[UAI] [jobs] 2 Research fellows in Epistemic Artificial Intelligence - ***March 13***

[Fabio Cuzzolin]

The Visual Artificial Intelligence Laboratory at Oxford Brookes University,
led by Professor Fabio Cuzzolin, is seeking two Research Fellows in
Epistemic Artificial Intelligence, to be appointed as soon as possible,
full-time, until February 2025.

Deadline: March 13 2022
Salary:  £32,344, rising annually to £35,326

The Research Fellows will lead the Lab’s efforts in the context of the
Horizon 2020 FET project “Epistemic AI” coordinated by Oxford Brookes.

https://www.epistemic-ai.eu/

with TU Delft and KU Leuven as partners.

***People with strong skills in both statistics and machine learning are
especially sought***

The project’s overarching objective is to develop a new paradigm for a
next-generation artificial intelligence providing worst-case guarantees on
its predictions thanks to a proper modelling of real-world uncertainties.
The project re-imagines AI from the foundations, with the aim of providing
a proper treatment of the ‘epistemic’ uncertainty stemming from a machine’s
forcibly partial knowledge of the world by means of advanced uncertainty
theory.

In particular, the work will focus on employing uncertainty measures (such
as non-additive probabilities and random sets) to ‘robustify’ statistical
learning and unsupervised learning (e.g. by generalising generative
adversarial networks), create a robust theory of supervised learning (e.g.
by devising suitable loss functions for random sets and convex sets of
probabilities) and propose an epistemic reinforcement learning framework by
reformulating sequential decision making under second-order uncertainty.
The new epistemic learning paradigms will be validated in the autonomous
driving application scenario.

The Visual Artificial Intelligence Laboratory is a fast-growing research
unit currently running on a budget of £3.2 million from nine live projects
funded by the EU (2), Innovate UK (2), Leverhulme, EPSRC and others.

http://cms.brookes.ac.uk/staff/FabioCuzzolin/

We are leaders in the field of deep learning for action detection, but our
research interests span artificial intelligence, uncertainty theory,
machine learning, computer vision, autonomous driving, surgical and mobile
robotics, AI for healthcare. The Lab is currently pioneering frontier
topics in AI such as machine theory of mind, self-supervised learning,
continual learning and future event prediction. The Laboratory is part of
the University’s new Institute for Ethical AI and is in the process of
launching a new start-up to develop the world’s first AI-powered coaching
app for competitive sports.

The fellows will join a vibrant and fast growing team foreseen to comprise
35+ people in 2022. You will support Prof Cuzzolin in the overall
management of the project, and will be assisted by another research fellow
and two PhD students on the project. You will be working on a network of
cutting edge 4-GPU and 8-GPU workstations, mentor PhD and MSc students and
seek additional external funding to complement the Lab’s existing
activities.

You are encouraged to contact Prof Cuzzolin at fabio.cuzzo...@brookes.ac.uk
for more information and an informal feedback on your application.

To apply, please follow the instructions you can find here:

https://www.jobs.ac.uk/job/CMK248/research-fellow-in-epistemic-artificial-intelligence
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[UAI] [jobs] DEADLINE POSTPONED: Post-doc Functional Memory Network in collaborative AI for context awareness and action planning in robotics @ Italian Institute of Technology (IIT)

[Francesco Rea]

Post-doc Functional Memory Network in collaborative AI for context awareness 
and action planning in robotics

At IIT we work enthusiastically to develop human-centered Science and 
Technology to tackle some of the most pressing societal challenges of our times 
and transfer these technologies to the production system and society. Our Genoa 
headquarter is strictly inter-connected with our 11 centers around Italy and 
two outer-stations based in the US for a truly interdisciplinary experience.

The CONTACT Research Line is coordinated by Alessandra Sciutti, who has 
extensive experience in Cognitive Architecture for Human Robot Interaction.
Within the team, your main responsibilities will be:

  *   Exploiting functional memory networks and related AI in a cognitive 
architecture for better human robot collaboration;
  *   Design of control systems for dextrose mobile robots aiming at natural 
human-robot collaboration;
  *   Development of an AI solution for context awareness in collaborative 
unstructured manufacturing contexts;
  *   Development of an AI solution for action planning in collaborative 
unstructured manufacturing contexts.
This open position is financed by European Commission through HBP (Human Brain 
Project) project CEoI for SGA3 - Application of functional architectures 
supporting advanced cognitive functions to address AI and automation problems 
of industrial and commercial within the awarded  PROMEN-AID, Proactive Memory 
iN AI for Development project (GA-94553)

Please submit your application using the online form 
(https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=it&job=2189 ) 
and including a detailed CV, cover letter (outlining motivation, experience and 
qualifications), names and contact of 2 referees.

Application's deadline:  March 31, 2022.

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[UAI] 8th IEEE International Smart Cities Conference (ISC2 2022): Second Call for Contributions

[George A. Papadopoulos]

*** Second Call for Contributions ***

8th IEEE International Smart Cities Conference (ISC2 2022)

"Community Smartification and towards ZERO emission Smart Cities
for a Green New Era"

September 26-29, 2022, Aliathon Resort, Paphos, Cyprus

https://attend.ieee.org/isc2-2022 


The Call-for-Contributions for the 8th IEEE International Smart Cities 
Conference
(ISC2 2022) is OPEN!

The IEEE ISC2 2022 Organizing Committee is glad to announce that it is currently
accepting papers for the 8th edition of the IEEE International Smart Cities
Conference. 

