Date : 2024-06-06 => 2024-06-07
Lieu : Université Savoie Mont Blanc

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CALL FOR PARTICIPATION ONSITE & ONLINE
TOTh 2024 – Terminology & Ontology: Theories and applications
University Savoie Mont Blanc (France)

Conference: 6 & 7 June 2024

Home

Opening Talk: “An overview of automatic term extraction”.
One session of the conference is dedicated to tools.
Conference Program: http://toth.condillac.org/wp-content/uploads/2024/04/TOTh_2024_Program_En.pdf

Training session: 4 & 5 June 2024
“Terminology & Artificial Intelligence (1): Ontology & Knowledge Graph”

Training 2024 AI

Registration: http://toth.condillac.org/registration

Conference Fees: Student: 25 € – Academic: 75 € – Other/Industrial : 150 €
Training Fees: Student: 50 € – Academic: 100 € – Other/Industrial : 150 €
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APPEL A PARTICIPATION SUR SITE ET EN LIGNE
TOTh 2024 – Terminologie & Ontologie: Théories et applications
Université Savoie Mont Blanc (France)

Conférence : 6 & 7 juin 2024
http://toth.fr.condillac.org/
Conférence d’ouverture (en anglais) : “An overview of automatic term extraction”.
Une session de la conférence est dédiée aux outils.
Programme de la Conférence : http://toth.fr.condillac.org/wp-content/uploads/2024/04/TOTh_2024_Program_Fr.pdf

Formation (en anglais) : 4 & 5 juin 2024
“Terminology & Artificial Intelligence (1): Ontology & Knowledge Graph”

Training 2024 AI

Inscription: http://toth.condillac.org/registration

Frais d’inscription à la conférence : Etudiant : 25 € – Académique : 75 € – Autre/Industriel : 150 €
Frais d’inscription à la formation : Etudiant : 50 € – Académique : 100 € – Autre/Industriel : 150 €
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Date : 2024-06-17 => 2024-06-20
Lieu : Tampere, Finland

Call for Papers – ICWE 2024
24th International Conference on Web Engineering

June 17-20, 2024 in Tampere, Finland

Homepage

ICWE 2024 – AT A GLANCE
The International Conference on Web Engineering (ICWE) is the premier annual conference on Web Engineering and associated technologies. It covers different aspects of Web Engineering, including the design, creation, maintenance, operation, and usage of Web applications.

ICWE aims to bring together researchers and practitioners from various disciplines in academia and industry to tackle the emerging challenges in the engineering of Web applications, the problems and opportunities of its associated technologies, and the impact of those technologies on society and culture.
Following the general debate on the need for human-centric and responsible technology, the 24th edition of ICWE in particular invites contributions under the following general theme:

Ethical and Human-Centric Web Engineering: Balancing Innovation and Responsibility in Web Technology

We indeed solicit contributions on diverse aspects related to designing innovative Web technology that however results in being fair, ethical, transparent, privacy-preserving, trustworthy, and inclusive for all.
Contributions on any other topic related to Web Engineering are also welcome.

Accepted contributions will be included in the ICWE 2024 Springer LNCS proceedings. The best papers will be selected to be proposed, in extended form, as part of a special issue of the Journal of Web Engineering. For more details, please refer to the full CfP at:

Research Track

IMPORTANT DATES
All dates are according to the time zone “Anywhere on Earth”, i.e., UTC-12.

– Abstract submission: January 26, 2024
– Paper submission: February 2, 2024
– Author notification: March 22, 2024
– Camera-ready Version: April 8, 2024

PROGRAM CHAIRS
– Sebastian Heil, Technische Universität Chemnitz, Germany
– Maristella Matera, Politecnico di Milano, Italy

CONTACT
Any question about submitting contributions to the research track should be emailed to pcchair.icwe2024@webengineering.org

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Annonce en lien avec l’Action/le Réseau : HELP

Thème :

Explicabilité et gestion de l’information (incertitudes/inconsistances) dans les données géospatialisées

Présentation :

La gestion d’informations et de données hétérogènes reste un défi dans de nombreuses applications. L’hétérogénéité renvoie à des informations de nature différente, tels que des images numériques, des documents structurés et non structurés, des cartes analogiques, des données incomplètes et non fiables et des connaissances (au sens large du terme) qui sont souvent sous-exploitées dans les applications réelles.

Le but de ces journées est de discuter des modèles et des méthodes pour la représentation, la complétion, la fusion, la réparation et l’interrogation des informations et des données hétérogènes, avec un accent particulier sur les données géographiques et spatiales. En effet, dans dans des villes en expansion, obtenir des informations précises pour enrichir les données SIG (Système d’Information Géographique) des réseaux urbains (par exemples des réseaux souterrains d’eaux usées et des eaux de pluie) est un défi à relever tant du point de vue recherche fondamentale que du point de vue recherche appliquée.

Du : 2024-06-17

Au : 2024-06-18

Lieu : Arras

Site Web : https://sites.google.com/view/ech-2024/

Date : 2024-06-17 => 2023-09-21
Lieu : LIASD, IUT de Montreuil, Université Paris8
Adresse : 140, rue de la nouvelle France 93100 Montreuil

Dear,

You are invited to attend a presentation by Professor Tommie Meyer (University of Cape Town, South Africa) as part of the monthly seminar organized by the EID team at LIASD, Université Paris 8. The seminar will be held at IUT Montreuil (Salle Visio)*, at 2:00 pm (Paris time).

The title of the talk is: Knowledge Representation and Reasoning: In the Age of Machine Learning.
Abstract: In this talk I’ll remind the audience that Machine Learning is one of a number of sub-disciplines of Artificial Intelligence (AI), and that it is important for the field as a whole to maintain and grow expertise in all aspects of AI. I will then proceed to practice what I preach by introducing Knowledge Representation and Reasoning as one of the pillars of AI. I’ll conclude with some suggestions on how Knowledge Representation and Reasoning can benefit from research in Machine Learning, and vice versa.

Bio: Tommie Meyer is the CAIR-UCT Research Chair in Artificial Intelligence, the director of the Artificial Intelligence Research Unit (airu.org.za) at the University of Cape Town, South Africa, and the co-director of the South African national Centre for Artificial Intelligence Research (cair.org.za). Prior to his appointment at the University of Cape Town in 2015 he held positions at the Council for Scientific and Industrial Research in Pretoria, South Africa, National ICT Australia (now Data61), the University of New South Wales in Australia, the University of Pretoria, and the University of South Africa. He is recognised internationally as an expert in Knowledge Representation and Reasoning. He is a SECAI Fellow (secai.org), a member of Council of the University of Johannesburg, a member of SAICSIT (saicsit.org), AAAI (aaai.org), the ACM (acm.org), and ASSAf (assaf.org.za/). He is one of only three South African Computer Scientists to have obtained an A-rating from the South African National Research Foundation.

You can join the conference remotely by following this (link)
Best regards

Nedra Mellouli and Sihem Belabbes.
* IUT de Montreuil, 140 rue de la nouvelle France, 93100 Montreuil (Google Map)

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Date : 2024-06-17 => 2024-02-19
Lieu : Poitiers, France

Overview
*********
Welcome to ISMIS 2024
27th International Symposium on Methodologies for Intelligent Systems
Website of the Conference: https://ismis2024.ensma.fr/
June 17 – 19, 2024
Poitiers, France

ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. It provides a basis for exchanging research results and transferring scientific achievements towards industrial and socio-economic applications. The scope of ISMIS is to present a wide range of topics related to the application of Artificial Intelligence (AI) techniques related to areas such as decision support, knowledge-based systems, machine learning, robotics, planning, computer vision, databases, information retrieval, configuration, and diagnosis. The conference also focuses on interdisciplinary research in AI-related fields, for example, decision support systems, human decision-making, recommender systems and personalization, knowledge-based systems development, cognitive aspects of knowledge understanding.

Conference Scope
****************
This year’s conference theme spans over two main directions: “the concepts and metrics to evaluate the explainability of AI systems” and “the principles of responsible AI”. With this focus, ISMIS 2024 aims at contributing to emerging challenges relative to the development of a new generation of fair and ethical AI systems capable of both “understanding” and “be understandable by” humans, adapting to complex real-world environments, appropriately interacting in complex social settings, mitigating possible cyber-threats and vulnerabilities, and aligning with Environmental, Social and Governance principles. The increased relevance of areas such as Autonomous Systems, Financial Services and Cybersecurity, and sensitive application domains such as Medicine, Manufacturing, Education, Earth Observation, Intelligent Maintenance and Military require systems with high accuracy, robustness, accountability, fairness, privacy/security, transparency, interpretability, and ethics. 
ISMIS 2024 is intended to attract academics, researchers and practitioners who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas. Relevant conference topics include but are not limited to: 

Explainable AI (XAI) 
Responsible AI
Security, Privacy and Ethics in AI 
Machine Learning (Robustness, Trustworthiness, Biases, Uncertainty …)
Multi-Instance, Multi-Label and Multi-Task Learning
Deep Learning, Neural Networks 
Causality and Machine Learning 
Anomaly Detection
Data Mining 
Recommender Systems 
Constraint-based Systems 
Autonomous Systems (UAVs, Robots, Agents …)
Applications (Configuration, Internet of Things, Smart Cities, Healthcare, Music Information Retrieval, Games, Archeology, Earth Observing Systems, Business Process Management, …) 
Intelligent User Interfaces 
User Modeling 
Human Computation 
Socially-aware Systems 
Intelligent Agent Technology 
Intelligent Data Processing and Analytics
Intelligent Information Retrieval 
Natural Language Processing 
Knowledge Integration and Aggregation 
Knowledge Visualization 
Knowledge Representation 
Soft Computing 
Web & Text Mining
Digital Libraries 
Urban Traffic Control and Mobility

Ethics
***********
Ethics is one of the most important topics to emerge in machine learning and data mining. We ask you to think about the ethical implications of your submission such as, e.g., related to the collection and processing of personal data, the inference of personal information, or the potential sensitive use of your work. which will be taken into consideration by the reviewers. As part of your submission, you are invited to include, if applicable, an ethical statement that discusses any ethical implications of your work.

Dual Submission Policy
**********************
Papers submitted should report original work. Papers that are identical or substantially similar to papers that have been published or submitted elsewhere may not be submitted to ISMIS, and the organizers will reject such papers without review. Authors are also not allowed to submit their papers elsewhere during the review period. Submitting unpublished technical reports available online (such as on arXiv), or papers presented in workshops without formal proceedings, is allowed.

Authorship
************
The author list as submitted with the paper is considered final. No changes to this list may be made after paper submission, either during the reviewing period or, in case of acceptance, at the final camera-ready stage.

Call for Papers
******************
Important dates
**********************
All deadlines are at 11:59pm in the Anywhere on Earth time zone.
Paper Submission
February 19, 2024 (*** New Extended Deadline ***)
Notification of Acceptance
March 15, 2024
Camera-ready version
March 31, 2024
Author registration/payment deadline
March 31, 2024
Non-author early registration/payment deadline
April 30, 2024
Non-author late registration/payment deadline
May 31, 2024
ISMIS’2024 conference date
June 17-19, 2024

PAPER SUBMISSION GUIDELINES
*********************************
Authors are invited to submit their original unpublished papers that demonstrate current research on one of the session topics of interest. Papers should be prepared in PDF form using the Springer LNCS/LNAI style (max 10 pages) and submitted via https://easychair.org/account/signin_timeout?l=rgR3dQtxyNWUqAUu6l6JBK
All submitted papers will be reviewed by ISMIS PC members.

PUBLICATIONS OF PAPERS 
***************************
The ISMIS’2024 proceedings will be published by Springer in Lecture Notes in Artificial Intelligence. Authors of the best papers (up to 12) will be invited to submit their extended versions to the Special ISMIS 2024 Track of the Journal of Intelligent Information Systems (JIIS) published by Springer.

AWARDS
*******************
ISMIS 2024 will award 600€ to the best conference paper and 400€ to the best student paper (student has to be the first author).

Industry Session
*************************

We invite you to submit papers to the ISMIS 2024 Industry Session. The session is part of the ISMIS 2024 conference, which will be organized on June 17th – 19th, 2024.

SCOPE AND OBJECTIVES 
**************************
The session will be devoted to the applications of various intelligent methods, algorithms, and tools related to Artificial Intelligence and Big Data in industry. The aim of this session is to create a forum for exchange of ideas between the leading researchers and industry practitioners. Submissions should address practical problems and/or business applications and should be innovative. Architectures, tools, and practical implementations related to the topics described below are also of interest to this session.

TOPICS OF INTEREST 
********************
Topics of interest include (but are not limited to) the following:
 
Applications of Intelligent Information Systems 
Big Data 
Cloud Computing 
Context-aware Computing 
Cybersecurity
Exploratory Data Analysis 
Knowledge Discovery and Data Mining 
Knowledge Visualization 
Aerospace Applications
Medical Applications and Bioinformatics 
Mobile Applications and Collaborative Mobile Space 
New Approaches to Database and Knowledge Management Systems 
Spatial Data Analysis 
Recommendation Systems
Social Networks  
Web Technologies

PAPER SUBMISSIONS 
*****************
Authors are invited to submit their original unpublished papers that demonstrate current research on one of the session topics of interest.
Industry session papers should be prepared in PDF using the Springer LNCS/LNAI style (10-15 pages) and submitted via https://easychair.org/account/signin_timeout?l=rgR3dQtxyNWUqAUu6l6JBK
All submitted papers will be reviewed by ISMIS PC members.

PUBLICATION OF PAPERS 
*************************
Accepted papers will be published in the edited post-conference book in the Springer Series Studies in Computational Intelligence.

IMPORTANT DATES 
***********************

Paper Submission
February 19, 2024 (*** New Extended Deadline ***)
Notification of Acceptance
March 15, 2024
Camera-ready version
March 31, 2024
Author registration/payment deadline
March 31, 2024
Non-author early registration/payment deadline
April 30, 2024
Non-author late registration/payment deadline
May 31, 2024
ISMIS’2024 conference date
June 17-19, 2024

INDUSTRY SESSION CO-CHAIRS 
******************************
Brice CHARDIN, LIAS, ISAE-ENSMA, Poitiers France
Yannig Goude, Senior Researcher EDF Lab Saclay, Palaiseau, France

PROGRAM COMMITTEE (Industry Session) 
****************************************
………… (to be completed) ………………..

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Date : 2024-06-18 => 2024-06-20
Lieu : Rennes, France

Save the date! The ACM Conference on Reproducibility and Replicability will take place on:

June 18-20, 2024 at INRIA, Rennes, France
This will be a hybrid event – remote participation is welcome.
https://acm-rep.github.io/2024

About ACM REP
The 2024 ACM Conference on Reproducibility and Replicability (ACM REP ‘24) aims to bring together experts and practitioners engaged in the advancement and conduct of reproducible science in computing disciplines.

What’s next?
The call for paper will open soon, the deadline for paper submission will be: January 29, 2024.

For more info: https://acm-rep.github.io/2024

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Annonce en lien avec l’Action/le Réseau :

Thème :

Exploitation de données massives

Présentation :

L’école thématique CNRS MDD « Masses de données distribuées » est une école thématique récurrente ayant lieu tous les deux ans depuis 2010. Cette école est une émanation de la communauté des bases de données en France, structurée autour de la conférence BDA : Gestion de données – principes et applications, qui a fêté ses 30 ans d’existence en 2016. Si notre conférence est le lieu de rencontre de notre communauté, l’école thématique MDD permet d’exposer en détails des thèmes fondamentaux pour la compréhension de l’évolution de notre domaine de recherche, et de préparer les doctorant(e)s à suivre – et provoquer – ses évolutions.

Du : 2024-06-23

Au : 2024-06-28

Lieu : Ceillac

Site Web : https://cedric.cnam.fr/lab/confs/mdd2024/

Date : 2024-06-23 => 2024-06-27
Lieu : Ceillac-en-Queyras

The thematic school ‘Masses de Données’ (MDD) originates from the research community in databases. Its aim is to strengthen the educational component (tutorials) within an independent event, leading to the creation of the MDD summer-school.
Our thematic school aims to shed light on various societal issues by inviting experts from various computer science and legal disciplines. The general theme, “Responsible data management,” will be divided into the following 5 axe.

Please join us with the provided link.

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Date : 2024-06-24 => 2024-07-01
Lieu : INSA de Rouen (76)

Les graphes sont au cœur de nombreuses thématiques de recherche ou apparaissent spontanément dans des projets où on ne les attendaient pas. Le traitement de ces objets peut mobiliser plusieurs domaines de recherche tels que la théorie des graphes, la modélisation de données sémantiques ou dynamiques, le traitement de données définies sur des graphes ou l’apprentissage de données définies sur ou par des graphes. Cette apparente disparité d’approches cache toutefois une utilisation de nombreux outils communs (e.g. plus grand sous graphe commun, pattern de graphes, métrique sur graphe…). L’objectif de la formation est de fournir une vue d’ensemble des approches détaillées ci-dessous pour fournir une vue d’ensemble du traitement de données sur graphes et permettre des échanges fructueux entre communautés scientifiques.

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Date : 2024-06-25 => 2024-06-28
Lieu : Lyon, France

————————–
DEBS 2024 Joint Conference
25th – 28th June, 2024
Lyon, France
https://2024.debs.org
————————–

DEBS 2024 Call for Participation

The ACM International Conference on Distributed and Event-Based Systems (DEBS) is a premier venue for academia and industry to discuss cutting-edge research of distributed and event-based computing and data processing. DEBS 2024 will be a forum dedicated to the dissemination of original research, the discussion of practical insights, and the reporting of experiences relevant to distributed and event-based systems.

The DEBS conference covers topics in distributed and event-based computing for a wide range of application domains and computing environments. The conference aims to present novel solutions for collecting, detecting, processing, analyzing, and responding to events through distributed middleware, systems, and platforms.

Topics covered by the conference include, but are not limited to
* models, architectures, and paradigms
* systems and software
* applications and use-cases
of distributed and event-based computing and data analysis.

The conference is held in Lyon, the culinary heart of France. The city enchants with its rich history and stunning beauty. Its UNESCO-listed Old Town, Vieux Lyon, features cobblestone streets and Renaissance architecture. The Basilica of Notre-Dame de Fourvière offers breathtaking city views, while the expansive Parc de la Tête d’Or provides a serene retreat with gardens and a lake. Lyon’s charm lies in its blend of culture, gourmet cuisine, and picturesque scenery.

Registration

The registration website is available at https://www.ecolloque.com/debs-2024/en/new/
More details on registration prices and cancellation can be found in on the website page (https://2024.debs.org/registration/).

Conference: June 25-28th, 2024

**Organisers**

General chairs
* Angela Bonifati
* Riccardo Tommasini
PC chairs
* Avrilia Floratou, Microsoft
* Tilmann Rabl, HPI

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Date : 2024-07-01 => 2024-07-05
Lieu : Campus SophiaTech (Polytech Sophia Antipolis) du 1er au 5 juillet 2024

La Deep Learning School est de retour après 2 années de pause.

Comme lors des précédentes éditions, la Deep Learning School se déroulera pendant 5 jours sur le Campus SophiaTech (Polytech Sophia Antipolis) du 1er au 5 juillet 2024.

Chaque jour, une demi-journée sera consacrée à un cours par une chercheuse ou un chercheur mondialement reconnu⸱e dans le domaine du Deep Learning, et l’autre demi-journée à un Lab de 3 heures au cours duquel les notions abordées en cours seront appliquées directement.

Pendant ces cinq jours, les participant⸱e⸱s auront l’opportunité d’être formé⸱e⸱s par des experts de renommée mondiale :
– Lundi 1er juillet : IA interprétable par la Pr Cynthia Rudin, Duke University (USA)
– Mardi 2 juillet : NLP & Frugal AI par la Pr Emma Strubell, Carnegie Mellon University (USA)
– Mercredi 3 juillet : IA responsable et équité par la Pr Golnoosh Farnadi, Université McGill et Mila (Canada)
– Jeudi 4 juillet : IA et physique/simulation numérique par le Pr Amir Barati Farimani, Université Carnegie Mellon (États-Unis)
– Vendredi 5 juillet : Modèles fondation – Des images au langage et vice versa, par le Pr Matthieu Cord, Sorbonne Université, directeur scientifique de Valeo AI.

Vous trouverez toutes les informations relatives à ces spécialistes et à leurs interventions sur notre site web : https://3ia.univ-cotedazur.eu/deep-learning-school/homepage

Vous pourrez vous inscrire ici : https://3ia.univ-cotedazur.eu/deep-learning-school/registration

Nous vous attendons nombreuses et nombreux.
L’équipe de la Deep Learning School @UniCA

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Annonce en lien avec l’Action/le Réseau :

Thème :

IA ; Imagerie Médicale

Présentation :

Cette école d’été s’adresse aux chercheurs débutants ou plus expérimentés en imagerie médicale, souhaitant approfondir leurs connaissances en apprentissage automatique et son application à de multiples problèmes dans ce domaine. Le programme inclut diverses présentations d’experts (15h au total) couvrant les bases de l’apprentissage automatique, les réseaux de neurones en apprentissage profond, de même que des sujets plus avancés tels que les modèles génératifs, l’adaptation de domaine, l’apprentissage faiblement supervisé et les modèles fondateurs. Les participants pourront également mettre en pratiques les concepts présentés à l’école grâce à 4 séances hands-on de 3h chacune.

Du : 2024-07-08

Au : 2024-07-12

Lieu : École de technologie supérieure (ÉTS) de Montréal, Canada

Site Web : https://event.fourwaves.com/dlmi2024

Date : 2024-07-08 => 2024-07-11
Lieu : HEC Paris, Jouy-en-Josas

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Date : 2024-07-22 => 2024-07-26
Lieu : Saint-Étienne

*Call for Participation 2024 Summer School on AI Technologies for Trust, Interoperability, Autonomy and Resilience in Industry 4.0*

We invite PhD students, academics, and researcher staff from academia and industry to apply to the Summer School on AI Technologies for Trust, Interoperability, Autonomy and Resilience in Industry 4.0 (henceforth AI4Industry).

The summer school aims to teach the state of the art of the use of AI technologies and models to tackle the challenges of data revolution and to increase automation of cognitive tasks to develop a trustful and resilient Industry 4.0 (or Industry of the Future). The summer school is organized around concrete industry problems structured as use cases. These use cases aim to stimulate the discussion at the academic institutions toward addressing real-world problems and to showcase innovative solutions to industrial partners.

During the summer school, participants attend lectures of AI technologies and carry out practical exercises dedicated to applying these technologies to solve concrete industry problems. The summer school addresses various aspects of AI in Industry with a particular emphasis on:

* Web of Things
* Knowledge Graphs
* Multi-Agent Systems
* Trustworthy and Responsible AI

Half of the summer school is dedicated to practical work (through a hackathon) while the other half is meant to introduce the theoretical foundations underlying the hackathon’s framework.

The AI4Industry Summer School series website provides more information about the summer school.

*Important Dates*

* *Application on a rolling basis*: until June 15, 2024
* *Notification*: 2 weeks after application submission
* *Summer School*: July 22-26, 2024

*Contact *

contact-ai4industry@listes.emse.fr

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Date : 2024-07-30 => 2024-08-02
Lieu : Vienne Autriche

The 5th International Workshop on Graph-based Approaches for CyberSecurity to be held in conjunction with the 19th International Conference on Availability, Reliability and Security
Vienna, Austria
July 30 – August 02, 2024

Topics of interest include, but are not limited to

Knowledge graphs and ontologies of cyberspaces and digital twins
Attack graphs modeling and application, graph-based threat assessment
Graph-based models for network modeling and cyber situational awareness
Graph-based approaches to network traffic analysis and forensics
Intrusion, anomaly, and botnet activity detection using graph data
Graph-based anomaly detection for network security and management
Graph application in access controls, security policies
Graph-based malware detection
Autoencoders and representation learning for graphs and knowledge graphs
Graph embedding techniques for network security and management problems
Graph databases and graph-based tools for security data analysis
Visualization and analysis of dynamic large-scale graphs and graph streams
Novel applications of static/dynamic and large graphs in network security and management

IMPORTANT DATES
Submission Deadline: April 29, 2024
Author Notification: May 29, 2024
Proceedings Version: June 18, 2024
Workshop days: July 30 – August 02, 2024

The submission guidelines valid for the workshop are the same as for the ARES conference. They can be found at https://www.ares-conference.eu/conference/submission/.

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Date : 2024-08-05
Lieu : Co-localisé avec la conférence IJCAI 2024, île de Jeju, Corée du Sud

Call For Papers

The 3^rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) will take place in Jeju, South Korea, collocated with IJCAI 2024.

Website: https://www.lirmm.fr/strl2024/

Introduction

Opposing the false dilemma of logical reasoning vs machine learning, we argue for a synergy between these two paradigms in order to obtain hybrid AI systems that will be robust, generalizable, and transferable.

Indeed, it is well-known that machine learning only includes statistical information and, therefore, is not inherently able to capture perturbations (interventions or changes in the environment), or perform reasoning and planning. Ideally, (the training of) machine learning models should be tied to assumptions that align with physics and human cognition to allow for these models to be re-used and re-purposed in novel scenarios.

On the other hand, it is also the case that logic in itself can be brittle too, and logic further assumes that the symbols with which it can reason are already given.

It is becoming ever more evident in the literature that modular AI architectures should be prioritized, where the involved knowledge about the world and the reality that we are operating in is decomposed into independent and recomposable pieces, as such an approach should only increase the chances that these systems behave in a causally sound manner.

You may find details about previous editions of this workshop via the links below:

• STRL 2023
• STRL 2022

The aim of this workshop is to formalize such a synergy between logical reasoning and machine learning that will be grounded on spatial and temporal knowledge.

We argue that the calculi associated with the spatial and temporal reasoning community, be it qualitative or quantitative, naturally build upon physics and human cognition, and could therefore form a module that would be beneficial towards causal representation learning. A (symbolic) spatio-temporal knowledge base could provide a dependable causal seed upon which machine learning models could generalize, and exploring this direction from various perspectives is the main theme here.

Topics

In this workshop, we invite the research community in artificial intelligence to submit works related to the proposed integration of spatial and temporal reasoning with machine learning, revolving around the following topic areas:

• Real-world problems / applications involving spatio-temporal data
• Spatial, temporal, and spatio-temporal knowledge graphs
• Spatio-temporal data mining / analysis
• Space and time in narratives
• Declarative spatial reasoning
• Spatial and temporal language understanding with and without additional modalities (e.g., vision)
• Neuro-symbolic approaches for spatio-temporal reasoning and learning
• Probabilistic world models for spatio-temporal reasoning and learning
• Probabilistic inference for spatio-temporal reasoning and learning
• Datasets for spatio-temporal reasoning and learning
• Metrics for assessing spatio-temporal reasoning and learning methods
• Limitations in machine learning for spatio-temporal reasoning and learning; how far can machine learning go?
• Relation between causal reasoning and spatial and temporal reasoning
• Research and teaching challenges in spatio-temporal reasoning and learning

The list above is by no means exhaustive, as the aim is to foster the debate around all aspects of the suggested integration.

Application domains being addressed include, but are not limited to:

• Autonomous Vehicles and Drones
• Cognitive Robotics
• Spatial Computing for Design
• Computational Art
• (Cognitive) Vision
• Geographic Information Systems
• Smart Environments
• Healthcare

Submission

The submission link is available at: https://easychair.org/conferences/?conf=strl2024

Papers should be formatted according to the CEUR-ART style formatting guidelines here and submitted as a single PDF file.

We welcome submissions across the full spectrum of theoretical and practical work including research ideas, methods, tools, simulations, applications or demos, practical evaluations, and surveys.

Submissions that are 2 pages long (excluding references and appendices) will be considered for a short presentation, and submissions that are between 4 and 7 pages long (again, excluding references and appendices) will be considered for a regular presentation.

All papers will be peer-reviewed in a single-blind process and assessed based on their novelty, technical quality, potential impact, clarity, and reproducibility (when applicable).

Be mindful of the following dates:

• April 26, 2024: Workshop paper submission deadline
• May 31, 2024: Paper acceptance/rejection notification date
• June 7, 2024: Camera-ready submission deadline
• August 5, 2024: Workshop Date

Note: all deadlines are AoE (Anywhere on Earth).

Proceedings

The accepted papers will appear on the workshop website. We also intend to publish the workshop proceedings with CEUR-WS.org; this option will be discussed with the authors of accepted papers and is subject to the CEUR-WS.org preconditions. We note that, as STRL 2024 is a workshop, not a conference, submission of the same paper to conferences or journals is acceptable from our standpoint.

Workshop Organizers

• Parisa Kordjamshidi, Michigan State University, US (co-chair) https://www.cse.msu.edu/~kordjams/
• Jae Hee Lee, University of Hamburg, Germany (co-chair) https://jaeheelee.gitlab.io/
• Mehul Bhatt, Örebro University, Sweden (co-chair) https://mehulbhatt.org/
• Michael Sioutis, University of Montpellier, France (co-chair) https://msioutis.gitlab.io/
• Zhiguo Long, Southwest Jiaotong University, Chengdu, China (co-chair) https://zhiguolong.github.io/

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Date : 2024-08-26 => 2024-08-30
Lieu : Lyon, France

Conference EUSIPCO 2024, in Lyon (France) on August 26th-30th.

https://eusipcolyon.sciencesconf.org

Important dates: Special Session proposals: Jan 14, 2024 / Submission of Tutorial proposals: March 1, 2024 / Full paper submisson: March 3, 2024

—-

(english version at the end)

—

Cheres et chers collègues,

Au nom de l’Association européenne pour le traitement du signal (EURASIP), le comité d’organisation a le grand plaisir de vous inviter à la 32ème conférence européenne sur le traitement du signal, EUSIPCO 2024, qui se tiendra à Lyon, en France, du 26 au 30 août 2024.

EUSIPCO est la conférence phare d’EURASIP et propose un programme technique complet abordant tous les derniers développements de la recherche et de la technologie en traitement du signal. L’édition 2024 EUSIPCO rassemblera des conférenciers de premier plan du monde entier, et comprendra des sessions orales et affichées, des sessions plénières, des tutoriels et des workshop satellites. EUSIPCO2024 devrait attirer de nombreux chercheurs tant universitaires que de l’industrie. EUSIPCO 2024 prendra également une couleur particulière en mettant l’accent sur la recherche interdisciplinaire engagée vers les grands défis sociétaux.
Les orateurs principaux et les sessions spéciales seront choisis pour mettre l’accent sur ces enjeux.

L’appel à contributions est désormais disponible à l’adresse suivante
https://eusipcolyon.sciencesconf.org
https://eusipcolyon.sciencesconf.org/data/Eusipco2024_Call4Contributions.pdf

Merci de noter les dates importantes et ne pas hésiter pas à transmettre l’information à toute personne susceptible d’être intéressée par une contribution au programme scientifique d’Eusipco24 :

Special Session proposals: Jan 14, 2024
Submission of Tutorial proposals: March 1, 2024
Full paper submisson: March 3, 2024
Nous nous réjouissons de recevoir votre contribution et de vous accueillir à Lyon pour Eusipco24.

Le Comité d’Organisation d’Eusipco24
https://eusipcolyon.sciencesconf.org

Patrice Abry et Maria Sabrina Greco, General Chairs

—

Dear Colleagues,

On behalf of the European Association for Signal Processing (EURASIP), it is a great pleasure of the organizing committee to invite you to the 32nd European Signal Processing Conference, EUSIPCO 2024, to be held in Lyon, France, August, 26th-30th, 2024.

EUSIPCO is the flagship conference of EURASIP and offers a comprehensive technical program addressing all the latest developments in research and technology for signal processing. EUSIPCO 2024 will feature world-class speakers, oral and poster sessions, plenaries, exhibitions, demonstrations, tutorials, and satellite workshops, and is expected to attract many leading academic researchers and people from industry from all over the world. EUSIPCO 2024 will also have a specific flavour with a focus on interdisciplinary research geared toward major societal challenges. This will be highlighted by keynote speakers and special sessions.

The call for contributions are now available from
https://eusipcolyon.sciencesconf.org
https://eusipcolyon.sciencesconf.org/data/Eusipco2024_Call4Contributions.pdf

Please note the important dates and do not hesiatte to forward the information to any person that could be interested in contributing to Eusipco24 scientific program:

Special Session proposals: Jan 14, 2024
Submission of Tutorial proposals: March 1, 2024
Full paper submisson: March 3, 2024

We look forward to hosting your contribution and to welcoming you in Lyon for the Eusipco24.

Eusipco24 Organization Committee
https://eusipcolyon.sciencesconf.org

Patrice Abry et Maria Sabrina Greco, General Chairs

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Date : 2024-08-28
Lieu : Bayonne, France

****************************
CALL FOR PAPERS
DOING 2024: 5th International Workshop on Intelligent Data – From Data to Knowledge
****************************
August 28, 2024
Bayonne, France

In conjunction with ADBIS 2024

DOING@ADBIS 2024

Home – Technology Event

******************
IMPORTANT DATES
******************
Paper submission: 29 April, 2024 at 5 a.m. CET
Notification of acceptance: 8 June , 2024
Camera-ready due: 18 June , 2024
Workshop day: 8 August , 2024

******************
SUBMISSIONS
******************
DOING workshop accepts short (limited to 6-8 pages) and long (limited to 12 pages) papers. DOING reserves the right to accept as short papers those submitted as long, describing interesting and innovative ideas but still requiring further technical development. Papers should be written in English, formatted in Latex and present substantially original results. We adopt a double blind review policy: the papers submitted for review MUST NOT contain the authors’ names, affiliations, or any information that may disclose the authors’ identity. Authors should consult Springer’s authors’ guidelines and use their proceedings templates (you can download the templates available on the bottom of that page).

The workshop papers will be published by Springer in Communications in Computer and Information Science (CCIS). The authors of selected workshop papers will be invited to submit an extended version of their contributions to a special issue of an international journal.

ADBIS 2024 continues to participate in the Diversity and Inclusion (D&I) initiative of the Database community aiming to guide researchers in our community to adopt a more inclusive mindset in general toward different individuals.

**** Papers must be submitted via EASY CHAIR: https://easychair.org/conferences/?conf=adbis2024

******************
AIMS AND SCOPE
*******************

The workshop focuses on transforming data into information and then into knowledge. The idea is to gather researchers to discuss two main problems :

how to extract information from textual data and represent it in knowledge bases;
how to propose intelligent methods for handling and maintaining these databases with new forms of requests, including efficient, flexible, and secure analysis mechanisms, adapted to the user, and with quality and privacy preservation guarantees.

******************
TOPICS OF INTEREST
******************

We invite the submission of work-in-progress that address various aspects of information extraction from textual data, intelligent and efficient interrogation, and maintenance of (large) knowledge bases. The workshop welcomes submissions of theoretical, technical, experimental, methodological papers, application papers, position papers and papers on experience reports addressing – though not limited to – the following topics:

Artificial intelligence in databases and information systems
Data curation, annotation, and provenance
Data management and analytics
Data mining and knowledge discovery
Data models and query languages
Data quality and data cleansing
Data science (theory and techniques)
Context-aware and adaptive information systems
Constraints extraction from text
Natural language processing
Indexing, query processing and optimization
Information and knowledge extraction
Information integration
Information quality
Graph databases
Knowledge bases (querying, management, evolution and dynamics)
Machine learning for knowledge graph construction, completion, refinement
Machine learning for knowledge and information extraction, for instance, named entity disambiguation, sentiment analysis, relation extraction, or the detection of claims, facts and stances from unstructured documents
Machine Learning in NLP
Management of large volumes of data
Methodologies, models, algorithms, and architectures for applied data science
NLP for Digital Humanities
NLP & Knowledge Graphs
Privacy, trust and security in databases
Query processing and optimization
Question answering over knowledge graphs
Text databases

Preferred Application Domains (but not limited to).

Bio-sciences and healthcare
Environmental issues

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Annonce en lien avec l’Action/le Réseau :

Thème :

Techniques d’apprentissage machine pour l’analyse de données d’observation de la Terre

Présentation :

The MACLEAN workshop is hel in conjonction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). The objective of this workshop is to supply an international forum where machine learning researchers and domain-experts can meet each other, in order to exchange, debate and draw short and long term research objectives around the exploitation and analysis of Earth Observation data via Machine Learning techniques.

Du : 2024-09-09

Au : 2024-09-09

Lieu : Vilnius, Lituanie

Site Web : https://sites.google.com/view/maclean24

Date : 2024-09-30 => 2024-10-03
Lieu : Toulouse, France

Dear all,

We are happy to announce the AISSAI Heterogeneous Data and Large Language Representation Models in Science Workshop that will be held in Toulouse (France) from September 30 to October 3, 2024.

We look forward to seeing you there.

Catherine Biscarat, Sylvain Caillou, Jan Stark, on behalf of the organizers

 

AISSAI Heterogeneous Data and Large Representation Models in Science Workshop

Toulouse (France), September 30 – October 3 2024

 FIRST ANNOUNCEMENT

 
 
 
The third workshop of the AISSAI trimester on “Artificial Intelligence for the two infinites” will be held in Toulouse (France) from September 30th to October 3rd, 2024. This workshop will be devoted to Heterogeneous Data and Large Representation Models in Science. 

This event is sponsored by the CNRS AISSAI center and hosted by the Laboratoire des 2 Infinis – Toulouse (L2IT).

Please find complete information on the scientific program, call for abstracts and registration on the workshop’s Indico website. Registration is free (but mandatory) and includes lunches and social events.

Scientific program

In recent years, we have witnessed remarkable transformations in the AI/ML landscape. Particularly in computer vision and natural language processing, there is a notable emergence of Large Representation Models (LRMs) trained on extensive datasets, often referred to as foundation models. These LRMs possess the capability to encode information at a high level of abstraction, enabling the training of models on multimodal data such as text, image, sound, video, and more. This improvement in how models represent objects augments significantly their ability to understand and make sense of the world.

In the realm of science, we expect a similar revolution, triggered by the integration of heterogeneous multimodal scientific data from various sensor systems or sources into LRMs. Scientific data are often heterogeneous and multimodal in nature, originating from various sensors in embedded systems (robotics, aerospace), from different detector subsystems or different instruments in fundamental physics, or from different signal sources in a scientific experiment in general. The models can combine representations from neural networks with symbolic representations integrating a priori knowledge of the scientific domain.

The aim of this workshop is to bring together scientists from different fields (just to list a few: computer sciences, cosmology, human sciences, mathematics, physics, robotics, statistics, etc.) and with different profiles (experimentalists, theorists, developers) to discuss these topics at the forefront of AI/ML research, fostering collaboration and innovation in this rapidly evolving field. 

The program is planed to be a mix of high-profile guest speaker presentations and contributed talks.

This workshop will delve into a range of topics, which include but are not limited to:

• Constructing machine learning models capable of learning from diverse data types.
• Managing multimodal data from varied sources, or heterogeneous data from scientific instruments that combine multiple detector technologies, for ML applications.
• Investigating contrastive embeddings tailored for heterogeneous and multi-modal scientific data alongside shared embedding representations.
• Exploring the integration of neuro-symbolic AI and multi-level representations.
• Mathematical modeling of combined representation.
• Exploring explainability and interpretability of Large Representation Models in the scientific context.
• Embracing frugality and size management in Large Representation Models.
• Possibly on a longer timescale, exploring numerical encodings for large language representations in scientific contexts. 

Website (Indico)

https://indico.in2p3.fr/event/33412/

Important dates

These dates may change.

• Registration opening: open now
• Abstract submission opening: open now
• Abstract submission dead-line: August 15th
• Abstract acceptance dead-line: August 31th
• Program release: September 7th
• Registration closing: September 15th
• Workshop start: September 30th

Scientific advisory committee

Sylvain Caillou (L2IT, IN2P3, CNRS/UT3) – chair
Alexandre Boucaud (APC, IN2P3, CNRS)
Tobias Golling (Université de Genève)
François Lanusse (Polymathic AI)
Daniel Murnane (Copenhagen University)
Thomas Oberlin (ISAE-SUPAERO, ANITI, Université Paul Sabatier)
Jan Stark (L2IT, IN2P3, CNRS/UT3)
Gordon Watts (Washington University)

Local organisation committee

Catherine Biscarat (L2IT, IN2P3, CNRS/UT3) – chair
Sylvain Caillou (L2IT, IN2P3, CNRS/UT3)
Jocelyne Gauthier (L2IT, IN2P3, CNRS/UT3)
Jan Stark (L2IT, IN2P3, CNRS/UT3)
Jeanette Thibaut (L2IT, IN2P3, CNRS/UT3)

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