will be peer-reviewed by an international panel of experts.
Accepted long and short research papers will be included in the Proceedings published by ACM Press and available in the ACM Digital Library.
Long and Short papers are publications that address AVI 2024 topics and describe original, unpublished research. Submissions must be anonymized.
The maximum length of long papers is 8 pages (with one additional page for references).
The maximum length of short papers is 4 pages (with one additional page for references).
Authors are required to send a 250-word abstract by the abstract deadline, one week before final submission, to speed up the paper assignment to reviewers.
**POSTER PAPERS**
The AVI 2024 Poster Track allows researchers and practitioners to present their work in progress and obtain precious feedback from their peers in an informal setting.
Poster submissions must be up to 2 pages (with one additional page for references), not anonymized.
**DEMO PAPERS**
The demo track is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive visual interfaces. We are looking for implementations of novel and exciting concepts or systems related to the main topics of AVI.
Demo papers must be up to 2 pages (with one additional page for references), not anonymized.
**WORKSHOP PROPOSALS**
We invite proposals for workshops that will facilitate the exchange of new ideas in all areas related to advanced visual interfaces and Human-Computer Interaction. We invite organizers to propose either half-day or one-day long workshops held on June 3 or June 4, 2024, at the AVI2024 venue.
**TUTORIALS**
We encourage the proposal of tutorials on specific topics related to AVI and general HCI approaches, methodologies, or technologies.
**DOCTORAL CONSORTIUM**
The goal of the Doctoral Consortium is to provide a setting for PhD students to present their work and receive feedback on their doctoral research plan and progress. Students will be offered the opportunity to articulate and discuss their problem statement, goals, methods, and results. The Doctoral Consortium also aims at providing students with guidance on various aspects of their research from established researchers and the other students participating in the sessions. Finally, the Doctoral Consortium seeks to motivate students in the development of their scientific curiosity and facilitate their networking within the research community.
----------------------------------------------------------------
AVI 2024 ORGANIZING COMMITTEE
General Chairs
Cristina Conati, University of British Columbia, Vancouver
Gualtiero Volpe, University of Genoa
Program Chair
Ilaria Torre, University of Genoa
Long Papers Chairs
Giuseppe Desolda, University of Bari
Michail Giannakos, Norwegian University of Science and Technology
Short Papers Chairs
Elisabetta Bevacqua, National Engineering School of Brest
Maurizio Mancini, Sapienza University of Rome
Workshop & Tutorial Chairs
Ignacio Aedo, Universidad Carlos III de Madrid
Rosella Gennari, Free University of Bozen-Bolzano
Poster Chairs
Masood Masoodian, Aalto University
Giovanna Varni, University of Trento
Demo Chairs
Radoslaw Niewiadomski, University of Genoa
Fabiana Vernero, University of Turin
Doctoral Consortium Chair
Fabio Patern?, CNR ISTI
Giuliana Vitiello, University of Salerno
Publicity Chairs
Beatrice Biancardi, LINEACT CESI
Federica Delprino, University of Genoa
Proceedings Chairs
Eleonora Ceccaldi, University of Genoa
Cigdem Beyan, University of Trento
Web Chair
Paola Barra, University of Naples Parthenope
AVI STEERING COMMITTEE
Paolo Bottoni,
Sapienza University of Rome, Italy
Paolo Buono
University of Bari, Italy
Tiziana Catarci
Sapienza University of Rome, Italy
Maria Francesca Costabile
University of Bari, Italy
Maristella Matera
Polytechnic of Milan, Italy
Massimo Mecella
Sapienza University of Rome, Italy
Kent Norman
University of Maryland, USA
Emanuele Panizzi,
Sapienza University of Rome, Italy
Genny Tortora
University of Salerno, Italy
Giuliana Vitiello
University of Salerno, Italy
Marco Winckler
Universit? C?te d'Azur, France
From sahidullahmd at gmail.com Sun Sep 17 05:24:34 2023
From: sahidullahmd at gmail.com (Md Sahidullah)
Date: Sun, 17 Sep 2023 14:54:34 +0530
Subject: Connectionists: Jobs: Assistant and Associate Professors in AI/ML
at TCG CREST, Kolkata, India
Message-ID:
** Apologies for cross-posting **
** Please forward this to anybody who might be interested. **
*****************************************************************************************************
Job Description:
We are seeking highly qualified and motivated individuals for the positions
of Assistant and Associate Professors in Artificial Intelligence (AI) and
Machine Learning (ML). The successful candidate will join our
esteemed faculty in the Institute for Advancing Intelligence
(IAI), TCG Centre for Research and Education in Science and Technology
(CREST), Kolkata, India, and contribute to our commitment to excellence in
research, teaching, and academic services. Please visit
https://www.tcgcrest.org/institutes/iai/ for more
information. TCG CREST has set up the campus in Sector V, Salt Lake City,
Kolkata, India. State-of-the-art laboratories and research facilities for
the individual Institutes, spacious classrooms and technology interventions
for executing both off-line and on-line academic classes and programs,
conference rooms, and other infrastructures provide the students and
the faculty an ideal environment for creative exchanges and high-end
research collaborations.
Main Responsibilities:
? Perform world-class research in the state-of-the-art AI/ML methods,
engage in scholarly research activities, including publishing in
reputable journals and presenting at prestigious international conferences.
? Mentor and advise Ph.D. students, providing guidance and support in
their academic and career development.
? Actively participate to develop multi-disciplinary research
collaboration with other verticals within TCG CREST and other renowned
institutions around the globe.
? Obtain Governmental and industrial funding for goal-oriented ML research
projects and consultancy
? Teach undergraduate and graduate courses in AI and ML, including but not
limited to: Deep Learning, Computer Vision, Natural Language Processing,
Predictive Analytics, Business Intelligence, Privacy-preserving ML,
Language Modeling, and Data Visualization.
? Participate in departmental meetings, committees, and other
service-related activities.
? Stay current with advancements in AI and ML fields and incorporate them
into teaching and research.
Qualifications:
? Minimum 3 years of post-Ph.D. research experience.
? A Ph.D. degree in a relevant field such as Computer Science, ML, Data
Science, Metaverse or a related discipline from a reputed institute in
India or abroad.
? A strong academic record at the graduate and post-graduate levels
? Strong expertise and research experience in AI/ML or related areas.
? Active engagement in scholarly activities, including a track record of
publications in reputable journals and presentations at top-tier
conferences.
Compensation: Competitive salary package with respect to the top Central
Institutes in India including IITs and IISc.
Contact: If interested, contact with your current CV and a research
statement to:
Prof. (Dr.) Swagatam Das,
Deputy Director, Institute for Advancing Intelligence
(IAI), TCG CREST, Kolkata, India.
E-mail: swagatam.das at tcgcrest.org, swagatamdas19 at yahoo.co.in
********************************************************************************************************************
--
Md Sahidullah
Assistant Professor, Institute for Advancing Intelligence, TCG CREST, India
website: *https://sahidullahmd.github.io/ *
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From tejas.savalia7 at gmail.com Fri Sep 15 11:31:17 2023
From: tejas.savalia7 at gmail.com (Tejas Savalia)
Date: Fri, 15 Sep 2023 11:31:17 -0400
Subject: Connectionists: Tenure track faculty position Cognition and
Cognitive Neuroscience Psychology at UMass Amherst
Message-ID:
Dear all,
The Department of Psychological and Brain Sciences at the University of
Massachusetts, Amherst (http://www.umass.edu/pbs/) is inviting applications
for a tenure track, academic year, faculty position at the Assistant
Professor level in its Cognition and Cognitive Neuroscience Psychology
program, starting in Fall 2024.
We are seeking outstanding applicants with expertise in any area of
cognitive psychology or cognitive neuroscience, including interdisciplinary
fields connected to cognitive psychology, whose work complements and
broadens existing strengths in our program.
We are known for interdisciplinary and cross-area collaborations and
innovation. The program has current strengths in attention,
decision-making, psycholinguistics, and mathematical modeling, with connections
to our Behavioral Neuroscience, Clinical Psychology, Developmental Science, and
Social Psychology programs. Across the university, our faculty have strong
connections to Linguistics, Information and Computer Sciences, and Speech,
Language, and Hearing Sciences, as well as the Initiative in Cognitive
Science, the Computational and Social Science Institute, the Institute for
Diversity Sciences, and the Institute for Applied Life Sciences.
The Department is interested in candidates who have demonstrated the ability
to contribute to the inclusive excellence and diversity mission of the
department, college, and university in research, teaching, and/or outreach.
Requirements
-
Applicants must have a Ph.D. in Cognitive Psychology or a closely
related field at the time of appointment.
-
A developing record of demonstrated excellence in research consistent
with an early career stage.
-
Strong methodological skills and a theoretically-based research program.
-
Demonstrated ability or strong promise of extramural funding.
-
A strong commitment to undergraduate education, graduate training and
mentoring, and diversity and inclusion.
About UMass Amherst
UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked
public research university offering a full range of undergraduate, graduate and
professional degrees. The University sits on nearly 1,450-acres in the
scenic Pioneer Valley of Western Massachusetts and offers a rich cultural
environment in a bucolic setting close to major urban centers. In addition,
the University is part of the Five Colleges (including Amherst College,
Hampshire College, Mount Holyoke College, and Smith College), which adds to
the intellectual energy of the region.