This year, the IEEE ISC2 will be held in-person on September 26-29, 2022, in
Paphos, Cyprus and the theme of the conference is “Community Smartification and
towards ZERO emission Smart Cities for a Green New Era.”

The IEEE ISC2 is the flagship conference sponsored by the IEEE Smart Cities
Technical Community, a coalition of eight IEEE technical societies and organizations. 

Besides contributions addressing the conference theme, authors are welcome to 
submit their original research results in traditional topics across broad application

and functional domains, within the context of smart urban infrastructure 
systems.

The technical areas include, but are not limited to:  

• Smart city theory, modelling and simulation   
• Intelligent 
infrastructure
• Sensors and actuators
• Open data and big data analytics
• AI 
powered smart cities services
• Safety and security systems
• Smart healthcare

• Smart emergency management
• IoT and Smart X services
• Data security and privacy
• Connected Vehicle (CV) technologies
• Unmanned 
Aerial Vehicles (UAVs)
• Smart mobility and transportation
• Smart energy 
systems
• Smart buildings and Smart grid
• Digital city and smart growth
• 
Smart traffic system operations
• Environmental monitoring technologies

The complete list of technical areas can be found here:
https://attend.ieee.org/isc2-2022/call-for-papers/ .

Should you need further clarifications or have any inquiries, please do not 
hesitate
to contact us at: isc22...@easychair.org .


Paper Submission Guidelines

Prospective authors are invited to submit high quality original (Full or Short) 
papers
via the EasyChair submission site at 
https://easychair.org/conferences/?conf=isc22022 .
Full papers should describe novel research contributions with evaluation results
and are limited to seven (7) pages. Short papers, limited in length to four (4) 
pages,
should be more visionary in nature and are meant to discuss new challenges and 
visions, highlight early research results, and explore novel research directions.


All submitted papers must be unpublished and not considered elsewhere for 
publication, should be written in English and formatted according to the IEEE

Template ( https://www.ieee.org/conferences/publishing/templates.html ).
Each submitted paper will pass through the standard IEEE peer-review process. If 
accepted and presented at the conference, it will appear in the conference 
proceedings and be submitted for inclusion in the IEEE Xplore Digital Library.


The conference organisers are currently negotiating a number of special issues
with high quality journals. More information will be available on the conference
web site.

The best papers will be awarded in the conference Best Paper Award and a Best 
Student Paper Award contests. 


For more information, please visit the conference website:
https://attend.ieee.org/isc2-2022 .


Special Sessions Proposals

Please refer to the web site for further details:
https://attend.ieee.org/isc2-2022/call-for-special-sessions/ .


Workshops Proposals

Please refer to the web site for further details:
https://attend.ieee.org/isc2-2022/call-for-workshop-proposals/ .


Tutorials Proposals

Please refer to the web site for further details:
https://attend.ieee.org/isc2-2022/call-for-tutorial-proposals/ .


Sponsorship Opportunities 


Please refer to the web site for further details:
https://attend.ieee.org/isc2-2022/sponsorships/ .


Important Dates

•   Conference Paper Submission Deadline: May 15, 2022
•   Conference Acceptance Notification: July 15, 2022
•   Conference Camera-ready Deadline: July 31, 2022

•   Special Sessions and Workshops Proposals Submission Deadline: April 15, 
2022
•   Special Sessions and Workshops Proposals Selection: April 21, 2022

•   Tutorial Proposals Submission Deadline: May 27, 2022
•   Tutorial Proposals Selection: June 3, 2022

•   Conference Dates: September 26-29, 2022


Organizing Committee

https://attend.ieee.org/isc2-2022/chairs/


Special Track Chairs Committee

https://attend.ieee.org/isc2-2022/special-tracks-committee2/


IEEE Smart Cities

https://smartcities.ieee.org
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[UAI] Call For Papers: 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022)

[SPIN 2022]

9th International Conference on Signal Processing and Integrated Networks (SPIN 
2022)
25-26 August 2022
Department of Electronics and Communication Engineering
ASET, Amity University, Sector 125, Noida, Delhi-NCR

 (Online Mode due to Pandemic COVID19)

Call for Papers

 //** Apologies, if you have received multiple copies. **//

Dear Sir/Madam,

Greetings from Amity University!!!



We are pleased to inform that Department of Electronics & Communication 
Engineering, Amity School of Engineering & Technology, Amity University Uttar 
Pradesh is organizing the 9th International Conference on Signal Processing and 
Integrated Networks (SPIN 2022) on 25-26 August 2022, at Amity University Uttar 
Pradesh, Noida- Delhi NCR, India in online mode. This conference is Technically 
Sponsored by the Springer.



For more details, kindly visit our website: http://www.amity.edu/spin2022/

 (Authors are advised to visit the conference website regularly for more 
updates)


All accepted, registered & presented papers of the Conference by authors are 
expected to be included in the CCIS, Springer Book Series 
(https://www.springer.com/series/7899) and indexed by EI, Scopus, etc.



Prospective authors are invited to submit full papers of 12-15 pages including 
results, figures, and references in standard CCIS, Springer Single-Column 
Format and must adhere to guidelines available on the website.



