From zk240 at cam.ac.uk Tue Aug 1 03:27:13 2023
From: zk240 at cam.ac.uk (Zoe Kourtzi)
Date: Tue, 1 Aug 2023 07:27:13 +0000
Subject: Connectionists: Postdoc in Cognitive Computational Neuroscience
Message-ID: <31096391-30B4-4BEC-B519-936591897FCA@cam.ac.uk>
Post-doctoral position in Cognitive Computational Neuroscience at the Adaptive Brain Lab (University of Cambridge: http://www.abg.psychol.cam.ac.uk)
Interested in brain computations? We combine high field brain imaging (7T fMRI, MR Spectroscopy), electrophysiology (EEG), computational modelling (machine learning, reinforcement learning) and interventions (TMS, tDCS, pharmacology) to understand network dynamics for learning and brain plasticity. Our research programme bridges work across scales (local circuits, global networks) and species (humans, rodents) to uncover the neurocomputations that support learning and brain plasticity.
Closing 24th August 2023. For more details please see:https://www.jobs.cam.ac.uk/job/42139/
For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) with CV and brief statement of background skills and research interests.
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From SchockaertS1 at cardiff.ac.uk Tue Aug 1 05:34:43 2023
From: SchockaertS1 at cardiff.ac.uk (Steven Schockaert)
Date: Tue, 1 Aug 2023 09:34:43 +0000
Subject: Connectionists: PhD position on explainable GNNs
Message-ID:
We are looking for a PhD student to work on explainable Graph Neural Networks for problems in computational chemistry. This is a funded position for 3.5 years at Cardiff University's School of Computer Science & Informatics (UK).
Deadline for applications: 15 September 2023
Full details: https://www.findaphd.com/phds/project/explainable-graph-neural-networks-for-computational-chemistry/?p159925
Keywords: Graph Neural Networks, Explainable AI, Neuro-symbolic Methods, Computational Chemistry
Please get in touch with Steven Schockaert (schockaerts1 at cardiff.ac.uk) for any questions about this position.
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From christian.leibold at biologie.uni-freiburg.de Tue Aug 1 10:30:32 2023
From: christian.leibold at biologie.uni-freiburg.de (Christian Leibold)
Date: Tue, 1 Aug 2023 16:30:32 +0200
Subject: Connectionists: Postdoc position Differential Geometry of Neural
Manifolds
In-Reply-To: <47e4b1ea-0d78-e751-1a65-dfbb3f5ed18d@biologie.uni-freiburg.de>
References: <47e4b1ea-0d78-e751-1a65-dfbb3f5ed18d@biologie.uni-freiburg.de>
Message-ID: <96356faf-bc2f-c69b-3668-69eac58196d2@biologie.uni-freiburg.de>
Postdoc position at the University of Freiburg
The lab of Christian Leibold (https://www.neurotheory.uni-freiburg.de/)
invites applications of postdoc candidates on topics related to the
geometry of neural manifolds. We will use spiking neural network
simulations, analysis of massively parallel recordings, as well as
techniques from differential geometry to understand the dynamics of the
neural population code in the hippocampal formation in relation to
complex cognitive behaviors.
We are seeking candidates with a strong motivation to combine
mathematics, modern statistical methods and neuroscience and have a PhD
in theoretical physics, computational neuroscience, machine learning or
related fields. Strong programming skills (ideally Python) are an
essential qualification.
Our research group combines modelling of neural circuits with the
development of machine learning techniques for data analysis. We strive
for a diverse, interdisciplinary, and collaborative work environment.
The work group is located at the Bernstein Center Freiburg
(https://www.bcf.uni-freiburg.de/) and tightly embedded in the vibrant
Freiburg Neuroscience community, including the BrainLinks-BrainTools
Cluster (https://www.brainlinks-braintools.uni-freiburg.de/).
The University of Freiburg is committed to equal opportunity, diversity
and inclusion. In case of equal qualification and experience, physically
challenged applicants are given preference. The University of Freiburg
is dedicated to increasing the share of female employees and highly
encourages female scientists to apply. We also highly encourage
applications from outside Germany.
Applications including academic CV, transcripts, at most two example
papers and two letters of reference should be sent electronically to
raphaela.straub at biologie.uni-freiburg.de. We will start screening the
applications after August 31st.
Putative starting date: January 2024
Contract duration: initially 3 years
Salary Level: E13 TV-L
From hs497 at cornell.edu Tue Aug 1 11:19:36 2023
From: hs497 at cornell.edu (Hiba Sh)
Date: Tue, 1 Aug 2023 17:19:36 +0200
Subject: Connectionists: FW: Advanced Electrophysiology Post-doc Position
Available - Interventional Psychiatry Program, Minneapolis, MN, USA
In-Reply-To:
References:
Message-ID:
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From fabian.braesemann at oii.ox.ac.uk Tue Aug 1 11:03:45 2023
From: fabian.braesemann at oii.ox.ac.uk (Fabian Braesemann)
Date: Tue, 1 Aug 2023 15:03:45 +0000
Subject: Connectionists: CFP COMPLEX NETWORKS 2023 Menton Riviera France
November 28 - 30, 2023
Message-ID: <55032016-E929-4F0F-BA8F-4CC46D2A601C@oii.ox.ac.uk>
12 th International Conference on Complex Networks & Their Applications
Menton Riviera, France
November 28 - 30, 2023
COMPLEX NETWORKS 2023
You are cordially invited to submit your contribution until September 02, 2023.
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
PUBLICATION
Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome.
? 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 one
o Social Network Analysis and Mining edited by Springer
SUBMISSION
https://complexnetworks.org/submission/
TOPICS
Topics include, but are not limited to:
* Models of Complex Networks
* Structural Network Properties and Analysis
* Epidemics
* Community Structure
* Motifs
* Network Mining
* Network embedding
* Machine learning with graphs
* Dynamics and Evolution Patterns of Complex Networks
* Link Prediction
* Multilayer Networks
* Controllability
* Synchronization
* Visual Representation
* Large-scale Graph Analytics
* Social Reputation, Influence, and Trust
* Information Spreading in Social Media
* Rumour and Viral Marketing in Social Networks
* Recommendation Systems
* Financial and Economic Networks
* Mobility
* Biological and Technological Networks
* Mobile call Networks
* Bioinformatics
* Earth Sciences Applications
* Resilience and Robustness of Complex Networks
* Networks for Physical Infrastructures
* Networks, Smart Cities and Smart Grids
* Political networks
* Supply chain networks
* Complex networks and information systems
* Complex networks and CPS/IoT
* Graph signal processing
* Cognitive Network Science
* Network Medicine
* Network Neuroscience
* Quantifying success through network analysis
* Temporal and spatial networks
* Historical Networks
* 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 hussain.doctor at gmail.com Tue Aug 1 15:20:18 2023
From: hussain.doctor at gmail.com (Amir Hussain)
Date: Tue, 1 Aug 2023 20:20:18 +0100
Subject: Connectionists: 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
Due to several requests from authors, we are pleased to announce that the
paper submission deadline for the IEEE TAI Special Issue on "Conversational
AI" has been extended to 30 September. Please see updated Call for Papers
below.
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 in 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
1.
Guest Editors:
Amir Hussain, Edinburgh Napier University, UK E-mail:
a.hussain at napier.ac.uk
2.
Oliver Lemon, Heriot-Watt University, Edinburgh, UK E-mail:
o.lemon at hw.ac.uk
3.
Roberto Pieraccini, (formerly) Google NYC, USA Email:
robertopieracc at gmail.com
4.
Dong Yu, Tencent AI Lab, USA E-mail: dongyu at ieee.org
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From hs497 at cornell.edu Tue Aug 1 12:31:53 2023
From: hs497 at cornell.edu (Hiba Sheheitli)
Date: Tue, 1 Aug 2023 18:31:53 +0200
Subject: Connectionists: FW: Advanced Electrophysiology Postdoc Position -
Interventional Psychiatry Program, Minneapolis, MN, USA
Message-ID:
- About the Job
Dr. Ziad Nahas (Interventional Psychiatry Lab) in the University of
Minnesota Department of Psychiatry and Behavioral Sciences is seeking an
outstanding candidate for a postdoctoral position to conduct and analyze
the effects of neuromodulation on brain activity in mood disorders.
Candidates should be passionate about advancing knowledge in the area of
translational research of depressive disorders and other mental health
conditions with a focus on invasive and non-invasive brain stimulation
treatments. The position is available June 1, 2023, and funding is
available for at least two years.
- Qualifications
Required Qualifications:
?PhD in relevant field (neuroscience, psychology, cognitive science)
?Strong programming and/or data analysis skills. MATLAB or Python is
essential. C/C++ (and derivatives), LabVIEW, and scripting languages could
be useful. Prior experience with data acquisition hardware including
behavioral as well as EEG would be helpful. Proficiency with Microsoft
Office software
?Experience with neurophysiology (human or animal), psychophysics and/or
brain stimulation is ideal.
?Excellent verbal and written communication skills, with specific
documentation of those skills through published work and oral scientific
presentations.
?Demonstrated ability to work independently and to independently overcome
complex technical challenges.
?Interpersonal skills appropriate for collaboration in a very
multidisciplinary and highly diverse environment.
-Preferred Qualifications:
?Previous experience with psychiatric patient populations, the biological
mechanisms of mental illness, and/or medical device development.
?Signal processing and/or computer science background.
?Previous experience with human functional imaging or electrophysiology.
-About the Department
Dr. Ziad Nahas?s Lab is located primarily at the Interventional Psychiatry
Program?s St. Louis Park clinic, with additional study activity at UMN and
M Health Fairview sites on the UMN campus. Our work focuses on advancing
translational research of mood dysregulation and depressive disorders.
Specific interests and areas of expertise include:
? Improving patient care of treatment resistant disorders using
neuromodulation techniques.
? Functional neuroimaging (fMRI), electroencephalography (EEG) and brain
stimulation modalities: Transcranial magnetic stimulation (TMS),
transcranial alternating current stimulation (tACS), vagus nerve
stimulation (VNS), prefrontal cortical stimulation (PCS), deep brain
stimulation (DBS), electroconvulsive therapy (ECT) and focal electrically
administered seizure therapy (FEAST).
? Increasing equitable access to neuromodulation interventions for patient
care.
To learn more about Dr Ziad Nahas and the Department of Psychiatry &
Behavioral Sciences, please visit:
https://med.umn.edu/bio/psychiatry/ziad-nahas
Apply here:
https://hr.umn.edu/Jobs/Find-Job
(Click on External Candidates and search for 355003 to find the Job Posting)
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From akarargyris at gmail.com Wed Aug 2 06:16:35 2023
From: akarargyris at gmail.com (Alex Karargyris)
Date: Wed, 2 Aug 2023 13:16:35 +0300
Subject: Connectionists: NeurIPS 2023 Gaze Meets ML Workshop 2nd Edition
Message-ID:
Dear all,
I am very excited to share with you that the 2nd edition of Gaze Meets ML
workshop will be hosted at NeurIPS 2023 in New Orleans (final date will be
announced soon). 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 15th or 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: December 15 or 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 Wed Aug 2 00:42:50 2023
From: loizos at ouc.ac.cy (Loizos Michael)
Date: Wed, 2 Aug 2023 04:42:50 +0000
Subject: Connectionists: AI and CS Faculty Positions at Open University of
Cyprus
Message-ID:
Dear colleagues,
The Open University of Cyprus invites applications for the following positions in the Faculty of Pure and Applied Sciences:
???? One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Human AI Interaction".
???
???? One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Information Technologies in Education and Learning".
More information here: https://www.ouc.ac.cy/images/files/hr/2022/%CE%A0%CF%81%CE%BF%CE%BA%CE%AE%CF%81%CF%85%CE%BE%CE%B7_%CE%BC%CE%B5%CE%BB%CF%8E%CE%BD_%CE%94%CE%95%CE%A0_vi_2023_english_final.pdf
Regards,
Loizos
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From dao at nict.go.jp Thu Aug 3 00:11:12 2023
From: dao at nict.go.jp (dao at nict.go.jp)
Date: Thu, 03 Aug 2023 13:11:12 +0900
Subject: Connectionists: [CFP] MMM 2024 - special session ICDAR
In-Reply-To: <20230213073406.00001BDE.0344@nict.go.jp>
References: <20230213073406.00001BDE.0344@nict.go.jp>
Message-ID: <20230803041112.000016B5.0721@nict.go.jp>
https://mmm2024.org/specialpaper.html#s4
ICDAR: Intelligent Cross-Data Analysis and Retrieval
Data has become a critical component of human life in the digital age,
where it can be collected from various sources and in real-time,
providing valuable insights into our living environment. However, these
data sources only represent a small piece of the larger puzzle of life.
Therefore, the ability to collect and analyze data across multiple
domains, modalities, and platforms is crucial to solving this puzzle
faster. Recent research has focused on multimodal data analytics, but
there is a lack of investigation into cross-data analysis and retrieval.
This research direction includes cross-modal data, cross-domain, and
cross-platform data analysis and retrieval. For example, cross-modal
retrieval systems use a textual query to look for images, while air
quality index can be predicted using lifelogging images, and daily
exercises and meals can help predict sleeping quality.
To promote intelligent cross-data analytics and retrieval research and
create a smarter, sustainable society, we invite submissions to a
special article collection on "Intelligent Cross-Data Analysis and
Retrieval." We welcome submissions from diverse research domains and
disciplines, including well-being, disaster prevention and mitigation,
mobility, climate change, tourism, healthcare, and food computing. Join
us in exploring the exciting field of cross-data analysis and retrieval!
This Research Topic welcomes submissions from diverse research domains
and disciplines such as well-being, disaster prevention and mitigation,
mobility, climate change, tourism, healthcare, and food computing.
Example topics of interest include, but are not limited to:
- Event-based cross-data retrieval
- Data mining and AI technology
- Complex event processing for linking sensors data from individuals,
regions to broad areas dynamically
Transfer Learning and Transformers
- Hypotheses development of the associations within the heterogeneous
data
- Realization of a prosperous and independent region in which people and
nature coexist
- Applications leveraging intelligent cross-data analysis for a
particular domain
- Cross-datasets for repeatable experimentation
- Federated Analytics and Federated Learning for cross-data
- Privacy-public data collaboration
- Integration of diverse multimodal data
Organizers
- Minh-Son Dao, National Institute of Information and Communications
Technology, Japan
- Michael Alexander Riegler, Simula Metropolitan Center for Digital
Engineering, Norway
- Duc Tien Dang Nguyen, University of Bergen, Norway
- Thanh-Binh Nguyen, University of Science, Vietnam National University
in HCM City
From lmanzoni at units.it Thu Aug 3 11:46:56 2023
From: lmanzoni at units.it (MANZONI LUCA)
Date: Thu, 3 Aug 2023 15:46:56 +0000
Subject: Connectionists: [2nd CFP] EuroGP 24 - the 27th European Conference
on Genetic Programming
Message-ID: <4CF9082A-765F-4D32-BE5C-2AB18A9A9824@units.it>
*** Apologies for cross-posting ***
*********************************************************************************
Second 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 kai.jeggle at env.ethz.ch Thu Aug 3 08:59:21 2023
From: kai.jeggle at env.ethz.ch (Kai Jeggle)
Date: Thu, 3 Aug 2023 14:59:21 +0200
Subject: Connectionists: Tackling Climate Change with Machine Learning
workshop at NeurIPS 2023
Message-ID: <420f6dc3-bc6d-4f8b-bb4f-9af8eabe3e96@env.ethz.ch>
*Climate Change AI is excited to announce
our next workshop on climate change and machine learning to be hosted at
NeurIPS 2023 in New Orleans, Louisiana, USA. There are several ways to
participate:*
*
*
Be a mentor or mentee in our mentorship program (applications due
August 18th)
*
Submit a tutorial proposal on your work (no code necessary)at the
intersection of climate change and machine learning (submissions due
August 8th)
*
Submit a paper or proposal on your work at the intersection of
climate change and machine learning (submissions due September 29th)
*
Attend the workshop in New Orleans (or watch the livestream of the
in-person workshop) on December 15th or 16th
For more details, see the workshop website at:
https://www.climatechange.ai/events/neurips2023
**
*NeurIPS 2023 CCAI Workshop Team:
Rasika Bhalerao (Northeastern University)
Mark Roth (Climate LLC)
Kai Jeggle (ETH Zurich)
Shiva Madadkhani (Technical University of Munich)
Jorge Montalvo (Centrica)
Yoshua Bengio (Mila, UdeM)
*
**
*
Kai
--
*Kai Jeggle*
Ph.D. Candidate, ETH Zurich, Institute for Atmospheric and Climate Science
Core Team, Climate Change AI
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From paolo.dini at cttc.es Fri Aug 4 04:57:20 2023
From: paolo.dini at cttc.es (Paolo Dini)
Date: Fri, 4 Aug 2023 10:57:20 +0200
Subject: Connectionists: CFP 3rd Workshop on Pervasive and Resource
Constraints Artificial Intelligence (PeRConAI)
In-Reply-To:
References:
Message-ID:
3rd IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI)
co-located with IEEE PerCom 2024, March 11-15 2024, Biarritz, France
Website:http://perconai.iit.cnr.it
Email contact for info:perconai at iit.cnr.it
This year?s PeRConAI enjoys the joint technical co-sponsorship of the CHIST-ERA SAI (https://www.sai-project.eu/) and SONATA (https://sonata.cttc.es) projects.