Application Instructions
Along with the application, please submit a cover letter, curriculum vitae,
statement of research interests, statement of teaching philosophy,
statement of contributions and future plans to diversity, equity and
inclusion (see below), samples of representative research papers, and
contact information for three (3) professional references. We will begin to
review applications on October 1, 2023, and will continue to accept
applications until the position is filled. Please submit materials online
to:
http://careers.massachusetts.edu/cw/en-us/job/520191?lApplicationSubSourceID=
As part of our commitment to supporting our multicultural community, we
seek an individual with a demonstrated commitment to diversity and one who
will understand and embrace university initiatives and aspirations. The
statement of contributions to diversity, equity, and inclusion should
identify past experiences and future goals. These contributions may result
from lived experiences, scholarships, and/or mentoring, teaching, and
outreach activities. (https://www.cns.umass.edu/diversity-equity-inclusion)
The University is committed to active recruitment of a diverse faculty and
student body. The University of Massachusetts is an Affirmative
Action/Equal Opportunity Employer of women, minorities, protected veterans,
and individuals with disabilities and encourages applications from these
and other protected group members. Because broad diversity is essential to
an inclusive climate and critical to the University?s goals of achieving
excellence in all areas, we will holistically assess the many
qualifications of each applicant and favorably consider an individual?s
record working with students and colleagues with broadly diverse
perspectives, experiences, and backgrounds in educational, research or
other work activities. We will also favorably consider experience
overcoming or helping others overcome barriers to an academic career and
degree.
Best,
Tejas Savalia
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From david at irdta.eu Sat Sep 16 10:42:36 2023
From: david at irdta.eu (David Silva - IRDTA)
Date: Sat, 16 Sep 2023 16:42:36 +0200 (CEST)
Subject: Connectionists: DeepLearn 2024
Message-ID: <2104554845.546707.1694875356492@webmail.strato.com>
******************************************************
11th INTERNATIONAL SCHOOL ON DEEP LEARNING
(and the Future of Artificial Intelligence)
DeepLearn 2024
Porto ? Maia, Portugal
July 15-19, 2024
https://deeplearn.irdta.eu/2024/
******************************************************
Co-organized by:
University of Maia
Institute for Research Development, Training and Advice ? IRDTA
Brussels/London
******************************************************
Early registration: October 23, 2023
******************************************************
SCOPE:
DeepLearn 2024 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth, Bari and Las Palmas de Gran Canaria.
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, etc. etc.
The field is also raising a number of relevant questions about robustness of the algorithms, explainability and important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion.
Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a few hackathon-type competitions among students, which will tackle the most active and promising topics. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
ADDRESSED TO:
Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well.
Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses.
Overall, DeepLearn 2024 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.
VENUE:
DeepLearn 2024 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be:
University of Maia
Avenida Carlos de Oliveira Campos - Cast?lo da Maia
4475-690 Maia
Porto, Portugal
https://www.umaia.pt/en
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes.
This year?s edition of the school will schedule hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges.
Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.
KEYNOTE SPEAKERS: (to be completed)
Jiawei Han (University of Illinois Urbana Champaign), How Can Large Language Models Contribute to Effective Text Mining?
PROFESSORS AND COURSES: (to be completed)
Luca Benini (Swiss Federal Institute of Technology Zurich), [intermediate/advanced] Open Hardware Platforms for Edge Machine Learning
Peng Cui (Tsinghua University), [intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity
Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware
Yulan He (King?s College London), [intermediate/advanced] Machine Reading Comprehension with Large Language Models
George Karypis (University of Minnesota), tba
Hermann Ney (RWTH Aachen University), tba
Massimiliano Pontil (Italian Institute of Technology), tba
Laurens van der Maaten (Meta AI), [introductory/intermediate] Introduction to Computer Vision
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants.
They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 7, 2024.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry.
Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event.
Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024.
HACKATHON ACTIVITIES:
A section of the event will consist of hands-on activities including mini-hackathons, where participants will work in teams to tackle several machine learning challenges.
EMPLOYERS:
Organizations searching for personnel well skilled in deep learning will be provided a space for one-to-one contacts.
It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event.
Expressions of interest have to be submitted to david at irdta.eu by July 7, 2024.
SPONSORS:
Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from
https://deeplearn.irdta.eu/2024/sponsoring/
ORGANIZING COMMITTEE:
Jos? Paulo Marques dos Santos (Maia, local chair)
Carlos Mart?n-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Jos? Lu?s Reis (Maia)
Lu?s Paulo Reis (Porto)
David Silva (London, organization chair)
REGISTRATION:
It has to be done at
https://deeplearn.irdta.eu/2024/registration/
The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all program activities and lunches.
There are several early registration deadlines. Fees depend on the registration deadline.
The fees for on site and for online participation are the same.
ACCOMMODATION:
Accommodation suggestions will be available at
https://deeplearn.irdta.eu/2024/accommodation/
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. This should be sufficient for those participants who plan to request ECTS recognition from their home university.
QUESTIONS AND FURTHER INFORMATION:
david at irdta.eu
ACKNOWLEDGMENTS:
Universidade da Maia
Universidade do Porto
Universitat Rovira i Virgili
Institute for Research Development, Training and Advice ? IRDTA, Brussels/London
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From japkowic at american.edu Fri Sep 15 15:10:42 2023
From: japkowic at american.edu (Nathalie Japkowicz)
Date: Fri, 15 Sep 2023 19:10:42 +0000
Subject: Connectionists: Open Rank Position: American University
Message-ID:
Position Announcement: Open Rank
Department of Computer Science
College of Arts and Sciences
American University
The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a full-time, open-rank, tenure-line position beginning August 1, 2024. Applicants should have a PhD or an anticipated PhD completion by August 2024 in Computer Science or related fields. Depending on experience and qualification, the appointee to this position may be recommended for tenure at the time of hiring. Candidates can apply at the assistant, associate, or full professor level and we welcome applications from both academic and nonacademic organizations.
We are looking for candidates who are excited at the prospect of joining a growing department where they will be able to make their mark. Preference will be given to candidates with a record of high-quality scholarship. For candidates applying at the associate or full professor level, a record of external funding is also expected. The committee will consider candidates engaged in high-quality research in any area of Computer Science related to Artificial Intelligence (E.g., Natural Language Processing, Machine Learning, Network Analysis, Information Visualization), Theoretical Computer Science (Computational Theory, Graph Theory, Algorithms), Cybersecurity, and other traditional areas of Computer Science (E.g., Software Engineering, Database Systems, Graphics, etc.). The University has areas of strategic focus for research in Data Science and Analytics, Health, Security, Social Equity, and Sustainability. Applicants from historically underrepresented minority and identity groups are strongly encouraged to apply. In addition to scholarship and teaching, responsibilities will include participation in department, school, and university service activities. Attention to Diversity, Equity and Inclusion (DEI) in all activities within the academic environment are expected.
Salary and benefits are competitive. An overview of the benefits offered by American University can be found at https://www.american.edu/hr/benefits/.
Review of applications will begin on November 1. Please submit applications via Interfolio : http://apply.interfolio.com/130734 .Please include a letter of application, curriculum vitae, list of three references, recent teaching evaluations (when possible), a diversity statement, and copies of recent published papers or working papers. Please contact Department Chair Nathalie Japkowicz at japkowic at american.edu if you have any questions.
American University is a private institution located in the nation?s capital and within easy reach of the many centers of government, business, research, and the arts. For more information about American University, visit www.american.edu.
The Department of Computer Science is a small but exciting department with a growing student population and strong research achievements. American University has identified Computer Science as one of its targets for growth. Computer Science also falls within several areas of strategic focus identified in the University?s strategic plan. Along with the Department of Mathematics and Statistics, the Department of Physics, the Game Center, and the Entrepreneurship and Innovation Incubator, the Department of Computer Science is located in the new Don Myers Technology & Innovation Building. Computer Science currently offers an undergraduate and a Master?s program with four different tracks (Applied, Data Science, Game, and Cybersecurity). Learn more about the College of Arts and Sciences at https://www.american.edu/cas/ and about the Department of Computer Science at https://www.american.edu/cas/cs/.
American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual?s genetic information or any other bases under federal or local laws (collectively ?Protected Bases?) in its programs and activities.
Hiring offers for this position are contingent on the successful completion of a background check.
---
Nathalie Japkowicz, Ph.D. Links to Publications
Professor and Chair Google Scholar
Department of Computer Science DBLP
American University
http://fs2.american.edu/japkowic/www/
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From serendipity.alvin at gmail.com Mon Sep 18 04:22:54 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Mon, 18 Sep 2023 16:22:54 +0800
Subject: Connectionists: 2023 International Conference on Edge Computing
(EDGE 2023)
Message-ID:
[Apologies if you receive multiple copies of this message]
Call For Papers
=============================================================================
CFP: International Conference on Edge Computing (EDGE 2023)
December 17 - 18, 2023
[Paper submission due: September 14, 2023]
http://theEdgeComputing.org/2023/
The International Conference on Edge Computing (EDGE) aims to become a
prime international forum for both researchers and industry practitioners
to exchange the latest fundamental advances in the state of the art and
practice of Edge computing, identify emerging research topics, and define
the future of Edge computing. EDGE covers the localized resource sharing
and connections with the cloud. Part of the SCF 2018, EDGE 2018 was
successfully held on June 25 - June 30, 2018, Seattle, USA. Part of the SCF
2019, EDGE 2019 was successfully held on June 25 - 30, 2019, San Diego,
USA. Part of the SCF 2020 and SCF 2021, EDGE 2020 and EDGE 2021 were
successfully held over the Internet. SCF 2022 was held successfully in
Hawaii, USA. In 2023, we will celebrate our 2023 version of gathering, to
strive to advance the largest international professional forum on edge
computing.
EDGE 2023 is a member of Services Conference Federation (SCF). SCF 2023
will have the following 10 service-oriented sister conferences: 2023
International Conference on Web Services (ICWS 2023), 2023 International
Conference on Cloud Computing (CLOUD 2023), 2023 International Conference
on Services Computing (SCC 2023), 2023 International Conference on Big Data
(BigData 2023), 2023 International Conference on AI & Mobile Services (AIMS
2023), and 2023 International Conference on Metaverse (Metaverse 2023),
2023 International Conference on Internet of Things (ICIOT 2023), 2023
International Conference on Cognitive Computing (ICCC 2023), 2023
International Conference on Edge Computing (EDGE 2023), and 2023
International Conference on Blockchain (ICBC 2023).
The technical program of EDGE 2023 will include a Research Track, an
Application Track, and a Short Paper Track. The EDGE 2023 tracks seeks
original, UNPUBLISHED research papers reporting substantive new work in
various aspects of edge infrastructure and applications. Research Track
papers MUST clearly indicate their contributions to the field of edge
computing technologies, applications and solutions. All papers MUST
properly cite related work in the field, such as those published in the
proceedings of ICWS, SCC, CLOUD, AIMS, SERVICES, BigData, ICIOT, ICBC,
EDGE, APSCC, ECOWS, and
==================
Important Dates
==================
- Regular paper submission due: October 8, 2023
- Review comments to Regular paper submission: October 20, 2023
- Camera ready manuscripts due: October 25, 2023
- Conference dates: December 17 - 18, 2023
==================
Topics of interest include, but are not limited to
==================
- Edge Storage
- Edge Connections
- Edge Analytics
- Edge AI
- Edge Processing Engine
- Industry-Specific Edges
- Edge Application Innovations
- 5G and Edge
- 5G and Cloud
- Edge Security, Privacy and Trust
==================
Paper Submission
==================
All submitted manuscripts will be peer-reviewed by at least 3 program
committee members. Accepted and presented papers from all EDGE tracks will
appear in the conference proceedings.
Submitted Research Track and Application Track manuscripts will be limited
to 15 (LNCS Proceedings style) pages and REQUIRED to be formatted using the
LNCS Proceedings template (WORD, Latex). Submitted Short Paper track
manuscripts will be limited to 8 (LNCS Proceedings style) pages. The
authors can extend a maximum of 2 pages for each paper but will have to pay
extra fees for each extra page. Unformatted papers and papers beyond the
maximum page limit may not be reviewed. Electronic submission of
manuscripts (in PDF or Word format) is required. Detailed instructions for
electronic paper preparation and submission, panel proposals, tutorial
proposals, workshop proposals, and review process can be found at
http://theedgecomputing.org/2023/.
The Proceedings of EDGE 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. Currently
the Abstracting and Indexing services covered by Springer's data feeds for
LNCS proceedings include ISI Conference Proceedings Citation Index
(included in Web of Science), Engineering Index EI (Compendex and Inspec
databases), DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, and ZBlMath.
For all 10 conferences of SCF 2023, the content of this proceedings volume
will be made freely accessible to anyone in the Springer's digital library
after four years upon publication.
At least one author of each accepted paper is required to register to the
conference and present the paper. One Best Paper award and one Best Student
Paper award will be granted at EDGE 2023. The first author of the best
student paper must be a full-time student. The Best Paper Awards will be
sponsored by Springer, which is a leading global scientific, technical and
medical portfolio, providing researchers in academia, scientific
institutions and corporate R&D departments with quality content through
innovative information, products and services.
Extended versions of selected papers will be invited for special issues in
the related journals including IJWSR(SCI), Electronics (SCI
IF=2.9),Sustainability (SCI and SSCI, IF=3.9), Remote Sensing (SCI,
IF=5.0), Mathematics (SCI, IF=2.4), Journal of Cybersecurity and
Privacy,STBD, STSC, STCC, STIOT and IJBPIM.
ICBC 2023 Submission
EDGE 2023 Application and Industry Track
https://edas.info/newPaper.php?c=30770&track=117344
EDGE 2023 Research Track
https://edas.info/newPaper.php?c=30770&track=117345
EDGE 2023 Short Paper Track
https://edas.info/newPaper.php?c=30770&track=117346
==================
Organizing Committee
==================
- Program Chairs
Jun Feng, Huazhong University of Science and Technology, China
Min Luo, Georgia Tech, USA
Frank Jiang, Deakin University, Australia
- Operations Committee
Jing Zeng, China Gridcom Co.,Ltd.
Yishuang Ning, Tsinghua University
Sheng He, Tsinghua University
- Program Committee
Xianghan Zheng, Fuzhou University, China
Le Chang, Guangdong University of Technology, China
Tao Han, New Jersey Institute of Technology, USA
Tessema Mengistu, Virginia
Tech, USA
Rui Andr? Oliveira, University of Lisbon, Portugal
Weichao Wang, University of North Carolina at Charlotte, USA
Mengjun Xie, University of Tennessee at
Chattanooga, USA
Ozgur Ertug, Gazi University,Turkey
Midori Sugaya,
Shibaura Institute of Technology, Japan
Javid Taheri, Karlstad University, Sweden
Hung-Yu Wei, National Taiwan University, China
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From pmitra3 at gmail.com Mon Sep 18 17:44:13 2023
From: pmitra3 at gmail.com (pmitra3 at gmail.com)
Date: Mon, 18 Sep 2023 23:44:13 +0200
Subject: Connectionists: InfoWild'23,
1st CIKM International Workshop on Knowledge Extraction and
Management for Wildlife Conservation
In-Reply-To: <000001d9d55e$eb707c40$c25174c0$@gmail.com>
References: <000001d9d55e$eb707c40$c25174c0$@gmail.com>
Message-ID: <010e01d9ea79$4562de30$d0289a90$@gmail.com>
CFP: InfoWild'23, 1st CIKM International Workshop on Knowledge Extraction
and Management for Wildlife Conservation
Using artificial intelligence to assist in decision making is crucial to
wildlife conservation. These technologies can address several challenges
such as human-wildlife conflict, poaching, loss of habitat, etc. We solicit
papers describing original research, surveys, tutorials, and vision papers
to address issues related to AI in wildlife conservation and ecology in
general.
The objective of this workshop is to bring together interested researchers
and practitioners in artificial intelligence and data analytics and ecology
and wildlife conservations to share preliminary results, discuss emerging
issues and their solutions, and build a community that can together address
this pressing challenge.
For more information, please see:
https://wildinfo.ist.psu.edu/ for the formal call.
Venue: Birmingham, U.K.
Deadline: 20th September, 2023 (slight extensions possible)
Date: 22nd October, 2023.
Submissions are also invited to our sister workshop on geospatial AI and
wildlife conservation.
Venue: Hamburg, Germany on 13th Nov, 2023. Submission date: 26th Sept.
https://geowildlife2023.ist.psu.edu/
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From junfeng989 at gmail.com Mon Sep 18 22:37:42 2023
From: junfeng989 at gmail.com (Jun Feng)
Date: Tue, 19 Sep 2023 10:37:42 +0800
Subject: Connectionists: Special Issue on Recent Advances in Security,
Privacy, and Trust [5 Journals: Electronics;
Journal of Cybersecurity and Privacy; Mathematics; Remote Sensing;
Sustainability]
Message-ID:
Call for Papers: [Electronics (IF: 2.9); Journal of Cybersecurity and
Privacy; Mathematics (IF: 2.4); Remote Sensing (IF: 5.0); Sustainability
(IF: 3.9)] Topic on Recent Advances in Security, Privacy, and Trust
The full call for papers is available on the official website:
https://www.mdpi.com/topics/ELY82W061L
==================
Participating Journals
==================
- Electronics (SCIE, IF=2.9)
- Journal of Cybersecurity and Privacy
- Mathematics (SCIE, IF=2.4)
- Remote Sensing (SCIE, IF=5.0)
- Sustainability (SCIE, IF=3.9)
==================
Paper Submission
==================
All papers need to be submitted electronically through the website:
https://www.mdpi.com/topics/ELY82W061L
==================
Important Dates
==================
Abstract submission deadline: 31 October 2025
Manuscript submission deadline: 31 December 2025
==================
Topic Information
==================
The proliferation of information, communication, and computer technologies
has brought us into the realm of cyber-physical-social system (CPSS). CPSS
comprises of the cyber space, physical space and social space, and their
integration such as cyber-physical system (CPS), Internet of Thing (IoT),
social computing system, and even the system integrating all three spaces.
Recently, CPSS has brought enormous opportunities that have significantly
influenced applications. However, there are increasing security, privacy,
and trust concerns such as exposure of user privacy and business
information in CPSS. Although theories and technologies about security,
privacy, and trust have been widely studied and applied in recent years,
existing methods are still insecure, impractical or inefficient. To address
these challenges, this topic solicits the latest research outcomes and
developments on security, privacy, and trust.
The topics of interest include, but not limited to the following:
- Privacy-enhancing technologies
- Privacy-preserving/secure/trust data analysis and processing
- Network security, privacy, and trust
- Differentially private data analysis
- Sustainable security, privacy, and trust
- Economics of security, privacy, and trust
- Blockchain and its applications
- IoT/CPS/CPSS security, privacy, and trust
- Security, privacy, and trust in edge/fog/cloud computing
- AI/Machine learning security
- Federated learning
- System security
- Hardware security
- Web security, privacy, and trust
- Big data, artificial intelligence for security, privacy, and trust
- Digital twin security, privacy, and trust
- Cryptographic techniques, cryptographic protocols
==================
Topic Editors
==================
- Jun Feng (Lead Editor)
Huazhong University of Science and Technology, China
Email: junfeng989 at gmail.com
Website: http://faculty.hust.edu.cn/fengjun6/en/
- Changqing Luo
Virginia Commonwealth University, USA
Email: cluo at vcu.edu
Website: http://www.people.vcu.edu/~cluo/
- Mamoun Alazab
Charles Darwin University, Australia
Email: mamoun.alazab at cdu.edu.au
Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab
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From alamer_2005 at yahoo.com Tue Sep 19 01:11:14 2023
From: alamer_2005 at yahoo.com (Ali Ismail Awad)
Date: Tue, 19 Sep 2023 05:11:14 +0000 (UTC)
Subject: Connectionists: Call for Papers: 2023 IEEE Global Conference on
Artificial Intelligence & Internet of Things, Dubai, UAE
In-Reply-To: <1244506902.3646461.1695100054627@mail.yahoo.com>
References: <1244506902.3646461.1695100054627.ref@mail.yahoo.com>
<1244506902.3646461.1695100054627@mail.yahoo.com>
Message-ID: <412087785.3645854.1695100274258@mail.yahoo.com>
Dear Colleagues,?
Please consider submitting your high-quality works to the?2023 IEEE Global Conference on Artificial Intelligence & Internet of Things that will be held in Dubai, UAE, December 10-11-2023.?
More information can be found here:?IEEE GCAloT?
|
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IEEE GCAloT
IEEE Global Conference on AI & IoT is a leading forum for researchers, practitioners and stakeholders from acade...
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I look forward to your submissions.?
Best regards,Ali.?
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From mihai.constantin84 at upb.ro Tue Sep 19 03:58:14 2023
From: mihai.constantin84 at upb.ro (MIHAI-GABRIEL CONSTANTIN (115317))
Date: Tue, 19 Sep 2023 07:58:14 +0000
Subject: Connectionists: [CfP] 1st Call for Participation: MediaEval 2023
Predicting Video Memorability Task
Message-ID:
[Apologies for cross-postings]
*******************************************************
1st CALL FOR PARTICIPATION & DEVELOPMENT DATA RELEASE
Predicting Video Memorability Task
2023 MediaEval Benchmarking Initiative for Multimedia Evaluation
https://multimediaeval.github.io/editions/2023/tasks/memorability/
*******************************************************
Register to participate by filling in the MediaEval 2023 Registration form:
https://docs.google.com/forms/d/e/1FAIpQLSfu1TfBZ5PKN1MdTrJFjEKt7r2_qTZw-_WBG8VTgSpT7JWi9A/viewform
*******************************************************
The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered.
Participants will be provided with an extensive dataset of videos with memorability annotations, related information, pre-extracted state-of-the-art visual features, and electroencephalography (EEG) recordings. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the dataset comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. The outputs of the prediction models ? i.e., the predicted memorability scores for the videos ? will be compared with ground truth memorability scores using classic evaluation metrics (e.g., Spearman?s rank correlation).
*******************************************************
Generalization subtask 1
*******************************************************
The aim of the Generalization subtask is to check system performance on other types of video data. Participants will train their system on one of the two sources of data we provide and will test them on the other source of data.
*******************************************************
EEG-based prediction subtask 2
*******************************************************
The aim of the Memorability-EEG pilot task is to promote interest in the use of neural signals?either alone, or in combination with other data sources?in the context of predicting video memorability by demonstrating what EEG data can provide. The dataset will be a set of features pre-extracted from the EEG from subjects as they viewed the videos, for a subset of videos from task 1. This task requires participants to automatically predict if a person will remember a video. Participants are required to generate automatic systems that predict if a person will remember a new video based on the given video dataset and their EEG record.
***********************
Target communities
***********************
Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, and machine learning (although not limited to these areas).
******************************
Workshop
******************************
Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held in Bergen, Norway with opportunity for online, on 12-13 January 2023. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org).
******************************
Important dates (tentative)
******************************
25 August 2023: Data release
30 November 2023: Runs due and results returned. Exact dates to be announced.
8 December 2023: Results returned
15 December 2023: Working notes paper
1-2 February 2024: 14th Annual MediaEval Workshop, Collocated with MMM 2024 in Amsterdam, Netherlands and also online.
***********************
Task coordination
***********************
Alba Garc?a Seco de Herrera, Sebastian Halder, Ana Matran-Fernandez, University of Essex, UK;
Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania;
Lorin Sweeney, Graham Healy, Alan Smeaton, Dublin City University, Ireland;
Claire-H?l?ne Demarty, InterDigital, R&I, France;
Camilo Fosco, Massachusetts Institute of Technology Cambridge, Massachusetts, USA;
Rukiye Savran Kiziltepe, Karadeniz Technical University, Turkey.
On behalf of the Organisers,
Mihai Gabriel Constantin
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From maroua.mehri at gmail.com Tue Sep 19 04:21:04 2023
From: maroua.mehri at gmail.com (Maroua MEHRI)
Date: Tue, 19 Sep 2023 10:21:04 +0200
Subject: Connectionists: M2/PFE internship position: AI-driven system for
low latency pattern matching in disturbed electrocardiograms
Message-ID:
*------------------------[English version]------------------------*
*M2/PFE internship position:* AI-driven system for low latency pattern
matching in disturbed electrocardiograms
Hello,
Epsidy is a dynamic young startup in the field of cardiac MRI. Epsidy is in
a close-knit relationship with the IADI Lab, and any Epsidy position
includes regular exchanges with researchers.
Epsidy has an end-of-studies internship position (Master 2 or Engineer) on
the topic of developing AI-driven system for low latency pattern matching
in disturbed electrocardiograms.
A detailed description of the M2/PFE internship position can be found in
the attached file.
Thank you in advance for sharing this announcement.
Apologies if you receive multiple copies of this message.
Best regards,
*------------------------[Version Fran?aise]------------------------*
*Appel ? candidatures pour un stage de fin d'?tudes (Master 2 ou
Ing?nieur):* AI-driven system for low latency pattern matching in disturbed
electrocardiograms
Bonjour ? tou.te.s,
Epsidy, une start-up de la MedTech issue d'un laboratoire INSERM localis?e
dans les locaux du CHU de Nancy, recherche actuellement un.e candidat.e
pour un stage de fin d'?tudes (Master 2 ou Ing?nieur) pour travailler sur
le d?veloppement d'un syst?me intelligent pour la correspondance de motifs
dans les ?lectrocardiogrammes perturb?s.
Veuillez trouver en pi?ce jointe le descriptif du stage.
En vous remerciant d'avance de bien vouloir diffuser cette annonce.
Toutes nos excuses pour les ?ventuels doublons.
Cordialement,
--
Maroua MEHRI
Assistant Professor, Ph.D. - Engineer in Computer Science
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From mingbo.cai at gmail.com Tue Sep 19 09:21:29 2023
From: mingbo.cai at gmail.com (Mingbo Cai)
Date: Tue, 19 Sep 2023 22:21:29 +0900
Subject: Connectionists: Two tenure-track faculty positions at the
University of Miami (Department of Psychology)
Message-ID:
The Department of Psychology at the University of Miami, a private
institution in a diverse and metropolitan city, invites applications for
two full-time, tenure-eligible, or tenure-track faculty members to join our
department in August 2024. One position is in the department?s Adult
Division, and the other is the Cognitive & Behavioral Neuroscience division.
*Adult Division - *The specific area is open. Area(s) of focus could
include, but are not limited to, basic research on affect, cognitive
science, and/or mechanistic studies related to mental health or the impact
of disparities. We also welcome outstanding scholars with expertise in one
or more of the following methods, including lab-based experimental,
neurophysiological, computational, and/or mobile health/digital
phenotyping. Individuals with interests in data science, including advanced
quantitative techniques, big data, and machine learning are also encouraged
to apply.
*Cognitive & Behavioral Neuroscience Division - *The specific area is open,
but we are particularly interested in individuals who incorporate
innovative and sophisticated cognitive, affective, or social neuroscience
methods into their research program.
Candidates must hold a Ph.D. (non-clinical or clinical) by the appointment
start date. Applications will be considered at the rank of Assistant
Professor and Associate Professor level. Appointment is expected to start
on August 15, 2024. Applications can be submitted via the UM Careers
website ? Adult Division posting
and Cognitive & Behavioral Neuroscience posting
.
Review of applications will begin on October 1, 2023 and continue until the
position is filled. Inquiries, requests for information, and nominations
can be sent to the Search Committee Chairs (Adult ? Kiara Timpano
k.timpano at miami.edu; Cognitive & Behavioral Neuroscience ? Aaron Heller
aheller at miami.edu).
*------------------------------ *
The University of Miami is an Equal Opportunity Employer ? Females,
Minorities, Protected Veterans, and/or Individuals with Disabilities are
encouraged to apply. Applicants and employees are protected from
discrimination based on certain categories protected by Federal law. Click
here for additional
information.
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From georg.dorffner at meduniwien.ac.at Tue Sep 19 15:26:57 2023
From: georg.dorffner at meduniwien.ac.at (Georg Dorffner)
Date: Tue, 19 Sep 2023 21:26:57 +0200
Subject: Connectionists: Tenure Track Assistant Professor Position in Deep
Learning Methods & Applications, Medical University of Vienna
Message-ID:
Tenure-track Assistant Professor in Deep Learning Methods & Applications
We are recruiting a tenure-track assistant professor who will establish
a cutting-edge research program
in deep learning methods & applications. The successful candidate will
join the Institute of Artificial
Intelligence at the Medical University of Vienna, with ample
opportunities to integrate into the European
research landscape, including the European Lab for Learning and
Intelligent Systems (ELLIS) and Euro-
pean Health Data Space. This is a university-funded tenure-track
position with startup package / core
funding. The call is open to candidates seeking to establish their first
independent group (~ERC Starting
Grant) as well as to candidates who are already established group
leaders (~ERC Consolidator Grant).
The Goal
Machine learning is transforming medicine, for example by enabling
physicians to incorporate vast amounts of data and knowledge into eachof
their clinical decisions. Machine learning also advances our
understanding of the biology that underlies human diseases, with future
perspectives to identify molecular disease mechanisms in each individual
patient and to devise personalized therapies. Researchers at the
MedicalUniversity of Vienna, together with the CeMM Research Center for
Molecular Medicine and the Austrian Academy of Sciences, are working
toestablish an ambitious research program focusing on ?Machine Learning
in Biology and Medicine?, with three pillars: (i) methodological
researchin machine learning, focusing on interpretable deep learning,
causal modeling, federated machine learning, and time series analysis;
(ii) proof-of-concept applications in biology and medicine, including
personalized medicine and systems biology; (iii) dissemination and
impact throughsustainable clinical applications, contribution to
international consortia, creation of startup companies, and a commitment
to research-centricteaching and public outreach. The successful
candidate will contribute creatively and proactively to one or more of
these directions.
The Candidate
We are looking for candidates with strong expertise in deep learning
methodology & applications and the ambition to lead an academic
researchgroup that will pursue world-class research in this area. The
ideal candidates will have a strong publication record in methodological
research(e.g., papers at leading machine learning conferences, journals,
widely cited preprints) and a current or future interest in applying
their expertise in medicine or biology, in collaboration with biomedical
and clinical researchers. A typical background would be a PhD and some
postdoctoralresearch in machine learning, computer science, statistics,
bioinformatics or another quantitative field, ideally combining
methodologically andapplied research. We are open to early-stage
candidates who want to start their first independent research group, and
to established groupleaders who are looking for new challenges (e.g.,
moving closer to applications in medicine or biology). Responsibilities
and support will becommensurate with experience and level of seniority.
The position does not require any undergraduate teaching but does
provide opportunitiesto contribute to graduate-level teaching and
curriculum development. Prior experience in teaching machine learning is
therefore a plus. German-language skills are not required
(graduate-level teaching is in English), and both the city and the
university provide a highly internationalenvironment. Vienna as a city
and the university as an employer provide a family-friendly environment
with essentially free kindergarten anddaycare for children aged 1 to 6,
a high-quality public school system, and many international schools. The
university provides a tenure-trackposition with a highly competitive
personal salary, an excellent employee benefits package, and a startup
package / core funding.
The Host Institution
The Medical University of Vienna is Europe?s largest medical school and
one of the oldest in the world. It was founded in 1365 as the
medicalfaculty of the University of Vienna, and it has operated as an
autonomous university since 2004. Physicians at the Medical University
treat~95,000 patients per year as inpatients and ~500,000 as
outpatients, creating major opportunities for data-driven research. The
MedicalUniversity has a dedicated Department for Medical Data Science,
with research in statistics, medical informatics, complexity sciences,
and otherareas. In this department, the Institute of Artificial
Intelligence (AI Institute) seeks to advance biomedical research and
clinical practice throughmethods development, applications, and teaching
in machine learning and artificial intelligence. The AI Institute is
directed by Christoph Bock(https://tinyurl.com/chrbock), who is
Professor of Medical Informatics at the Medical University of Vienna and
Principal Investigator at theCeMM Research Center for Molecular Medicine
of the Austrian Academy of Sciences. He is a member of the Human Cell
Atlas, Fellow of ELLIS,and recipient of important research awards (Otto
Hahn Medal, ERC Starting Grant, ERC Consolidator Grant, Overton Prize,
Erwin Schr?dingerPrize). The AI Institute currently hosts two additional
group leaders and their research groups: Georg Dorffner
(https://tinyurl.com/gdorffner),who is the vice president of the
Austrian Society for Artificial Intelligence, and Matthias Samwald
(https://tinyurl.com/samwald), who coordinates a major EU project that
implements computational methods in clinical practice. The Medical
University of Vienna hosts a rapidly growingcluster of machine learning
researchers in areas spanning radiology, dermatology, bioinformatics,
and synthetic biology. Many researchers atthe Medical University of
Vienna have successfully applied for European Research Council (ERC) and
other high-profile grants (e.g., the AustrianExcellence Initiative), and
extensive training and support is available in Vienna for researchers
preparing such grant proposals.
Please send your application by e-mail
tofaculty-recruiting5 at meduniwien.ac.at. The application should include:
cover letter, curriculum vitae,list of publication, five key
publications with download links and a brief statement about their
relevance, summary of research and teachingactivities (~3-5 pages),
concept of future research plans (~1-3 pages), and contact details of at
least three references ? if possible combinedinto a single PDF document
attached to the e-mail. Please seehttps://tinyurl.com/4jvkmajhfor
additional details.
All applications received by 1 October 2023 will be considered. Start
dates are very flexible. Please address questions about the application
toDalibor Mikic / Ana Mendes (sec-ai at meduniwien.ac.at) and scientific
questions to Christoph Bock (christoph.bock at meduniwien.ac.at).
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From angelo.cangelosi at manchester.ac.uk Tue Sep 19 11:13:27 2023
From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi)
Date: Tue, 19 Sep 2023 15:13:27 +0000
Subject: Connectionists: [jobs] Two 4-year postdocs in Neurorobotics,
University of Manchester UK
Message-ID:
Two 4-year postdocs in Neurorobotics
Manchester Centre for Robotics and AI
University of Manchester, UK
Two Postdoctoral Research Associates in Neurorobotics are required for a period of 48 months to work on the Horizon/InnovateUK project ?PRIMI: Performance in Robots Interaction via Mental Imagery. This is a collaborative project of the University of Manchester?s Cognitive Robotics Lab with various academic and industry partners in the UK and Europe. PRIMI will synergistically combine research and development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics to build developmental models of higher-cognition abilities ? mental imagery, abstract reasoning, and theory of mind ? boosted by energy- efficient event-driven computing and sensing.
You will carry out research on robot neuro/cognitive architectures, using a combination of machine learning and robotics methodologies. A PhD in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning skills. Previous experience and publication track record in robot cognitive modelling is an essential requirement. One post requires expertise in computational neuroscience (e.g. spiking neural networks) for robotics, and one in neuro-cognitive architectures.
You will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi (in close collaboration with the other project partners will also be required).
See below for link to the posts info and the online application system.
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From suashdeb at gmail.com Tue Sep 19 12:53:43 2023
From: suashdeb at gmail.com (Suash Deb)
Date: Tue, 19 Sep 2023 22:23:43 +0530
Subject: Connectionists: Submission deadline 2 months away,
ISMSI 2024 (Singapore)
Message-ID:
Dear esteemed colleagues,
This is to let you know that the deadline for submission of manuscripts for
2024 8th ISMSI, an annual global event of llCCl, is exactly 2 months away.
For more information regarding conference proceedings, spl. issue of
Springer Publication etc pls. visit the conference website
http://www.ismsi.org
I solicit your help in sharing this piece of info with your peers and
motivate them to submit manuscripts.
Thank you and will be looking forward to receive manuscripts from you/your
colleagues in the coming days.
With kind regards,
Suash Deb General Chair, ISMSI 2024
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From cgf at isep.ipp.pt Wed Sep 20 04:27:20 2023
From: cgf at isep.ipp.pt (Carlos)
Date: Wed, 20 Sep 2023 09:27:20 +0100
Subject: Connectionists: [new deadline ] Competition - Predictive
Maintenance @ Xai for Predictive Maintenance Tutorial - ECAI 2023
Message-ID: <3b609832-d638-d3e5-0d39-101a59d09b5e@isep.ipp.pt>
Call for Participation
----------------------
We invite you to participate in our Predictive Maintenance Competition. This is the shared task of the XAI for Predictive Maintenance Tutorial at ECAI 2023 (https://slawomirnowaczyk.wixsite.com/ecai-xpm).
Competition website: https://slawomirnowaczyk.wixsite.com/ecai-xpm
Kaggle website: https://www.kaggle.com/datasets/pattinson9999/uci-metropt-3-dataset
Important dates
----------------------
? 25/09/2023: submission deadline.
----------------------
Description
The compressed air system is a crucial component of the train and delivers essential pressurized air to several clients like:
? pneumatic suspension
? oil injection on the rail to reduce the friction and noise on the curves
? injection of sand to gain traction rails
? connect other trains
Requirements
Predict a failure or detect an anomaly two hours in advance (minimum time required by the company to schedule the replacement of the faulty train).
Description
? The dataset consists of more than 15 million examples
? Collected from February to August 2020
? 15 features from 7 analogue (1-7) and 8 digital (8-15) sensors
Failures
? Air leak: relevant sensors: tp2, tp3, h1, dv_pressure, comp, motor_current
? Oil leak: relevant sensors: oil_temp, oil_level
Possible Tasks:
? Anomaly Detection
? Anomaly Explanation
? Failure Prediction
? Remaining Useful Life (RUL)
Solution:
? Best Posters will be available on the XPM project website and presented online during the Tutorial
? Open repository with solution
? Send the Technical Poster to bveloso at fep.up.pt
Best,
Organizers
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. Ant?nio Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt
From fzenke at gmail.com Wed Sep 20 05:36:04 2023
From: fzenke at gmail.com (Friedemann Zenke)
Date: Wed, 20 Sep 2023 11:36:04 +0200
Subject: Connectionists: SNUFA 2023 abstract submission closing soon
(deadline Sept 29)
Message-ID:
Dear all,
For those interested in spiking neural networks, this is a reminder that
the SNUFA 2023 submission deadline for contributed talks and posters is
closing soon (deadline Sept 29, 2023).
SNUFA is an annual online workshop focused on spiking networks as
universal function approximators. It brings together computational
neuroscience, machine learning, and neuromorphic engineering
researchers. Topics include, but not limited to, artificial and
biologically plausible learning algorithms and the dissection of trained
spiking circuits toward understanding neural processing.
Invited speakers this year are Rodolphe Sepulchre (KU Leuven and
University of Cambridge), Melika Payvand (INI, Zurich), Gabriel Ocker
(Boston University), and Jeff Krichmar (UC Irvine).
For details, see https://snufa.net/2023/
Hope to see you there.
Kind regards on behalf of the organizers,
Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke
From battleday at princeton.edu Wed Sep 20 07:53:04 2023
From: battleday at princeton.edu (Ruairidh McLennan Battleday)
Date: Wed, 20 Sep 2023 07:53:04 -0400
Subject: Connectionists: Final call for Mathematics of Neuroscience
Conference: 28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece.
Message-ID:
Fourth International Symposium on the Mathematics of Neuroscience.
28th September - 1st October 2023, Old Town, Rhodes, Greece.
?----------------
Final call for general attendance and poster sessions
?----------------
One week left before this year?s conference on the mathematics of
neuroscience, and last chance to register for general attendance or to
present a physical or virtual poster:
www.neuromonster.org
The line up is looking fantastic! Thank you to everyone that made a
submission!
In this exploratory symposium, we present and discuss general mathematical
models of brain function. We give priority to those models that account for
brain or behavioural data, or provide simulations to that effect.
Keynote Speakers
Professor Aapo Hyv?rinen (University of Helsinki)
Painful intelligence: What AI can tell us about human suffering
Professor Janneke Jehee (Donders Institute)
Probabilistic representations in the human visual cortex
Professor Peter Latham (UCL)
What?s the question and how do we answer it?
Session Chairs
Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT)
Neurotheory: Dr James Whittington (Oxford / Stanford)
Biocomputation: Professor Dan V. Nicolau (King?s College London / Oxford)
Representational alignment: Dr Ilia Sucholutsky (Princeton)
Confirmed Speakers
Professor Andrew Adamatzky (UWE)
Professor Dan Nicolau Sr (McGill)
Professor Bill Thompson (Berkeley)
Professor Bradley Love (UCL)
Professor Iris Groen (Amsterdam)
Professor Volker Tresp (Munich)
Professor Daniel Graham (HWS)
Professor Marcelo Bertalm?o (SNRC)
Professor Mayank Kejriwal (USC)
Dr Thomas Parr (UCL)
Dr Andreea Bobu (MIT)
Dr Ilias Rentzeperis (SNRC)
Dr Steeve Laquitaine (The Swiss Federal Institute of Technology)
Dr. Panagiotis Mougkogiannis (UWE)
Dr Jonathan V. Gill (NYU)
Dr Tommaso Salvatori (Verses.ai)
Dr Charles Cohen (Fidelis.ai)
Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision)
Dr Michael Popov (OMCAN network)
Dr Sunder Bukya (University of Hyderabad)
Shirin Vafaei (Osaka University)
Arvind Saraf (Attention Tag)
Shivang Rawat (NYU)
Jay Verma (University of Delhi)
Declan Campbell (Princeton University)
Tyler Giallanza (Princeton University)
Carol Upchurch (Louisiana State University)
Francesco Guido Rinaldi (SISSA)
Hang Li (LMU Munich)
Simon Frieder (Oxford)
Sabahaddin Taha Solakoglu (Hacettepe University)
Hanna Derets (University of Waterloo)
Jia Li (KU Leuven)
Rahul Jain (Pomona College)
The symposium will be held virtually or in-person on the island of Rhodes,
Greece from the 28th September - 1st October 2023 (www.neuromonster.org).
Submission for poster sessions is by 250-word abstract, emailed to the
session chairs at battleday at thinkingaboutthinking.org, indicating the
desired session.
--
Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD
Postdoctoral Research Fellow
Center for Brain Science,
Harvard University
Center for Brains, Minds, and Machines,
MIT
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From Pavis at iit.it Wed Sep 20 08:05:28 2023
From: Pavis at iit.it (Pavis)
Date: Wed, 20 Sep 2023 12:05:28 +0000
Subject: Connectionists: CALL for Junior Technician in Augmented Reality and
Computer Vision (2300006X) - IIT Italy [Jobs]
In-Reply-To:
References: <2209296359b8498583e456c8fc500211@iit.it>,
Message-ID: <03a41e3081c54e48b061a79eda27d7b8@iit.it>
Job Description - Junior Technician in Augmented Reality and Computer Vision (2300006X)
Commitment & contract: 1-year fixed term employee contract, renewable
Location: Genoa, Italy
WHO WE ARE
At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society.
Our Genoa headquarter is strictly inter-connected with our 11 centres around Italy and two outer stations based in the US for a truly interdisciplinary experience.
YOUR TEAM
You will be working in the Pattern Analysis and Computer vision (PAVIS) Research Line, a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out
the research on Computer Vision and Artificial Intelligence.
PAVIS research Line is coordinated by Dr. Alessio Del Bue.
Within the team, your main responsibilities will be:
- Developing Augmented Reality Apps with ARCore (preferable) or/and ARKit frameworks using Unity Development Platform
- Software testing and prototyping of computational systems based on Computer Vision and Machine Learning technology
- Support PAVIS facility maintenance and organization
- Support PAVIS researcher activities related to European project: BoSS ? Bauhaus of the Seas Sails
- Ref. UE Project: BoSS ? Bauhaus of the Seas Sails - G.A.N. = 101079995
WHAT WOULD MAKE YOU SHINE
- A Master or Bachelor Degree in Computer Science, Engineering or a similar discipline
- Documented experience in Augmented Reality App Development (ARCore preferred) and Unity
- Deep knowledge of the Python and C# programming languages, using JSON protocol
- Ability to work on both backend and frontend sides
- Good programming skills
- Good knowledge of the English language
- A cooperative approach
- Accuracy and good analytical skills
EXTRA AWESOME
- Experience with modern software development tools and technologies (CI/CD, test drive development,
Git, microservices, Docker, MQTT, DevOps, Neo4j
- Experience with Machine Learning and Deep Learning models (e.g. Pytorch, Tensorflow)
- Working experience in the public or private research sector
- Experience in managing computer networks and network programming
- Good communication skills
- Strong problem solving attitude
- High motivation to learn
- Spirit of innovation and creativity
- Good in time and priority management
- Ability to work in a challenging and international environment
- Ability to work independently and collaboratively in a highly interdisciplinary and multicultural environment
COMPENSATION & BENEFITS
- Competitive salary package for international standards
- Possibility to have fiscal benefits. There are two tax reliefs currently available:
the fiscal benefit provided for Researchers and Teachers from abroad (so-called Tremonti)and the one provided for the Impatriate workers (Internationalization Decree).
- Private health care coverage
- Wide range of staff discounts
- 2 days of teleworking per week
- Flexible working times
WHAT?S IN IT FOR YOU?
- The opportunity to collaborate with researchers in the most important European Union Initiative: the New European Bauhaus.
- State of the art equipment with access to one of the top High Performance Computing infrastructures in Italy.
- Learn from a dynamic and highly motivated team working at the edge of computer vision and machine learning technology composed by the brightest minds in the field.
- The chance to develop Augmented Reality systems from scratch and put your mark on it
- Weekly reading groups for staying up to date with the most recent trend and developments in the field of Machine Learning and Computer Vision.
- An equal, inclusive and multicultural environment ready to welcome you with open arms. Discrimination is a big NO for us!
- We like contamination and encourage you to mingle and discover what other people are up to in our labs!
If paperwork is not your piece of cake, we got you! There?s a specialized team working to help you with that, especially during your relocation!
If you are a startupper or a business-minded person, you will find some exceptionally gifted professionals ready to nurture and guide your attitude and aspirations.
If you want your work to have a real impact, in IIT you will find an innovative and stimulating culture that drives our mission to contribute to the improvement and well-being of society!
We stick to our values! Integrity, courage, societal responsibility and inclusivity are the values we believe in! They define us and our actions in our everyday life. They guide us to accomplish IIT mission!
If you feel these tickles your appetite for change, do not hesitate and apply!
APPLICATION DEADLINE
Please submit your application using the online form and including a detailed CV
Application?s deadline: October 15th, 2023
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 Tel: +39 010 28961 - email: dpo at iit.it - kindly note that this e-mail address is exclusively reserved for handling data protection issues. Please, do not use this e-mail address to send any document and/or request
of information about this opening).
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From sebastien.destercke at hds.utc.fr Wed Sep 20 12:40:10 2023
From: sebastien.destercke at hds.utc.fr (sdesterc)
Date: Wed, 20 Sep 2023 18:40:10 +0200
Subject: Connectionists: Next SIPTA seminar: 27 September 3Pm (Paris time),
Dominique Guyonnet on Risk Analysis
Message-ID:
Dear colleagues,
We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events.
The next seminar will take place on the 27th of September (Wednesday).
The zoom link for this seminar is https://utc-fr.zoom.us/j/82399096997
For this new seminar, we are very happy to have Dominique Guyonnet as our speaker. Dominique Guyonnet is a reasearcher and expert at BRGM, France?s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. He has worked on numerous risk analysis cases involving multiple stakeholders, for which he used imprecise probability techniques.
On the 27th of September, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Application of uncertainty theory in the field of environmental risks?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 27th of September, and join us for the occasion.
And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=bwGMvRUmUmo&list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51
See you at the seminar!
S?bastien, Enrique and Jasper
From bisant at umbc.edu Wed Sep 20 15:06:58 2023
From: bisant at umbc.edu (David B)
Date: Wed, 20 Sep 2023 15:06:58 -0400
Subject: Connectionists: CFP: FLAIRS37,
Neural Network and Data Mining Special Track, Miramar Beach, FL, May 18-21,
2024
Message-ID:
*Neural Networks and Data Mining*
*Special Track at the **37th International FLAIRS Conference*
* Miramar Beach, Florida,** May 18-21, 2024*
*Abstract Due Date: January 22 , 2024*
*Submission Due Date: January 29 , 2024*
*Paper acceptance notification: March 11, 2024 *
*Camera ready version : April 8, 2024 *
*Call for Papers*
The Florida Artificial Intelligence Research Symposium (FLAIRS) is a
medium-sized interdisciplinary AI conference which is noted for its
double-blind reviewing, free tutorials, and beautiful venues.
This special track will be devoted to neural networks and data mining with
the aim of presenting new and important contributions in these areas.
Papers and contributions are encouraged for any work related to neural
networks, data mining, or the intersection thereof. Topics of interest may
include (but are in no way limited to):
Applications such as Pattern Recognition, Control and Process Monitoring,
Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power
Systems, Signal Processing; Intelligence analysis, medical and health
applications, text, video, and multi-media mining, E-commerce and web data,
financial data analysis, cybersecurity, remote sensing, earth sciences,
bioinformatics, and astronomy;
Neural networks such as new developments in Back Propagation, RBF, SVM,
Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such
as Neural Networks/Genetic Algorithms, Causal Nets trained with
Backpropagation, and Neural Network/Fuzzy Logic ; Acceleration of neural
network modeling via software or hardware.
Other modeling algorithms such as hidden Markov models, decision trees,
statistical methods, or probabilistic methods; case studies in areas of
application, or over different algorithms and approaches; graph modeling,
pattern discovery, and anomaly detection; feature extraction and selection;
post-processing techniques such as visualization, summarization, or
trending; preprocessing and data reduction; and knowledge engineering or
warehousing.
*Submission Guidelines*
Submitted papers *must be original*, and not submitted concurrently to a
journal or another conference. Double-blind reviewing will be provided, so
submitted papers must use fake author names and affiliations. Papers must
follow the FLAIRS template guidelines (
https://www.flairs-37.info/call-for-papers) and be submitted as a PDF
through the EasyChair
conference
system. (Do NOT use a fake name for your EasyChair login; your EasyChair
account information is hidden from reviewers.)
FLAIRS will not accept any paper which, at the time of submission, is under
review for or has already been published or accepted for publication in a
journal or another conference. Authors are also required not to submit
their papers elsewhere during FLAIRS's review period. These restrictions
apply only to journals and conferences, not to workshops and similar
specialized presentations with a limited audience and without archival
proceedings. Authors will be required to confirm that their submissions
conform to these requirements at the time of submission.
*Conference Proceedings*
Papers will be refereed and all accepted papers will appear in the
conference proceedings.
*Cochairs:*
David Bisant, Central Security Svcs, bisant at umbc.edu
Steven Gutstein, Booz Allen Hamilton, s.m.gutstein at gmail.com
Lenin Mookiah, eBay, lenin.world at gmail.com
*Program committee*:
Martin Atzmueller (University of Kassel, Germany)
Juan Banda (Montana State University, USA)
Lori Bogren (SomaLogic, USA)
Chandrashekar Muniyappa (Upgrade Inc, USA)
Yoni Fridman (Verizon Business Solutions, USA)
Diane Cook (Washington State University, USA)
Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation)
Olac Fuentes (University of Texas at El Paso, USA)
Lawrence Holder (Washington State University, USA)
Sheikh Rabiul Islam (University of Hartford, USA)
Mike James (iProgrammer, United Kingdom)
Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA)
Katrina Kutchko (Verizon Business Solutions, USA)
Roberto Santana (University of Basque Country, Spain)
Hujun Yin (University of Manchester, UK)
Ramesh Paudel (Sysco Corp, USA)
Prabin Lamichhane (Tennessee Tech University, USA)
Hyoil Han (Illinois State University, USA)
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From rihalain at bidmc.harvard.edu Wed Sep 20 12:51:39 2023
From: rihalain at bidmc.harvard.edu (Ihalainen, Riku johannes (BIDMC - Hariri - Anesthesia))
Date: Wed, 20 Sep 2023 16:51:39 +0000
Subject: Connectionists: Consciousness: Science,
Spirituality and Social Impact Conference on October 26-27
Message-ID:
We are thrilled to invite you for an upcoming Harvard Medical School CME Conference offered by Sadhguru Center for a Conscious Planet. Please see the conference details below:
Consciousness: Science, Spirituality and Social Impact
Date/Time: October 26-27, 2023
Location: Joseph B. Martin Conference Center, Boston
This two-day event aims to delve into the nature of consciousness and its profound implications. A 360-degree approach to understand consciousness from Anesthesiology (Emery Brown, MIT), Neurology (Steven Laureys, Belgium), Physics (Bernard Carr trained by Stephen Hawking), Mathematics (Donald Hoffman), Non-local Consciousness (Arnaud Delorme), Eastern and Western perspectives (Melanie Boly), Plasticity of the Brain (Richard Davidson), Super Consciousness (Deepak Chopra & Rudolph Tanzi), Brain Science (Christof Koch, Allen Institute of Brain Sciences), and Spirituality (Sadhguru JV, spiritual leader).
The conference will also explore the connections between conscious action in leadership and environmental practices. Renowned experts including Helene Langevin (Director, NCCIH-NIH), Ranjay Gulati (Harvard Business School), Nipun Mehta (Service Space), and Susan Bauer-Wu (Mind & Life Institute) will contribute to the discussions. A section will be dedicated to connecting gut and brain health to human and planetary health.
Keynote Event: Sadhguru JV & Steven Pinker on "Science & Spirituality Discussion: Is Consciousness a Miracle?" Harvard Sanders Theatre, Thursday, October 26th, 5 pm.
Secure your place now to embark on this thought-provoking exploration of consciousness at Harvard.
Limited seating is available.
Attendance options: In person or virtually. One-day options are also available.
To register, visit: www.tiny.cc/conference
For those interested in the Keynote Event exclusively:* http://tiny.cc/Sanders
*Note: Keynote Event tickets are included in the conference registration.
Submit an abstract for the poster session by September 29th: https://forms.office.com/r/gT32CnNHmf
For any inquiries, please contact us at: sccpconference at bidmc.harvard.edu
We look forward to your participation and valuable contributions to the discourse on consciousness in this enlightening conference.
[cid:1e2087f3-2443-40ce-ad63-484595dad9c0][cid:2f3eac72-cf8f-486c-883d-389e11fe884e]
For any inquiries, please contact organizers at: sccpconference at bidmc.harvard.edu
We look forward to your participation and valuable contributions to the discourse on consciousness in this enlightening conference.
Thank you!
-----
Riku Ihalainen
Postdoctoral Research Fellow
Department of Anesthesia, Critical Care, and Pain Medicine
Sadhguru Center for a Conscious Planet
E: rihalain at bidmc.harvard.edu
[cid:7d9764e0-a62b-4173-9b72-cca1daa13cca]
330 Brookline Avenue, Boston, MA 02215
bidmc.org
----------------------------------------------------------------------
PLEASE NOTE: This message is intended for the use of the person to whom it is addressed. It may contain information that is privileged, confidential and exempt from disclosure under applicable law. If you are not the intended recipient, your use of this message for any purpose is strictly prohibited. If you have received this communication in error, please delete the message and notify the sender so that we may correct our records. See our web page at http://www.bilh.org for a full directory of Beth Israel Lahey Health sites, staff, services and career opportunities.
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From interdonatos at gmail.com Wed Sep 20 11:38:08 2023
From: interdonatos at gmail.com (Roberto Interdonato)
Date: Wed, 20 Sep 2023 17:38:08 +0200
Subject: Connectionists: CfP FRCCS 2024 - Fourth French Regional Conference
on Complex Systems, 29-31 May 2024, Montpellier
Message-ID:
CFP FRCCS 2024 Montpellier, France May 29 ? 31, 2024
Fourth French Regional Conference on Complex Systems
May 29 ? 31, 2024
Montpellier, France
FRCCS 2024
After successfully hosting the conference in Dijon in 2021, Paris in 2022,
and Le Havre in 2023, the fourth edition of the French Regional Conference
on Complex Systems (FRCCS 2024) will be held in Montpellier, France. This
single track international conference organized by CSS France
serves as a platform to foster
interdisciplinary exchanges among researchers from various scientific
disciplines and diverse backgrounds, including sociology, economics,
history, management, archaeology, geography, linguistics, statistics,
mathematics, and computer science.
FRCCS 2024 provides a valuable opportunity for participants to meet in
France, exchange and promote ideas, facilitating the cross-fertilization of
recent research work, industrial advancements, and original applications.
Moreover, the conference emphasizes research topics with a high societal
impact, showcasing the significance of complexity science in addressing
complex societal challenges. Join us in Montpellier as we collectively
strive to better understand complexity and its implications for society.
You are cordially invited to submit your contribution until February 21,
2024.
Finalized work (published or unpublished) and work in progress are welcome.
Two types of contributions are accepted:
-
Papers about original research (up to 12 pages)
-
Extended Abstract about published or unpublished research (3 to 4
pages).
Keynote Speakers
-
Ingmar Weber , Saarland University
-
Sonia K?fi ,
Universit? de Montpellier
-
Petter Holme , Aalto University
-
More TBA?
Publication
-
Contributions will be included in the conference proceedings (With ISBN)
-
Selected submissions of unpublished work will be invited for publication
in special issues (fast track procedure) of the journals:
-
Applied Network Science,
edited by Springer
-
Complexity,
edited by Hindawi
Topics include, but are not limited to:
-
Foundations of complex systems
-
Self-organization, non-linear dynamics, statistical physics,
mathematical modeling and simulation, conceptual frameworks, ways of
thinking, methodologies and methods, philosophy of complexity, knowledge
systems, Complexity and information, Dynamics and self-organization,
structure and dynamics at several scales, self-similarity, fractals
-
Complex Networks
-
Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive
Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities,
Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral
Marketing, Link Prediction, Network Visualization, Network
Digging, Network
Embedding & Learning.
-
Neuroscience, Linguistics
-
Evolution of language, social consensus, artificial intelligence,
cognitive processes & education, Narrative complexity
-
Economics & Finance
-
Game Theory, Stock Markets and Crises, Financial Systems, Risk
Management, Globalization, Economics and Markets, Blockchain, Bitcoins,
Markets and Employment
-
Infrastructure, planning, and environment
-
critical infrastructure, urban planning, mobility, transport and
energy, smart cities, urban development, urban sciences
-
Biological and (bio)medical complexity
-
biological networks, systems biology, evolution, natural sciences,
medicine and physiology, dynamics of biological coordination, aging
-
Social complexity
-
social networks, computational social sciences, socio-ecological
systems, social groups, processes of change, social evolution,
self-organization and democracy, socio-technical systems, collective
intelligence, corporate and social structures and dynamics,
organizational
behavior and management, military and defense systems, social unrest,
political networks, interactions between human and natural systems,
diffusion/circulation of knowledge, diffusion of innovation
-
Socio-Ecological Systems
-
Global environmental change, green growth, sustainability &
resilience, and culture
-
Organisms and populations
-
Population biology, collective behavior of animals, ecosystems,
ecology, ecological networks, microbiome, speciation, evolution
-
Engineering systems and systems of systems
-
bioengineering, modified and hybrid biological organisms, multi-agent
systems, artificial life, artificial intelligence, robots, communication
networks, Internet, traffic systems, distributed control, resilience,
artificial resilient systems, complex systems engineering, biologically
inspired engineering, synthetic biology
-
Complexity in physics and chemistry
-
quantum computing, quantum synchronization, quantum chaos, random
matrix theory)
GENERAL CHAIRS
Roberto Interdonato , CIRAD, UMR TETIS,
Montpellier
Bruno Pinaud , LABRI
University of Bordeaux
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From timofte.radu at gmail.com Wed Sep 20 10:29:25 2023
From: timofte.radu at gmail.com (Radu Timofte)
Date: Wed, 20 Sep 2023 16:29:25 +0200
Subject: Connectionists: [Jobs] Two Professor positions on Applied
Super-Resolution and on Digital Media Processing, in Germany,
deadline 22.10.2023
Message-ID:
( Apologies for multiple postings )
Dear colleagues,
At the newly established Center for Artificial Intelligence and Data
Science (CAIDAS) from University of
Wurzburg, Germany, we have two Faculty openings. The salaries and the
packages are competitive.
(1) Applied Super-Resolution Professorship (Full W3 or Associate W2 with
tenure track W3)
https://euraxess.ec.europa.eu/jobs/136368
https://go.uniwue.de/w3-asr-en
Possible research areas are: super-resolution, inverse problems,
restoration, spectral imaging, machine learning for microscopy/telescopy,
machine learning for photogrammetry
(2) Digital Media Processing Professorship (Junior W1 with tenure track W2)
https://euraxess.ec.europa.eu/jobs/136382
https://go.uniwue.de/w1-dmp-en
Possible research areas are: inverse problems, super-resolution,
restoration, computational photography, compression, mobile/edge AI,
Augmented/Mixed Reality, machine learning for photogrammetry.
The application deadline is 22nd of October, 2023 (EXTENDED).
Please share with your interested peers.
Thank you,
-Radu Timofte
(Chair for Computer Vision
, CAIDAS
& IFI
,
University of Wurzburg, Germany)
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From akarargyris at gmail.com Thu Sep 21 06:06:45 2023
From: akarargyris at gmail.com (Alex Karargyris)
Date: Thu, 21 Sep 2023 12:06:45 +0200
Subject: Connectionists: Few more days for NeurIPS 2023 Gaze Meets ML
Workshop 2nd Edition
Message-ID:
Dear all,
The deadline for paper submission to the 2nd edition of Gaze Meets ML
workshop is fast approaching (i.e., 27th September).
The 1st edition of the workshop drew interest from a diverse group of
experts in the areas of neuroscience, machine learning, reinforcement
learning etc. demonstrating the strong potential of visual attention in
various tasks spanning from data collection and annotation to causality and
medical imaging reading. This year?s workshop will continue upon last
year?s success and bring together experts from various backgrounds (e.g.
neuroscience, machine learning, computer vision, medical imaging, NLP,
etc.) to discuss ideas and ways to bridge human and machine attention that
can help make machine learning more efficient. Please find more information
in the Call for Papers below.
Sincerely,
Alexandros Karargyris on behalf of the organizing committee
********************************************************************************
The 2023 Gaze Meets ML workshop in conjunction with NeurIPS 2023
*****************************************************************
***************
Webpage: https://gaze-meets-ml.github.io/
Twitter Handle: https://twitter.com/Gaze_Meets_ML
Submission site:
https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML
Submission deadline: September 27th, 2023
Date: December 16th, 2023
Location: New Orleans Convention Center, New Orleans, LA
** Overview **
We are excited to host the second edition of Gaze Meets ML workshop in
December, 2023 in conjunction with NeurIPS 2023. The workshop will take
place in-person at New Orleans! We?ve got a great lineup of speakers
.
** Background **
Eye gaze has proven to be a cost-efficient way to collect large-scale
physiological data that can reveal the underlying human attentional
patterns in real life workflows, and thus has long been explored as a
signal to directly measure human-related cognition in various domains
Physiological data (including but not limited to eye gaze) offer new
perception capabilities, which could be used in several ML domains, e.g.,
egocentric perception, embodiedAI, NLP, etc. They can help infer human
perception, intentions, beliefs, goals and other cognition properties that
are much needed for human-AI interactions and agent coordination. In
addition, large collections of eye-tracking data have enabled data-driven
modeling of human visual attention mechanisms, both for saliency or
scanpath prediction, with twofold advantages: from the neuroscientific
perspective to understand biological mechanisms better, from the AI
perspective to equip agents with the ability to mimic or predict human
behavior and improve interpretability and interactions.
With the emergence of immersive technologies, now more than any time there
is a need for experts of various backgrounds (e.g., machine learning,
vision, and neuroscience communities) to share expertise and contribute to
a deeper understanding of the intricacies of cost-efficient human
supervision signals (e.g., eye-gaze) and their utilization towards bridging
human cognition and AI in machine learning research and development. The
goal of this workshop is to bring together an active research community to
collectively drive progress in defining and addressing core problems
in gaze-assisted
machine learning.
** Call for Papers **
We welcome submissions that present aspects of eye-gaze in regards to
cognitive science, psychophysiology and computer science, propose methods
on integrating eye gaze into machine learning, and application domains from
radiology, AR/VR, autonomous driving, etc. that introduce methods and
models utilizing eye gaze technology in their respective domains.
Topics of interest include but are not limited to the following:
-
Understanding the neuroscience of eye-gaze and perception.
-
State of the art in incorporating machine learning and eye-tracking.
-
Annotation and ML supervision with eye-gaze.
-
Attention mechanisms and their correlation with eye-gaze.
-
Methods for gaze estimation and prediction using machine learning.
-
Unsupervised ML using eye gaze information for feature
importance/selection.
-
Understanding human intention and goal inference.
-
Using saccadic vision for ML applications.
-
Use of gaze for human-AI interaction and agent coordination in
multi-agent environments.
-
Eye gaze used for AI, e.g., NLP, Computer Vision, RL, Explainable AI,
Embodied AI, Trustworthy AI.
-
Ethics of Eye Gaze in AI
-
Gaze applications in cognitive psychology, radiology, neuroscience,
AR/VR, autonomous cars, privacy, etc.
** Submission Guidelines **
The workshop will feature two tracks for submission: a full, archival
proceedings track with accepted papers published in the Proceedings for
Machine Learning Research (PMLR) ; and a
non-archival, extended abstract track. Submissions to either track will
undergo the same double-blind peer review. Full proceedings papers can be
up to 15 pages and extended abstract papers can be up to 8 pages (both
excluding references and appendices). Authors of accepted extended
abstracts (non-archival submissions) retain full copyright of their work,
and acceptance of such a submission to Gaze Meets ML does not preclude
publication of the same material in another archival venue (e.g., journal
or conference).
Please submit your paper at
https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/Gaze_Meets_ML
** Awards and Funding **
Possibly award prizes for best papers or cover registration fees of
presenting authors with a focus on underrepresented minorities.
** Important dates for Workshop paper submission **
-
Paper submission deadline: September 27, 2023
-
Reviewing starts: September 30, 2023
-
Reviewing ends: October 16, 2023
-
Notification of acceptance: October 27, 2023
-
Workshop: 16 December 2023 (in person)
** Organizing Committee **
Amarachi Mbakwe (Virginia Tech)
Joy Wu (Stanford, IBM Research)
Dario Zanca (FAU Erlangen-N?rnberg)
Elizabeth Krupinski (Emory University)
Satyananda Kashyap (IBM Research)
Alex Karargyris (MLCommons)
** Contact **
Organizing Committee gaze.neurips at gmail.com
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From loizos at ouc.ac.cy Fri Sep 22 03:37:37 2023
From: loizos at ouc.ac.cy (Loizos Michael)
Date: Fri, 22 Sep 2023 07:37:37 +0000
Subject: Connectionists: Call for Papers: Special Issue of AI Communications
on "Human-Aware AI"
Message-ID: