CYNTHIA: An HTML Browser for Visually Handicapped People. - Mathieu Raynal; Mathieu Serrurier (ICCHP, 2002)

On the Induction of Different Kinds of First-Order Fuzzy Rules. - Henri Prade; Gilles Richard; Mathieu Serrurier (ECSQARU, 2003)

Learning First Order Fuzzy Logic Rules. - Henri Prade; Gilles Richard; Mathieu Serrurier (IFSA, 2003)

Enriching Relational Learning with Fuzzy Predicates. - Henri Prade; Gilles Richard; Mathieu Serrurier (PKDD, 2003)

Getting adaptability or expressivity in inductive logic programming by using fuzzy predicates. - Henri Prade; Mathieu Serrurier (FUZZ-IEEE, 2004)

A Simulated Annealing Framework for ILP. - Mathieu Serrurier; Henri Prade; Gilles Richard (ILP, 2004)

Possibilistic Inductive Logic Programming. - Mathieu Serrurier; Henri Prade (ECSQARU, 2005)

Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication. - Mathieu Serrurier; Thomas A. Sudkamp; Didier Dubois; Henri Prade (FUZZ-IEEE, 2005)

Coping with exceptions in multiclass ILP problems using possibilistic logic. - Mathieu Serrurier; Henri Prade (IJCAI, 2005)

Version Space Learning for Possibilistic Hypotheses. - Henri Prade; Mathieu Serrurier (ECAI, 2006)

Imprecise Regression and Regression on Fuzzy Data - A Preliminary Discussion. - Mathieu Serrurier; Henri Prade (FUZZ-IEEE, 2006)

Arguing and Explaining Classifications. - Leila Amgoud; Mathieu Serrurier (ArgMAS, 2007)

A General Framework for Imprecise Regression. - Mathieu Serrurier; Henri Prade (FUZZ-IEEE, 2007)

Loi de fitts: prédiction du temps de pointage sous forme d'ensembles flous. - Mathieu Raynal; Mathieu Serrurier (IHM, 2007)

Introducing possibilistic logic in ILP for dealing with exceptions. - Mathieu Serrurier; Henri Prade (Artif. Intell., 2007)

Learning fuzzy rules with their implication operators. - Mathieu Serrurier; Didier Dubois; Henri Prade; Thomas A. Sudkamp (Data Knowl. Eng., 2007)

Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules. - Mathieu Serrurier; Henri Prade (Soft Comput., 2007)

Agents that argue and explain classifications. - Leila Amgoud; Mathieu Serrurier (Auton. Agents Multi Agent Syst., 2008)

Bipolar version space learning. - Henri Prade; Mathieu Serrurier (Int. J. Intell. Syst., 2008)

Improving inductive logic programming by using simulated annealing. - Mathieu Serrurier; Henri Prade (Inf. Sci., 2008)

Elicitating Sugeno Integrals: Methodology and a Case Study. - Henri Prade; Agnès Rico; Mathieu Serrurier; Eric Raufaste (ECSQARU, 2009)

Génération et placement de couleurs sur une vue de type métro. - Christophe Hurter; Mathieu Serrurier; Gilles Tabart; Jean-Luc Vinot (IHM, 2009)

Elicitation of Sugeno Integrals: A Version Space Learning Perspective. - Henri Prade; Agnès Rico; Mathieu Serrurier (ISMIS, 2009)

An automatic generation of schematic maps to display flight routes for air traffic controllers: structure and color optimization. - Christophe Hurter; Mathieu Serrurier; Roland Alonso; Gilles Tabart; Jean-Luc Vinot (AVI, 2010)

Why Imprecise Regression: A Discussion. - Henri Prade; Mathieu Serrurier (SMPS, 2010)

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data. - Myriam Bounhas; Khaled Mellouli; Henri Prade; Mathieu Serrurier (SUM, 2010)

Possibilistic Classifiers for Uncertain Numerical Data. - Myriam Bounhas; Henri Prade; Mathieu Serrurier; Khaled Mellouli (ECSQARU, 2011)