Important dates
---------------
* Paper submission deadline: November 17th, 2023
* Paper notification: January 8th, 2024
Call for Papers
---------------
PeRConAI will focus on solutions contributing towards advancing truly pervasive and liquid AI enabling edge devices, regardless of their available resources, to accomplish training and inference under full, weak, or no supervision.
The increasing pervasiveness of edge devices and the high availability, velocity, and volatility of data generated and collected at the edge of the internet are pushing towards a paradigm shift in the design of AI-based systems. AI systems are moving the execution of both training and inference tasks from powerful and remote data centres where all data is available in a centralized fashion to more pervasive and distributed/decentralized systems at the edge of the internet, working in proximity to where data is physically generated and/or collected.
The design of edge AI systems must leverage the collaboration of several heterogeneous devices working in a highly dynamic context both in terms of processing capabilities and connectivity. Beyond resource limitations, data locally collected or generated by devices might statistically differ from one device to another, even if collected by the same application or belonging to the same phenomenon. Finally, human intervention in the AI process is still predominant, especially in its initial phases, e.g., data preparation, labelling, and pre-processing, thus limiting the necessary speed up to make AI truly pervasive.
Topics of interest
------------------
The PeRConAI workshop aims at fostering the development and circulation of new ideas and research directions on pervasive and resource-constrained AI/ML, bringing together practitioners and researchers working on the intersection between pervasive computing and machine learning.
The PeRConAI workshop solicits contributions on, but not limited to, the following topics:
** Foundations of Advanced Machine learning algorithms and methods for pervasive systems subject to resource limitations addressing the following open challenges:
- Distributed/decentralized Machine Learning for resource-constrained devices (e.g., resource-efficient federated learning);
- Lightweight ML models for on-device training/inference in pervasive computing (e.g., GRU, ELM, MHN, etc.);
- Sustainable AI through new, brain- and bio-inspired ML algorithms exploiting energy-efficient hardware, e.g., FPGA, Neuromorphic HW;
- Compression of deep learning models for real-time inference
- Privacy-preserving distributed/decentralized learning in pervasive and resource-constrained scenarios;
- Trustworthiness of distributed/decentralized learning systems in pervasive and resource-constrained scenarios;
- Semi-supervised and self-supervised learning systems in pervasive and resource-constrained scenarios;
- Learning with imbalanced data in pervasive and resource-constrained scenarios;
- Continual learning in pervasive and resource-constrained scenarios;
Over-the-air computing for distributed/decentralized learning systems in pervasive and resource-constrained scenarios.
** Applications of Advanced Machine learning algorithms, methods, and approaches for pervasive computing under resource limitations applied to the following application domains:
- Health and well-being applications (e.g. activity recognition, health monitoring).
- Anomaly/Novelty detection (e.g. Industry 4.0, intrusion detection, privacy, and security).
- Audio signal processing (e.g., sound event detection, speech recognition/processing).
- Video stream processing on resource-constrained devices.
- Natural Language Processing and Information Retrieval (e.g. conversational applications running on resource-constrained, mobile, or
edge devices).
- Intersection between mobile computing with ML/DL on resource-constrained devices.
- Any other real-world applications and case studies where the pervasiveness of resource-constrained devices is central for knowledge extraction.
Submissions Guidelines
----------------------
All papers must be at most 6 pages of technical content, typeset in double-column IEEE format using 10pt fonts on US letter paper, with all fonts embedded.
As for the main conference, in PeRConAI the peer-review process will be double-blind. Therefore, the paper must not contain names, affiliations or any other reference to the authors.
Submissions must be made via EDAS. The IEEE LaTeX and Microsoft Word templates, as well as related information, can be found on the IEEE Computer Society website.
PeRConAI will be held in conjunction with IEEE PerCom 2024 (https://www.percom.org). All accepted papers will be included in the Percom workshops proceedings and included and indexed in the IEEEXplore digital library. At least one author will be required to have a full registration at the PerCom 2024 conference and present the paper during the workshop.
Submission link:https://perconai2024.edas.info/N31008
Organising committee
--------------------
Prof. Plamen Angelov, Lancaster University, UK
Prof. Mario Luca Bernardi, University of Sannio, IT
Dr. Paolo Dini, CTTC, ES
Dr. Franco Maria Nardini, ISTI-CNR, IT
Prof. Riccardo Pecori, eCampus University, IT and IMEM-CNR, IT
Dr. Lorenzo Valerio, IIT-CNR, IT
--
*Paolo Dini*
Senior researcher (R3)
**
Sustainable Artificial Intelligence (SAI) research unit
Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC)
Av. Carl Friedrich Gauss, 7 - Building B4
08860 - Castelldefels
Tel.: +34 93 645 29 00
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This message and any attached document, where appropriate, may be
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From hash at jaist.ac.jp Fri Aug 4 12:20:52 2023
From: hash at jaist.ac.jp (Takashi Hashimoto)
Date: Sat, 5 Aug 2023 01:20:52 +0900
Subject: Connectionists: [job] associate professor in Emergent AI studies
Message-ID: <5c5cb486-bd1d-435f-8d74-548f426f44a0@jaist.ac.jp>
Associate professor (tenure track) in Emergent AI studies
at Japan Advanced Institute of Science and Technology
Candidate is expected to conduct active research and education in the field of
Emergent AI studies
(Using data science and AI technology to generate scientific principles through co-creative investigation on principles, problem solving, and design underlying social, organizational, human, natural phenomena, and art, and through the exploring methodologies for such principles.)
Starting Date: April 1, 2024
Term of Employment: 10 years
Deadline: 15 Sep, 2023
For details, see https://www.jaist.ac.jp/top/data/ks20230724-1e.pdf
--
Takashi Hashimoto
https://sites.google.com/view/jaist-hashimoto-lab-eng/
Professor, School of Knowledge Science
Japan Advanced Institute of Science and Technology (JAIST)
From battleday at princeton.edu Sat Aug 5 00:09:44 2023
From: battleday at princeton.edu (Ruairidh McLennan Battleday)
Date: Sat, 5 Aug 2023 00:09:44 -0400
Subject: Connectionists: Call for papers: Symposium on the Mathematics of
Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece.
Message-ID:
Fourth International Symposium on the Mathematics of Neuroscience.
28th September - 1st October 2023, Old Town, Rhodes, Greece.
?----------------
Call for papers
?----------------
We invite submissions for this year?s conference on the mathematics of
neuroscience:
www.neuromonster.org
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.
Submissions will be assigned to either a short talk, spotlight talk, or
poster presentation.
*Keynote Speakers*
Professor Aapo Hyv?rinen (University of Helsinki)
Professor Janneke Jehee (Donders Institute)
*Session Chairs*
Biocomputation: Professor Dan V. Nicolau (King?s College London / Oxford)
Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT)
Neurotheory: Dr James Whittington (Oxford / Stanford)
Representational alignment: Dr Ilia Sucholutsky (Princeton)
*Confirmed Talks*
Professor Andrew Adamatzky (UWE)
Professor Dan Nicolau Sr (McGill)
Professor Bill Thompson (Berkeley)
Professor Bradley Love (UCL)
Dr Thomas Parr (UCL)
Dr Ilias Rentzeperis (SNRC)
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 is by 250-word abstract before the 27th August 2023, emailed to
the session chairs at battleday at thinkingaboutthinking.org, indicating the
desired session.
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From steve at bu.edu Fri Aug 4 18:22:33 2023
From: steve at bu.edu (Grossberg, Stephen)
Date: Fri, 4 Aug 2023 22:22:33 +0000
Subject: Connectionists: ChatSOME: A neural model of how children learn
language meanings
In-Reply-To:
References:
Message-ID:
Dear Connectionists colleagues,
I am writing to call your attention to an article that I just published Open Access which is relevant to many current themes in neural modeling:
Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult?child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14.
https://doi.org/10.3389/fpsyg.2023.1216479
Here is its Abstract:
++++++++++++++++++++++
This article describes a biological neural network model that can be used to explain how children learn to understand language meanings about the perceptual and affective events that they consciously experience. This kind of learning often occurs when a child interacts with an adult teacher to learn language meanings about events that they experience together. Multiple types of self-organizing brain processes are involved in learning language meanings, including processes that control conscious visual perception, joint attention, object learning and conscious recognition, cognitive working memory, cognitive planning, emotion, cognitive-emotional interactions, volition, and goal-oriented actions. The article shows how all of these brain processes interact to enable learning of language meanings to occur. The article also contrasts these human capabilities with AI models like ChatGPT. The current model is called the ChatSOME model, where SOME abbreviates Self-Organizing Meaning.
+++++++++++++++++++++++++++++++++
These contributions build upon results that are described in my recently published Magnum Opus:
Conscious Mind, Resonant Brain: How Each Brain Makes a Mind
https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552
that I wrote to be self-contained and non-technical in a conversational style for the general public.
Best,
Steve
Stephen Grossberg
Wang Professor of Cognitive and Neural Systems
Director, Center for Adaptive Systems
Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering
Boston University
sites.bu.edu/steveg/
steve at bu.edu
http://en.wikipedia.org/wiki/Stephen_Grossberg
http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en
https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf
https://youtu.be/9n5AnvFur7I
https://www.youtube.com/watch?v=_hBye6JQCh4
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From c.dovrolis at cyi.ac.cy Mon Aug 7 01:39:25 2023
From: c.dovrolis at cyi.ac.cy (Constantine Dovrolis)
Date: Mon, 7 Aug 2023 05:39:25 +0000
Subject: Connectionists: Associate Research Scientist position in Cyprus
Message-ID:
Closing Date: 31/08/2023
The Cyprus Institute (CyI) is a European non-profit Science and Technology oriented Educational and Research Institution based in Cyprus and led by an acclaimed Board of Trustees. The research agenda of the CyI is pursued at its five Research Centres: The Computation-based Science and Technology Research Centre (CaSToRC), the Science and Technology in Archaeology and Culture Research Centre (STARC), the Energy Environment Water Research Centre (EEWRC), the Climate and Atmosphere Research Centre (CARE-C), and the Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC). Considerable cross-centre interaction is a characteristic of the Institute?s culture.
The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as an Associate Research Scientist, and pursue Research & Development (R&D) in the areas of High-Performance Data Analytics (HPDA) and large-scale Data Science (DS) and Machine Learning (ML). The successful candidate will join both the research and engineering teams of the EuroCC-2 project, to support the EuroHPC National Competence Center (NCC) of Cyprus.
About the EuroCC-2 project
EuroCC-2 is a pan-European project, involving over 30 countries, with the main objective of advancing the competencies of European communities in High-Performance Computing and High-Performance Data Analytics. The Computation-based Science and Technology Research Center (CaSToRC) of the Cyprus Institute is the National Competence Centre for HPC, and as part of EuroCC-2, aims to promote advanced technologies in Cyprus, with a focus on HPC, HPDA, machine learning, artificial intelligence and computational modeling/simulation. The main aims for EuroCC-2 in Cyprus include strengthening these technical competencies of the island, advancing competitiveness in research and innovation, improving the effectiveness of government services and promoting innovation by engaging with industry. Particular effort is placed on maximizing the socioeconomic impact of advanced technologies through increased collaboration with academia, industry, the public sector, and other national projects.
Position Description
The EuroCC-2 Associate Research Scientist will be working in Research and Development projects that mostly involve HPDA and large-scale Machine Learning. The main goal of these projects is to enable academic, public and private organizations in Cyprus to develop their HPC, HPDA, ?Big Data?, ML/AI, and computational modeling skills and to benefit from the growing potential of these technologies. The selected candidate will be working closely with CyI Faculty, Research staff, the Engineering team, as well as with external organizations towards achieving this goal. This position offers a unique opportunity for exciting R&D using state-of-the-art HPC, ?Big Data?, and DS/ML methods, and interacting with both researchers and users of these technologies.
The initial period of the appointment will be for a duration of two years, with the option of renewal subject to performance and availability of funds. An internationally competitive remuneration package will be offered, which is commensurate with the level of experience of the successful candidate.
Responsibilities/activities to be involved in:
1. Participation in collaborative projects with academia/industry/public sector.
2. Consultation services for industry/public sector, including proof of concept projects.
3. Collection and statistical analysis of data from various application domains.
4. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data scientists.
1. Development of novel methods in any of the following: HPDA, machine learning/AI, data-driven computational science.
2. Contribution to project reports and deliverables.
3. Involvement in training and user-support events.
Required Qualifications
1. PhD in Computer Science, Electrical and Computer Engineering, Data Science or any other relevant field. The candidate must hold a PhD degree of a recognized higher education institution before the deadline of the opening. Candidates who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will also be considered eligible to apply provided that they can document their successful defense of the thesis.
2. Previous experience in at least one of the following areas: HPC, HPDA, data mining, machine learning, AI, data-driven computational science. The candidate should have at least two publications in leading journals and/or conferences in that research area(s).
3. At least 3-years of relevant experience (including PhD research)
4. Experience with processing large and noisy datasets.
5. Ability to present technical concepts to non-technical users.
1. Strong programming skills and experience with data analysis and/or machine learning frameworks such as R or PyTorch.
1. Ability to work as part of an interdisciplinary team while showing initiative and independence.
2. Excellent knowledge of the English language (written and verbal).
3. Excellent communication and interpersonal skills.
Preferred Qualifications
1. Experience with statistical methods.
2. Experience in at least one cross-disciplinary application domain.
Application
For full consideration, interested applicants should process their application at The Cyprus Institute Exelsys Platform (https://bit.ly/3HDLRTw) based on the instructions given. Applicants should submit a curriculum vitae including a short letter of interest, [list of publications] and a list of three (3) referees (including contact information) (all documentation should be in English and in PDF Format). For further information, please contact Prof Constantine Dovrolis (c.dovrolis at cyi.ac.cy). Please note that applications which do not fulfill the required qualifications and do not follow the announcement?s guidelines will not be considered.
Recruitment will continue until the position is filled.
The Cyprus Institute is an Equal Opportunities Employer certified from the Cypriot Ministry of Labor and also an HRS4R accredited Institution that adheres to the European Commission?s ?Charter & Code? principles for recruitment and selection.
Contact person: Constantine Dovrolis
Reference number: CaSToRC_ARS_23_07
Best regards,
Constantine Dovrolis ? short bio
Professor and Director of CaSToRC ? The Cyprus Institute ? www.cyi.ac.cy
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From iswc.conf at gmail.com Sat Aug 5 20:15:34 2023
From: iswc.conf at gmail.com (International Semantic Web Conference)
Date: Sat, 5 Aug 2023 20:15:34 -0400
Subject: Connectionists: [CFP] Call for Participation,
early bird registration closing soon and more!
Message-ID:
************************************************************
***********************************************
*22nd International Semantic Web Conference (ISWC 2023), Call for
Participation*
Athens, Greece, November 6-10, 2023
https://iswc2023.semanticweb.org/
************************************************************
***********************************************
Early Registration for ISWC 2023 is closing soon!
See https://iswc2023.semanticweb.org/attending/registration/ for register.
Join us from anywhere in the world for the International Semantic Web
Conference and enjoy the insightful keynotes[1], presentations, posters &
demos, workshops & tutorials, SW challenges, doctoral consortium while
networking and making connections with the semantic web community. The
program schedule can be accessed through https://iswc2023.semanticweb.org/
General Chair
*Juanzi Li**,* Dept. of Computer Science and Technology, Tsinghua
University, Beijing, China
Local Organizing Chairs
*- Manolis Koubarakis*, National and Kapodistrian University of
Athens Athens, Greece
*- Dimitris Plexousakis**,* Institute of Computer Science, Foundation for
Research and Technology Hellas and Dept. of Computer Science, University of
Crete Heraklion, Greece
- *George Vouros*, Dept. of Digital Systems, University of Piraeus Piraeus,
Greece
Links:
[1] Keynote Speakers ? ISWC 2023 (semanticweb.org)
[2] Conference ? ISWC 2023 (semanticweb.org)
A big thank you to all our sponsors (Sponsors ? ISWC 2023 (semanticweb.org)
)
See you all at ISWC 2023!
The ISWC 2023 Organizing Team
Organizing Committee ? ISWC 2023 (semanticweb.org)
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From j.rapela at ucl.ac.uk Mon Aug 7 07:42:07 2023
From: j.rapela at ucl.ac.uk (Joaquin Rapela)
Date: Mon, 7 Aug 2023 12:42:07 +0100
Subject: Connectionists: Job opportunity at Gatsby unit, SWC and NeuroGEARS
Message-ID:
Hello list,
We have an open position for a research software engineer (machine learning and
neuroscience) in London (UK) at the Gatsby Unit, the Sainsbury Wellcome Centre
for Neural Circuits and Behaviour (SWC) and NeuroGEARS Ltd.
Deadline: 25 August 2023
We invite applications for a Research Software Engineer (RSE) position with
expertise in :
. software development and/or
. machine learning and/or
. neural data analysis and/or
. experimental control (ideally with the Bonsai ecosystem)
to contribute to the recently funded project ``Machine Learning for
Neuroscience Experimental Control''
https://gow.bbsrc.ukri.org/grants/AwardDetails.aspx?FundingReference=BB%2FW019132%2F1
The initial appointment will be for two years. Salary will be in the range of
?50,085-?63,291; a competitive supplement may be offered to candidates who
match well the knowledge, skills and experience required for this role.
You will contribute to the neuroscience community with advanced machine
learning software for experimental control. You will be embedded in the
unparalleled research environment of the Gatsby Unit, the SWC and NeuroGEARS,
with opportunities to connect with top researchers and engineers.
For detailed information and how to apply, please visit the UCL Job Portal (Ref
B02-05510):
https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=13635. For
informal inquiries about the position, please contact me at j.rapela ?at?
ucl.ac.uk.
Cordially, Joaquin
From stmanion at gmail.com Mon Aug 7 10:37:01 2023
From: stmanion at gmail.com (Sean Manion)
Date: Mon, 7 Aug 2023 10:37:01 -0400
Subject: Connectionists: New Journal Section at Frontiers - Systems Concepts,
Theory and Policy in Biology and Medicine
Message-ID:
Hello all!
I would like to let you know about a new journal section at Frontiers in
Systems Biology that we have just launched - Systems Concepts, Theory and
Policy in Biology and Medicine. This will include a focus on "Application
of artificial intelligence and other emerging technologies to facilitate an
integrative approach to systems biology and medicine".
Frontiers in Systems Biology | Systems Concepts, Theory and Policy in
Biology and Medicine
*Scope*
Biology and medicine have become exceedingly complex. Systems approaches to
biology and medicine have delivered integrated and interdisciplinary
approaches to address this complexity to solve the problems that face the
global population today. Yet even systems biology and systems medicine
often remain fragmented, with researchers working in silos of discipline or
therapeutic area without considering the holistic nature of the problems we
address, which may include physiological, behavioral, environmental,
technological, sociocultural or policy/regulatory components.
The Systems Concepts, Theory and Policy in Biology and Medicine section of
Frontiers in Systems Biology focuses on integrative concepts, underlying
theory of the systems approach, and policy implications and recommendations
relevant to biology and medicine to overcome these barriers and provide
more broadly holistic solutions.
Areas covered by this section include but are not limited to:
? Studies of the intersection of behavioral or psychological concepts with
biology and medicine
? Exploration of how regulatory policies promote or inhibit systems
approaches in medicine
? Applications of multi-systems measures in medicine to drive prevention
and early detection of disease
? Application of artificial intelligence and other emerging technologies to
facilitate an integrative approach to systems biology and medicine
? Application of systems biology principles and computational tools to
study sociocultural factors relevant to human health (e.g. racism, poverty,
healthcare disparities)
? Studies of the impact of environmental systems, including systems
impacting climate change, on biology and health.
This section accepts all article types allowed by Frontiers in Systems
Biology ? including but not limited to: Original Research, Systematic
Reviews, Policy and Practice Reviews, Hypothesis & Theory, Perspective,
Community Case Studies, Policy Briefs, Technology & Code, and more.
Cheers!
Sean
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From terry at snl.salk.edu Mon Aug 7 13:03:23 2023
From: terry at snl.salk.edu (Terry Sejnowski)
Date: Mon, 7 Aug 2023 10:03:23 -0700
Subject: Connectionists: NEURAL COMPUTATION - August, 2023
In-Reply-To:
References:
Message-ID:
NEURAL COMPUTATION - Volume 35, Number 8 - August 1, 2023
Now available for online download:
http://www.mitpressjournals.org/toc/neco/35/8
http://cognet.mit.edu/content/neural-computation
-----
Articles
Optimal Burstiness in Populations of Spiking Neurons
Facilitates Decoding of Decreases in Tonic Firing
Greg Schwartz, Sylvia C. L. Durian, and Mark Agrios
Graph-Regularized Tensor Regression: A Domain-Aware Framework
for Interpretable Modelling of Multi-Way Data on Graphs
Yao Lei Xu, Kriton Konstantinidis, and Danilo P. Mandic
Letters
Maximal Memory Capacity Near the Edge of Chaos
in Balanced Cortical E-I Networks
Takashi Kanamaru, Takao K. Hensch, and Kazuyuki Aihara
Attention in a Family of Boltzmann Machines
Emerging From Modern Hopfield Networks
Ryo Karakida, Toshihiro Ota
-----
ON-LINE -- http://www.mitpressjournals.org/neco
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889? FAX: (617) 577-1545 journals-cs at mit.edu
-----
On 7/28/2023 2:12 PM, Terry Sejnowski wrote:
> NEURAL COMPUTATION - Volume 35, Number 7 - July 1, 2023
>
> Now available for online download:
>
> http://www.mitpressjournals.org/toc/neco/35/7
> http://cognet.mit.edu/content/neural-computation
>
> -----
>
> Articles
>
> A Predictive Processing Model of Episodic Memory and Time Perception
> Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou,
> Anil K. Seth, Murray Shanahan, and Warrick Roseboom
>
> Reduced Dimension, Biophysical Neuron Models Constructed From Observed Data
> Randall Clark, Lawson Fuller, Jason A Platt, and Henry Abarbanel
>
> Differential Dopamine Receptor-dependent Sensitivity Improves the
> Switch Between Hard and Soft Selection in a Model of the Basal Ganglia
> Olivier Codol, Paul L. Gribble, and Kevin N. Gurney
>
> Letter
>
> Sensitivity of Sparse Codes to Image Distortions
> Kyle Luther, H. Sebastian Seung
>
> -----
>
> ON-LINE -- http://www.mitpressjournals.org/neco
>
> MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
> Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu
>
> -----
>
From julia.verhoef at donders.ru.nl Tue Aug 8 08:02:55 2023
From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia))
Date: Tue, 8 Aug 2023 12:02:55 +0000
Subject: Connectionists: HIGHLIGHTS IN THE LANGUAGE SCIENCES CONFERENCE 2024
In-Reply-To:
References:
Message-ID:
HIGHLIGHTS IN THE LANGUAGE SCIENCES CONFERENCE 2024
The Language in Interaction Consortium (LiI) is pleased to announce the Highlights in the Language Sciences Conference 2024, celebrating the conclusion of our 10-year Gravitation Programme and the advances made in language-related disciplines including genetics, neuroscience, psychology, linguistics and computational modeling.
The conference will take place 8-11 July 2024 at the Radboud University in Nijmegen. We are putting together an exciting programme with top-level key experts in the relevant fields of research. Confirmed speakers include David Poeppel (NYU, Strungmann Institute, Frankfurt), Ghislaine Dehaene-Lambertz (CNRS Paris), Vera Demberg (Universit?t des Saarlandes), Uri Hasson (Universiy of Princeton), Barbara Kaup (University T?bingen), Tal Linzen (NYU).
Registration and attendance of the conference is free of charge, and will open in October 2023. Abstract submission for the poster session will open in October as well. Further details will be announced on our website: www.languageinteraction.nl.
Language in Interaction is a consortium of researchers at Dutch universities and research institutes (including the Institute for Logic, Language and Computation, (UvA); the Max Planck Institute for Psycholinguistics; the Donders Institute for Brain, Cognition and Behaviour; among others). The LiI consortium has acquired substantial experience in addressing a series of Big Questions (BQs) in language-related disciplines, uniquely combining diverse fields, including genetics, neuroscience, psychology, linguistics and computational modeling (as summarized in the consortium book: Hagoort (Ed.), Human Language: from genes and brains to behavior, MIT Press, 2019).
Julia Verhoef
______________________
Management Assistant - Language in Interaction consortium
Radboud University |PO Box 9104, 6500 HE Nijmegen, the Netherlands |Tel: +31 6 54330080| julia.verhoef at donders.ru.nl|www.ru.nl|Available Mo-Fri 9.00 - 14.00 hrs.
This message (and any attachments) is intended solely for the addressee(s) and may contain confidential information. If you are not the addressee, do not copy this message (and any attachments), forward or share this message with third parties. You are requested to notify the sender immediately and delete this message.
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From jorgecbalmeida at gmail.com Wed Aug 9 10:10:25 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Wed, 9 Aug 2023 15:10:25 +0100
Subject: Connectionists: REMINDER - First edition of the Seeing and Acting
Workshop (SAW). University of Coimbra, Portugal, 21-23 September 2023er
Message-ID:
Dear colleague,
Have you registered and/or sent your poster to the first edition of the *Seeing
and Acting Workshop (SAW)?* 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 NOW OPEN!!
*Abstract submission for posters closes on September 1, 2023*. The five
best abstracts whose first author is a student or postdoc will receive a
200 euro award sponsored by ANTneuro.
Registration for the workshop is now open. 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. Note that you can register now and submit an
abstract later (but before the September 1, 2023 deadline).
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.
*Abstract submission for posters closes on September 1, 2023*. The five
best abstracts whose first author is a student or postdoc will receive a
200 euro award sponsored by ANTneuro.
Registration for the workshop is now open. 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. Note that you can register now and submit an
abstract later (but before the September 1, 2023 deadline).
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 ftobar at uchile.cl Wed Aug 9 15:36:43 2023
From: ftobar at uchile.cl (Felipe Tobar)
Date: Wed, 9 Aug 2023 15:36:43 -0400
Subject: Connectionists: Postdoc in Data Science at Universidad de Chile
Message-ID: <946C89B4-0AC2-472A-86F7-15AFD02B5FA4@uchile.cl>
We are hiring: IDIA-NIC Postdoctoral Researcher 2023
Call website: https://idia.uchile.cl/2023/08/we-are-hiring-idia-nic-postdoctoral-researcher-2023/
The Initiative for Data & Artificial Intelligence at Universidad de Chile is looking for Postdoctoral Researchers to join a collaborative team of PIs working on theoretical and applied aspects of Data Science. This position is generously funded by NIC Chile ,
The role of the postholder(s) is twofold: first, they will engage and collaborate in current projects at the Initiative related to statistical machine learning, natural language processing and deep learning, with applications to time series analysis, health informatics, and astroinformatics. Second, they are expected to bring novel research lines affine to those currently featured at the Initiative, possibly in the form of theoretical work or applications to real-world problems of general interest.
The successful candidate will have a PhD in Engineering, Mathematics, Statistics, Computer Science, Machine Learning or a related field with a proven research track record; postdoctoral research experience is desired yet not required. The postholder will be a highly motivated researcher who can work independently and contribute as part of a multidisciplinary team with experience in the broad subfields of Data Science and their intersection with Engineering, Computer Science, Signal Processing, Medicine, and Astronomy.
These positions are offered on a fixed term basis for up to one year with a possibility for a further year extension.
Salary: CLP $2.020.000 per month (before taxes)
How to Apply
Please prepare the following documents and send them directly to idia [AT] uchile [DOT] cl.
a) Curriculum Vitae.
b) List of publications highlighting the most-relevant publications for this call.
c) Research plan (two pages).
d) Certificate of doctoral degree and other academic degrees if relevant.
e) Two recommendation letters, sent directly by the referees.
f) Signed statement indicating compliance to the legal requirements for the post. See the provided template here (Spanish)
Deadline: 25 September 2023
For more details about the evaluation process, please refer to the official call document here
If you have any questions about this vacancy or the application process, please contact Felipe Tobar: ftobar [AT] uchile [DOT] cl.
Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world-class research groups.
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From Donald.Adjeroh at mail.wvu.edu Wed Aug 9 22:25:09 2023
From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh)
Date: Thu, 10 Aug 2023 02:25:09 +0000
Subject: Connectionists: Call for Papers: IEEE BIBM-LncRNA'23: Workshop on
Long Non-Coding RNAs
In-Reply-To:
References: ,
,
,
,
Message-ID:
Apologies if you receive multiple copies ...
See our website: BIBM- LncRNA'2023:
https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/
Paper submission deadline: Oct. 24, 2023 -- see below
Call for Papers
The IEEE BIBM 2023 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Dec. 5 - 8, 2023.
Though the BIBM conference will be held in Istanbul, Turkey, the LncRNA workshop will be held in a mixed mode -- both virtual/remote and in-person in Istanbul, Turkey.
BIBM- LncRNA'2023:
https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/
IEEE BIBM 2023:
https://ieeebibm.org/BIBM2023/
The recent application of high throughput technologies to transcriptomics has changed our view of gene regulation and function. The discovery of extensive transcription of large RNA transcripts, termed long noncoding RNAs (lncRNAs), provide an important and new perspective on the centrality of RNA in gene regulation. LncRNAs are involved in various biological and cellular processes, such as genetic imprinting, chromatin remodeling, gene regulation and embryonic development. LncRNAs have been implicated in several chronic diseases, such as cancers, and heart disease, etc. Various types of genomic data on lncRNAs are currently available, including sequences, secondary/tertiary structures, transcriptome data, and their interactions with related proteins or genes. The key challenge is how to integrate data from myriad sources to determine the functions and the regulatory mechanism of these ubiquitous lncRNAs.
Research topics:
The potential topics include, but not limited to, the following:
lncRNA detection and biomarker discovery
CLIP-Seq and RIP-Seq data analysis
Prediction of physical binding between lncRNA and DNA, RNA and protein.
Competition and interaction between lncRNA, miRNA and mRNA
Studying methylation regulating lncRNA functions
Function Prediction for lncRNAs
Deep learning approaches to lncRNA/RNA binding protein prediction
Computational approaches to analyzing lncRNA
lncRNA 3D secondary structures
lncRNA-protein interactions
lncRNA in epigenetic regulation
lncRNA associated diseases network
lncRNAs in plant genomics
lncRNAs in phenotype-genotype problems
lncRNAs and single cell transcriptomics
lncRNAs and spatial transcriptomics
CRISPR/Cas9 and Genome editing in lncRNAs
We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshop. Authors of selected papers will be invited to extend their papers for submission to special issues in prestigious Journals.
Fellowships:
Funds are available for limited fellowships to support the participation of students, and of researchers from underrepresented minority groups in the workshop.
We aim at supporting at least one author for each accepted paper, depending on number of papers, and on availability of funds.
Journal Special Issue:
Authors of selected submissions may be invited to extend their papers for submission for review and possible publication in a special issue of a journal. The journal special issue for the 2021 workshop is being published by the journal Non-Coding RNA.
https://www.mdpi.com/journal/ncrna/special_issues/81CH217P14
Paper Submission:
(Abstract, Short Paper, or Full Paper)
Please submit your abstract (1 page), short paper (2 pages), or full-length paper (up to 8 pages in IEEE 2-column format) through the online submission system. Electronic submissions in pdf format are required.
Click on this link to submit paper.
Important Dates:
Oct 24, 2023, 11:59:59 PM WST: Due date for full workshop paper submission.
Nov 10, 2023: Notification of paper acceptance to authors
Nov 21, 2023: Camera-ready of accepted papers
Dec 5-8, 2023: Workshops and Conference
BIBM-LncRNA'23 Workshop home page:
https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2023/
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From info at incf.org Thu Aug 10 07:37:11 2023
From: info at incf.org (INCF)
Date: Thu, 10 Aug 2023 13:37:11 +0200
Subject: Connectionists: *Deadline extended* INCF Short Course: Introduction
to Neuroinformatics
Message-ID:
**Deadline extended* INCF Short Course: Introduction to Neuroinformatics*
In coordination with the University of Washington and the West Big Data
Innovation Hub
October 2-4
Seattle, Washington, US
Application deadline: August 31
50% discount for INCF members !
Registration has been extended for this Short Course on Neuroinformatics!
This course will teach neuroscientists and researchers from related fields
about neuroinformatics: the science & engineering of brain data.
Speakers include:
- Maryann Martone, University of California San Diego
- Matthew Glasser, Washington University School of Medicine in St. Louis
- Ariel Rokem, University of Washington
- Ashley Juavinett, University of California, San Diego
- Franco Pestilli, University of Texas at Austin
- Yaroslav Halchenko, Dartmouth College, Center for Open Neuroscience
- Dimitri Yatsenko, DataJoint
...and more!
Topics covered include:
- AI & machine learning
- How to write a data management plan
- Neuroethics, data governance, & international data sharing
- Data science & reproducibility
- Neuroinformatics
- Neuroscience & neuroanatomy
...and more!
Learn more: bit.ly/INCFcourse2023
Register here: bit.ly/INCFcourse2023reg
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From sabu.thampi at iiitmk.ac.in Thu Aug 10 07:00:50 2023
From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi)
Date: Thu, 10 Aug 2023 16:30:50 +0530
Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_8th_International_Sy?=
=?utf-8?q?mposium_on_Intelligent_Informatics_=28ISI=E2=80=9923=29?=
Message-ID:
====================================================================
** Apologies if you receive multiple copies of this announcement **
** Please forward to anyone who might be interested **
====================================================================
Call for Papers: 8th International Symposium on Intelligent Informatics
(ISI?23)
December 18-20, 2023, Bangalore, India
https://acn-conference.org/2023/isi2023/
Submission Deadline: September 30, 2023
EDAS Submission Link: https://edas.info/N31318
Proceedings by Springer in Smart Innovation, Systems and Technologies Series
=====================================================================
The 8th International Symposium on Intelligent Informatics (ISI?23) aims to
bring together researchers and practitioners from all over the world to
share and discuss theoretical and practical developments in intelligent
informatics. The scope of the Symposium includes but is not limited to, AI,
Machine Learning, Cognitive Computing, Soft Computing, Security
Informatics, Data Science, Computer Vision, Pattern Recognition,
Intelligent Software Engineering, Intelligent Networked Systems, IoT,
Cyber-Physical Systems and NLP. All accepted papers will be published by
Springer in Smart Innovation, Systems and Technologies Series. This series
is abstracted/indexed by SCOPUS, EI Compendex, INSPEC, SCImago and DBLP.
The proceedings will be available via the SpringerLink digital library.
ISI?23 invites original and unpublished work from individuals active in the
broad theme of the Symposium. Topics of interest include, but are not
limited to:
-- Artificial Intelligence for Signal Processing
-- Artificial Immune Systems
-- Autonomous Agents and Multi-Agent Systems
-- Bayesian Networks and Probabilistic Reasoning
-- Big Data Analytics and Intelligence
-- Biologically Inspired Intelligence/Brain-Computer Interfacing
-- Chaos, Fractals, Rough Sets
-- Cognitive Computing and Cognitive Systems
-- Complex Networks and Systems
-- Computer Vision
-- Computational Intelligence and Soft Computing
-- Control and Automation
-- Cyber-Physical Systems
-- Distributed Intelligent Systems
-- Energy Systems
-- Fault Detection, Fault Analysis, and Diagnostics
-- Fusion of Neural Networks and Fuzzy Systems
-- Green and Renewable Energy Systems
-- High-Performance Computing
-- Human Interface, Human Information Processing
-- Hybrid and Distributed Algorithms
-- Image and Speech Signal Processing
-- Intelligence and Security Informatics
-- Intelligent Sensor Networks
-- Intelligent Software Engineering
-- Intelligent Networked Systems
-- Internet of Things and Ubiquitous Intelligence
-- Knowledge-Based Systems, Knowledge Networks
-- Machine Learning, Reinforcement Learning
-- Memetic Computing
-- Natural Language Processing
-- Networked Control Systems
-- Neural Networks and Applications
-- Optimization and Decision Making
-- Pattern Classification and Recognition
-- Robotic Intelligence/Business Intelligence
-- Robustness Analysis, Wavelet Analysis
-- Self-Organizing Systems, Stochastic systems
-- Security Informatics
-- Social Intelligence, Web Intelligence
-- Support Vector Machines
-- Swarm Intelligence, Ant Colonies
-- Virtual Reality in Engineering Applications
-- Visualization for Artificial Intelligence
Important Dates
----------------
Papers Due: September 30, 2023
Acceptance Notification: October 31, 2023
Final Paper Deadline: November 25, 2023
Contact: intelligent.informatica at gmail.com
---
Sabu M. Thampi, Ph.D., SMIEEE, SMACM
Professor, School of Computer Science & Engineering(SoCSE)
Dean(Research), Controller of Examinations
Coordinator, Connected Systems and Intelligence Lab
Kerala University of Digital Sciences, Innovation and Technology (KUDSIT)
Indian Institute of Information Technology and Management - Kerala (IIITM-K)
Technopark Phase IV, Trivandrum-695317, Kerala, India
Ph. +91-471-2788047, Mobile: +91-9447103005
E-mail: sabu.thampi at duk.ac.in, sabu.thampi at iiitmk.ac.in, smthampi at ieee.org
URL: www.sabumthampi.in *; https://duk.ac.in/ *
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From dwang at cse.ohio-state.edu Thu Aug 10 08:26:32 2023
From: dwang at cse.ohio-state.edu (Wang, Deliang)
Date: Thu, 10 Aug 2023 12:26:32 +0000
Subject: Connectionists: NEURAL NETWORKS, August 2023
Message-ID:
Neural Networks - Volume 165, August 2023
https://www.journals.elsevier.com/neural-networks
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition
Zhenpeng Feng, Hongbing Ji, Milo? Dakovi?, Mingzhe Zhu, Ljubi?a Stankovi?
Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training
Zongshen Mu, Siliang Tang, Yueting Zhuang, Dianhai Yu
Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure
Wenhao Lu, Zhengyuan Zhang, Feng Qin, Wenwen Zhang, ... Yuanjin Zheng
MI-CAT: A transformer-based domain adaptation network for motor imagery classification
Dongxue Zhang, Huiying Li, Jingmeng Xie
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, ... Shijie Zhao
SCL: Self-supervised contrastive learning for few-shot image classification
Jit Yan Lim, Kian Ming Lim, Chin Poo Lee, Yong Xuan Tan
Distributional generative adversarial imitation learning with reproducing kernel generalization
Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, ... Yaxin Peng
Cross-modal hashing with missing labels
Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang, ... Na Han
HybridBranchNet: A novel structure for branch hybrid convolutional neural networks architecture
Ebrahim Parcham, Mansoor Fateh
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J.A. van Nijnatten, ... Siamak Mehrkanoon
Attention guided learnable time-domain filterbanks for speech depression detection
Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, ... Xizhe Zhang
Topology identification for stochastic multi-layer networks via graph-theoretic method
Chunmei Zhang, Ran Li, Quanxin Zhu, Qin Xu
A regularization perspective based theoretical analysis for adversarial robustness of deep spiking neural networks
Hui Zhang, Jian Cheng, Jun Zhang, Hongyi Liu, Zhihui Wei
Forward propagation dropout in deep neural networks using Jensen-Shannon and random forest feature importance ranking
Mohsen Heidari, Mohammad Hossein Moattar, Hamidreza Ghaffari
VLAD: Task-agnostic VAE-based lifelong anomaly detection
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
Discriminative analysis dictionary learning with adaptively ordinal locality preserving
Jing Dong, Kai Wu, Chang Liu, Xue Mei, Wenwu Wang
SCADA securing system using deep learning to prevent cyber infiltration
Sayawu Yakubu Diaba, Theophilus Anafo, Lord Anertei Tetteh, Michael Alewo Oyibo, ... Mohammed Elmusrati
Multi-view subspace clustering via adaptive graph learning and late fusion alignment
Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, ... Wei Zhang
Adversarial feature hybrid framework for steganography with shifted window local loss
Zhengze Li, Xiaoyuan Yang, Kangqing Shen, Fazhen Jiang, ... Yixiao Li
Task guided representation learning using compositional models for zero-shot domain adaptation
Shuang Liu, Mete Ozay
BrainS: Customized multi-core embedded multiple scale neuromorphic system
Bo Gong, Jiang Wang, Meili Lu, Gong Meng, ... Xile Wei
Stable invariant models via Koopman spectra
Takuya Konishi, Yoshinobu Kawahara
Adaptive closed-loop paradigm of electrophysiology for neuron models
Ming Yang, Jiang Wang, Shanshan Li, Kuanchuan Wang, ... Chen Liu
The Deep Learning Generative Adversarial Random Neural Network in data marketplaces: The digital creative
Will Serrano
Prediction of common labels for universal domain adaptation
Xinxin Shan, Tai Ma, Ying Wen
Modeling limit order trading with a continuous action policy for deep reinforcement learning
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Enhanced covertness class discriminative universal adversarial perturbations
Haoran Gao, Hua Zhang, Xin Zhang, Wenmin Li, ... Fei Gao
A multi-modal deep neural network for multi-class liver cancer diagnosis
Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu
Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
Jihye Moon, Hugo F. Posada-Quintero, Ki H. Chon
DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks
Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, ... David Clifton
Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target
Hanxiao Li, Biao Luo, Wei Song, Chunhua Yang
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun, Minh N.H. Nguyen, Chu Myaet Thwal, Jinwoo Choi, Choong Seon Hong
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng
A reliable anchor regenerative-based transformer model for x-small and dense objects recognition
Ponduri Vasanthi, Laavanya Mohan
TCGAN: Convolutional Generative Adversarial Network for time series classification and clustering
Fanling Huang, Yangdong Deng
Graph convolutional network with tree-guided anisotropic message passing
Ruixiang Wang, Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan
Domain-informed graph neural networks: A quantum chemistry case study
Jay Paul Morgan, Adeline Paiement, Christian Klinke
Graph structure learning layer and its graph convolution clustering application
Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, ... Baocai Yin
SNR: Symbolic network-based rectifiable learning framework for symbolic regression
Jingyi Liu, Weijun Li, Lina Yu, Min Wu, ... Yanjie Li
3D graph neural network with few-shot learning for predicting drug-drug interactions in scaffold-based cold start scenario
Qiujie Lv, Jun Zhou, Ziduo Yang, Haohuai He, Calvin Yu-Chian Chen
Reinforced mixture learning
Yuan Le, Fan Zhou, Yang Bai
Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar, Nan Liu
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach
Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu
Fixed-time synchronization for quaternion-valued memristor-based neural networks with mixed delays
Yanlin Zhang, Liqiao Yang, Kit Ian Kou, Yang Liu
Stabilization of reaction-diffusion fractional-order memristive neural networks
Ruoxia Li, Jinde Cao, Ning Li
Towards global neural network abstractions with locally-exact reconstruction
Edoardo Manino, Iury Bessa, Lucas C. Cordeiro
Decentralized ADMM with compressed and event-triggered communication
Zhen Zhang, Shaofu Yang, Wenying Xu
Collaborative neurodynamic optimization for solving nonlinear equations
Huimin Guan, Yang Liu, Kit Ian Kou, Jinde Cao, Leszek Rutkowski
Two-timescale recurrent neural networks for distributed minimax optimization
Zicong Xia, Yang Liu, Jiasen Wang, Jun Wang
H_{infinity} master-slave synchronization for delayed impulsive implicit hybrid neural networks based on memory-state feedback control
Zekun Wang, Guangming Zhuang, Xiangpeng Xie, Jianwei Xia
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning
Xiyao Liu, Zhong Ji, Yanwei Pang, Zhi Han
Approximation of classifiers by deep perceptron networks
V?ra K?rkov?, Marcello Sanguineti
De Rham compatible Deep Neural Network FEM
Marcello Longo, Joost A.A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech
Preassigned-time projective synchronization of delayed fully quaternion-valued discontinuous neural networks with parameter uncertainties
Hao Pu, Fengjun Li, Qingyun Wang, Pengzhen Li
A novel framework of prescribed time/fixed time/finite time stochastic synchronization control of neural networks and its application in image encryption
Xin Wang, Jinde Cao, Xianghui Zhou, Ying Liu, ... Jiangtao Wang
Stochastic momentum methods for non-convex learning without bounded assumptions
Yuqing Liang, Jinlan Liu, Dongpo Xu
Safe control of logical control networks with random impulses
Rongpei Zhou, Yuqian Guo, Yuhao Wang, Zejun Sun, Xinzhi Liu
Neurodynamic optimization approaches with finite/fixed-time convergence for absolute value equations
Xingxing Ju, Xinsong Yang, Gang Feng, Hangjun Che
Auditory perception architecture with spiking neural network and implementation on FPGA
Bin Deng, Yanrong Fan, Jiang Wang, Shuangming Yang
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance
Xuelong Sun, Qinbing Fu, Jigen Peng, Shigang Yue
Reachable set estimation and stochastic sampled-data exponential synchronization of Markovian jump neural networks with time-varying delays
Linqi Wang, Jianwei Xia, Ju H. Park, Guoliang Chen, Xiangpeng Xie
Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning
Wenqi Wu, Yunong Zhang
Observer-based state estimation for discrete-time semi-Markovian jump neural networks with round-robin protocol against cyber attacks
Ramalingam Sakthivel, Oh-Min Kwon, Seong-Gon Choi, Rathinasamy Sakthivel
Spatial-temporal recurrent reinforcement learning for autonomous ships
Martin Waltz, Ostap Okhrin
High speed human action recognition using a photonic reservoir computer
Enrico Picco, Piotr Antonik, Serge Massar
SiamDF: Tracking training data-free siamese tracker
Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Zhigang Luo
A continuation method for image registration based on dynamic adaptive kernel
Yuandong Ma, Boyuan Wang, Hezheng Lin, Chun Liu, ... Qing Song
Adaptive neural-network-based sliding mode control of switching distributed delay systems with Markov jump parameters
Baoping Jiang, Hamid Reza Karimi, Xin Zhang, Zhengtian Wu
Stereoscopic scalable quantum convolutional neural networks
Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim
Lightweight image de-snowing: A better trade-off between network capacity and performance
Zheng Chen, Yiwen Sun, Xiaojun Bi, Jianyu Yue
Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout
Huanhuan Li, Wenbo Yu, He Huang
GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen, Yuning Wei, Yangzhu Wang
Enhanced regularization for on-chip training using analog and temporary memory weights
Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, ... Udayan Ganguly
Motion perception based on ON/OFF channels: A survey
Qinbing Fu
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning
Tariq M. Khan, Syed S. Naqvi, Antonio Robles-Kelly, Imran Razzak
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Yanbu Guo, Dongming Zhou, Xiaoli Ruan, Jinde Cao
Mitigate forgetting in few-shot class-incremental learning using different image views
Pratik Mazumder, Pravendra Singh
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From Tobias.Rose at ukbonn.de Thu Aug 10 10:27:43 2023
From: Tobias.Rose at ukbonn.de (Rose, Prof. Tobias)
Date: Thu, 10 Aug 2023 14:27:43 +0000
Subject: Connectionists: Postdoctoral position in systems neuroscience -
freely moving optophysiology - University of Bonn,
Germany - Circuit Mechanisms of Behavior Lab
Message-ID:
Dear all,
Our research group ?Circuit Mechanisms of Behavior? at the University Hospital Bonn (lab Tobias Rose) invites applications for a full-time (38.5 hours/week) position as: Postdoctoral Researcher (m/f/d):
Detailed description:
Postdoctoral Researcher (m/f/d) - Bonn, Nordrhein-Westfalen (DE) job with Universit?tsklinikum Bonn | 12803739
nature.com
[favicon.ico]
Closing date: 31st of August 2023
Start date: flexible
Contact: Tobias Rose, Tobias.Rose at ukbonn.de
The selected candidate will investigate the "Encoding of Landmark Stability and Stability of Landmark Encoding?:
You will study visual landmark encoding at the intersection of hippocampal, thalamic, and cortical inputs to retrosplenial cortex. You will use cutting-edge miniature two-photon Ca2+ imaging (https://tinyurl.com/mini2pCA1), enabling you to longitudinally record activity in defined, large neuronal populations and long-range afferents in freely moving animals.
You will carry out rigorous neuronal and behavioral analyses within the confines of automatized closed-loop tasks tailored for visual navigation. This will involve the application of advanced tools for dense behavioral quantification, including multi-angle videography, inertial motion sensing, and egocentric recording with head-mounted cameras for the reconstruction of retinal input.
Our aim is to gain a comprehensive understanding of the immediate and sustained multi-area neuronal representation of visual landmarks during unrestricted behavior. We aim to elucidate the mechanisms through which stable visual landmarks are encoded and the processes by which these representations are stabilized to facilitate robust allocentric navigation.
Ideal candidates for this position should hold a doctorate in neuroscience, engineering, physics, or a related discipline, and should be deeply committed to rigorous neuroethology and technical development. We seek individuals with a "tinkering spirit", i.e., a strong penchant for problem-solving and creativity. Essential competencies include the demonstrated ability to design and carry out complex neuroscience experiments, robust programming capabilities, and a foundational knowledge of machine learning methodologies. Valuable experience would include a familiarity with rodent behavior, both in freely moving and head-fixed contexts. Although not mandatory, a background in visual neuroscience or navigation neuroscience would be viewed favorably.
We are looking for a driven candidate with a solid record of accomplishment who is enthusiastic about interdisciplinary research. The successful candidate will be prepared to bring their skills and experience to our innovative and collaborative research environment.
While this role is tailored towards a specific project, we are equally enthusiastic about supporting the development of your individual research pursuits.
Applicants should send their application in a single pdf file, including a cover letter explaining your research interests and motivation for joining the team, CV, and contact information for two references. Applications will be shortlisted based on the above selection criteria. Please send your formal application to Prof. Tobias Rose via email until 31.08.2023. The Expected start date is September 2023 or at the earliest possible date thereafter. Informal enquires about the post are welcome. For more information on our research, please visit www.troselab.de (mastodon: @trose_neuro at neuromatch.social, twitter: @trose_neuro).
