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

Thème :

Machine learning and computer vision in earth observation: scientific results versus industrial needs

Présentation :

In the framework of the CAp and RFIAP conferences, a workshop on machine learning and computer vision issues in the context of earth observation is planned for Tuesday 5 July. This workshop will be organised with the support of the MACLEAN action of the GDR MADICS, which aims to bring together the environmental and data science communities. More precisely, the objective of the day will be to cross-reference the needs and expectations of industrialists in the field with the work of academic research laboratories. In doing so, the workshop will aim to raise awareness of the potential of the latest academic scientific developments, to confront them with industrial realities, but also to identify scientific issues that companies are facing and for which research work needs to be undertaken.

The day will consist of invited presentations (academic and industrial), round tables, and a poster/demonstration session.

Du : 2022-07-05

Au : 2022-07-05

Lieu : Vannes

Site Web : https://caprfiap2022.sciencesconf.org/page/maclean

Date : 2022-07-07 => 2022-07-08
Lieu : Marseille, Campus saint-Charles

ComSciCon France, le workshop gratuit de formation à la communication scientifique à destination des doctorant·es de toutes disciplines, revient pour une 3ème édition les 7 et 8 juillet 2022 à Marseille, campus Saint-Charles.

Depuis 2020, deux premières éditions françaises se sont déroulées avec succès, rassemblant des intervenant·es et des doctorant·es des quatres coins de France. Ce workshop centré sur la pratique et l’interactivité (prise de parole en public, tables rondes, session d’écriture, ateliers vidéo/podcast/médiation…) fait appel à des acteurs et actrices reconnus de la communication scientifique. Durant les 2 jours du workshop, 40 doctorant·es tisseront des liens et développeront les outils nécessaires pour établir de nouveaux dialogues science-société.

Avec un projet de vulgarisation déjà en tête ou par simple curiosité, venez échanger avec les autres doctorant·es et nos intervenant·es. Une aventure unique vous attend !

Les candidatures seront ouvertes du 1er mars au 1er avril.

Plus d’informations sur https://france.comscicon.com !

Lien direct

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

Thème :

Gestion et intégration de données agronomiques, phénotypiques et environnementales

Présentation :

Rendre accessibles, exploitables et réutilisables les jeux de données issues d’expérimentation en milieu naturel ou agricole est un enjeu majeur pour les sciences environnementales. Leur structuration et leur interconnexion impliquent d’assurer l’indexation et l’exposition des contenus disponibles dans des ressources distribuées, mais aussi de développer des méthodes pour l’extraction et la visualisation des informations. Dans ce symposium, nous aborderons les différents aspects (ressources, systèmes d’information, ontologies, indexation, intégration, collecte) permettant de faciliter l’exploitation de ces données par les (bio-eco)informaticiens.

Du : 2022-07-07

Au : 2022-07-07

Lieu : Campus Beaulieu, Université de Rennes 1

Site Web : https://jobim2022.sciencesconf.org/page/minisymposiums

Date : 2022-07-19 => 2022-07-23
Lieu : Porto, Portugal

17th Conference of the International Federation of Classification Societies

Conference topics

Big Data • Biplots • Clustering, Classification and Discrimination • Compositional Data Analysis • Computer Graphics and Visualization • Data Science • Data Streams • Databases and Data Management • Deep Learning • Dependence Modelling and Copulas • Dimension Reduction • Formal Concept Analysis • Functional Data Analysis • Generalized Linear Models • Image Analysis and Computer Vision • Information-theoretic Statistical Modelling and Model Selection • Knowledge Representation and Discovery • Machine Learning • Mathematical Foundations of Data Science • Matrix Factorization • Meta-learning • Missing Data Handling • Model-based Clustering • Modelling High-Dimensional and Complex Data • Natural Language Processing • Optimization in Classification and Clustering • Robust Methods • Social Network Analysis • Spatial Data Analysis • Statistical and Econometric Methods • Statistical Learning and Data Mining • Symbolic Data Analysis • Text Mining • Time Series Analysis • Web Mining
with Applications on
Archaeology • Biology • Business and Management • Economics • Education • Engineering • Finance • Geosciences • Industry • Linguistics • Marketing • Medicine and Health Care • Musicology • Psychology • Risk Management • Social Sciences

Lien direct

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Date : 2022-08-11 => 2022-08-13
Lieu : Nanjing, China

The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM) is aiming at attracting professionals of different communities related to Web and Big Data, including Web technologies, database systems, information management, software engineering and big data.The year 2022 marks the 6th anniversary of APWeb-WAIM 2022, which will be held in Nanjing, China, 11-13 August, 2022. It is our great pleasure to invite you to contribute papers and participate in this premier annual event.With the increased focus on Big Data, the new joint conference is expected to attract more professionals from different industrial and academic communities, not only from the Asia Pacific countries but also from other continents.

Important Dates

• Abstract submission: March 15, 2022
• Full paper submission: March 22, 2022
• Acceptance Notification: May 23, 2022
• Camera Ready: June 6, 2022
• Conference Date: August 11-13, 2022

Topics of Interest, but not limited to

• Advanced database and Web applications
• Big data analytics
• Big data management
• Big data management and analytics
• Blockchain data management and applications
• Cloud computing
• Cloud computing
• Crowdsourcing
• Data and information quality
• Data management in edge computing
• Data management on new hardware
• Data mining
• Data provenance and workflow
• Data warehousing and OLAP
• Graph data management, Metadata, RDF, social networks
• Information extraction
• Information integration and heterogeneous systems
• Information management in Meta-verse
• Information retrieval
• Knowledge graph
• Machine Learning
• Multimedia information systems
• Parallel and distributed data management
• Query processing and optimization
• Recommender systems
• Security, privacy, and trust
• Semantic Web and ontology
• Service computing
• Spatial and multi-media data
• storage and indexing
• Streams, complex event processing
• Text database
• Uncertain data
• Web advertising and community analysis
• Web information quality and fusion
• Web search and meta-search
• Web service management

Authors should submit papers reporting original work that are currently not under review or published elsewhere. Accepted papers will be published in the conference proceedings, which will be published as a volume of Springer’s Lecture Notes in Computer Science (LNCS)series.

Paper Submission

All papers should be submitted through the Conference Management Tool at: https://cmt3.research.microsoft.com/APWEBWAIM2022
Submissions must be written in English and not exceed 15 pages in LNCS format, including references. All submissions must be in PDF format. Authors should avoid the use of non-English fonts to avoid problems with printing and viewing the submissions.

Submitted papers will undergo a double-blind reviewing process. The PC members and referees who review the paper will not know the identity of the authors. To ensure anonymity of authorship, authors must prepare their manuscript as follows:
Authors’ names and affiliations must not appear on the title page or elsewhere in the paper.
Funding sources must not be acknowledged on the title page or elsewhere in the paper.
Research group members, or other colleagues or collaborators, must not be acknowledged anywhere in the paper.
The paper’s file name must not identify the authors of the paper. It is strongly suggested that the submitted file be named with the assigned submission number. For example, if your assigned paper number is 386, then name your submission file 386.pdf.
Source file naming must also be done with care, to avoid identifying the authors’ name in the paper’s associated metadata. For example, if your name is Jane Smith and you submit a PDF file generated from a .dvi file called Jane-Smith.dvi, your authorship could be inferred by looking into the PDF file.
It is the responsibility of authors to do their very best to preserve anonymity. Papers that do not follow the above GUILDLINES, or otherwise potentially reveal the identity of the authors, are subject to desk rejection.

Recommendation to Journal

A number of best papers accepted at APWeb-WAIM 2022 will be recommended to a set of SCI indexed journals, including World Wide Web Journal (IF 2.716, JCR Q2), Knowledge-based Systems (IF 8.038, JCR Q1), Big Data Research (IF3.578, JCR Q1), and Journal Data Science Engineering.

Lien direct

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Date : 2022-08-29 => 2022-09-02
Lieu : SCAI, Sorbonne Université, Paris, France.

Dear colleagues,

We are pleased to announce the ML4Oceans Summer School 2022, to be held from August 29th to September 2nd 2022 at SCAI/Sorbonne University in Paris, France.

The use of artificial intelligence is now crucial for environmental and climate issues, including oceanography. In this context, SCAI (https://scai.sorbonne-universite.fr/) , ISCD (https://iscd.sorbonne-universite.fr/), and the Institut de l’Océan (https://institut-ocean.sorbonne-universite.fr/en) of Sorbonne Université joined their forces to offer a transdisciplinary summer school for PhD and post-doctoral students. 20 students will be selected according to their academic background, their research subject & their motivation to participate in this school.

The objective: to acquire knowledges and skills in AI applied to oceanography (marine biology – omics, imagery -, physics, modeling, etc.)

Registration is open here until May 31st 2022:
https://framaforms.org/ml4oceans-summer-school-pre-registration-1647261215

Please do not hesitate to forward this announcement to any colleague who could be interested and sorry in advance for any cross-posting.

Provisional program (courses in English) :

Monday August 29: programming reminders and quick introduction
Tuesday August 30: biology-environment link (genomics, gradient boosting, distribution models). L Bittner & JO Irisson
Wednesday August 31: Derivation of poorly observed variables (satellite images of water color, SOM, filling by CNN). C Jamet & A Charantonis
Thursday September 1: Image classification (plankton images, CNN, vision transformers). JO Irisson, M Cord & H Touvron
Friday September 2: Dynamic modeling (marine ecosystem models, AI-informed physics). SD Ayata & P Gallinari.

Speakers:
Sakina-Dorothée Ayata, LOCEAN, SU
Lucie Bittner, ISYEB, SU
Anastase Charantonis, ENSIIE
Matthieu Cord, LIP6, SU
Patrick Gallinari, SU/Criteo AI Lab
Jean-Olivier Irisson, LOV, SU
Cédric Jamet, LOG, ULCO
Hugo Touvron, Facebook AI Research

Lien direct

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Date : 2022-08-29 => 2022-09-02
Lieu : Saarbrücken, Germany

*******************************************************************
Second Inria-DFKI European Summer School on AI (IDESSAI 2022)

Trusted AI and Sustainable AI

Saarbrücken, Germany
August 29th – September 2nd, 2022

Second Inria-DFKI European Summer School on AI (IDESSAI 2022)

Registration deadline: May 9th, 2022

*******************************************************************

IDESSAI 2022 is the second yearly Summer School organized by the two renowned German and French AI institutes, DFKI and Inria. It stands out from the crowd of offerings for AI students in several aspects:

We ensure a good balance in the number of participants and instructors: participants will have the opportunity to join a community of like-minded people, and, at the same time, they will be in close contact with the experts.
Our program features a line-up of courses focused on two themes, Trusted AI, and Sustainable AI, which are at the forefront of socio-economic issues related to AI.
On top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer, IDESSAI 2022 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators.
Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions.
Trusted AI and AI Sustainable AI will take place in two parallel tracks. There will be plenty of opportunities to exchange between these two tracks at coffee breaks, meals, and social events, as well as through joint cross-track sessions.

TARGETED AUDIENCE

IDESSAI 2022 was designed for PhD students in all areas of AI, including machine learning, knowledge representation and reasoning, search and optimisation, planning and scheduling, multi-agent systems, natural language processing, robotics, computer vision, and other areas. PhD students in other fields, MSc students, postdocs, and researchers in academia and industry are also welcome.

VENUE
IDESSAI 2022 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible. Participants will comply with the health and social distancing rules in force at the time of the event.

CONFIRMED SPEAKERS
Cross-track

Titouan Vayer (ENS Lyon) – Less is more? How compressive learning and sketching for large-scale machine works
Sophie Quinton (Inria) – A holistic perspective on IT sustainability
Trusted AI Track:

Martin Georg Fränzle (University of Oldenburg) – AI components for high integrity, safety-critical cyber-physical systems: chances and risks
Michael Luck (King’s College London) – Artificial Intelligence: Towards safety and trust
André Meyer-Vitali (DFKI) – Trustworthy hybrid team decision support
Caterina Urban (Inria) – Formal methods for machine learning
Freddy Lecue (Thales & Inria) – Explainable AI: a focus on machine learning and knowledge graph-based approaches
Oana Goga (CNRS – LIG) – Security and privacy issues with social computing and online advertising
Sustainable AI Track:

Silviu-Ioan Filip (Inria) – Tools for DNN quantization
Olivier Sentieys (Inria) – Hardware accelerators for DNNs
Christoph Lüth (DFKI Bremen) – An introduction to the RISC-V ISA
Richard Membarth (DFKI Saarbrücken & Technische Hochschule Ingolstadt) – Code optimization via specialization
Anne-Laure Ligozat (ENSIIE) – Carbon footprint of AI
Danilo Carastan dos Santos (Inria) – Measuring the energy consumption of AI
Daniel Beutel (Adap) – An Introduction to federated learning with Flower

FEES AND REGISTRATION

Our fees are all-inclusive. Please keep in mind that an accommodation must be organised on your own and paid by your own.

For more details and to register, see https://idessai.eu/registration-2022/ (deadline: May 9th, 2022).

To ensure a good balance in the number of participants and instructors and maximize the chances of interaction, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track.

ORGANIZERS

Co-organized by: Inria, DFKI

Contact us: idessai-support@dfki.de.

Notre site web : www.madics.fr
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Annonce en lien avec l’Action/le Réseau : DOING

Thème :

Databases, Natural Language Processing, Artificial Intelligence

Présentation :

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.

Du : 2022-09-05

Au : 2022-09-05

Lieu : Politenico de Torino

Site Web : https://www.univ-orleans.fr/lifo/evenements/doing/?page_id=820

Date : 2022-09-05 => 2022-09-08
Lieu : Torino, Italy

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

Paper submission: May 3, 2022 at 5 a.m. CET
Notification of acceptance: May 23, 2022
Camera-ready due: June 7, 2022
Workshop day: September 5, 2022

******************
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).

ADBIS 2022 follows a Diversity and Inclusion policy that invites authors to adopt inclusive language in their papers and presentations (https://dbdni.github.io/pages/inclusivewriting.html and https://dbdni.github.io/pages/inclusivetalks.html). We also kindly ask all participants to adopt a proper code on conduct (https://dbdni.github.io/pages/codeofconduct.html).

Accepted papers will be published in the Springer CCIS series and the best papers will be invited to a special issue of the journal Computer Science and Information Systems.

Papers should be submitted in PDF format using the EasyChair online submission system:
https://easychair.org/conferences/?conf=adbis2022
Be careful to select the track of the WORKSHOP DOING: Intelligent Data – From Data to Knowledge.

*******************
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

Lien direct

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Date : 2022-09-14
Lieu : Université Lumière Lyon 2

Les 27èmes Rencontres de la Société Francophone de Classification (SFC) se tiendront du 14 au 16 septembre 2022 à Lyon. Après deux ans d’interruption, ces journées auront lieu en “présentiel”. Ces rencontres ont pour objectifs de présenter des résultats récents et des applications originales en classification sous toutes ses formes, mathématique, informatique et statistique, de favoriser les échanges scientifiques entre ces trois communautés autour de la thématique commune de la classification et de faire connaitre à divers partenaires extérieurs les travaux de ses membres.

L’édition 2022 portera sur les thèmes classiques associés à la classification et à l’analyse de données au sens large. Cette année, le comité de programme souhaite mettre à l’honneur l’analyse de données textuelles (Text Mining) et l’analyse de séries temporelles. Les applications de la classification dans le domaine des sciences du vivant sont vivement encouragées.

Lien direct

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Date : 2022-09-19
Lieu : Online Event

KEY DATES

Paper submission deadline: 20 June 2022
Paper acceptance notification: 13 July 2022
Workshop date: Monday, Septembre 19th, 2022 (to be confirmed)

CONTEXT

After many years of decline, the number and severity of food insecurity situations is growing again in recent years all over the world. Multiple and interrelated reasons can be identified for this generalized rise in hunger situations, that make it challenging to monitor an extremely complex phenomenon such as food security. While great quantities of open data are available, that are related at different levels with food security, there is a urgent need to develop advanced data science techniques able to process this data in order to produce effective answers to food security related problems.

The goal of the Open-SOFOS workshop, to be held in conjunction with ECML/PKDD 2022, is to bring together researchers and practitioners from around the world interested in developing data science techniques for food security related problems, preferably using open access data. Even though the focus is on computer science, the themes of the workshop also encourage interdisciplinary discussion about topics touching different fields such social science, humanities and geography.
This will allow to get an insight in the current status of research in data science for food security, showing how the possibility to exploit massive quantities of open data in this context can make it possible to improve solutions to classic tasks (e.g., the ones addressed by the existing Food Security Systems), but also to focus on research questions and practical problems that have not been deeply investigated so far.

TOPICS

Topics of interest include, but are not limited to:

– Prediction of Food Security Indicators
– Poverty Prediction
– Agricultural Monitoring
– Prediction of Economical Indicators
– Social Media Analysis
– Evolutionary Systems
– Landscape Analysis
– Modeling of Spatial and Social Dynamics
– Mobility Problems
– Complex Network Models for Food Security
– Machine and Deep Learning methods for Food Security
– Text Mining Methods for Food Security
– Heterogeneous Data Integration Methods for Food Security
– KMS for Food Security

SUBMISSION

We welcome original contributions, either theoretical or empirical, describing ongoing projects or completed work.
Contributions can be of two types: either short position papers (up to 6 pages including references) or full research papers (up to 10 pages including references). Papers must be written in LNCS format, i.e., accordingly to the ECML-PKDD 2022 submission format.
Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org).

SUBMISSION WEBSITE:

https://easychair.org/conferences/?conf=opensofos2022

PC-CHAIRS

Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato@cirad.fr
Mathieu Roche, CIRAD, UMR Tetis, Montpellier, France, mathieu.roche@cirad.fr
Giulia Martini, World Food Programme (WFP), Rome, Italy, giulia.martini@wfp.org
Sabrina Gaito, Computer Science Department, University of Milan, Milan, Italy, sabrina.gaito@unimi.it

Lien direct

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Date : 2022-09-23
Lieu : Grenoble

https://graphquality.github.io/

*************************************************************

[Please accept our apologies if you receive multiple copies of this (CFP)]

The GRAPH-QUALITY Workshop at ECML-PKDD 2022 aims to explore the theoretical and practical aspects of quality of data, models and evaluation in the context of graph-based data mining and machine learning. We invite contributions in the area of Data and Model Quality for Mining and Learning with relational data (measures, algorithms, models, tools, evaluations, etc.) to be presented at the GRAPH-QUALITY workshop which is to be held at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), in Grenoble, France – 23 September 2022.

Topics of interests

Anomaly detection on graphs
Assessment of fairness and bias in the context of graphs, graph models (including representations), and subsequent tasks such as link prediction
Explainable graph models and predictions
Graph models and representations learning in the context of missing data and noise
Privacy preserving data mining and machine learning for relational data
Probabilistic methods and uncertainty estimation on networks
Algorithms and metrics for quality preservation on relational data

Submission Information

All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):

Novel research papers
Work-in-progress papers
Vision and position papers
Appraisal papers of existing methods and tools (e.g., evaluations, lessons learned)

Authors should indicate in their abstract the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English and formatted according to the single-column CEUR-ART style (downloadable at http://ceur-ws.org/Vol-XXX/CEURART.zip). Novel research papers should be 10 to 16 pages (including references), work-in-progress, vision/position, and appraisal papers should be 6-10 pages (including references). Accepted papers will be presented as a poster in the poster sessions and a few will be selected to also give an oral presentation.

Authors may opt-in to have their paper possibly published in workshop proceedings at CEUR-WS. All papers will be posted on the workshop website. The proceedings containing the opt-in papers will be submitted for inclusion to CEUR-WS. Assuming a sufficient number of high-quality papers, the proceedings are likely to be accepted, but conforming to CEUR-WS policy it cannot guarantee beforehand that the proceedings will indeed be published. Papers in the CEUR-WS series are published Open Access, without fee, under the CC-BY 4.0 licence (exceptions for Crown or US government employees). You as the author remain to hold the copyright.

For accepted papers, at least one author must register for the conference and attend the workshop in-person to present the work.

Submit via EasyChair: https://easychair.org/my/conference?conf=graphquality2022

Important Dates

Submission: June 20, 2022

Notification: July 18, 2022

Early registration deadline for the conference: July 22, 2022

Camera-ready: August 12, 2022

Programme and papers online: Monday 5 Sep 2022

Workshop date: September 23, 2022

Futher information and Contact

Organizers: Nidhi Hegde, Christine Largeron, Jefrey Lijffijt, Osmar R. Zaïane

Website URL: https://graphquality.github.io/

E-mail: graphquality22@gmail.com

Lien direct

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Date : 2022-09-23
Lieu : ECML-PKDD @GRENOBLE, FRANCE

https://graphquality.github.io/
******************************************************************************************
[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP)]

The GRAPH-QUALITY Workshop at ECML-PKDD 2022 aims to explore the theoretical and practical aspects of quality of data, models and evaluation in the context of graph-based data mining and machine learning. We invite contributions in the area of Data and Model Quality for Mining and Learning with relational data (measures, algorithms, models, tools, evaluations, etc.) to be presented at the GRAPH-QUALITY workshop which is to be held at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), in Grenoble, France – 23 September 2022.

Topics of interests

• Anomaly detection on graphs
• Assessment of fairness and bias in the context of graphs, graph models (including representations), and subsequent tasks such as link prediction
• Explainable graph models and predictions
• Graph models and representations learning in the context of missing data and noise
• Privacy preserving data mining and machine learning for relational data
• Probabilistic methods and uncertainty estimation on networks
• Algorithms and metrics for quality preservation on relational data

Submission Information
All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):

• Novel research papers
• Work-in-progress papers
• Vision and position papers
• Appraisal papers of existing methods and tools (e.g., evaluations, lessons learned)

Authors should indicate in their abstract the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English and formatted according to the single-column CEUR-ART style (downloadable at http://ceur-ws.org/Vol-XXX/CEURART.zip). Novel research papers should be 10 to 16 pages (including references), work-in-progress, vision/position, and appraisal papers should be 6-10 pages (including references). Accepted papers will be presented as a poster in the poster sessions and a few will be selected to also give an oral presentation.
Authors may opt-in to have their paper possibly published in workshop proceedings at CEUR-WS. All papers will be posted on the workshop website. The proceedings containing the opt-in papers will be submitted for inclusion to CEUR-WS. Assuming a sufficient number of high-quality papers, the proceedings are likely to be accepted, but conforming to CEUR-WS policy it cannot guarantee beforehand that the proceedings will indeed be published. Papers in the CEUR-WS series are published Open Access, without fee, under the CC-BY 4.0 licence (exceptions for Crown or US government employees). You as the author remain to hold the copyright.

For accepted papers, at least one author must register for the conference and attend the workshop in-person to present the work.

Submit via EasyChair: https://easychair.org/my/conference?conf=graphquality2022

Important Dates
Submission: June 30, 2022
Notification: July 18, 2022
Early registration deadline for the conference: July 22, 2022
Camera-ready: August 12, 2022
Programme and papers online: Monday 5 Sep 2022
Workshop date: September 23, 2022


Futher information and Contact
Organizers: Nidhi Hegde, Christine Largeron, Jefrey Lijffijt, Osmar R. Zaïane
Website URL: https://graphquality.github.io/
E-mail: graphquality22@gmail.com 

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Date : 2022-09-29 => 2022-09-30
Lieu : campus de l’université de Lyon à Villeurbanne. Les participations distantes seront également possibles (format hybride).

Le GdR EcoStat organise, avec le soutien de la MITI du CNRS, la deuxième
édition du workshop “imaginecology” :

https://imaginecology2.sciencesconf.org

Le workshop inclura trois présentations plénières et sera précédé de
mini-formations optionnelles. L’objectif est de créer et renforcer les
interactions entre personnes travaillant aux interfaces entre
intelligence artificielle et écologie. N’hésitez donc pas à venir
discuter et/ou proposer une courte intervention (5 minutes), pour
présenter vos travaux, données ou intérêts, ou même juste partager votre
problématique.

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

Thème :

Similarités musicales : échelles, dimensions, modèles, usages

Présentation :

Les données musicales constituent une masse d’information considérable qui est cependant mal exploitée du fait de l’absence de paradigme générique permettant de rendre de rendre compte de leurs relations de similarité, et ce à diverses échelles de représentation.
Par similarité, on entend des relations simples qui permettent d’expliquer et de formuler les correspondances entre éléments, séquences temporelles, sections, albums, oeuvres, voire corpus musicaux, en tenant compte de leurs spécificités mais en veillant à faire appel à un paradigme général. Les éléments musicaux s’organisent en effet à différentes échelles, au sein d’un corpus, dans le temps, etc.
Dans tous les cas on peut identifier des éléments qui se répètent, éventuellement avec des variations (reprises de morceaux au sein du corpus, similarités de motifs dans le temps au sein d’un morceau, répétitions de notes au sein d’un motif, etc.).
L’atelier Musiscale vise à définir les propriétés et les structures de données les plus appropriées à ces représentations, en tenant compte de la nature des données mais sans préjuger des utilisations qui peuvent en être faites.

Dans cet objectif, nous organisons les 6 et 7 octobre à Paris les premières journées de l’atelier Musiscale sur la thématique :

« Similarités musicales à différentes échelles, différentes dimensions, différents domaines : modèles, besoins, usages. »

Du : 2022-10-06

Au : 2022-10-07

Lieu : Maison de la Recherche
28 rue Serpente 75006 Paris

Site Web : https://www.madics.fr/ateliers/musiscale/

Pour vous inscrire, vous devez déjà être membre du GDR MaDICS et identifié sur le site.
Inscrivez-vous maintenant !

Date : 2022-10-10 => 2022-10-12
Lieu : Maison des SCiences de l’Homme, Campusd e Dijon

Le GIS FRANCE GRILLES, Silecs/Grid’5000, le Groupe Calcul, le GDR RSD, GENCI et les mésocentres organisent ensemble les JCAD 2022, Journées Calcul Données : Rencontres scientifiques et techniques autour du calcul et des données.

Les JCAD sont dédiées à la fois aux utilisateurs et aux experts techniques des infrastructures et des services associés. Les objectifs de ces rencontres sont de présenter des travaux scientifiques, dans toutes les disciplines, réalisés grâce au soutien des infrastructures de grilles de calcul, de mésocentres ou de cloud, les travaux de la recherche en informatique associée et les évolutions techniques et travaux des administrateurs de ces infrastructures.

Ces journées associeront exposés pléniers, tables rondes et posters sur des sujets d’actualité.

Cette année, elles auront lieu du 10 au 12 octobre, à Dijon, Maison des Sciences de l’Homme (MSH) sur le campus de Dijon, en partenariat avec l’Université de Bourgogne (uB), l’Université de Franche-Comté (UFC), la Direction du Numérique uB (DNum) et le Mésocentre Bourgogne-Franche-Comté (MesoBFC).

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Date : 2022-10-10 => 2022-10-14
Lieu : Lisbon, Portugal
Hybrid mode attendance

*** Call for Papers for SUMAC 2022 ***
The 4th workshop on Structuring and Understanding of Multimedia heritAge Contents
In conjunction with ACM Multimedia 2022
10-14 October 2022, Lisbon, Portugal

Workshop: https://sumac-workshops.github.io/2022/
Conference: https://2022.acmmm.org

*** Aims and scope

The digitization of large quantities of analogue data and the massive production of born-digital documents for many years now provide us with large volumes of varied multimedia data (images, maps, text, video, multi-sensor data, etc.), an important feature of which is that they are cross-domain. “Cross-domain” reflects the fact that these data may have been acquired in very different conditions: different acquisition systems, times and points of view. These data represent an extremely rich heritage that can be exploited in a wide variety of fields, from Social Sciences and Humanities to land use and territorial policies, including smart city, urban planning, smart tourism and culture, creative media and entertainment. In terms of research in computer science, they address challenging problems related to the diversity and volume of the media across time, the variety of content descriptors (potentially including the time dimension), the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in various research topics such as multimodal and mixed media search, automatic content analysis, multimedia linking and recommendation, and big data analysis and visualization, where scientific bottlenecks may be exacerbated by the time dimension, which also provides topics of interest such as multimodal time series analysis.

The objective of the third edition is to present and discuss the latest and most significant trends in the analysis, structuring and understanding of multimedia contents dedicated to the valorization of heritage, with the emphasis on enabling access to the big data of the past. We welcome research contributions for the following (but not limited to) topics:

– Multimedia and cross-domain data interlinking and recommendation
– Dating and spatialization of historical data
– Mixed media data access and indexing
– Deep learning in adverse conditions (transfer learning, learning with side information, etc.)
– Multi-modal time series analysis, evolution modelling
– Multi-modal and multi-temporal data rendering
– Heritage – Building Information Modelling, Art Virtualisation
– HCI / Interfaces for large-scale datasets
– Smart digitisation of massive quantities of data
– Bench-marking, Open Data Movement
– Generative modelling of cultural heritage

*** Important dates

– Paper submission: 6 July 2022 (11:59 p.m. AoE)
– Author acceptance notification: 29 July 2022
– Camera-Ready: 21 August 2022
– Workshop date: 10 or 14 October 2022 (TBA)

*** Submission guidelines

Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work as well as work in progress. One submission format is accepted: full paper, which must follow the formatting guidelines of the main conference ACM MM 2022. Full papers should be from 6 to 8 pages (plus 2 additional pages for the references), encoded as PDF and using the ACM Article Template. For paper guidelines, please visit: https://2022.acmmm.org/call-for-papers/.

Peer Review and publication in ACM Digital Library. Paper submissions must conform with the “double-blind” review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published in the ACM Digital Library.

*** Organizers

Valerie Gouet-Brunet (LaSTIG Lab / IGN – Gustave Eiffel University, France)
Ronak Kosti (Pattern Recognition Lab / FAU Erlangen-Nurnberg, Germany)
Li Weng (Hangzhou Dianzi University, China)

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Date : 2022-10-14
Lieu : IRISA, Rennes

SIFED est une journée de rassemblement de la communauté de l’analyse et la reconnaissance de documents.

Au cours de cette journée, les chercheurs et industriels ont l’occasion de présenter leurs travaux de recherche dans ces domaines.

Toutes les informations sont disponibles sur le site : https://project.inria.fr/sifed2022/fr/

La conférence est gratuite et ouverte à tous, même si vous ne présentez pas de communication !

L’inscription est obligatoire, avant le jeudi 6 octobre sur le site de SIFED : https://project.inria.fr/sifed2022/

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Date : 2022-10-19 => 2022-10-21
Lieu : Université de Bourgogne
Dijon, Bourgogne Franche-Comté, France

The ISSA (Intelligent Systems, Services and Applications) track of the 16th international conference SITIS will focus on emerging concepts, architectures, protocols, and methodologies for information management on modern distributed systems such as Cloud, Edge, Fog, and IoT. Nowadays, an unlimited number of smart objects are connected with the scope of making our environment more interactive. Information can be exchanged easily, tasks can be processed collaboratively, devices and objects can be efficiently connected, and communities of users with similar interests can be formed to achieve their goals proficiently and improve performance. New issues and challenges are emerging in this pervasive and collaborative world ranging from the need for high-accurate decision systems able to adapt to changing environments to the need of protecting the safety, security and privacy of the users, which are increasingly seen as yet another component of these systems. To address the above issues and challenges, modern systems and applications are increasingly based on ML/AI models made available thanks to the huge amount of data and the increased networking performance (e.g., 5G low latency). In this context, the data produced by the environment defined a paradigm named “Big Data”. In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself.

Novel architectures and solutions are being proposed to promote this incoming Intelligent Web era, ranging from enhanced machine-to-machine communications, resource sharing and processing of linked data and devices, distributed computing and cooperative systems, mobile information systems and services, semantic-based applications and intelligent data processing, advanced distributed learning and AI model ensemble strategies to state a few examples. On top of this, novel data security and privacy protocols, as well as assurance and certification approaches, need to be designed and implemented to guarantee a given level of trustworthiness and reliability on modern systems and applications.

ISSA track aims to provide an international forum for researchers, professionals, and industrial practitioners to share their experiences and knowledge in this growing and highly important area of internet and Web technologies.

The topics of interest of the track include, but are not limited to:

1) Data semantics and Web-Centric Systems
Ontologies and Conceptual Data Modeling
Knowledge Representation and Reasoning
Semantic Data Integration and Ontology Engineering
Social Media and Social Semantics
Folksonomies and Emergent Semantics
Web/Data Mining and Machine Learning
Recommender Systems and Crowd-sourcing
Semantic Data Indexing, Search, and Retrieval
Multimedia Data Modeling and Visualization
Semantics in Data Access, Visualization, and User Interfaces
Semantic Technologies for Mobile Platforms

2) Big Data Management and Analytics
Theoretical Models for Big Data
Computational Models for Big Data
Data and Information Quality for Big Data
Big Data Models, Representation Formats, and Algorithms
Big Data Semantics and Knowledge Organization
Big Data Architectures and Storage
Descriptive, Predictive, and Predictive Analytics on Big Data
Machine Learning Algorithms for Big Data
Big Data Integration Architectures and Techniques
Graph Modeling, Storage, and Analytics

3) Service-based Computing
Data and Knowledge as a Services
Web Services, Mobile Services, and Service Computing
Software Architecture and Middleware
Semantic and Intelligent Services
Service Discovery, Selection, and Recommendation
Service Composition and Service-based data Integration
Business Process as a Service (BPaaS)
Health Informatics as a Service (HIaaS)
Financial Software as a Service (FSaaS)
Education as a Service (EaaS)

4) Intelligent Services and Applications
Future Networks for Cloud Edge Fog and IoT
Artificial Intelligence in Edge/IoT computing
Distributed Ontologies and Contextual Reasoning
Semantic Interoperability and Semantic Mediators
Collective Knowledge and Collective Intelligence
Data Analysis and Visualization for health and Smart Cities
Smart Homes and Independent Living
Intelligent Service Discovery, selection, and composition
Service-based data Integration
Business Process as a Service (BPaaS)
Health Informatics as a Service (HIaaS)
Ecosystem services and management

5) Information Security and Privacy
Security Modeling and Access Control Protocol
Web Security and Trust Management
Fundamental Security Services on Network and Distributed Systems
Security and Privacy for Emerging Technologies
Big Data Security Protection, Confidentiality, Integrity, and Privacy
Next generation 5G/6G Network Security
Dependable and Reliable services
Assurance/testing and monitoring of security properties
Trustworthy/Certified AI/ML
Trustworthy AI/ML
Certified AI/ML

Track Chairs:
Paolo Ceravolo, University of Milan, Italy
Ana Roxin, University of Bourgogne, France
Robert Wrembel, Poznan University of Technology, Poland

PAPER SUBMISSION
SUBMIT your contribution
Submission and publication
Each submission should be at most 8 pages in total including a bibliography and well-marked appendices and must follow the IEEE double columns publication format.

You can download the IEEE conference templates – Latex and MS Word A4 – at the following URL: https://www.ieee.org/conferences/publishing/templates.html

Submissions will be peer-reviewed by at least two peer reviewers. Papers will be evaluated based on relevance, significance, impact, originality, technical soundness, and quality of presentation.

At least one author should attend the conference to present an accepted paper. All papers accepted for presentation at the main tracks and workshops will be included in the conference proceedings, which will be published by IEEE Computer Society and referenced in IEEE Xplore Digital Library, Scopus, DBLP and major indexes.

Paper submission will only be online via SITIS 2022 submission site:
https://easychair.org/conferences/?conf=sitis2022

Registration
At least one author of each accepted paper must register for the conference and present the work. A single registration allows attending both track and workshop sessions.

Further information is available on the registration page.

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