Talks

Seventh BFAS School on Belief Functions and Their Applications, Granada, Spain, October 19–23, 2025:
- Generalised evidence theory
- Evidential machine learning
Ensembles flous aléatoires: Un nouveau formalisme pour la modélisation des incertitudes, UTC, Compiègne, 2 octobre 2024.
Talks at the 8th international conference on belief functions (BELIEF 2024), Belfast, UK, Sept. 2-4, 2024:
- Combination of Dependent Gaussian Random Fuzzy Numbers
- Uncertainty quantification in regression neural networks using likelihood-based belief functions
Likelihood-Based Uncertainty Quantification in Machine Learning using Random Fuzzy Sets, seminar at Tongji and Shanghai Universities, Shanghai, July 22, 2024.
Invited lectures at the University of Electronic Science and Technology of China (UESTC), Chengdu, July 2024:
- Introduction to belief functions and evidential machine learning
- Epistemic random fuzzy sets: theory and application to machine learning
Sixth BFAS School on Belief Functions and Their Applications, Ishikawa, Japan, October 28–31, 2023:
- Introduction to belief functions
- Evidential clustering
- Epistemic random fuzzy sets: Theory and Application to Machine Learning
Random Fuzzy Sets: Theory and Application to Machine Learning. Tutorial at FUZZ-IEEE 2023, Songdo Incheon, Korea, August 13, 2023.
Random fuzzy sets and belief functions. Application to machine learning, SIPTA Seminar, May 24, 2023.
Evidential Machine learning: Supervised and unsupervised learning using belief functions, Invited talk, 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2), May 25, 2022.
Théorie des fonctions de croyance et apprentissage automatique, GdR ISIS, Journée Apprentissage automatique multimodal et fusion d'informations, 19 janvier 2022.
Fonctions de croyance induites par des ensembles aléatoires flous : Un cadre général pour la représentation des informations floues et incertaines, Conférence LFA 2021, Paris, 22 octobre 2021.
Evidential machine learning, seminar at the University of Electronic Science and Technology of China (UESTC), Chengdu, China, June 23, 2021.
Random fuzzy sets: a general model of uncertainty. Invited talk, Virtual Conference on Epistemic Uncertainty in Engineering, February 15, 2021.
Belief functions and Machine Learning: A brief introduction. Tutorial at SUM 2019, Compiègne, France, December 16, 2019.
Fifth BFAS School on Belief Functions and Their Applications, Sienna, Italy, October 27–31, 2019:
- Introduction to belief functions
- Methods for building belief functions
- Classification and clustering
Introduction à l'apprentissage automatique, leçon inaugurale à l'UTC, 14 septembre 2018.
A Fresh Look at some Machine Learning Techniques from the Perspective of Dempster-Shafer Theory, Invited talk, CGCKD 2018, Chengdu, China, August 11, 2018.
Evidential Clustering: Review and some New Developments, Invited talk, 18th International Symposium on Advanced Intelligent Systems (ISIS2017), October 11-14, 2017, Daegu, South Korea
Frequency-calibrated belief functions, WUML/WPMSIIP workshop, Compiègne, September 11, 2017.
Fourth BFAS School on Belief Functions and Their Applications, Xi'An, China, July 5-9, 2017:
- Introduction to belief functions
- Methods for building belief functions
- Decision-making with belief functions
Classification and clustering using belief functions. Duy Tan University, Da Nang, Vietnam, November 29, 2016.
Classification and clustering using belief functions. Department of Computer Science and Technology, Tongji University, Shanghai, China, July 7, 2016.
Prediction of future observations using belief functions. Séminaire Mathématiques Discrètes, Optimisation et Décision, Université Paris I Panthéon-Sorbonne, 3 novembre 2015.
Classification and clustering using belief functions. School of Automation, Northwestern Polytechnical University, Xi'an, China, October 26, 2015 .
Statistical prediction using belief functions. Invited talk, 2th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2015), Skövde, Sweden, September 21, 2015.
Statistical estimation and prediction using belief functions, CIMI Imprecise Probability Workshop, Toulouse, France, May 28, 2015.