--
Prof. Dr. Tobias Rose
Circuit Mechanisms of Behavior
Institute of Experimental Epileptology and Cognition Research
University of Bonn Medical Center
Life and Brain Center (Building 76)
Venusberg-Campus 1
53127 Bonn
Tel.: +49-228-6885 331
www.troselab.de
________________________________
Vorstand: Univ.-Prof. Dr. Dr. h.c. mult. Wolfgang Holzgreve, MBA, Vorstandsvorsitzender und ?rztlicher Direktor ? Clemens Platzk?ster, Kaufm?nnischer Direktor und Stellv. Vorstandsvorsitzender ? Univ.-Prof. Dr. Bernd Weber, Dekan der Med. Fakult?t ? Univ.-Prof. Dr. Alexandra Philipsen, Stellv. ?rztliche Direktorin ? Alexander Pr?bstl, Vorstand Pflege und Patientenservice ? Aufsichtsratsvorsitzender: Univ.-Prof. Dr. Heinz Reichmann ? Gerichtsstand Bonn ? Finanzamt Bonn Innenstadt ? USt-IdNr.: DE811917555 ? Bankverbindung: Sparkasse K?lnBonn ? BIC COLSDE33 ? IBAN DE52 3705 0198 0010 6506 61
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From info at incf.org Fri Aug 11 08:18:50 2023
From: info at incf.org (INCF)
Date: Fri, 11 Aug 2023 14:18:50 +0200
Subject: Connectionists: Late breaking abstract submission: INCF
Neuroinformatics Assembly 2023
Message-ID:
*INCF Neuroinformatics Assembly 2023*
September 18-20
Virtual
Abstract submission deadline: June 23
50% discount for INCF members
Late-breaking abstract submission is now open for INCF Neuroinformatics
Assembly 2023!
Submit your abstract: bit.ly/INCF2023abstracts
Join us for Assembly, hosted once again on the Gather platform!
Our annual Assembly is a unique venue where neuroscience researchers, tool
developers, standards developers, and infrastructure providers can meet
with potential collaborators and hear about the latest advancements in
neuroinformatics and FAIR neuroscience.
Register: bit.ly/Assembly2023reg
Learn more: bit.ly/INCF2023Assemblyblog
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From q.huys at ucl.ac.uk Fri Aug 11 09:16:15 2023
From: q.huys at ucl.ac.uk (Quentin Huys)
Date: Fri, 11 Aug 2023 14:16:15 +0100
Subject: Connectionists: postdoc in computational psychiatry at University
College London
Message-ID:
We are delighted to announce a new 2-year postdoctoral position at UCL on
Computational Modelling of Longitudinal Cognitive Function
Supervisors: Quentin Huys and Essi Viding
The aim of the position is to establish a thorough computational modelling
framework for cognitive research in mental health settings, focusing in
particular on longitudinal data, such as changes due to treatments or
longitudinally with development.
The detailed job as is here:
https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5958&nPostingTargetId=13422&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext
You should have a Ph.D. in machine learning, statistics, neuroscience,
psychology, or a quantitative field and should have a strong background in:
- Decision-making
- Reinforcement learning and / or machine learning
- Bayesian modelling
- Sampling and inference methods
Clinical experience in the field of developmental neuroscience, psychiatry or
related fields is highly desirable.
Feel free to get in touch with q.huys at ucl.ac.uk or e.viding at ucl.ac.uk with any
questions / queries.
--
Quentin Huys
Professor of Computational Psychiatry
Applied Computational Psychiatry Lab, Division of Psychiatry and Queen Square Institute of Neurology, UCL
Deputy Director, Max Planck UCL Centre for Computational Psychiatry and Ageing Research, UCL
www.acplab.org
From skoenig at usc.edu Sat Aug 12 14:37:00 2023
From: skoenig at usc.edu (Sven Koenig)
Date: Sat, 12 Aug 2023 11:37:00 -0700
Subject: Connectionists: Call for Challenge Problems Requiring AI/OR
Collaboration
In-Reply-To: <035d96c1-f77c-4d9b-5faa-33a611271a9b@usc.edu>
References: <035d96c1-f77c-4d9b-5faa-33a611271a9b@usc.edu>
Message-ID:
The CCC, in collaboration with INFORMS and ACM SIGAI, will be hosting
the final workshop of a three-part series titled, Artificial
Intelligence (AI)/Operations Research (OR), in late February or early
March 2024 to set a course for fundamental research that needs the
partnership of both disciplines. Organized by Yu Ding (Georgia Institute
of Technology), Pascal Van Hentenryck (Georgia Institute of Technology),
Sven Koenig (University of Southern California), Ramayya Krishnan
(Carnegie Mellon University), Radhika Kulkarni (INFORMS), and Phebe
Vayanos (University of Southern California), the workshop will focus on
drafting a strategic plan for increasing the AI/OR partnership and on
outlining real-world opportunities for collaboration, based on
discussions from the previous two workshops.
For this workshop, *we are requesting proposals from the AI and OR
communities for compelling and inspiring grand challenge problems of a
theoretical or applied nature that:**
*
1. *require the collaboration of AI and OR researchers and*
2. *will result in basic research on the integration of AI and OR
techniques that*
3. *align with societal needs and national priorities with potential
for real-world impact.*
We would like proposals to describe a challenge problem that will result
in the integration of AI and OR methods and articulate the AI and OR
methods needed, dataset availability (if applicable), method innovation,
evaluation criteria, path to applications, and the potential to result
in impact on societal needs and national priorities. Some questions to
consider are:
1. What are challenges that you believe will be faced to tackle this
problem, and what are the mechanisms needed to address them?
2. How can policies/mechanisms incentivize collaborations between the
two communities?
3. Why do you think the two communities need to collaborate to address
this challenge?
Challenge problems can be submitted using this form
. Submissions can be written
in paragraph or bullet point style formats. Your submission should
convincingly explain why it satisfies points 1, 2, and 3 above and how
it addresses questions 1, 2, and 3. Some high level ideas of challenges
include leveraging optimization to mitigate bias in large language
models, or using robust optimization to enhance privacy of generative
AI. The deadline for submission is September 15, 2023.
Selected submitters will be invited to participate in the third workshop
to help shape the discussion around collaboration between AI and OR
communities and researchers and to help break barriers in such
collaborations.
At the final workshop, in addition to laying out challenge problems, we
will also outline additional strategies that will help both communities
to impact national priorities, such as creating a joint summer school
where AI and OR experts provide multidisciplinary training in AI and OR
to Ph.D. students, and other ideas from the community. The objective for
the third workshop is to write a final report that lays out a blueprint
for activities that increase the collaboration between the AI and OR
communities.
To learn more about the AI/OR Workshop series, please visit the First
and Second
workshop event pages, and read the Workshop 1 Report Out
and the Workshop 2 Report Out
.
*Please remember to submit your ideas **here
**by September 15, 2023.*
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From cgf at isep.ipp.pt Sun Aug 13 06:47:45 2023
From: cgf at isep.ipp.pt (Carlos)
Date: Sun, 13 Aug 2023 11:47:45 +0100
Subject: Connectionists: Competition - Predictive Maintenance @ Xai for
Predictive Maintenance Tutorial - ECAI 2023
Message-ID:
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/kdd-xpm
Kaggle website: https://www.kaggle.com/datasets/pattinson9999/uci-metropt-3-dataset
Important dates
----------------------
? 20/09/2023: 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 madva.aparna at gmail.com Mon Aug 14 03:18:50 2023
From: madva.aparna at gmail.com (Aparna Madva)
Date: Mon, 14 Aug 2023 12:48:50 +0530
Subject: Connectionists: CFP for CIKM 2023 Workshop on Enterprise Knowledge
Graphs using Large Language Models(EKG-LLM)
Message-ID:
Dear Researchers,
Paper submissions for EKG-LLM 2023 : Workshop on Enterprise Knowledge
Graphs Using Large Language Models (
http://wsl.iiitb.ac.in/cikm-2023-workshop-on-enterprise-knowledge-graphs-using-large-language-models/
) is open.
EKG-LLM is co-located with CIKM 2023; 32nd ACM International Conference on
Information and Knowledge Management (
https://uobevents.eventsair.com/cikm2023/workshops), to be held in
University of Birmingham, Birmingham, UK from 21 to 25 October 2023.
*CALL FOR PAPERS*
Knowledge graphs can integrate diverse data sources and provide a holistic
view to the downstream applications. By virtue of being structured,
knowledge graphs offer transparency and interpretability to the search and
recommendations applications. Combining Knowledge Graphs with current-day
advances in LLMs can create several opportunities.
The EKG-LLM workshop as part of CIKM 2023, would be addressing how large
language models can help with the construction and usage of these
enterprise knowledge graphs. This involves improving all the aspects of EKG
workflow using large language models: entity extraction, entity enrichment,
EKG construction, querying EKG for search and recommendations, scenario
specific EKG, etc. Through this workshop we would like to highlight
research issues specific to the integration of the enterprise knowledge
graphs with large language models and associated applications.
Topics of interest include but are not limited to, the following:
- Designing Enterprise Knowledge Graph (EKG)
- EKG Implementation
- Scalable extraction of enterprise entities using LLMs
- Building EKGs for specific domains or applications
- Natural Language Processing (NLP) algorithms to build EKGs.
- Relationship extraction using large language models
- Federated graph learning with LLMs
- Privacy in graph algorithms
- Privacy preserving graph construction and mining
- Semantic reasoning based on deep learning on graph
- Industrial applications of EKGs: banking, financing, retail,
healthcare, medicine, etc.
- Explainable AI based on EKG
- Use of EKG and LLMs for search and recommendations
Submission link : https://easychair.org/conferences/?conf=ekgllm2023
*IMPORTANT DATES*
Abstract Submission : September 3, 2023
Paper submission : September 10, 2023
Notification of paper acceptance : September 25, 2023
Camera Ready paper submission : October 1, 2023
*SUBMISSIONS*
Submissions should be made to the EKG-LLM 2023 EasyChair site (
https://easychair.org/conferences/?conf=ekgllm2023
). CEUR style
guidelines (https://ceur-ws.org/Vol-XXX/) should be followed. Submissions
should be in PDF format with 6 pages of content, plus references.
Accepted papers will be published as a part of CEUR Workshop proceedings
.
Best Regards
Aparna Madva
MS by Research Scholar,
Web Science Lab, IIIT Bangalore
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From hocine.cherifi at gmail.com Mon Aug 14 05:10:34 2023
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Mon, 14 Aug 2023 11:10:34 +0200
Subject: Connectionists: Submit Your Research to COMPLEX NETWORKS 2023 -
Deadline Approaching!
Message-ID:
Dear
The 12th International Conference on Complex Networks & Their
Applications (COMPLEX
NETWORKS 2023 ) will be held in Menton
Riviera, France, from November 28 to 30, 2023.
COMPLEX NETWORKS is a premier platform for researchers, scholars, and
practitioners to share their latest advancements in Network Science,
Computational Social Science, and Graph Machine Learning. With distinguished
speakers worldwide and a
wide range of topics covered, it's an excellent opportunity to showcase
your research and connect with fellow experts.
*Important Details:*
? Submission Deadline: September 02, 2023
? Submission Portal: https://complexnetworks.org/submission/
? Topics: Social Networks, Epidemics, Network Mining, Dynamics, and
more. View the complete list here .
*Publication Opportunities:*
? Full papers will be included in the Springer proceedings (12 pages)
? Extended abstracts will be included in the Book of Abstracts ( 2 to
4 pages).
? Extended versions of selected papers will be considered for
publication in prestigious international journals (Plos One, Applied
Network Science, Social Networks Analysis & Mining, etc). View the complete
list here.
Don't miss this chance to contribute to the forefront of network research
and be a part of COMPLEX NETWORKS 2023.
For more details, please visit the conference website:
https://complexnetworks.org
We look forward to your valuable contribution.
Best regards,
Hocine Cherifi
Co-General Chair
Join us at COMPLEX NETWORKS 2023
*-------------------------*
Hocine CHERIFI
University of Burgundy Franche-Comt?
Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS
Editor in Chief Applied Network Science
Plos Complex Systems
Editorial Board member PLOS One , IEEE
ACCESS ,
Scientific
Reports ,
Journal of Imaging , Quality and
Quantity , Computational Social
Networks ,
Complex Systems
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From jorgecbalmeida at gmail.com Mon Aug 14 12:42:45 2023
From: jorgecbalmeida at gmail.com (Jorge Almeida)
Date: Mon, 14 Aug 2023 17:42:45 +0100
Subject: Connectionists: =?utf-8?q?2_tenure-track_Faculty_positions_*now_o?=
=?utf-8?q?pen*_in_Cognitive_Science/Neuroscience_at_the_Faculty_of?=
=?utf-8?q?_Psychology_=E2=80=93_University_of_Coimbra=2C_Portugal_?=
=?utf-8?q?=E2=80=93_co-funded_by_the_ERA_Chair_project_CogBooster_?=
=?utf-8?q?led_by_Dr=2E_Alfonso_Caramazza?=
Message-ID:
Apologies for cross-posting.
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 yaser.amd at gmail.com Mon Aug 14 22:11:06 2023
From: yaser.amd at gmail.com (Yaser Jararweh)
Date: Tue, 15 Aug 2023 05:11:06 +0300
Subject: Connectionists: CBDCom 2023 Final Deadline:The 9th IEEE
International Conference on Cloud and Big Data Computing, 14-17 Nov,
2023 - Abu Dhabi, UAE
Message-ID:
The 9th IEEE International Conference on Cloud and Big Data Computing
(CBDCom 2023)
https://icnetlab.org/cyber-science2023/cbdcom/index.html
IEEE Co-Sponsored Conference
14-17 Nov, 2023 - Abu Dhabi, UAE
*CBDCom CFP:*
The IEEE International Conference on Cloud and Big Data Computing is a
premier forum for researchers, practitioners and developers who are
interested in cloud computing and big data to explore new ideas, techniques
and tools, as well as to exchange experience. Besides the latest research
achievements, the conference covers also innovative commercial data
management systems, innovative commercial applications of cloud computing
and big data technology, and experience in applying recent research
advances to real-world problems
IEEE CBDCom 2023 will be the 9th edition of the conference after the
success of CBDCom 2015 in Beijing, CBDCom 2016 in Toulouse, CBDCom 2017 in
San Francisco, CBDCom 2018 in Guangzhou, CDBCom 2019 in Fukuoka, CDBCom
2020 in Calgary, and CDBCom 2021 held virtually. It will continuously offer
a platform for researchers to exchange novel studies, discuss important
issues and explore key challenges in innovative cloud and big data for a
smarter world. IEEE CBDCom 2023 will be held during November 13-17, 2023,
co-located with IEEE CyberSciTech 2023, IEEE PICom 2023, and IEEE DASC
2023. It aims to bring together computer scientists, engineers and
researchers from academia and industry to discuss and exchange experimental
and theoretical results, work-in-progress, novel designs, and future trends
in cloud and big data innovations.
*CBDCom Tracks:*
*Track 1: Data Science & Analytics*
*Track 2: Big Data Infrastructure & Management *
*Track 3: Big Data Tools and Applications *
*Track 4: Cloud Management & Virtualization *
*Track 5: Cloud/Big Data Security, Privacy & Trust *
*Track 6: Cloud/Big Data for IoT & Smart City *
*Paper Submission Information:*
*For original papers in: *
Regular Tracks: *6-8 *pages
WiP/Workshop/Special Session Tracks: *4-6 *pages
Poster Track: *2-4 *pages
Authors are invited to submit their original research work that has not
previously been submitted or published in any other venue. Regular,
work-in-progress (WiP), workshop/special session, and poster papers need to
be submitted via Easychair (
https://easychair.org/conferences/?conf=dascpicomcbdcomcyber0).
Papers should be prepared in IEEE CS Proceedings format. IEEE formatting
information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
All accepted papers in the main tracks, workshops, special sessions and
demos/posters will be published in an IEEE Computer Society proceedings
(IEEE-DL and EI indexed). Best Paper Awards will be presented to high
quality papers. Selected papers will be recommended to prestigious
journal *Special
Issues *.
Some papers originally submitted as full papers can be accepted as short
papers or posters during the review process. In such cases, the authors
will need to reduce the paper accordingly when preparing the camera-ready
version. At least one of the authors of any accepted paper is requested to
register and present the paper at the conference.