Maximum-likelihood principle for possibility distributions viewed as families of probabilities. - Mathieu Serrurier; Henri Prade (FUZZ-IEEE, 2011)

Utilisation d'outils de visual data mining pour l'exploration d'un ensemble de règles d'association. - Gwenael Bothorel; Mathieu Serrurier; Christophe Hurter (IHM, 2011)

Imprecise Regression Based on Possibilistic Likelihood. - Mathieu Serrurier; Henri Prade (SUM, 2011)

Simultaneous Interval Regression for K-Nearest Neighbor. - Mohammad Ghasemi Hamed; Mathieu Serrurier; Nicolas Durand 002 (Australasian Conference on Artificial Intelligence, 2012)

A Possibilistic Rule-Based Classifier. - Myriam Bounhas; Henri Prade; Mathieu Serrurier; Khaled Mellouli (IPMU (1), 2012)

Possibilistic KNN Regression Using Tolerance Intervals. - Mohammad Ghasemi Hamed; Mathieu Serrurier; Nicolas Durand 002 (IPMU (3), 2012)

Classification Based on Possibilistic Likelihood. - Mathieu Serrurier; Henri Prade (IPMU (3), 2012)

Representing Uncertainty by Possibility Distributions Encoding Confidence Bands, Tolerance and Prediction Intervals. - Mohammad Ghasemi Hamed; Mathieu Serrurier; Nicolas Durand 002 (SUM, 2012)

Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm. - Gwenael Bothorel; Mathieu Serrurier; Christophe Hurter (ISVC (2), 2013)

From Visualization to Association Rules: an automatic approach. - Gwenael Bothorel; Mathieu Serrurier; Christophe Hurter (SCCG, 2013)

A Scalable Learning Algorithm for Kernel Probabilistic Classifier. - Mathieu Serrurier; Henri Prade (SUM, 2013)

An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data. - Mathieu Serrurier; Henri Prade (Int. J. Approx. Reason., 2013)

Possibilistic classifiers for numerical data. - Myriam Bounhas; Khaled Mellouli; Henri Prade; Mathieu Serrurier (Soft Comput., 2013)

Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy. - Mathieu Serrurier; Henri Prade (SMPS, 2014)

Naive possibilistic classifiers for imprecise or uncertain numerical data. - Myriam Bounhas; Mohammad Ghasemi Hamed; Henri Prade; Mathieu Serrurier; Khaled Mellouli (Fuzzy Sets Syst., 2014)

Social Specialization of Space: Clustering Households on the French Riviera. - Denis Pallez; Mathieu Serrurier; Célia da Costa Pereira; Giovanni Fusco 001; Cristina Cao (GECCO (Companion), 2015)

Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees. - Mathieu Serrurier; Henri Prade (ICML, 2015)

Analogical Classifiers: A Theoretical Perspective. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (ECAI, 2016)

Analogy in recommendation. Numerical vs. ordinal: A discussion. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (FUZZ-IEEE, 2016)

Learning Disentangled Representations of Satellite Image Time Series. - Eduardo Hugo Sanchez; Mathieu Serrurier; Mathias Ortner (ECML/PKDD (3), 2019)

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). - Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Romain Guillaume; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; Christel Vrain (CoRR, 2019)

Analogical proportion-based methods for recommendation - First investigations. - Nicolas Hug; Henri Prade; Gilles Richard; Mathieu Serrurier (Fuzzy Sets Syst., 2019)

Learning Disentangled Representations via Mutual Information Estimation. - Eduardo Hugo Sanchez; Mathieu Serrurier; Mathias Ortner (ECCV (22), 2020)

Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis. - Achraf Bennis; Sandrine Mouysset; Mathieu Serrurier (PAKDD (1), 2020)

Mutual Information Measure for Image Segmentation Using Few Labels. - Eduardo Hugo Sanchez; Mathieu Serrurier; Mathias Ortner (ECML/PKDD (4), 2020)