Dempster-Shafer theory: Introduction, connections with rough sets and application to clustering, invited talk, 9th International Conference on Rough Sets and Knowledge Technology (RSKT 2014), Shanghai, China, October 24-26, 2014.
Belief functions: basic theory and applications, Tutorial, ISIPTA 2013, Compiègne, France, 1st July 2013.
Statistical Inference from low-quality data using belief functions. Invited talk, Sixth Int. Conf. of the Thailand Econometric Society, Chiang Mai, Thailand, January 2013.
Combining statistical and subjective evidence: the belief function approach. Invited talk, Fifth Int. Conf. of the Thailand Econometric Society, Chiang Mai, Thailand, January 12-13, 2012.
Statistical Analysis of Uncertain Data in the Belief Function Framework. Invited talk, International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making (IUKM 2011), Hangzhou, China, October 28-30, 2011.
Theory of belief functions: introduction, connections with rough sets and some recent advances. Invited talk, RST 2011 Milano, Italy, September 14-16, 2011.
Classification and clustering using belief functions, First BFTA Spring School on Belief Functions, Autrans, France, 4-8 April 2011.
Théorie des fonctions de croyance : applications en diagnostic et sûreté de fonctionnement. Exposé invité, QUALITA 2011, Angers, france, 24 mars 2011.
Théorie des fonctions de croyance : application en reconnaissance de formes et en fusion d'informations. Journée “Théorie et applications des fonctions de croyance pour les systèmes de vision”, Groupe de travail SCATI, GDR ISIS, Paris, 9 décembre 2010.
Theory of belief functions for data analysis and machine learning applications. Invited talk, 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010), Belfast, Northern Ireland, UK, September 2, 2010.
Raisonnements approximatifs et systèmes complexes : Théorie des fonctions de croyance. Exposé invité, Conférence Ingénierie Grands Projets et Systèmes Complexes, Arcachon, France, 28 juin 2010.
Dempster-Shafer reasoning in large partially ordered sets: Applications in Machine Learning. Invited talk, International Symposium on Integrated Uncertainty Management and Applications, Ishikawa, Japan, 9-11 April 2010.
Theory of belief functions: application to classification and clustering. COST Action IC0702 Spring School, Mieres, Spain, May 18, 2009.
Theory of belief functions: application to classification and clustering. Seminar of Econometric Institute, Erasmus University Rotterdam, April 2, 2009.
Handling imprecise and uncertain class labels in classification and clustering. COST Action IC0702 meeting, Palma de Mallorca, March 16, 2009.
Gestion de l’incertain en diagnostic: l’apport de la théorie des fonctions de croyance. Tutorial, Ecole des journées doctorales MACS, Angers, March 2009.
Fusion d'informations dans le cadre de la théorie des fonctions de croyance. Journée “Gestion de l'incertain et fusion d'information”, GDR ISIS, 9 octobre 2008.
Information fusion using belief functions: new combination rules. Invited talk, 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU '07), Hammamet, Tunisia, October/November 2007.
Dimensionality reduction and visualization of interval and fuzzy data: a survey. Invited paper, 56th session of the International Statistical Institute (ISI ‘07), Lisboa, Portugal, August 2007.
Le modèle des croyances transférables. Nouvelles règles pour la combinaison d'informations non distinctes, Invited talk, Rencontres Francophones sur la Logique Floue et ses Applications , Toulouse, October 2006.
Construction de fonctions de croyance prédictives par une approche fréquentiste, Journées SEE sur “La théorie des fonctions de croyance : de nouveaux horizons pour l'aide à la décision”, Paris, December 2005.
Apprentissage de Fonctions de Croyance à partir de Dissimilarités, Journées Francophones sur les fonctions de croyance, Compiègne, March 2005.
Pattern recognition for system monitoring : An overview, Nalco Seminar, Naperville IL, USA, October 2, 2002.
Using Belief functions for data fusion : Theory and application. Tutorial given at the FUSION'2002 Conference, Anapolis, Maryland, July 2002 (with Philippe Smets)
- Case-based classification
- Belief decision trees
- Evidential clustering
Pattern recognition using belief functions, Boston, March 2002.