*Important dates*
*Main Conference Papers *
*Paper Submission Due: 21 August, 2023 (Final and Firm) *
Authors Notification: 15 September, 2023
Camera-ready Submission: 30 September, 2023
*Workshop/Special Session Papers *
*Paper Submission Due: 21 August, 2023 (Final and Firm) *
Author Notification Due: September 15, 2023
Camera-ready Submission: September 30, 2023
*Contacts Information:*
If you have any questions about CBDCom, please contacts the Chairs, Feras
Awaysheh (feras.awaysheh at ut.ee) and Yaser Jararweh (yijararweh at just.edu.jo)
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From jncor at dei.uc.pt Mon Aug 14 18:19:35 2023
From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=)
Date: Mon, 14 Aug 2023 23:19:35 +0100
Subject: Connectionists: The 2nd CfP Evostar 2024 - The Leading European
Event on Bio-Inspired Computation - 3-5 April 2024
Message-ID:
Dear Colleague(s),
Below you will find the second call for papers for EvoStar 2024.
Feel free to distribute and thank you for your time.
Best regards,
Jo?o Correia
EvoStar Publicity Chair
----------------------------------------------------------------------
Call for papers for the EvoStar 2024 conference
http://www.evostar.org/2024/
Submission Deadline: November 1, 2023
Conference: 3 to 5 April 2024.
Venue: Aberystwyth, Wales, United Kingdom
News:
** EvoApps Special Sessions:
EvoApplications invites you to submit a special session proposal for its
27th edition.
Deadline: 8 September 2023 AoE.
https://www.evostar.org/2024/evoapps/
** 3rd edition of the special joint track on Evolutionary Machine learning
This joint track, evoapps + eurogp, on Evolutionary Machine Learning (EML)
will provide a specialised forum for discussion and exchange of information
for researchers interested in exploring approaches that combine nature and
nurture with the long-term goal of evolving Artificial Intelligence (AI)
https://www.evostar.org/2024/eml/
Please distribute
(Apologies for cross-posting)
------------------------------------------------
EvoStar comprises four co-located conferences run each spring at different
locations throughout Europe. These events arose out of workshops originally
developed by EvoNet, the Network of Excellence in Evolutionary Computing,
established by the Information Societies Technology Programme of the
European Commission, and they represent a continuity of research
collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of
Evolutionary Computation in Europe and its Surroundings. This non-profit
academic society is committed to promoting evolutionary algorithmic
thinking, with the inspiration of parallel algorithms derived from natural
processes. It provides a forum for information and exchange.
The four conferences include:
- EuroGP 27th European Conference on Genetic Programming
http://www.evostar.org/2024/eurogp/
- EvoApplications 27th European Conference on the Applications of
Evolutionary and bio-inspired Computation
http://www.evostar.org/2024/evoapps/
- EvoCOP 24th European Conference on Evolutionary Computation in
Combinatorial Optimisation
http://www.evostar.org/2024/evocop/
- EvoMUSART 13th International Conference (and 17th European event) on
Artificial Intelligence in Music, Sound, Art and Design.
http://www.evostar.org/2024/evomusart/
*** Important Dates, Venue and Publication ***
Submission Deadline: November 1, 2023
Conference: 3 to 5 April 2024.
Venue: Aberystwyth, Wales, United Kingdom
All accepted papers will be printed in the proceedings published by
Springer Nature in the Lecture Notes in Computer Science (LNCS) series.
Please check the website for more information:
http://www.evostar.org/2024/
And follow us at:
Facebook - https://www.facebook.com/evostarconf/
Twitter - https://twitter.com/EvostarConf/
Instagram - https://www.instagram.com/evostarconference/
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From serendipity.alvin at gmail.com Wed Aug 16 06:12:09 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Wed, 16 Aug 2023 18:12:09 +0800
Subject: Connectionists: CFP: [Electronics,
Journal of Cybersecurity and Privacy, Mathematics, Remote Sensing,
Sustainability] Topic on Recent Advances in Security, Privacy, and Trust
Message-ID:
Dear Colleagues,
CFP: [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, Launched Year 2021
- Mathematics, SCIE, IF=2.4
- Remote Sensing, SCIE, IF=5.0
- Sustainability, SCIE and SSCI, IF=3.9
==================
Topics
==================
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
==================
- Dr. Jun Feng, Email: junfeng at hust.edu.cn
Website: http://faculty.hust.edu.cn/fengjun6/en/
- Dr. Changqing Luo, Email: cluo at vcu.edu
Website: http://www.people.vcu.edu/~cluo/
- Dr. Mamoun Alazab, Email: mamoun.alazab at cdu.edu.au
Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab
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From samuel.kaski at manchester.ac.uk Wed Aug 16 15:07:07 2023
From: samuel.kaski at manchester.ac.uk (Samuel Kaski)
Date: Wed, 16 Aug 2023 19:07:07 +0000
Subject: Connectionists: Postdoc and Research Fellow positions in Machine
Learning, Centre for AI Fundamentals, Manchester, UK
Message-ID:
Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK
More details:
Postdocs: https://www.jobs.manchester.ac.uk/internal/Job/JobDetail?JobId=26317
Research Fellows: https://www.jobs.manchester.ac.uk/internal/Job/JobDetail?JobId=26320
Closing date: September 2, 2023
Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference.
These positions are to my team ? get in touch to discuss more, and Cc angel.harper at manchester.ac.uk . I will also have PhD positions open again very soon ? stay tuned!
More background:
The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS, in the new ELLIS Unit Manchester. The university?s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently launched a Centre for AI Fundamentals and has already recruited four new academics to it. These two lectureships continue this series of positions in establishing the new Centre.
More information: https://www.ai-fun.manchester.ac.uk (the rudimentary page will get more content when we have time!)
--
Samuel Kaski, Professor, University of Manchester and Aalto University
Turing AI Fellow, ELLIS Fellow
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From sara.magliacane at gmail.com Wed Aug 16 15:41:56 2023
From: sara.magliacane at gmail.com (Sara Magliacane)
Date: Wed, 16 Aug 2023 21:41:56 +0200
Subject: Connectionists: [CFP] NeurIPS workshop on Causal Representation
learning - deadline extended to Oct 2
Message-ID:
We warmly invite you to submit a paper and participate in our Causal
Representation Learning workshop (https://crl-workshop.github.io/) that
will be held *December 15, 2023* at NeurIPS 2023, New Orleans, USA.
Causal Representation Learning is an exciting intersection of machine
learning and causality that aims at learning low-dimensional, high-level
causal variables along with their causal relations directly from raw,
unstructured data, e.g. images.
Our submission deadline has been extended to *October 2, 2023, 23:59 AoE* and
the submission link is
https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/CRL. More
information below.
***MOTIVATION AND TOPICS***
Current machine learning systems have rapidly increased in performance by
leveraging ever-larger models and datasets. Despite astonishing abilities
and impressive demos, these models fundamentally *only learn from
statistical **correlations* and struggle at tasks such as *domain
generalisation, adversarial examples, or planning*, which require
higher-order cognition. This sole reliance on capturing correlations sits
at the core of current debates about making AI systems "truly'' understand.
One promising and so far underexplored approach for obtaining visual
systems that can go *beyond correlations* is integrating ideas from
causality into representation learning.
Causal inference aims to reason about the effect of interventions or
external manipulations on a system, as well as about hypothetical
counterfactual scenarios. Similar to classic approaches to AI, it typically
assumes that the causal variables of interest are given from the outset.
However, real-world data often comprises high-dimensional, low-level
observations (e.g., RGB pixels in a video) and is thus usually not
structured into such meaningful causal units.
To this end, the emerging field of causal representation learning (CRL)
combines the strengths of ML and causality. In CRL we aim at learning
low-dimensional, high-level causal variables along with their causal
relations directly from raw, unstructured data, leading to representations
that support notions such as causal factors, interventions, reasoning, and
planning. In this sense, CRL aligns with the general goal of modern ML to
learn meaningful representations of data that are more robust, explainable,
and performant, and in our workshop we want to catalyze research in this
direction.
This workshop brings together researchers from the emerging CRL community,
as well as from the more classical causality and representation learning
communities, who are interested in learning causal, robust, interpretable
and transferrable representations. Our goal is to foster discussion and
cross-fertilization between causality, representation learning and other
fields, as well as to engage the community in identifying application
domains for this emerging new field. In order to encourage discussions, we
will welcome submissions related to any aspect of CRL, including but not
limited to:
-
Causal representation learning, including self-supervised, multi-modal
or multi-environment CRL, either in time series or in an atemporal
setting, observational or interventional,
-
Causality-inspired representation learning, including learning
representations that are only *approximately* causal, but still useful
in terms of generalization or transfer learning,
-
Abstractions of causal models or in general multi-level causal systems,
-
Connecting CRL with system identification, learning differential
equations from data or sequences of images, or in general connections to
dynamical systems,
-
Theoretical works on identifiability in representation learning broadly,
-
Real-world applications of CRL, e.g. in biology, healthcare, (medical)
imaging or robotics; including new benchmarks or datasets, or addressing
the gap from theory to practice.
***IMPORTANT DATES***
Paper submission deadline: September 29 *October 2, 2023 23:59 AoE *
Notification to authors: October 27, 2023, 23:59 AoE
Camera-ready version and videos: December 1, 2023, 23:59 AoE
Workshop Date: December 15 or 16, 2023 at NeurIPS
***SUBMISSION INSTRUCTIONS***
As for all NeurIPS workshops, submissions should contain original and
previously unpublished research and they should be formatted using the
NeurIPS latex style. Papers should be submitted as a PDF file and should be
maximum 6 pages in length, including all main results, figures, and tables.
Appendices containing additional details are allowed, but reviewers are not
expected to take this into account.
The workshop will not have proceedings (or in other words, it will not be
archival), which means you can submit the same or extended work as a
publication to other venues after the workshop. This means we also accept
(shortened versions of) submissions to other venues, as long as they are
not published before the workshop date in December.
Submission site: https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/
CRL
***ORGANIZERS***
Sara Magliacane, University of Amsterdam and MIT-IBM Watson AI Lab
Atalanti Mastakouri, Amazon
Yuki Asano, University of Amsterdam and Qualcomm Research
Claudia Shi, Columbia University and FAR AI
Cian Eastwood, University of Edinburgh and Max Planck Institute T?bingen
S?bastien Lachapelle, Mila and Samsung?s SAIT AI Lab (SAIL)
Bernhard Sch?lkopf, Max Planck Institute T?bingen
Caroline Uhler, MIT and Broad Institute
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From krallinger.martin at gmail.com Fri Aug 18 11:29:52 2023
From: krallinger.martin at gmail.com (Martin Krallinger)
Date: Fri, 18 Aug 2023 17:29:52 +0200
Subject: Connectionists: CFP SYMPTEMIST (BioCreative VIII @ AMIA 2023):
Named entity recognition & linking of symptoms (incl. multilingual dataset)
Message-ID:
(Apologies for cross-posting)
CFP: SYMPTEMIST Shared Task (BioCreative VIII run with AMIA 2023)
Named entity recognition and linking of symptoms, signs & findings (incl.
multilingual dataset)
https://temu.bsc.es/SYMPTEMIST/
The SYMPTEMIST track focuses on the automatic detection of mentions of
clinical 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
-
Annotation Guidelines: August 8th 2023
-
Train Set Subtask 1 (NER): August 8th, 2023
-
Train Set Subtask 2 (Linking): September 10th 2023
-
Train Set Subtask 3 (Multilingual): September 10th 2023
-
SympTEMIST Test Set: 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 30 2023
-
Submission of Camera-ready Participant Papers Deadline. November 1st 2023
-
BioCreative VIII workshop @ AMIA 2023: November 11-15, 2023, In New
Orleans, LA.
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 allenta2 at upmc.edu Fri Aug 18 15:50:25 2023
From: allenta2 at upmc.edu (Allen, Timothy)
Date: Fri, 18 Aug 2023 19:50:25 +0000
Subject: Connectionists: Scientific Programmer Opening at the University of
Pittsburgh
Message-ID:
Dear colleagues,
Our lab at the University of Pittsburgh is currently seeking qualified candidates for a Scientific Programmer position. I have included the job posting below. Please feel free to circulate this ad to any interested candidates. Apologies for any cross-postings.
-Tim Allen
Title: Scientific Programmer, Decision Neuroscience and Psychopathology Lab, University of Pittsburgh
PIs: Timothy Allen & Alex Dombrovski
www.dnpl.pitt.edu
Description / Summary of the Position
We are seeking a full-time scientific programmer to start in the fall of 2023 (start date is flexible). The programmer will be responsible for establishing and maintaining preprocessing and analysis pipelines for several NIH-funded studies focusing on how learning and decision-making processes relate to structural models of psychopathology. In addition to establishing and maintaining analytic infrastructure, the candidate will be responsible for overseeing the integration of psychophysiological, neuroimaging, and RedCAP data streams, and will be involved in the development and piloting of novel experimental paradigms. The candidate will also play a key role in training research staff in using programmatic tools. The programmer will also have opportunities to facilitate experimental paradigm implementation, data collection, data analysis, manuscript preparation, and grant submissions. This position will be jointly supervised by Drs. Allen and Dombrovski, and the programmer will work closely with our existing data team. The position will also involve collaboration with other study team members including clinicians, study coordinators and research assistants, and post-doctoral scholars.
Education and Desired Skills
M.A. in Computer Science, Neuroscience, Computational Biology, Complex Systems, Applied Math, or Psychology with a strong quantitative and programmatic emphasis, or related field by time of appointment. Alternatively, a BA/BS in one these fields plus 3+ years of professional experience in a programming role.
The following skills and/or knowledge are preferred: strong programming skills, knowledge of shell scripting, Python, R, and MATLAB, experience with neuroimaging research methods and software including FSL, AFNI, and/or SPM, knowledge of statistical analyses, and experience with psychophysiological data.
To Apply
This is a 1-year position that can be extended to subsequent years based on the candidate?s interest level and productivity. To apply, please submit a CV, cover letter that describes the candidate?s interest in the lab and this position, and a code sample to Christopher Damerau at damerau at pitt.edu.
Review of applications will begin immediately and will continue until the positions have been filled. We are an equal opportunity employer and all qualified participants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristics protected by law.
Please visit the lab website at www.dnpl.pitt.edu for additional information.
---
Timothy A. Allen, PhD
Assistant Professor of Psychiatry
University of Pittsburgh
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From chhavi at nyu.edu Sat Aug 19 10:25:29 2023
From: chhavi at nyu.edu (Chhavi Yadav)
Date: Sat, 19 Aug 2023 10:25:29 -0400
Subject: Connectionists: =?utf-8?q?Announcing_the_=E2=80=9CXAI_in_Action_?=
=?utf-8?q?=3A_Past=2C_Present=2C_and_Future_Applications=E2=80=9D_?=
=?utf-8?q?workshop_at_NeurIPS_2023?=
Message-ID:
Dear all,
We are happy to announce our workshop ?XAI in Action : Past, Present, and
Future Applications? is coming to NeurIPS 2023! The workshop brings
together domain experts and researchers to facilitate discussions and forge
collaborations on the opportunities and constraints of XAI and its impact
across different domains.
As AI models continue to advance in complexity and sophistication,
understanding how they work and make decisions is becoming increasingly
challenging. This challenge has prompted a surge of research into
developing methods and tools that can enhance the transparency and
explainability of these models. Nowadays, there are many such methods
available, to the point that their specific applications have become
somewhat unclear.
This workshop will specifically explore the diverse applications of
explainable artificial intelligence (XAI) methods in various areas. The
areas will include, but not limited to, XAI in Healthcare, Natural Science,
Auditing, Fairness, Natural Language Processing and Law. By examining the
use of XAI in these fields, the workshop will provide attendees with
insights into the latest trends and challenges within the different domains.
Topics covered (but not limited to)
-
Examine various applications of XAI from the past and present
-
Discuss potential applications of XAI in the future
-
Identify the obstacles that hinder progress in each use case and how can
we overcome them
-
Explore the necessary methodological requirements for applying XAI
-
Identify new domains where XAI can be useful in the future
-
Understand the inherent limitations of XAI
-
Explore whether insights gained from one use case can be transferred to
other use cases
When? The workshop will take place on 16 December 2023
Deadline for submissions? 22 September 2023 AoE
Where? New Orleans, USA
Who? We have a set of distinguished speakers and panelists, including Kush
Varshney, Sameer Singh, Julius Adebayo , Ulrike
Luxburg , Leilani Gilpin
Where can I find out more? At our website:
https://xai-in-action.github.io/
Interested in submitting your work?
We invite submissions in two tracks.
Full paper track: In this track, we invite papers up to 6 pages with
unlimited references and supplementary materials.
Demo track: In this track, we invite papers up to 4 pages that demonstrate
software libraries, XAI-related frameworks, visualization tools, or
applications of machine learning that involve a major XAI component.
Accepted demos will present live demonstrations during the poster session.
We encourage submissions that incorporate interpretability or explainable
AI, particularly those that focus on real-world applications. Check
out our call
for papers for further details.
If you are interested in reviewing, sign up here
.
For updates follow : @XAI_in_Action
Further Questions? Reach out to us at appliedxai.neurips2023 at gmail.com
Feel free to reach out if you have any questions & see you at the workshop!
Thank you,
Chhavi Yadav, Michal Moshkovitz, Nave Frost, Suraj Srinivas, Valentyn
Boreiko, Bingqing Chen, Kamalika Chaudhuri, Himabindu Lakkaraju, Zico Kolter,
Dotan Di Castro
ReplyForward
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From mklados at gmail.com Sun Aug 20 02:26:46 2023
From: mklados at gmail.com (Dr. Manousos Klados)
Date: Sun, 20 Aug 2023 09:26:46 +0300
Subject: Connectionists: [CFP] on "Brain Graphs and Network Neuroscience"
Message-ID:
Dear colleagues,
I am pleased to announce a Call for Papers for a special issue on "Brain
Graphs and Network Neuroscience" to be published in Brain
Organoids and System Neuroscience
journal.
This special issue aims to explore the fascinating field of brain networks
and their implications for health and disease, shedding light on the
intricate connections that shape our cognition as the brain's complex
functioning.
Understanding the brain as a network has revolutionized the field of
neuroscience, providing novel insights into brain structure, function, and
dynamics. Network neuroscience investigates the organization,
communication, and integration of neural elements, emphasizing the
interconnectedness of brain regions and their role in cognition, behaviour,
and disease.
We invite researchers, academics, and experts in the field to contribute
their original research papers, reviews, and perspectives to this special
issue. We encourage submissions covering a broad range of topics, including
but not limited to:
- Network analysis techniques for brain connectivity
- Brain networks and cognitive processes
- Network dynamics and brain plasticity
- Functional and structural connectivity in neurological and psychiatric
disorders
- Network-based biomarkers and diagnostic tools
- Brain network modeling and simulation
- Multimodal imaging and network integration
- Developmental and aging aspects of brain networks
- Large-scale data analysis and computational approaches in network
neuroscience
- Translational applications of network neuroscience research.
*Manuscript submission information:*
Papers should be formatted according to the guidelines
provided
by Brain Organoid and System Neuroscience Journal.
https://www.elsevier.com/journals/brain-organoid-and-systems-neuroscience-journal/2949-9216/guide-for-authors
Manuscripts will undergo a rigorous peer-review process to ensure high
scientific standards and relevance to the special issue.
To submit your manuscript
, please visit the
Brain Organoid and System Neuroscience Journal website (
https://www.editorialmanager.com/bosn/default2.aspx) and select the special
issue "VS: Brain Networks and Network Neuroscience" during the submission
process. A fast review process is guaranteed.
*Why publish in this Special Issue?*
- Special Issue articles are published together on ScienceDirect, making
it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as
often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24
months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than
two independent experts to ensure the quality, originality and novelty of
the work published.
For any inquiries regarding this special issue, please contact me.
Kind Regards
Manousos Klados
*Dr. Manousos Klados*, MSc, PhD. PGCert. FHEA, FIMA
Associate Professor in Psychology
Director of MSc/MA in Cognitive/Clinical Neuropsychology
Editor in Chief of Brain Organoid and System Neuroscience Journal
_______________________________________________
*Department of Psychology, University of York Europe Campus, CITY College*
24 Pr. Koromila st., 546 22, Thessaloniki, Greece
Tel.: (+30) 2310 224 421 (ext 116), 224521 Fax: (+30) 2310 269 095
Personal website: www.mklados.com
Twitter: https://twitter.com/mklados
LinkedIn: https://www.linkedin.com/in/mklados
Institutional website: www.citycollege.sheffield.eu
--
Email Disclaimer
The content in this e-mail and any attachments is
confidential. It is intended solely for the attention and use of the named
addressee(s). If you are not the intended recipient, or person responsible
for delivering this information to the intended recipient, please notify
the sender immediately and delete this e-mail and any attachments from any
computer storage or other medium. Unless you are the intended recipient or
his/her representative you are not authorized to, and must not, read, copy,
distribute, use or retain this message or any part of it. E-mail
transmission cannot be guaranteed to be secure or error-free. Any views or
opinions presented are solely those of the author and do not necessarily
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From ali at ifi.uio.no Sun Aug 20 15:56:05 2023
From: ali at ifi.uio.no (Ali Ramezani-Kebrya)
Date: Sun, 20 Aug 2023 19:56:05 +0000
Subject: Connectionists: 7th Northern Lights Deep Learning Conference (NLDL)
Message-ID: <3D40E938-D304-4B6B-B22D-8333D205B903@uio.no>
Please join the 7th Northern Lights Deep Learning Conference (NLDL) on 9-11 January 2024 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group.
We look forward to gathering the deep learning community again in the cool arctic air for a physical conference.
In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts on Jan 8, ends on Jan 12, and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferable skills. Speakers include Mihaela van der Schaar, Gitta Kutyniok, and Rogelio Andrade Mancisidor. More information is available at http://www.nldl.org/winter-school.
We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following:
* General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
* General Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
* Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
* Probabilistic methods (Bayesian methods, variational inference, graphical models, etc.)
* Social and economic aspects of Machine Learning (accountability, causality, fairness, privacy, robustness, interpretability, etc.)
* Applications (vision, language, signals, speech and audio, etc.)
* Deep Learning for Sciences (biology and medicine, environment and ecology, physics, etc.)
As always, we are happy to have top international speakers. This year:
* Mark Girolami - University of Cambridge & the Alan Turing Institute
* Narges Razavian ? New York University
* Mathilde Caron ? Google Research
* Aasa Feragen ? Technical University of Denmark
We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind.
Submission website: https://openreview.net/group?id=NLDL.org/2024
Deadline for both types of submissions: September 1st, 2023.
Instructions on template etc. can be found on https://www.nldl.org/call-for-papers.
A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events.
We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights.
We thank our sponsors: G-Research, Kongsberg Satellite Services, Norwegian Computing Center, and DIPS AS.
Kind regards,
Ad?n Ram?rez Rivera, Ali Ramezani-Kebrya, Benjamin Ricaud, Ahcene Boubekki, Kristoffer Wickstr?m, Sigurd L?kse
The NLDL 2024 program committee
nldl.conf at gmail.com
http://visual-intelligence.no
http://machine-learning.uit.no
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From julia.verhoef at donders.ru.nl Mon Aug 21 05:28:36 2023
From: julia.verhoef at donders.ru.nl (Verhoef, J.P. (Julia))
Date: Mon, 21 Aug 2023 09:28:36 +0000
Subject: Connectionists: HIGHLIGHTS IN THE LANGUAGE SCIENCES CONFERENCE 2024
In-Reply-To:
References:
Message-ID:
Dear all,
We would like to draw your attention to the following:
HIGHLIGHTS IN THE LANGUAGE SCIENCES CONFERENCE 2024
The Language in Interaction Consortium (LiI) is pleased to announce the Highlights in the Language Sciences Conference 2024, celebrating the conclusion of our 10-year Gravitation Programme and the advances made in language-related disciplines including genetics, neuroscience, psychology, linguistics and computational modeling.
The conference will take place 8-11 July 2024 at the Radboud University in Nijmegen. We are putting together an exciting programme with top-level key experts in the relevant fields of research. Confirmed speakers include David Poeppel (NYU, Strungmann Institute, Frankfurt), Ghislaine Dehaene-Lambertz (CNRS Paris), Vera Demberg (Universit?t des Saarlandes), Uri Hasson (Universiy of Princeton), Barbara Kaup (University T?bingen), Tal Linzen (NYU).
Registration and attendance of the conference is free of charge, and will open in October 2023. Abstract submission for the poster session will open in October as well. Further details will be announced on our website: www.languageininteraction.nl.
Language in Interaction is a consortium of researchers at Dutch universities and research institutes (including the Institute for Logic, Language and Computation, (UvA); the Max Planck Institute for Psycholinguistics; the Donders Institute for Brain, Cognition and Behaviour; among others). The LiI consortium has acquired substantial experience in addressing a series of Big Questions (BQs) in language-related disciplines, uniquely combining diverse fields, including genetics, neuroscience, psychology, linguistics and computational modeling (as summarized in the consortium book: Hagoort (Ed.), Human Language: from genes and brains to behavior, MIT Press, 2019).
Julia Verhoef
______________________
Management Assistant - Language in Interaction consortium
Radboud University |PO Box 9104, 6500 HE Nijmegen, the Netherlands |Tel: +31 6 54330080| julia.verhoef at donders.ru.nl|www.ru.nl|Available Mo-Fri 9.00 - 14.00 hrs.
This message (and any attachments) is intended solely for the addressee(s) and may contain confidential information. If you are not the addressee, do not copy this message (and any attachments), forward or share this message with third parties. You are requested to notify the sender immediately and delete this message.
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From sebastian.otte at uni-luebeck.de Mon Aug 21 07:16:25 2023
From: sebastian.otte at uni-luebeck.de (Sebastian Otte)
Date: Mon, 21 Aug 2023 13:16:25 +0200
Subject: Connectionists: =?utf-8?q?Assistant_Professorship_=28Juniorprofes?=
=?utf-8?q?sur=29_Tenure_Track_W2_for_Robotics_at_the_University_of_L?=
=?utf-8?b?w7xiZWNr?=
Message-ID: <865b56ff-7c91-c704-eeb0-69ff8c3bb76f@uni-luebeck.de>
The Institute of Robotics and Cognitive Systems (Section of Computer
Science/Technology) at the University of Lu?beck has a vacancy for an
Assistant Professorship (Juniorprofessur) Tenure Track W2 for Robotics
for an initial period of three years with an option to extend for a
further three years. According to ?3 of the rules of procedure for
junior professorships at the University of Lu?beck, there is the
possibility of appointment to a tenured position (W2) at the end of the
six-year period, provided that the requirements under civil service law
and higher education law are met. Please take ?64 of the Higher
Education Act of the State of Schleswig-Holstein into account.
The future holder of the position should represent the field of robotics
in research and teaching. Furthermore, the holder of the professorship
shall establish their own working group at the Institute of Robotics and
Cognitive Systems (www.rob.uni-luebeck.de). The future holder of the
position should have a very good doctorate and demonstrable scientific
experience in one or more of the following research areas:
- Modelling, simulation, and control of robots
- Robot kinematics and dynamics
- Robot sensor technology, e.g., force and moment sensor technology
- Robotic systems, e.g., telerobotic systems, humanoid robots, etc.
- Soft robotics and continuum robotics
- AI and machine learning methods in robotics
- Human-robot collaboration and safe autonomous robot systems
- AR/VR in robotics
- Applications of AI and robotics in medicine
We expect a willingness to collaborate with medical engineering research
programmes (e.g., KI SIGS, KI Med O?kosystem, etc.) of the University.
The range of tasks also includes the acquisition of third-party funds
and the assumption of project management. The applicant is expected to
be scientifically involved in the research focus areas of the institute
and the profile areas of the university, especially in the context of
projects acquired by the institute itself (public funding, industrial
cooperations, etc.). The position holder is expected to be willing to
cooperate with the ?Lu?beck Innovation Hub for Robotic Surgery? (LIROS),
the "Center for Doctoral Studies Lu?beck" and the "Open Lab for Robotics
and Imaging in Industry and Medicine" (OLRIM).
In teaching, participation in the degree programme "Robotics and
Autonomous Systems" (German-language Bachelor?s, English-language
Master?s) as well as the other degree programmes of the university?s
STEM sections is expected.
The University strives to increase the number of female professors and
therefore strongly encourages suitably qualified women to apply. Women
are given priority in cases of equal aptitude, ability, and professional
performance.
The university is committed to the employment of severely disabled
people. Therefore, severely disabled applicants will be given
preferential consideration if they are suitable. We expressly welcome
applications from people with a migration background.
We expressly refrain from requesting photographs/application photos and
therefore ask you to refrain from doing so. You will find the required
templates and further information on the application process in the
application instructions at:
https://www.uni-luebeck.de/structure/sektionen/geschaeftsstelle-mint/berufungsverfahren-stellen.html
Applications with the usual documents, including curriculum vitae,
copies of certificates, scientific career, list of publications
(separated into peer-reviewed original papers and review articles),
three selected offprints as well as a list of acquired third-party funds
should be sent by 15.10.2023, preferably as an electronic application
(one single PDF file), to
petra.niehoff(at)uni-luebeck.de.
The application presentations are expected to take place on
28.11./29.11.2023.
An additional postal application can be sent to:
Pra?sidentin der Universita?t zu Lu?beck
Prof. Dr. med. Gabriele Gillessen-Kaesbach
Gescha?ftsstelle Berufungen-Bereich MINT
z.Hd. Frau Petra Niehoff
Ratzeburger Allee 160, Haus 1, 23562 Lu?beck
GDPR information:
https://www.uni-luebeck.de/universitaet/datenschutz/datenschutz-information-bewerberinnen.html
From ai at okipublishing.com Mon Aug 21 11:41:40 2023
From: ai at okipublishing.com (AI Systems)
Date: Mon, 21 Aug 2023 15:41:40 +0000
Subject: Connectionists: Abstracts Ext August 23: CAIS 2023 Automated and
Intelligent Systems, Oct 2-5, USA & Online
Message-ID:
[Due extended per requests: apologies for cross-posting]
--- Call for Abstracts and Papers -------------
2023 OkIP International Conference on Automated and Intelligent Systems
(CAIS)
Downtown Oklahoma City, OK, USA & Online
October 2-5, 2023
https://eventutor.com/e/CAIS003
Submission Deadline Extended: August 23, 2023
Extended versions of the best papers will be considered for publication
in the inaugural volume of the International Journal of Automated and
Intelligent Systems.
*** Keynotes
"Embedded AI Applications"
Subramaniam Ganesan, PhD
Oakland University, Rochester, MI, USA
"AI and Digital Transformation: Industry Driven Partnerships"
Adel S. Elmaghraby, PhD
University of Louisville, KY, USA
*** 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
>> 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
>> Robotics and Vehicles
- Unmanned Vehicles/Robots
- Autonomous Vehicles/Robots
- Human-Robot Interfaces
- Human-Robot Interactions
- Intelligent Telerobotics | Service Robots
- Robotic Manipulators/Arms
- Robotic Applications
- Self-Driving Vehicles | Cloud-based Driving
- Vehicular ad hoc Networks |Traffic Detection
- Vehicle-to-Vehicle Communication
- Vehicle Platooning | Steering Systems
- Vehicle dynamics | Traffic Computing
>> New Important Dates:
- Abstract or Paper Submission: August 23, 2023
- Author Notification: September 7-10, 2023
- Camera Ready Paper Submission, Registration: September 20, 2023
- Conference Date: October 2-5, 2023
>> Technical Program Committee
https://eventutor.com/event/38/page/83-committee
Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info at okipublishing.com
From battleday at princeton.edu Mon Aug 21 10:57:23 2023
From: battleday at princeton.edu (Ruairidh McLennan Battleday)
Date: Mon, 21 Aug 2023 10:57:23 -0400
Subject: Connectionists: One week left: Call for papers: Symposium on the
Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
Message-ID:
Fourth International Symposium on the Mathematics of Neuroscience.
28th September - 1st October 2023, Old Town, Rhodes, Greece.
?----------------
*One week left*: Call for papers
?----------------
Thank you to everyone that has submitted so far!
We invite submissions for this year?s conference on the mathematics of
neuroscience:
www.neuromonster.org
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.
Submissions will be assigned to either a short talk, spotlight talk, or
poster presentation.
Keynote Speakers
Professor Aapo Hyv?rinen (University of Helsinki)
Professor Janneke Jehee (Donders Institute)
Professor Peter Latham (UCL)
Session Chairs
Biocomputation: Professor Dan V. Nicolau (King?s College London / Oxford)
Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT)
Neurotheory: Dr James Whittington (Oxford / Stanford)
Representational alignment: Dr Ilia Sucholutsky (Princeton)
Confirmed Talks
Professor Andrew Adamatzky (UWE)
Professor Dan Nicolau Sr (McGill)
Professor Bill Thompson (Berkeley)
Professor Bradley Love (UCL)
Professor
Dr Thomas Parr (UCL)
Dr Ilias Rentzeperis (SNRC)
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 is by 250-word abstract before the 28th August 2023, 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 tobias.uelwer at tu-dortmund.de Mon Aug 21 11:34:35 2023
From: tobias.uelwer at tu-dortmund.de (Tobias Uelwer)
Date: Mon, 21 Aug 2023 17:34:35 +0200
Subject: Connectionists: Call For Papers ICBINB@NeurIPS2023 - Failure Modes
in the Age of Foundation Models
Message-ID: <3087A6BF-9247-49BE-A17D-2A024B2EA2EC@tu-dortmund.de>
We are happy to announce the I Can?t Believe It?s Not Better workshop at NeurIPS 2023. This year the workshop is titled Failure Modes in the Age of Foundation Models. We invite submissions that focus on surprising or negative results when using foundation models as well as submissions with more general negative results from machine learning. The full call for papers is below.