Dyslexia and Dysgraphia prediction: A new machine learning approach. - Gilles Richard; Mathieu Serrurier (CoRR, 2020)

A Hölderian backtracking method for min-max and min-min problems. - Jérôme Bolte; Lilian Glaudin; Edouard Pauwels; Mathieu Serrurier (CoRR, 2020)

Detecting Dyslexia from Audio Records: An AI Approach. - Jim Radford; Gilles Richard; Hugo Richard; Mathieu Serrurier (HEALTHINF, 2021)

Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. - Mathieu Serrurier; Franck Mamalet; Alberto González-Sanz; Thibaut Boissin; Jean-Michel Loubes; Eustasio del Barrio (CVPR, 2021)

DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions. - Achraf Bennis; Sandrine Mouysset; Mathieu Serrurier (ICANN (2), 2021)

The Many Faces of 1-Lipschitz Neural Networks. - Louis Béthune; Alberto González-Sanz; Franck Mamalet; Mathieu Serrurier (CoRR, 2021)

Pay attention to your loss : understanding misconceptions about Lipschitz neural networks. - Louis Béthune; Thibaut Boissin; Mathieu Serrurier; Franck Mamalet; Corentin Friedrich; Alberto González-Sanz (NeurIPS, 2022)

Precipitaion Nowcasting using Deep Neural Network. - Mohamed Chafik Bakkay; Mathieu Serrurier; Valentin Kivachuk Burda; Florian Dupuy; Naty Citlali Cabrera-Gutierrez; Michael Zamo; Maud-Alix Mader; Olivier Mestre; Guillaume Oller; Jean-Christophe Jouhaud; Laurent Terray (CoRR, 2022)

When adversarial attacks become interpretable counterfactual explanations. - Mathieu Serrurier; Franck Mamalet; Thomas Fel; Louis Béthune; Thibaut Boissin (CoRR, 2022)

Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks. - Louis Béthune; Paul Novello; Guillaume Coiffier; Thibaut Boissin; Mathieu Serrurier; Quentin Vincenot; Andres Troya-Galvis (ICML, 2023)

On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective. - Mathieu Serrurier; Franck Mamalet; Thomas Fel; Louis Béthune; Thibaut Boissin (NeurIPS, 2023)

The backtrack Hölder gradient method with application to min-max and min-min problems. - Jérôme Bolte; Lilian Glaudin; Edouard Pauwels; Mathieu Serrurier (Open J. Math. Optim., 2023)

DP-SGD Without Clipping: The Lipschitz Neural Network Way. - Louis Béthune; Thomas Massena; Thibaut Boissin; Aurélien Bellet; Franck Mamalet; Yannick Prudent; Corentin Friedrich; Mathieu Serrurier; David Vigouroux (ICLR, 2024)

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. - Ismaïl Baaj; Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Marie-Jeanne Lesot; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; et al. (Int. J. Approx. Reason., 2024)

Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges. - Héloïse Tudela; Mathieu Serrurier; Nader Mechergui; Yannick Brudieux; Mériem Jaïdane (CSEDU (1), 2025)

Analyse comparée de méthodes de générations de données hétérogènes, multidimensionnelles et réalistes. - Michael Corbeau; Emmanuelle Claeys; Mathieu Serrurier; Pascale Zaraté (EGC, 2025)

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures. - Thibaut Boissin; Franck Mamalet; Thomas Fel; Agustin Martin Picard; Thomas Massena; Mathieu Serrurier (CoRR, 2025)

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks. - Thomas Massena; Léo Andéol; Thibaut Boissin; Franck Mamalet; Corentin Friedrich; Mathieu Serrurier; Sébastien Gerchinovitz (CoRR, 2025)

Generating Heterogeneous Multi-dimensional Data : A Comparative Study. - Michael Corbeau; Emmanuelle Claeys; Mathieu Serrurier; Pascale Zaraté (CoRR, 2025)