Date : 2022-06-29
Lieu : PFIA 2022, Saint Etienne

Cette journée est organisée avec le soutien de la Région Auvergne Rhone-Alpes et le Collège Industriel de l’AFIA dans le cadre de la Plate-Forme Intelligence Artificielle (PFIA) qui aura lieu du 27 juin au 1 juillet 2022 à Saint-Étienne.

La journée Résilience et IA a pour objectif de faire un point sur les travaux menés sur la gestion de crise et la sortie de crise, communément appelé résilience, avec l’appui du traitement des données, de l’information et du Big Data. Outre le constat souvent appuyé sur des chiffres d’une crise ou d’un dysfonctionnement, les sorties de crise et de situations difficiles imposent la collecte et un traitement efficace des données pour une meilleure prise de décision traduite par des politiques de développement, de mise en place des outils, des réponses précises. Des techniques d’Intelligence Artificielle peuvent ou pourraient aider à la résilience. Il serait aussi intéressant de voir pour des situations précises quelles sont données massives ou non qui sont à disposition et des désidératas en terme des connaissances à extraire. C’est une première journée de ce type en France.

Ainsi, les thématiques de la journée sont les suivantes (liste non exhaustive) :

Exploration des données utiles à la résilience (open data, serveurs de données, aspects temps réel)
Représentation des connaissances liées aux données géographiques et des territoires (terminologies et ontologies)
Visualisation de l’information pour mieux repérer l’anormalité
IA et logistique
IA et crises environnementales
Aide à la décision
Recherche d’information dans des corpus textuels
Systèmes informatisés de surveillance environnementale
Algorithmes d’apprentissage et des méthodes fondées sur les connaissances.
La journée s’adresse aux jeunes chercheurs, aux chercheurs confirmés, aux industriels. Elle est ouverte à la présentation de travaux à différents stades d’avancement.

Soumissions
Les articles soumis devront comporter entre 4 et 12 pages, selon la nature des travaux présentés. Les langues autorisées pour les articles sont le français et l’anglais, mais les présentations devront se faire en français. Les soumissions se feront ici :
https://easychair.org/conferences/?conf=resia2022.

Chaque article sera évalué par au moins deux relecteurs issus du comité de programme de la journée. Les articles devront respecter le style PFIA : https://afia.asso.fr/pfia-modeles-et-feuilles-de-style/.

Dates importantes
Date limite de soumission : 5 mai 2022
Notification aux auteurs : 13 mai 2022
Date limite de réception des versions définitives : 8 juin 2022
Journée Résilience & IA : 29 juin 2022

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Date : 2022-07-02

Web site: https://www.frontiersin.org/research-topics/34050/text-complexity-and-simplification

Submission Deadlines

• 02 July 2022 Manuscript

Context
Text complexity assessment is one of the urgent problems of our time. Many modern texts, including classroom books and legislative acts, prove to be too difficult and as such cannot cater to readers’ needs. This also applies to legal, financial, banking documents. Although the first methods of measuring text complexity were suggested over 70 years ago, the problem is far from being solved. The diversity of languages, text types and genres, as well as their audience, are major challenges for researchers. Despite the constant growth in the number of scientific publications, their complex language or the lack of scientific acculturation of users creates a tendency to avoid these sources by favoring commercial or political incentives rather than accuracy and informational value. This difficulty in reading scientific documents also exists when scientists are interested in scientific documents from disciplines other than those in which they are experts. Text simplification aims to reduce these barriers. Text simplification is used in the field of translation (pre-editing), localization and technical writing. Simplified texts are also more accessible to non-native speakers, young readers, people with reading disabilities, or with lower levels of education.

We are looking for contributions in the form of Review, Original Research, Brief Research Report, Perspective, Technology and Code etc. in the following areas, including, but not limited to:

• application of state-of-the-art models of neural architectures to text simplification and complexity
• understanding which features neural networks extract from texts for text simplification and complexity
• compiling corpora annotated with complexity labels for training and testing
• model evaluation and validation
• description of linguistic features relevant to the assessment of the difficulty of various classes of texts
• complex word Identification
• evaluating the dependence on subject areas, types and genres of texts
• text readability for foreign language learners
• complexity of web content
• text adaptation
• scientific multi-document summarization
• visualization as text simplification
• identification of difficulties preventing the simplification and summarization of texts
• metrics of text difficulty
• applications in education, law, etc.

Keywords:
neural networks, text, machine learning, complexity, simplification, readability

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Date : 2022-07-04 => 2022-07-07
Lieu : Samatan, Gers, France

Call for
Papers

SCOPE

The
second edition of CIRCLE will take place on July
4-7, 2022
at Samatan, Gers, south of France (50 minutes from Toulouse). More
information at https://www.irit.fr/CIRCLE/.

CIRCLE
arose
from a twofold wish to gather three national Information Retrieval
(IR) conferences and to offer young researchers the opportunity to
meet and discuss with senior researchers. CIRCLE is supported by the
ARIA French conference (CORIA, COnférence en Recherche
d’Information et Applications), the Spanish Conference on
Information Retrieval (CERI, Congreso Español de Recuperación
de Información), the Italian Information Retrieval Workshop,
and the Swiss IR community. The main objective of CIRCLE is to
propose a unique place for stimulating and disseminating research in
IR, where senior/industrial and early stage researchers (including
MSc and PhD students) can network and discuss their research results
in a friendly environment.

KEY
DATES

• 25
  February 2022:
  Long paper deadline

  
  

• 18
  March 2022:
  Short, resource, demo papers and extended abstracts deadline

  
  

• 29
  April 2022:
  Papers notifications

  
  

• 27
  May 2022:
  Camera-Ready deadline

  
  

TOPICS
OF
INTEREST

CIRCLE
2022 welcomes both theoretical and experimental papers on core IR and
papers on connections between IR and close disciplines including but
not limited to natural language understanding and information
extraction. Relevant
topics include, but are not restricted to:

• Search
  and ranking.
  Research on core IR algorithmic topics, including IR at scale,
  covering topics such as:

  
  
  
  

  • Queries
    and query analysis

    
    

  • Web
    search, including link analysis, sponsored search, search
    advertising, adversarial search and spam, and vertical search

    
    

  • Retrieval
    models and ranking, including diversity and aggregated search

    
    

  • Efficiency
    and scalability

    
    

  • Theoretical
    models and foundations of information retrieval and access

    
    
  
  

• Content
  analysis, recommendation and classification.
  Research focusing on recommender systems, rich content
  representations and content analysis, covering topics such as:

  
  
  
  

  • Filtering
    and recommender systems

    
    

  • Document
    representation

    
    

  • Content
    analysis and information extraction, including summarization, text
    representation, readability, sentiment analysis, and opinion mining

    
    

  • Cross-
    and multilingual search

    
    

  • Clustering,
    classification, and topic models

    
    

  • IR
    and natural language processing

    
    
  
  

• Domain-specific
  applications.
  Research focusing on domain-specific IR challenges, covering topics
  such as:

  
  
  
  

  • Social
    search

    
    

  • Search
    in structured data including email search and entity search

    
    

  • Multimedia
    search

    
    

  • Education

    
    

  • Legal

    
    

  • Health,
    including genomics and bioinformatics

    
    

  • IR
    and digital libraries

    
    

  • IR
    and databases

    
    

  • Other
    domains such as enterprise, news search, app search, archival
    search

    
    
  
  

• Artificial
  intelligence, semantics and dialog.
  Research bridging AI and IR, especially toward deep semantics and
  dialog with intelligent agents, covering topics such as:

  
  
  
  

  • Question
    answering

    
    

  • Conversational
    systems and retrieval, including spoken language interfaces, dialog
    management systems, and intelligent chat systems

    
    

  • Semantics
    and knowledge graphs

    
    

  • Deep
    learning for IR, embeddings, and agents

    
    
  
  

• Human
  factors and interfaces.
  Research into user-centric aspects of IR, including user interfaces,
  behavior modeling, privacy, and interactive systems, covering topics
  such as:

  
  
  
  

  • Mining
    and modeling search activity, including user and task models, click
    models, log analysis, behavioral analysis, and attention modeling

    
    

  • Interactive
    and personalized search

    
    

  • Collaborative
    search, social tagging and crowdsourcing

    
    

  • Information
    privacy and security

    
    
  
  

• Evaluation.
  Research that focuses on the measurement and evaluation of IR
  systems, covering topics such as:

  
  
  
  

  • User-centered
    evaluation methods, including measures of user experience and
    performance, user engagement and search task design

    
    

  • Test
    collections and evaluation metrics, including the development of
    new test collections

    
    

  • Eye-tracking
    and physiological approaches, such as fMRI

    
    

  • Evaluation
    of novel information access tasks and systems such as multi-turn
    information access

    
    

  • Statistical
    methods and reproducibility issues in information retrieval
    evaluation

    
    
  
  

• IR
  architectures.
  Research
  dealing with IR system architectures and scalability, covering
  topics such as:

  
  
  
  

  • String
    processing for IR

    
    

  • IR
    system scalability

    
    

  • Efficient
    text representations, indexing and ranking

    
    
  
  

Future
directions.
Research with theoretical or empirical contributions on new technical
or social aspects of IR, especially in more speculative directions or
with emerging technologies, covering topics such as:

• Novel
  approaches to IR

  
  

• Ethics,
  economics, and politics

  
  

• Applications
  of search to social good

  
  

• IR
  with new devices, including wearable computing, neuroinformatics,
  sensors, Internet-of-Things, vehicles

  
  

PAPER
SUBMISSIONS

Authors
are invited to submit one of the following types
of contributions:

• Long
  original papers (from 6 to 9 pages including references) describing
  mature and original research results

  
  

• Short
  original papers (from 3 to 5 pages including references) which
  typically discuss exciting new work that is not yet mature enough
  for a long paper, such as for example “doctoral papers”.
  In particular, novel but significant proposals will be considered
  for acceptance into this category despite not having gone through
  sufficient experimental validation or lacking strong theoretical
  foundation.

  
  

• Resource
  and demo papers
  (from 3 to 7 pages including references). A resource
  paper describes
  IR test collections software tools made available to the IR research
  community. Demo
  papers showcasing new technologies and prototypes in the cope of
  CIRCLE

  
  

• Extended
  abstracts
  (up to 3 pages including references) containing descriptions of
  ongoing projects or presenting already published results
  

  
  

Manuscripts
should be submitted to CIRCLE’22’s Easychair site
(https://easychair.org/conferences/?conf=circle2022)
in PDF format and must be in English using the current ACM
two-column conference format.
Suitable LaTeX, Word, and Overleaf templates are available from the
ACM
Website
(use the“sigconf”proceedings template).

Long
and short
submissions must be anonymous
and will be
peer reviewed by at least 3 reviewers in a double-blind process by
the CIRCLE common program committee. Resource
and demo
submissions
as well as extended
abstracts
are not
anonymous
and will be peer reviewed by at least 3 reviewers in a single-blind
process by the CIRCLE common program committee

The
conference language for this track will be English. Each accepted
paper will be orally presented and will be part of the proceedings
which will be sent to CEUR-WS.org for online publication.

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Date : 2022-07-05
Lieu : Grenoble, France

AALTD 2022: CALL FOR PAPERS

https://project.inria.fr/aaltd22/

################################################################################

The 7th International Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2021) will be held on Friday, September 23, 2022, co-located with the ECML/PKDD 2022 hybrid conference (https://2022.ecmlpkdd.org). The aim of this workshop is to bring together researchers and experts in machine learning, data mining, pattern analysis and statistics and create a platform for sharing research challenges, as well as advancing the research on temporal data analysis. Analysis and learning from temporal data covers a wide scope of tasks including learning metrics, learning representations, unsupervised feature extraction, clustering, classification and interpretation.

Topics of Interest

The workshop welcomes papers that cover, but are not limited to, one or several of the following topics:Temporal data clustering

• Classification and regression of univariate and multivariate time series

• Early classification of temporal data

• Deep learning for temporal data

• Learning representation for temporal data

• Metric and kernel learning for temporal data

• Modelling temporal dependencies

• Time series forecasting

• Time series annotation, segmentation and anomaly detection

• Spatial-temporal statistical analysis

• Functional data analysis methods

• Data streams

• Interpretable/explainable time-series analysis methods

• Dimensionality reduction, sparsity, algorithmic complexity and big data challenges

• Benchmarking and assessment methods for temporal data

• Applications, including bioinformatics, medical, energy consumption, etc, on temporal data.

We welcome contributions that address aspects including, but not limited to: novel techniques, innovative use and applications, techniques for the use of hybrid models. We also invite papers describing industry time series management platforms, in particular those that raise open questions for which there are no current off-the-shelf solutions.

Paper Submission

Submission website is here: https://easychair.org/conferences/?conf=aaltd22

Authors that would not want their papers to apply for possible oral presentation should inform the organisers at the time of submission. Submitted papers should be 6 to 16 pages long using the LNCS formatting style.

After the workshop, authors of selected papers will be invited for publication in a special volume in the Lecture Notes in Computer Science (LNCS) series (see last year’s edition).

Important Dates

• Abstract submission deadline: June 13, 2022
• Paper submission deadline: June 20, 2022
• Acceptance notification: July 13, 2022
• Camera-ready deadline: August 10, 2022
• Workshop date: September 23, 2022

Organizers

• Tony Bagnall, University of East Anglia, England
• Thomas Guyet, Inria, France
• Georgiana Ifrim, University College Dublin, Ireland
• Vincent Lemaire, Orange Labs, France
• Simon Malinowski, Université de Rennes 1/IRISA, France
• Patrick Schäfer, Humboldt University of Berlin, Germany

Contact

If you have any questions about this workshop please contact smalinow@irisa.fr

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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 !

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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

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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.

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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

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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 

Lien direct

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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.

Lien direct

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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 !