UMR CNRS 7253

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Membership

Editorial board
  • Fuzzy Sets and Systems (Area Editor), since 2023
  • International Journal of Approximate Reasoning (Associate/Aera Editor), since 2015
  • Artificial Intelligence Review (Editorial Board), between 2016 and 2022.
Scientific societies
  • Member of the french IA workgroup GDR IA executive committee (2018-?), in charge of young researcher actions
  • Directorial board member of BFAS (2010-2017: secretary, 2019-?: member)
  • Former member of the executive committee SIPTA (2011-2013 and 2015-2017 as executive editor, 2013-2015 as secretary, 2017-2019 as president, 2019-2021 as at-large member)
  • Former member of EUSFLAT and AFIA
Conference Program committees
  • KR (2024)
  • CVPR (2024)
  • AISTATS (2019-2024)
  • AAAI (2018-2022, SPC: 2023-2025)
  • NIPS/NeurIPS (2017-2024)
  • UAI (PC: 2010-2020, SPC: 2021, AC: 2022-2024)
  • IJCAI (SPC: 2017-2021, Program Committee Board: 2022-2024 )
  • ECML (Journal Track: 2021-2024)
  • ICML (2018-2020, 2022-2024)
  • ECAI (2014-2022, every two years, SPC: 2024)
  • ICLR (2020-2024)
  • COPA (2023)
  • FLAIRS (2018-2022)
  • DA2PL (2018,2020,2022 - Chair)
  • SUM (2018,2020, 2024 - Program chair)
  • BELIEF (2012-2022, every two years,2018 - Chair)
  • ECSQARU (2011-2023, every two years, 2015 - Chair)
  • IHMSC (2011)
  • IUKM (2016-2018,2023)
  • ISIPTA (2009-2025, every two years, 2013 - Chair,2017 and 2025 - Program Committee Board)
  • SMPS (2012, 2018 - Chair, 2022)
  • SOCPAR (2010)
  • LFA (2012-2023, 2019 - Chair)
  • KSE (2013-2014)
  • EUROFUSE (2013)
  • IPMU (2014-2024, every two years)
  • FUZZ'IEEE (2014-2023)
  • FUSION (2019-2023)
  • ICAART (2016-2019)
Habilitation Jury

Reviewer

  • Violaine Antoine, Classification and Uncertainty Modelling, Université Clermont Auvergne, 2023
  • Jean-Philippe Poli, Contributions to Explainable Artificial Intelligence: Developing ExpressIF® for Industry and Sciences, Université Paris Saclay, 2023
  • Georg Schollmeyer, Relational methods for statistical analysis and decision making in the context of non-standard data and information structure, Ludwig-Maximilians-Universität (Munich), 2024

Examiner

  • Wassila Ouerdane, From Preference Elicitation to Explaining Decisions: a Dialectical Perspective, Université Paris-Saclay, 2022
Thesis Jury (of students I did not supervise)

Reviewer

  • Rocco De Rosa, Confidence-based and Nonparametric Classification: Applications to Credal Classification, Online and Active Learning, Universita di Milano, 2014
  • Massimo Gurrieri, Benchmarks, Reduction Techniques and Rule-Based Learning for Label Ranking, Faculté Polytechnique de Mons, Belgique, 2015
  • Quentin Brabant, Fonctions latticielles polynômiales pour l’interpolation et la classification monotone, Université de Lorraine, 2018
  • Yiru Zhang, Modeling and management of imperfect preferences with the theory of belief functions, Université de Rennes 1, 2020
  • Gerald Rocher, Évaluation de l’Effectivité des Systèmes Ambiants, Université Côte d'Azur, 2020
  • Nadjet Bourdache, Élicitation incrémentale de préférences pour l'optimisation multi-objectifs, Sorbonne université, 2020
  • Tekwa Tedjini, Le problème de tournée de véhicules avec fenêtres de temps et temps de service et de trajets incertains : Une réponse fondée sur les fonctions de croyance, Université D'artois, 2021
  • Ismaïl Baaj, Explainability of Possibilistic and Fuzzy rule-based systems, Sorbonne Université, 2022
  • Marvin Lasserre, Apprentissages dans les réseaux Bayésiens à base de copules non-paramétriques, Sorbonne Université, 2022
  • Syrine Saidi, Représentation et exploitation des préférences conditionnelles dans un cadre possibiliste : Comparaison avec d’autres approches et extensions, Université Toulouse Sabatier, 2022
  • Michael Franklin Mbouopda, Explainable classification of uncertain time series, Université de Clermont-Auvergne, 2022
  • Andrea Campagner, Robust Learning Methods for Imprecise Data and Cautious Inference, Université de Milan-Bicocca, 2022
  • Massinissa Hamidi, Méta-apprentissage guidé par les connaissances du domaine, Université Sorbonne Paris Nord,2022
  • Claire Theobald, Bayesian Deep Learning for Mining and Analyzing Astronomical Data, Université de Nancy, 2023
  • Julian Lienen, Robustifying Machine Learning through Weakening Supervision, Paderborn University, 2023
  • Pierre Pomeret-Cocquot, Décision individuelle et stratégique sous incertitude : une approche algébrique et formelle, université Toulouse Sabatier, 2023
  • Nicolas Dewolf, A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning, Ghent University, 2024

Examiner

  • Mohammad Ghasemi Hamed, Méthodes non-paramétriques pour la prévision d'intervalles avec haut niveau de confiance: application à la prévision de trajectoires d'avions, Université Paul-Sabatier, Toulouse, 2013
  • Àlvaro Martinez Gòmez, Engine health monitoring and prognosis of engine fleets using intelligent data analysis for interval-valued and possibilistic data, Universidad de Oviedo, 2014
  • Mehena Loudahi, Distances matricielles dans la théorie des fonctions de croyance pour l’analyse et la caractérisation des interactions entre les sources d’information, Université de Lille, Lille, 2014
  • Idir Benouaret, Un système de recommandation contextuel et composite pour la visite personnalisée de sites culturels, Université de Technologie de Compiègne, 2016
  • Siqi Liu, Uncertainty management in parameter identification, Université de Technologie de Compiègne, 2016
  • Hela Goudier, Graphical Preference Representation under a Possibilistic Framework, Université de Toulouse Paul-Sabatier, 2017
  • Nathalie Helal, An evidential answer for the capacitated vehicle routing problem with uncertain demands, Université d'Artois, 2017
  • Marie Lachaize, Fusion de données pour les métiers de l'environnement : application au traitement des déchets, Université de Paris Sud, 2018
  • Asma Trabelsi, Classifier ensemble under the belief function framework, Université d'Artois, 2018
  • Khaled Belhacene, Towards accountable decision aiding : explanations for the aggregation of preferences, Ecole Centrale Paris, 2018
  • Nicolas Cambier, Bio-inspired Collective Exploration and Cultural Organisation, Université de Technologie de Compiègne, 2019
  • Sébastien Ramel, Evidential logistic regression: application to active classifier calibration and choquistic extension, Université de l'Artois, 2020
  • Lucie Jacquin, Traitement de données incertaines : Application au tri des matières plastiques, Ecole des mines d'Ales, 2021
  • Ayyoub Imakhlaf, Application des diagrammes de décision binaire pour l’analyse des arbres de défaillance cohérents et non cohérents en présence d’incertitudes, Université de Technologie de Compiègne, 2021
  • Cyprien Gilet, Discretized minimax classifier for personalized diagnosis in medicine, Université de Nice, 2021
  • Charles Vernerey, Multi-Objective Modeling and Optimisation for Knowledge Discovery, IMT Atlantique, 2023
Lecturer selection committee (outside of local university)
  • Université Sorbonne Paris Nord (LIPN)
  • INSA Toulouse (LAAS)
  • Polytech Annecy-Chambéry (LISTIC)
  • Sorbonne Université (LIP6)
  • Paris-Dauphine (LAMSADE)
  • CentraleSupélec - Université Paris-Saclay (MICS)
Conference/workshop Organization committees
  • LFA 2006, 2012, 2019 (Program Chair)
  • SMPS 2008, 2018 (Chair)
  • ISIPTA 2013 (Chair)
  • MS2T workshop 2013
  • ECSQARU 2015 (Chair)
  • MS2T summer school 2015
  • WUML 2015, 2017, 2020 (@ECML), 2021 (local)
  • WPMSIIP 2017
  • BELIEF 2018 (Co-Chair)
  • SUM 2019
  • DA2PL 2022 (Co-Chair)
Special session/workshop/tutorial organization
  • ERCIM 2011,2012
  • SMPS 2012
  • KSE 2013
  • EUROFUSE 2013
  • IPMU 2014
  • ECDA 2018
  • ECML/PKDD 2020: WUML
  • PFIA 2021: IA challenges in reasoning and learning
  • IJCAI 2022: M-PREF
  • ECSQARU 2023: workshop on uncertainty meets explainability
  • IPMU 2024

Reviewing activities

Journals
  • Regular (Around once a year or more): International journal of Approximate Reasoning (IJAR), Fuzzy Sets and Systems (FSS), Information Sciences (INS), IEEE Transactions on Man, Systems and Cybernetics (IEEE SMC), International Journal of Uncertainty, Fuzziness and Knowledge-bases (IJUFKS), Soft computing (SOCO), IEEE Transactions on Fuzzy Systems (IEEE TFS), Machine Learning (MACHS), European Journal of Operations Research (EJOR).
  • Occasional (at least once): Journal of Statistical Theory and Practice (JSTP), Artificial Intelligence (AI), Journal of the Franklin institute, Mathematical Social Sciences (MSS), International Journal of Reliability and Safety (IJRS), Annals of Operations Research (ANOR), Hydrology and Earth System Sciences, Computer-Aided Design (CAD), Journal of Risk and Reliability (JRR), IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Environmental Modelling & Software, International Journal of Performability Engineering, Journal of Engineering and Computer Innovations, Computational Statistics & Data Analysis (CSDA), Journal of Statistical Planning and Inference (JSPI), ACM Transactions on Modeling and Computer Simulation (TOMACS), Computers and Electronics in Agriculture (COMPAG), Ecography, IEEE Transactions on Automation Science and Engineering (IEEE T-ASE), IEEE Transactions on Reliability (IEEE TR), Journal of Applied Logic (JAL), Engineering Applications of Artificial Intelligence (EAAI), PLOS ONE, Journal of Mathematical Analysis and Applications (JMAA), Journal of Artificial Intelligence Research (JAIR), Journal of Mathematical Psychology (JMP), Information Fusion (INFFUS).
Conferences

LFA (2009), SMPS (2008, 2010), EUSFLAT (2009), IPMU (2010, 2012)

Grant reviewing

Grant reviewer for French (ANR, RNTI), Swiss (SNF), Dutch (NWO), English (EPSRC) and Czech (GACR) national research agencies.


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