Templates, Sample Files & Useful Links:

  *   Microsoft Word Proceedings Templates (zip, 
559kb)
  *   Microsoft Word 2003 Proceedings Templates (zip, 
229kb)
  *   Your ORCID identifier



Paper Submission Link: https://easychair.org/my/conference?conf=spin20220



Call for Paper: https://www.amity.edu/spin2022/CFP.aspx



All the papers of SPIN-2014, SPIN-2015, 
SPIN-2016, 
SPIN-2017, 
SPIN-2018, 
SPIN-2019, SPIN-2020 
  and SPIN 2021 
have been published in IEEE Xplore Digital Library and indexed by Scopus, 
Google Scholar, etc.



Important Dates:

Full Paper Submission Deadline: 30 March, 2022

Acceptance Notification: 09 May, 2022

Conference Date: 25-26 August, 2022

Looking forward to your support, participation & contribution in SPIN-2022 to 
make it successful!

May I request you to kindly forward this Call for Papers to all your colleagues 
and peers.



For More Enquiry Please Contact:

The Organizing Chair,

International Conference – SPIN 2022,

Department of Electronics and Communication Engineering, ASET

Sector-125, Block E1, II Floor, Amity University Uttar Pradesh Noida, 
Delhi-NCR- 201313, (U.P.)

Conference Website: http://www.amity.edu/spin2022/

Email: s...@amity.edu,





With Warm Regards



Organizing Team SPIN-2022

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[UAI] CfP: 13th International Symposium on Computer Science in Sport

[Jesse Davis]

The 13th World Congress of Performance Analysis of Sport (WCPAS2022) and
the 13th International Symposium on Computer Science in Sport
(IACSS2022) will be held in Vienna from September 10th – 13th.

Techniques from machine learning, data mining, and computer vision are
increasingly being used to solve problems arising in both recreational
and professional sports. The developed approaches are being used for
decision support in all aspects of sports, including:

*Using machine learning techniques to perform tactical analysis of matches

*Data acquisition systems such computer vision solutions for tracking
the locations of players during matches

*Decision support systems to optimize training programs, perform injury
prediction, etc.

*Performance management and prediction

*Match and tournament prediction

*League scheduling

*Player evaluation and acquisition

IACSS 2022 solicits work on all aspects of research that lies at the
intersection of computer science and sports, including, but not limited
to, the list of topics above. The event will include invited talks as
well as a mix of oral and poster presentations.


For more information, please visit: https://wcpas2022.univie.ac.at/

Key Dates:
Abstract Submission: April 30, 2022

Abstract Notification: May 15, 2022

Full Paper Submission for Accepted Abstracts: October 10, 2022

-- 
Prof. dr. Jesse Davis
Machine Learning Group & DTAI Sports Analytics Lab
Department of Computer Science
KU Leuven
Belgium

@jessejdavis1
https://people.cs.kuleuven.be/~jesse.davis/
https://dtai.cs.kuleuven.be/sports/

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[UAI] Call for Papers: Special Issue on Federated, Distributed/Embedded Learning, and Learning at-the-Edge for Pervasive Systems

[Mirko Nardi]

Special Issue on Federated, Distributed/Embedded Learning, and Learning
at-the-Edge for Pervasive Systems

Journal: Elsevier Pervasive and Mobile Computing
Submission link: https://www.editorialmanager.com/pmc/default.aspx

* Call for Papers
--
The explosion of data volumes generated at the edge of the internet by an
increasing number of devices combined with the growing attention and
sensitivity to privacy preservation of such data, is moving the whole AI
process from remote cloud facilities towards the edge of the network, i.e.,
data owners/holders are more and more unwilling to share their raw data
freely to build AI applications and services. However, the data and
computational landscape at the edge is so much different from the one in
the cloud, that it has stimulated the development of new learning
frameworks designed to cope with the several connected challenges at the
edge. This is the case for Federated Learning, to mention one, that is a
distributed learning framework specifically designed for being robust to
context where devices holding some local data collaborate to train a
globally shared AI model. The challenges to be addressed in learning at the
edge are many since the learning algorithm has to consider several aspects
like local data heterogeneity, device heterogeneity, technological
shortcomings like intermittent connectivity, devices with limited
computational resources, to mention a few.

Developing intelligent distributed and pervasive systems over federated
datasets overcoming the limitations imposed by the edge scenario faces new
exciting challenges in the design of new AI algorithms, federated and
distributed optimization methods, privacy and security mechanisms, and
system implementation. This special issue serves as a forum for researchers
and practitioners to present their latest research findings and engineering
experiences in the theoretical foundations, empirical studies, and novel
applications of federated learning, distributed and embedded learning for
next-generation pervasive systems. We welcome contributions proposing
advancements in theory, algorithms, systems, and applications of federated
learning, embedded learning in pervasive systems for various AI tasks to
establish the latest efforts of the research in this area.

* Topics of interest include but are not limited to:

- Federated/Distributed Machine Learning Algorithms for
Embedded/Mobile/Edge Systems
- Supervised/Semi-supervised/Unsupervised Federated/Distributed Learning
- Optimization Algorithms in Federated/Distributed Learning
- Incentive Mechanisms for Federated Learning
- Fairness in Federated Learning
- Communication-Efficient Distributed/Decentralised Machine Learning
- Efficient Privacy-Preserving & Secure Machine Learning
- Personalized Federated/Distributed Machine Learning
- Online/Continual Learning in Pervasive Systems
- Compression of machine learning models for real-time inference on
Embedded/Mobile/Edge Systems
- Efficient on-device learning

- Applications of Federated/Distributed/Embedded Learning for:
- Activity recognition
- Anomaly detection
- Urban computing
- Healthcare
- Industry 4.0
- COVID-19
- Smart Cities
- Smart Agriculture
- Audio and Video signals processing
- Emotion recognition
- Environmental applications
- Resilient Communication in Contested Environments

* Schedule:
---
- Expected first submission: May, 01 2022
- Submission deadline: June 01, 2022
- First review round completed: September, 15 2022
- Revised manuscripts due: December 01, 2022
- Completion of the review and revision process (final notification):
January 31, 2023

* Guest Editors

Dr. Lorenzo Valerio, IIT-CNR, Pisa, Italy (lorenzo.vale...@iit.cnr.it)
Dr. Franco Maria Nardini, ISTI-CNR, Pisa, Italy (
francomaria.nard...@isti.cnr.it)
Dr. Nirmalya Roy, University of Maryland, Baltimore County, USA (
n...@umbc.edu)
Dr. Raghuveer Rao, U.S. DEVCOM Army Research Laboratory, USA (
raghuveer.m.rao@army.mil)
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[UAI] AREA 2022 Workshop Call for papers

[Angelo Ferrando]

[Apologies for cross and multiple postings]

---

Call for Papers
Second Workshop on Agents and Robots for reliable Engineered Autonomy (AREA)

Co-located with IJCAI/ECAI 2022
Workshop: 23rd-25th July 2022 (EXACT DAY TO BE CONFIRMED)

(Conference: 23rd-29th of July, 2022)
Vienna, Austria

Info: https://areaworkshop.github.io/AREA2022/
Contact: area.workshop.i...@gmail.com

---

IMPORTANT DATES

Abstract Submission (optional): 29th April 2022
Paper Submission Deadline: 6th May 2022 (AoE, UTC-12)
Paper Notification: 3rd June 2022
Camera Ready: 17th June 2022
Workshop: 23rd-25th July 2022 (EXACT DAY TO BE CONFIRMED)

SCOPE

Autonomous agents is a well-established area that has been researched  
for decades, both from a design and implementation viewpoint.  
Nonetheless, the application of agents in real-world scenarios has  
largely been adopted in applications which are primarily software  
based, and remains limited in applications which involve physical  
interaction. In parallel, robots are no longer used only in tightly  
constrained industrial applications but are instead being applied in  
an increasing number of domains, ranging from robotic assistants to  
search and rescue, where the working environment is both dynamic and  
underspecified, and may involve interactions between multiple robots  
and humans.


This presents significant challenges to traditional software  
engineering methodologies. Increased autonomy is an important route to  
enabling robotic applications to function in these environments, and  
autonomous agents and multi-agent systems are a promising approach to  
their engineering. As autonomy and interaction increases, the  
engineering of reliable behaviour becomes more challenging (both in  
robotic applications and in more traditional autonomous agent  
settings), and so there is a need for research into new approaches to  
verification and validation that can be integrated in the engineering  
lifecycle of these systems.


This workshop aims to bring together researchers from the autonomous  
agents and the robotics communities, since combining knowledge from  
these two research areas may lead to innovative approaches that solve  
complex problems related to the verification and validation of  
autonomous robotic systems. Therefore, we encourage submissions that  
combine agents, robots, software engineering, and verification, but we  
also welcome papers focused on one of these areas, as long as their  
applicability to the other areas is explicit.


TOPICS

The main topics include but are not limited to:
- Agent-based modular architectures applicable to robots
- Agent-oriented software engineering to model high-level control in  
robotic development
- Agent programming languages and tools for developing robotic or  
intelligent autonomous systems

- Coordination, interaction, and negotiation protocols for agents and robots
- Distributed problem solving and automated planning in autonomous systems
- Fault tolerance, health management, and long-term autonomy
- Real-world applications of autonomous agents and multi-agent systems  
in robotics

- Real-time multi-agent systems
- Reliable software engineering of autonomy
- Runtime verification of autonomous agents and robotic systems
- Task and resource allocation in multi-robot systems
- Verification and validation of autonomous systems
- Testing and simulation tools and techniques for autonomous or  
robotic systems
- Engineering reliable interactions between humans and autonomous  
robots or agents

- Verification and validation of human-robot interactions
- Engineering transparent decision making for autonomous systems

SUBMISSIONS

Participants are invited to submit either:
- a full-length research paper: a technical paper describing  
technically sound, innovative ideas that can advance the  
engineering/reliability of agents and robots; an application/case  
study paper, with emphasis on robotic applications where agents  
techniques have been applied; a survey paper on one of the topics of  
interest.


- a short paper: a position paper describing relevant questions and  
issues that participants feel should be addressed; a demo paper  
describing a demonstration of an agent/robotic application, system or  
tool; a new idea in the field which is not ready for publication as a  
regular paper.


Full-length research papers must not exceed twelve (12) pages single  
column, and short papers must not exceed six (6) pages single column,  
excluding references and appendices. All submissions must be in  
English and PDF format.
Each submission will receive at least three single-blind reviews. All  
papers should be original and not be submitted elsewhere. The review  
process is single-blind: submissions 

[UAI] SIGIR 2022 - Call for Tutorials

[Maria Maistro]

SIGIR 2022 - Call for Tutorial: https://sigir.org/sigir2022/call-for-tutorials/

The annual SIGIR conference is the major international forum for the 
presentation of new research results, and the demonstration of new systems and 
techniques, in the broad field of Information Retrieval (IR). The 45th ACM 
SIGIR conference will be held on July 11 to 15, 2022, in a hybrid mode 
(speakers and attendees will have the option to participate onsite or online) 
in Madrid, Spain.

SIGIR 2022 solicits proposals for both half and full-day tutorials covering 
topics relevant to the field of information retrieval and its applications. 
Each tutorial should cover a single topic in depth. For example, tutorials may 
cover an established information retrieval sub-topic, introduce an emerging 
application of information retrieval technologies, or update the information 
retrieval community on recent advances in related fields. We are especially 
interested in the third category of submission.

*** IMPORTANT DATES ***

Time zone: Anywhere on Earth (AoE)
Tutorial proposal due: March 24, 2022
Tutorials notification: April 14, 2022
Camera ready due: April 24, 2022
Tutorial day: Mon, Jul 11, 2022

*** SUBMISSION GUIDELINES ***

Submissions should include a cover sheet and an extended abstract. The cover 
sheet should include the following elements:
* Title and length (either half-day, e.g. 3 hours plus breaks, or full day, 
e.g., 6 hours plus breaks) of the tutorial.
* Tutorial format, i.e., on-site or online. The presenters should indicate 
whether or not all / some presenters commit to attend in person. Commitment to 
on-site tutorials will be a positive point when deciding which tutorials are 
accepted. If tutorial presenters commit to attend in person but fail to do so, 
the tutorial might be canceled.
* Intended audience (introductory, intermediate, advanced) and prerequisite 
knowledge or skills required.
* Detailed contact information of all presenters (and indication of the main 
contact person).
* Brief biography (max. 2 paragraphs) for each presenter, highlighting relevant 
experience in presenting tutorials, teaching grad classes, organizing summer 
schools, etc.

The extended abstract (no longer than 4 pages) should include the following 
sections:
* Motivation.
* Objectives.
* Relevance to the information retrieval community and reference to tutorials 
in the same area at SIGIR or related conferences (including WSDM, WWW, KDD, 
ACL, RecSys, ICML, etc.).
* Format and detailed schedule.
* Type of support materials to be supplied to attendees.

Tutorial proposals should be prepared in the current ACM two-column conference 
format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM 
Website (use the “sigconf” proceedings template).

The submissions will be reviewed by a program committee selected for this 
purpose, and final decisions will be made at the SIGIR Program Committee 
meeting.

Proposals should be submitted in PDF through the EasyChair system (tutorial 
track): https://easychair.org/conferences?conf=sigir22

The organizers of accepted tutorials will be invited to submit a camera-ready 
summary of the tutorial, to be included in the SIGIR 2022 conference 
proceedings.

*** TUTORIAL CHAIRS ***

* Michael Bendersky, Google Research;
* Maria Maistro, University of Copenhagen.

*** CONTACT ***

For further information, please contact the SIGIR 2022 Tutorial Co-chairs by 
email: sigir22-tutori...@easychair.org.


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[UAI] Call for papers: 7th International Conference on Belief Functions (BELIEF 2022)

[Thierry Denoeux]

7th International Conference on Belief Functions (BELIEF 2022)

Call For Papers

Dates: October 26th-28th, 2021

Location: Paris, France

* April 17th, 2022: Paper submission deadline
* May 29th 2022: Author notification
* July 3rd 2022: Camera-ready copy due




The theory of belief functions, also referred to as evidence theory or 
Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the 
context of statistical inference, and was later developed by Glenn Shafer as a 
general framework for modeling epistemic uncertainty. These early contributions 
have been the starting points of many important developments, including the 
Transferable Belief Model and the Theory of Hints. The theory of belief 
functions is now well established as a general framework for reasoning with 
uncertainty, and has well understood connections to other frameworks such as 
probability, possibility and imprecise probability theories. 

The biennial BELIEF conferences (sponsored by the Belief Functions and 
Applications Society https://www.bfasociety.org/ ) 
are dedicated to the confrontation of ideas, the reporting of recent 
achievements and the presentation of the wide range of applications of this 
theory. The first edition of this conference series was held in Brest, France, 
in 2010, the second edition in Compiègne, France, in 2012, the third edition in 
Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in 2016, the 
fifth edition in Compiègne, France, in 2018, and the sixth edition in Shanghai, 
China, in 2021. The Seventh International Conference on Belief Functions 
(BELIEF 2022) will be held in Paris, France, on October 26th-28th, 2022.

In order to favor cross-fertilization among researchers working in different 
subfields of AI and related disciplines, tutorials and special sessions will be 
dedicated to the links between machine learning and uncertain reasoning, 
including topics such as quantification of prediction uncertainty, learning 
data fusion rules, links with symbolic AI, etc. Submissions of papers combining 
several of these topics, or more generally at the cross-road of belief 
functions and other AI methods or uncertainty theories, are welcome.


===

Proceedings

===

Proceedings of the previous editions of BELIEF have been published by 
Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence 
(LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; 
ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; 
Zentralblatt MATH. Formal confirmation for the publication of this year's 
proceedings will be announced soon


==

IJAR Special issue

==

Authors of selected papers from the BELIEF 2022 conference will be invited to 
submit extended versions of their papers for possible inclusion in a special 
issue of the International Journal of Approximate Reasoning.


===

BELIEF 2022 Program Committee co-chairs

===

Sylvie Le Hégarat-Mascle (sylvie.le-hega...@universite-paris-saclay.fr 
), Isabelle Bloch 
(isabelle.bl...@sorbonne-universite.fr 
).

The organizers would be grateful if you could inform potentially interested 
participants of this conference.


--
Prof. Thierry Denoeux
Université de technologie de Compiègne
Institut universitaire de France
Rue Roger Couttolenc, CS 60319
60203 Compiègne cedex, France
https://www.hds.utc.fr/~tdenoeux

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[UAI] Recently Published Research Track of KR2022

[Heyninck, Jesse]

CALL FOR PAPERS

Recently Published Research Track of the 19th Conference on Principles of
Knowledge Representation and Reasoning (KR2022)

July 31 - August 5, 2022, Haifa, Israel

https://kr2022.cs.tu-dortmund.de/cfp_recently_published_research_track.php

The 19th International Conference on Principles of Knowledge Representation
and Reasoning, KR 2022, invites submissions of abstracts of papers
previously published in journals and conference proceedings for the
Recently Published Research Track. The track is designed to provide a forum
to discuss recent research on topics related to KR that may not be
immediately familiar or easily accessible to the KR community.


** IMPORTANT DATES **

The key dates are as follows:
Submission: March 27, 2022
Notification: April 29, 2022


** SCOPE **

The track seeks papers that fall into one or both of the following two
categories:

1) Papers that:
- bridge KR to other areas of AI, computer science, or to other disciplines
for which an interface with KR exists (this includes database theory, game
theory, social choice, logic and philosophy, etc.);
-bridge KR to areas that make use of KR, such as multi-agent systems,
planning, natural language understanding, machine learning, explainable AI;
or
-go beyond the commonly-understood boundaries of KR.

2) Papers that are tightly related to KR and
- have been published in journals but have not been presented at workshops
or conferences;
- have been presented at conferences that are not typically attended by the
KR community; or
- have been accepted at general high-profile AI conferences such as IJCAI,
ECAI, or AAAI, where the time allotted has not allowed for a full
discussion of all key aspects of the paper.
- Submitted papers need only be of interest to a sub-community in KR (e.g.
DL, argumentation, NMR, etc.). However, they need to be made friendly to a
KR audience.


** AUTHOR GUIDELINES AND SUBMISSION INFORMATION **

The materials to be submitted include:
- a cover page (single page) listing the title, the authors, a complete
reference to the original paper, and a public or privately accessible URL
from which the paper can be downloaded. A list of keywords is also
expected. Finally, the cover page must contain a statement that the work
the submission is based on has not been already presented to a KR audience
in a major forum.
- A one-page (preferred) and no more than two-page extended abstract of the
paper following the format for regular paper KR 2022 submissions. The
abstract should present the main contributions of the paper, discuss the
relevance of the paper to KR, and explain the significance of the results.
A single pdf file with the materials should be submitted according to the
instructions detailed on the submission page.

Submissions must meet the following criteria:
- Candidate papers must have been published in a journal or conference
proceedings in 2020 or later.
- Papers that are in press may be submitted as long as the final
camera-ready version is available.
- Extensions of papers that have been previously presented at a KR
conference are not eligible for this track.
Extended abstracts of the accepted papers will be linked from the
conference website. Authors of accepted papers will present their work at
the KR conference, focussing on its significance and relevance to KR.
Significant time will be allocated for discussion of the interdisciplinary
aspects of the work and its potential impact on future research
opportunities for KR.

** CHAIRS **
Ivan Varzinczak (Université d'Artois and CRIL, France)
Sebastian Rudolph (TU Dresden, Germany)

Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist 
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(mit eigenhändiger Unterschrift) oder durch Übermittlung eines solchen 
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Important note: The information included in this e-mail is confidential. It is 
solely intended for the recipient. If you are not the intended recipient of 
this e-mail please contact the sender and delete this message. Thank you. 
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[UAI] ACM UMAP 2022: Call for Late-breaking Results and Demos

[Helma Torkamaan]

--- Please forward to anyone who might be interested ---

--- Apologies for cross-posting ---

-
# ** Call for LBR and Demos: 30th ACM Conference on User Modeling, 
Adaptation and Personalization (UMAP ’22)**


http://www.um.org/umap2022/

(*) Due to the ongoing COVID-19 pandemic, we are planning for a hybrid 
conference and will accommodate online presentations where needed.


-
***Important Dates***

- Submission of demos and LBR papers: April 15, 2022
- Notification of acceptance: May 10, 2022
- Camera-ready versions of accepted papers: May 18, 2022
- Conference: July 4-7, 2022

**Note: The submissions times are 11:59 pm AoE time (Anywhere on Earth)**


ACM UMAP – User Modeling, Adaptation and Personalization – is the 
premier international conference for researchers and practitioners 
working on systems that adapt to individual users or to groups of users, 
and that collect, represent, and model user information. ACM UMAP is 
sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling 
Inc. as the core Steering Committee, extended with past years' chairs. 
The proceedings are published by the ACM and will be part of the ACM 
Digital Library.


ACM UMAP 2022 invites Demonstrations and Late-Breaking Results (LBR) 
papers of innovative UMAP-based systems (including research prototypes). 
You are encouraged to submit your Demo or LBR by April 15th, 2022.



***Submission formats***

For more details, see below!

*# Demonstrations*

- Max. 5 pages + max. 1 additional page for references
- (Required) unpublished page describing how they would present the demo 
virtually and/or in person

- (Optional) video or external material demonstrating the system
- Publication in ACM UMAP 2022 Adjunct Proceedings
- Presentation as a (potentially virtual) demo + poster at the conference

*# Late-Breaking Results*

- Max. 7 pages + max. 2 additional pages for references
- (NEW: required) unpublished page with a list of questions the authors 
aim to get feedback on

- Publication in ACM UMAP 2022 Adjunct Proceedings
- Presentation as a (potentially virtual) poster at the conference

**Submission via** : https://easychair.org/conferences/?conf=umap22


***Demonstrations***

Demonstrations will showcase research prototypes and commercially 
available products in a dedicated session. Demo submissions must be 
based on an implemented and tested system that pursues one or more 
innovative ideas in the interest areas of the conference.


Demonstrations are an excellent and exciting way to showcase 
implementations and to get valuable feedback from the community. Each 
demo submission must make clear which aspects of the system will be 
demonstrated, and how these will be demonstrated on-site as well as online.


To better identify the value of demos, we also encourage authors to 
submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or 
any external material related to the demo (e.g., shared code on GitHub).


Descriptions of demonstrations should have a length of max. 3 pages + 1 
page of references in the new ACM single-column style. On an extra page 
(not to be published), submissions should include a specification of the 
technical requirements for demonstrating the system at UMAP 2022. Given 
uncertainties surrounding the COVID-19 pandemic, this extra page should 
also describe if/how the demo can be presented in a virtual setting 
(e.g. with a video or a live link to the system).


***Late-Breaking Results***

Late-Breaking Results (LBR) are research-in-progress that must contain 
original and unpublished accounts of innovative research ideas, 
preliminary results, industry showcases, and system prototypes, 
addressing both the theory and practice of User Modeling, Adaptation and 
Personalization. In addition, papers introducing recently started 
research projects or summarizing project results are welcome as well.


We encourage researchers and practitioners to submit a late-breaking 
work as it provides a unique opportunity for sharing valuable ideas, 
eliciting useful feedback on early-stage work, and fostering discussions 
and collaborations among colleagues.


Late-Breaking Results papers have a length of up to 7 pages + 2 pages of 
references in the new ACM single-column style and will be presented to 
the conference as (in-person and virtual) posters. On an extra page (not 
to be published), submissions should include a list of questions that 
the authors aim to get feedback on during the poster session at UMAP 2022.



***Submission and Review Process***

Paper

[UAI] [meetings] CFP: IEEE RO-MAN 2022 special session on Safe Human-Robot Collaboration

[AndreA Orlandini]

apologies for multiple copies

Call for papers

*Special session: Safe Human-Robot Cooperation and Collaboration in 
manufacturing environments*


31th IEEE International Conference on Robot and Human Interactive 
Communication (IEEE RO-MAN 2022)

29/8-2/9 2022 Naples, Italy
http://www.smile.unina.it/ro-man2022/

*Submission deadline: 15th of March 2022**
**Special session code: n17r1*


-
Motivation and goals
-
The Fourth Industrial Revolution (or most commonly termed ‘Industry 
4.0’) comprises the ongoing insurrectionary transition of conventional 
manufacturing/industrial pipelines towards significantly more 
automatized and data-driven ones, making extensive use of emerging and 
advanced technologies, like the Internet of things (IoT), Big Data 
analytics, smart sensors, advanced human-machine interfaces, etc. 
Inevitably, robots constitute an integral ingredient of this process, 
since they can boost: a) the increase in the levels of automation, b) 
the tighter connection of the physical and the digital world, c) the 
shifting from a central control system to a smart decentralized one, d) 
the implementation of closed-loop data models and control systems, and 
e) the personalization/customization of products and processes. This in 
turn raises the need for more efficient and effective human-robot 
cooperative (humans and robots work alternately on different tasks 
within a process in the same workspace) and collaborative (humans and 
robots interact in a shared workspace, e.g. working on the same 
workpiece) schemes. Indeed, humans and robots already work together in 
production nowadays (with distinct roles and usually in an isolated way 
though), where robots are reliably shown to support and relieve human 
operators, to enable versatile automation steps and to increase 
productivity. The purpose of this special session is to explore how 
cooperation and collaboration among humans and robots can work in a safe 
and acceptable way fostering their integration in real contexts. The 
special session will focus on any application area with a specific 
attention to industrial scenarios, one of the most promising application 
areas for collaborative robots (or cobots). The contribution should 
present solution to robustly address current challenges in manufacturing 
(e.g. to handle fine-grained, customizable, flexible, sophisticated and 
sensitive tasks, to combine human capabilities with the efficiency and 
precision of machines, etc.), to realize safe human-robot interaction, 
collaboration and communication capabilities.


This special session focuses on critical challenges for cobots that 
remain to be addressed in order to enable their effective and 
sustainable deployment in real-world operational settings, including, 
among others, the following main aspects: a) Safe interaction, including 
safety standards and collaborative operating modes, respecting and 
predicting the human co-worker’s space, b) Intuitive interfaces, 
including programming approaches, input modes and reality enhancement, 
and c) Design methods, including task planning and allocation, control 
laws and sensors. Addressing the latter constitutes a prerequisite for 
reaching successful Human-Robot Collaboration (HRC) schemes, which will 
in turn provide a promising way to achieve increases in productivity 
while decreasing production costs, based on the combination of the human 
ability to judge, react and plan with the repeatability and strength of 
a robot.



---
Expected contributions
---
Papers to be presented in the special session cover topics related, but 
not limited, to:

- Large-scale multi-agent human-robot collaborative learning
- Learning from (human) demonstration
- Advanced AI technologies in HRC
- Deployment of robotic systems in manufacturing environments
- Safety issues in HRC
- Collaborative task assignment and planning in HRC
- New functions for enriching Robotics Standards
- Human detection, tracking and proximity sensing in HRC
- Human-aware Task and Motion planning in realistic environments
- Human activity modeling and prediction in HRC
- Communication and coordination between human and robot
- Tactile sensing and physical human robot interaction
- Multi-modal interaction/interfaces in HRC
- Failure detection and recovery in HRC control systems
- Human factors analysis in HRC
- Trust in HRC schemes
- Evaluation methods for HRC workplaces and process (productivity, 
flexibility etc.)

- Cognitive architectures for human-robot collaboration and learning
- Ergonomics of HRC (Physical, Intensity of signals, alarms, visual 
field etc.)

- Semantic mapping in HRC environments
- Benchmarking and evaluating performance for HRC


--
Paper format and submission guidelines
--
http://www.smile.unina.it/ro-man2022/call-for-papers/


-
Important dates
-
Paper submission deadline:   March 15, 20

[UAI] IEEE ICKG 2022 Call for papers

[白婷]

ICKG-2022: IEEE International Conference on Knowledge Graph

November 30-December 1, Orlando, FL, USA

Website: https://ickg2022.zhonghuapu.com/

--

Call For papers

l  Aims and Scope

Knowledge Graph deals with fragmented knowledge from heterogeneous, autonomous 
information sources for complex and evolving relationships, in addition to 
domain expertise. The IEEE International Conference on Knowledge Graph (ICKG), 
provides a premier international forum for presentation of original research 
results in Knowledge Graph opportunities and challenges, as well as exchange 
and dissemination of innovative, practical development experiences. The 
conference covers all aspects of Knowledge Graph, including algorithms, 
software, platforms, and applications for knowledge graph construction, 
maintenance, and inference. ICKG 2022 draws researchers and application 
developers from a wide range of Knowledge Graph related areas such as knowledge 
engineering, big knowledge, big data analytics, statistics, machine learning, 
pattern recognition, data mining, knowledge visualization, high performance 
computing, and World Wide Web. By promoting novel, high quality research 
findings, and innovative solutions to challenging Knowledge Graph problems, the 
conference seeks to continuously advance the state-of-the-art in Knowledge 
Graph.



Accepted papers will be published in the conference proceedings by the IEEE 
Computer Society. Awards will be conferred at the conference on the authors of 
the best paper and the best student paper. High quality papers will be invited 
for a special issue of Knowledge and Information Systems Journal  in an 
expanded and revised form.

l  Important Dates

o  Paper submission (abstract and full paper): July 31, 2022

o  Notification of acceptance/rejection: September 11, 2022

o  Conference: November 30-December 1, 2022

l  Topics of Interest

Foundations, algorithms, models, and theory of Knowledge Graph processing.

o  Knowledge engineering with big data.

o  Machine learning, data mining, and statistical methods for Knowledge 
Graph science and engineering.

o  Acquisition, representation and evolution of fragmented knowledge.

o  Fragmented knowledge modeling and online learning.

o  Knowledge graphs and knowledge maps.

o  Knowledge graph security, privacy and trust.

o  Knowledge graphs and IoT data streams.

o  Geospatial knowledge graphs.

o  Ontologies and reasoning.

o  Topology and fusion on fragmented knowledge.

o  Visualization, personalization, and recommendation of Knowledge Graph 
navigation and interaction.

o  Knowledge Graph systems and platforms, and their efficiency, 
scalability, and privacy.

o  Applications and services of Knowledge Graph in all domains including 
web, medicine, education, healthcare, and business.

o  Big knowledge systems and applications.

o  Crowdsourcing, deep learning and edge computing for graph mining.

o  Rule and relationship discovery in knowledge graph computing.

l  Track Topics

o  Track01: Machine Learning and Knowledge Graphs.

o  Track02: Reasoning with Knowledge Graphs.

o  Track03: Knowledge Graph Analytics and Applications.

o  Track04: Knowledge Graphs and NLP.

o  Track05: Knowledge graphs for Explainable AI.

o  Track06: Multimodal Knowledge Graphs.

o  Track07: Social Network and Representation Learning.

o  Track08: Knowledge Graphs for Cultural Heritage.

o  Track09: Knowledge Graphs for Geospatial Information Systems.

o  Track10: Domain Knowledge Graphs.

o  Track11: Knowledge Graphs for Education.

o  Track12: Big Knowledge Systems.




l  Submission Guidelines

Paper submissions should be no longer than 8 pages, in the IEEE 2-column 
format, including the bibliography and any possible appendices.Submissions 
longer than 8 pages will be rejected without review. All submissions will be 
reviewed by the Program Committee based on technical quality, relevance to 
Knowledge Graph, originality, significance, and clarity. You can choose to 
identify a Track Topic number in your submission title (e.g., 
your_paper_title-Track01) during submission.

 

All manuscripts are submitted as full papers and are reviewed based on their 
scientific merit. The reviewing process is confidential. There is no separate 
abstract submission step. There are no separate industrial, application, short 
paper or poster tracks. Manuscripts must be submitted electronically in online 
submission system. We do not accept email submissions.

 

More Information

More information about ICKG 2022 is at



https://ickg2022.zhonghuapu.com/___
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