Key Information
Paper Submission Deadline - October 1, 2023 (Anywhere on Earth)
Workshop Website: https://sites.google.com/view/icbinb-2023/home
Call For Papers
The goal of the I Can?t Believe It?s Not Better workshop series is to promote ?slow science? that pushes back against ?leaderboard-ism?, and provides a forum to share surprising or negative results. In 2023 we propose to apply this same approach to the timely topic of foundation models.
The hype around ChatGPT, Stable Diffusion and SegmentAnything might suggest that all the interesting problems have been solved and artificial general intelligence is just around the corner. In this workshop we cooly reflect on this optimism, inviting submissions on failure modes of foundation models, i.e. unexpected negative results. In addition we invite contributions that will help us understand when we should expect foundation models to disrupt existing sub-fields of ML and when these powerful methods will remain complementary to another sub-field of machine learning.
We invite submissions on the following topics:
? Failure modes of current foundation models (safety, explainability, methodological limitations, etc.)
? Failure modes of applying foundation models, embeddings or other massive scale deep learning models.
? Development of machine learning methodologies that benefit from foundation models, but necessitate other techniques.
? Meta machine learning research and reflections on the impact of foundation models on the broader field of machine learning.
? Negative scientific findings in a more general sense. In keeping with previous workshops we will accept findings on methodologies or tools that gave surprising negative results without foundation models. Such submissions are encouraged especially with discussion on the relevance of findings in the present climate where foundation models are changing the field.
Technical submissions may center on machine learning, deep learning or deep learning adjacent fields (causal DL, meta-learning, generative modelling, adversarial examples, probabilistic reasoning, etc) as well as domain specific applications.
Papers will be assessed on:
? Clarity of writing
? Rigor and transparency in the scientific methodologies employed
? Novelty and significance of insights
? Quality of discussion of limitations
? Reproducibility of results
Selected papers will be optionally included in a special issue of PMLR. Alternatively, some authors may prefer their paper to be in the non-archival track which is to share preliminary findings that will later go to full review at another venue.
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From daniel.braun at uni-ulm.de Tue Aug 22 06:21:35 2023
From: daniel.braun at uni-ulm.de (Daniel Braun)
Date: Tue, 22 Aug 2023 11:21:35 +0100
Subject: Connectionists: W3-Professorship in "Machine Learning" at Ulm
University
Message-ID:
The Faculty of Engineering, Computer Science and Psychology, Institute of
Neural Information Processing, is seeking to fill the position of
Professor (W3) of Machine Learning -reference no 23128
We are seeking an exceptional candidate with a distinguished international
track record in the field of machine learning to contribute to the profile
formation within our Department of Computer Science.
The research focus of this professorship should center around fundamental
methodological contributions to machine learning. This includes expertise
in statistical learning methods, neural network architectures, cognitive
modeling of learning and adaptation processes, relational and structured
learning models, and related topics. The ideal candidate will demonstrate
connections to the faculty's key focus area, "Cognitive Systems", and the
strategic development area "Data Science".
Moreover, affiliations to fields such as medical image processing,
psychology of cognitive processes, technical adaptive systems, and relevant
topics in other faculties of the university are desirable. Collaborative
involvement with companies in the Science Park of Ulm and the newly founded
DLR Institute for Secure AI is also welcome. Experience in acquiring
third-party funding and participation in national and international
research collaborations are required attributes.
In teaching, the professorship will cover the area of "Machine Learning"
and practical and applied computer science topics in the core curriculum of
the bachelor's degree programs in computer science.
Teaching of advanced modules is, in particular, expected in the master's
degree program "Artificial Intelligence" and in the international master's
degree program "Cognitive Systems". Modules at the master?s level are
primarily taught in English. The candidate's excellence in teaching will be
evident through appropriate teaching evaluations. Participation in academic
administration is expected. The professorship is linked to the role of
deputy director for the Institute of Neural Information Processing.
Employment requirements are completed university studies as well as
teaching aptitude, a doctoral degree and further pertinent scientific
achievements (? 47 LHG).
*Join our dynamic and innovative academic community, and be part of shaping
the future of machine learning at Ulm University. We look forward to
receiving your application!*
> Reference no.:
*23128*
> Applicaton deadline:
15.10.2023
Your contact for further information:
Prof. Dr. Dr. Daniel Braun, Tel. +49 731 50-24150
We look forward to your application via our online application portal
Ulm University is a young research university with a focus on natural
sciences, medicine and technology. Located in an economically strong region
the University with its more than 10,000 students offers a dynamic work
environment with attractive networking and development prospects. The
University is seeking to increase the proportion of women in research and
teaching and particularly encourage qualified female scientists to apply
for this position. Severely disabled applicants with equal aptitude will be
given preferential consideration.
--
Prof. Dr. Dr. Daniel Alexander Braun
Institute of Neural Information Processing
Faculty of Engineering, Computer Science and Psychology
Ulm University
James-Franck-Ring
D-89081 Ulm
Germany
phone: +49 (0)731 50 - 24150 <%2B49%20%280%29731%2050%20-%2024158>
fax: +49 (0)731 50 - 24156
email: daniel.braun at uni-ulm.de
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From hocine.cherifi at gmail.com Tue Aug 22 04:16:42 2023
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Tue, 22 Aug 2023 10:16:42 +0200
Subject: Connectionists: COMPLEX NETWORKS 2023 Menton Riviera France
Submission Deadline Sept 02, 2023
Message-ID:
You are cordially invited to submit your contribution until *September 02,
2023*.
*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)
Join us at COMPLEX NETWORKS 2023
*-------------------------*
Hocine CHERIFI
University of Burgundy Franche-Comt?
Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS
Editor in Chief Applied Network Science
Plos Complex Systems
Editorial Board member PLOS One , IEEE
ACCESS ,
Scientific
Reports ,
Journal of Imaging , Quality and
Quantity , Computational Social
Networks ,
Complex Systems
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From tserra at gmail.com Tue Aug 22 07:28:01 2023
From: tserra at gmail.com (Thiago Serra)
Date: Tue, 22 Aug 2023 07:28:01 -0400
Subject: Connectionists: CFP: Interdisciplinary Narratives on Artificial
Intelligence & Personnel Selection Systems
Message-ID:
Dear colleagues,
I am one of the editors of the special issue "Interdisciplinary Narratives
on Artificial Intelligence & Personnel Selection Systems" for the
International Journal on Human Resources Management (ranked A in the ABDC
list).
I would love to see contributions from this community. Please see the
attached CFP and let us know if you have any questions.
Sincerely,
Thiago Serra
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From serendipity.alvin at gmail.com Mon Aug 21 23:01:55 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Tue, 22 Aug 2023 11:01:55 +0800
Subject: Connectionists: Special Issue on Recent Advances in Security,
Privacy, and Trust [Five Journals: Electronics;
Journal of Cybersecurity and Privacy; Mathematics; Remote Sensing;
Sustainability]
Message-ID:
Dear Colleagues,
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 and SSCI, 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
==================
- Dr. Jun Feng
Huazhong University of Science and Technology, China
Email: junfeng989 at gmail.com
Website: http://faculty.hust.edu.cn/fengjun6/en/
- Dr. Changqing Luo
Virginia Commonwealth University, USA
Email: cluo at vcu.edu
Website: http://www.people.vcu.edu/~cluo/
- Dr. Mamoun Alazab
Charles Darwin University, Australia
Email: mamoun.alazab at cdu.edu.au
Website: https://researchers.cdu.edu.au/en/persons/mamoun-alazab
--
Dr. Jun Feng
Huazhong University of Science and Technology
Mobile: +86-18827365073
WeChat: junfeng10001000
E-Mail: junfeng989 at gmail.com
Website: http://faculty.hust.edu.cn/fengjun6/en/
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From pmitra3 at gmail.com Tue Aug 22 21:12:42 2023
From: pmitra3 at gmail.com (pmitra3 at gmail.com)
Date: Tue, 22 Aug 2023 21:12:42 -0400
Subject: Connectionists: CFP: InfoWild'23,
1st CIKM International Workshop on Knowledge Extraction and
Management for Wildlife Conservation
Message-ID: <000001d9d55e$eb707c40$c25174c0$@gmail.com>
CFP: InfoWild'23, 1st CIKM International Workshop on Knowledge Extraction
and Management for Wildlife Conservation
Data analytics and artificial intelligence has an important role to play in
wildlife conservation. We are amidst the 6th mass extinction of species. Our
future is only sustainable if we can preserve our biodiversity. Several
challenges such as human-wildlife conflict, poaching, loss of habitat, etc.
can be addressed to some extent using AI and DA.
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.
We invite you to join in any way you see fit in this effort. See:
https://wildinfo.ist.psu.edu/ for the formal
call.
Venue: Birmingham, U.K.
Deadline: 30th August, 2023 (may be extended)
Date: 22nd October, 2023.
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From wanling.cai at tcd.ie Tue Aug 22 18:43:22 2023
From: wanling.cai at tcd.ie (Wanling Cai)
Date: Tue, 22 Aug 2023 22:43:22 +0000
Subject: Connectionists: ACM IUI 2024 - Call for Papers
Message-ID:
CFP IUI 2024
* 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 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.
Supplemental materials
* 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 ioannakoroni at csd.auth.gr Wed Aug 23 03:22:39 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Wed, 23 Aug 2023 10:22:39 +0300
Subject: Connectionists: Last call registration: Invitation to join 2023
Summer 'Programming short course and workshop on Deep
Learning and Computer Vision', 30 August - 1 September, 2023
References: <004601d874cd$c8a23160$59e69420$@csd.auth.gr>
<09a701d992d4$2f9f6e80$8ede4b80$@csd.auth.gr>
<0f0701d9944d$51a60e10$f4f22a30$@csd.auth.gr>
<0f3901d9944d$e29a0e80$a7ce2b80$@csd.auth.gr>
<20230601095058.Horde.hS4Z9JrpBDQ7SZKwv29jOla@webmail.auth.gr>
Message-ID: <2c1001d9d592$99ed2f60$cdc78e20$@csd.auth.gr>
Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,
you are welcomed to register to the CVML course on ?Programming short course and workshop on Deep Learning and Computer Vision?, 30th August - 1st September 2023:
https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/
It will take place at KEDEA Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).
This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years.
Course description ?Programming short course and workshop on Deep Learning and Computer Vision?
The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.
Part A will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification.
Part B lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking.
Part C lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms.
Course lectures and programming workshops
Part A (8 hours) Deep Learning for Autonomous Systems
1. Deep neural networks ? Convolutional NNs.
2. Knowledge Distillation in Deep Neural Networks.
3. Programming workshop on Deep neural networks ? Convolutional NNs.
4. Programming workshop on Knowledge Distillation in Deep Neural Networks.
Part B (8 hours) Autonomous Systems Perception
1. Real Time Object Detection.
2. 2D Object Tracking in Embedded Systems.
3. Programming workshop on Real Time Object Detection.
4. Programming workshop on 2D Object Tracking in Embedded Systems.
Part C (8 hours) Autnomous Systems in Natural Disaster Management
1. Real-Time Image Segmentation.
2. Natural Language Processing for Natural Disaster Management.
3. Programming workshop on Real-Time Image Segmentation.
4. Programming workshop on Natural Language Processing for Natural Disaster Management.
You can use the following link for course registration:
https://rc.auth.gr/product-list/single-product/128
For questions, please contact: Ioanna Koroni < koroniioanna at csd.auth.gr>
This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy ( AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.
Relevant links:
1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA: https://tema-project.eu/
3) Horizon2022 EU funded R&D project AI4EUROPE: https://www.ai4europe.eu/
4) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/
5) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
6) International AI Doctoral Academy (AIDA): http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
8) AIIA Lab: https://aiia.csd.auth.gr/
Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Aristotle University of Thessaloniki, Greece
Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml
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From Donald.Adjeroh at mail.wvu.edu Wed Aug 23 18:54:11 2023
From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh)
Date: Wed, 23 Aug 2023 22:54:11 +0000
Subject: Connectionists: Call for Participation -- SBP-BRiMS'2023 conference
now approaching ...
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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 d.goyer at fz-juelich.de Wed Aug 23 07:14:38 2023
From: d.goyer at fz-juelich.de (Dr. David Goyer)
Date: Wed, 23 Aug 2023 13:14:38 +0200
Subject: Connectionists: INCE-2024 Save the date
Message-ID: <83c38756-f064-9d31-ab4b-18917fe4b523@fz-juelich.de>
Dear Colleague,
On behalf of the organizing committee, and our honorary chair Giacomo
Indiveri, I would like to draw your attention to a very special event
next year. This will the *International Conference on Neuromorphic
Computing and Engineering (ICNCE)*, to be held in *Aachen Germany June
3-6, 2024*. For details please visit our website
(https://www.icnce-2024.de/).
This conference is planned as a *t**ruly interdisciplinary**event*. We
intend to bring many communities together that are working to expand our
understandingof the human brain, and to engineer brain-inspired
technologies of low power and increased computational abilities as well
as their application in present and future AI systems.The location is
the Eurogress, in the heart of the historic city of Aachen, with close
connections to RWTH University and nearby Forschungszentrum J?lich.
Participants will span international practitioners from the fields of
*electrical engineering, neuroscience and computational neuroscience,
information technology, materials science, physics,****computer science
and artificial intelligence, philosophy and ethics*. In addition, we
plan to have industry presentations, some of which will be
cross-disciplinary.Among others, Jochen Hanebeck (CEO, Infineon),
Barbara de Salvo (Meta, still under reservation) and Abu Sebastian (IBM
Research) have already confirmed their participation.Furthermore, we are
also planning an industrial and a poster exhibition.
Today we would like to ask you to *save the date*. Further information
will follow.
Sincerely,
Markus Diesmann ? Computational and Systems Neuroscience,
Forschungszentrum J?lich
Co-Chair of the ICNCE 2024
also on behalf of the co-chairs
Bastian Leibe ? Computer Vision, RWTH Aachen & AI Center
Max Lemme ? Electronic Devices, RWTH Aachen & AMO GmbH
Rainer Waser - Electronic Materials, RWTH Aachen & Forschungszentrum J?lich
--
Dr. David Goyer
Scientific Coordinator
Institute of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience &
Institute for Advanced Simulation (IAS-6)
Theoretical Neuroscience
J?lich Research Centre and JARA J?lich
Germany
phone: +49-1756402993
---------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------
Forschungszentrum J?lich GmbH
52425 J?lich
Sitz der Gesellschaft: J?lich
Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller
Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende),
Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
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From weng at msu.edu Wed Aug 23 10:24:19 2023
From: weng at msu.edu (Weng, Juyang)
Date: Wed, 23 Aug 2023 14:24:19 +0000
Subject: Connectionists: Call for Papers: Workshop on Transparentizing Deep
Learning
Message-ID:
Workshop on Transparentizing Deep Learning
(WTDL 2024)
January 16, 2024
in
5th AIEE
Bangkok, Thailand
http://www.aiee.net/workshop.html
Sponsored by
Brain-Mind Institute
http://brain-mind-institute.org/
The Deep Learning scheme has been the basis of a great recent increase in the number of AI-related publications. Based on Deep Learning, many generative AI systems, such as ChatGPT and Large Language Models (LLMs), have also attracted much attention from the public, media, as well as policymakers, including those in the U.S., Europe, and China. ?For LLMs to solve problems, people need better understand the successes and failures of these tools? (editorial, Nature, July 27, 2023). This workshop invites researchers knowledgeable about deep learning to exchange the latest results toward transparentizing deep learning, including LLMs.
Full research and position papers accepted will be published in the workshop section of the proceedings of AIEE 2024. Accepted abstracts will be presented during the workshop. After submitting your papers online to AIEE 2023, send them also to the workshop general chair via email. The registration fee for the workshop is US$80 by Dec. 31, 2023, and $100 after. According to paper submissions, the Workshop intends also to hold a panel session to facilitate interactive discussions among the workshop participants. Workshop presenters will be onsite, but registered remote viewers are allowed who will be able to submit questions to the panel members and presenters.
For more details, visit the website of the 5th AIEE http://www.aiee.net/.
General Chair:
Prof. Juyang (John) Weng
Brain-Mind Institute and GENISAMA
Michigan, USA
weng at msu.edu
Program Co-Chairs:
Prof. Dongshu Wang
Zhengzhou University
Henan, China
wangdongshu at zzu.edu.cn
Prof. Xiang Wu
Nanjing University of Science and Technology
Nanjing, China
wux0213 at hotmail.com
Local Arrangement:
Ms. Emma Zhou,
Email: aiee2021 at 163.com
Website: www.aiee.net
Tel.: +86-18117808143
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From japkowic at american.edu Wed Aug 23 10:11:53 2023
From: japkowic at american.edu (Nathalie Japkowicz)
Date: Wed, 23 Aug 2023 14:11:53 +0000
Subject: Connectionists: =?windows-1252?q?IEEE_Computer_Society=92s_Digita?=
=?windows-1252?q?l_Platforms_and_Societal_Harms_Event?=
Message-ID: