Mathieu Serrurier

发表

Loi de fitts: prédiction du temps de pointage sous forme d'ensembles flous

Mathieu Raynal, Mathieu Serrurier, M. Serrurier, 2007, IHM '07.

Naive possibilistic classifiers for imprecise or uncertain numerical data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2014, Fuzzy Sets Syst..

Improving inductive logic programming by using simulated annealing

Mathieu Serrurier, Henri Prade, H. Prade, 2008, Inf. Sci..

Introducing possibilistic logic in ILP for dealing with exceptions

Mathieu Serrurier, Henri Prade, H. Prade, 2007, Artif. Intell..

computing environment to execute way of Shared on client computers applications with content and synchronized actions

Mathieu Serrurier, Pierre Salinas, 2013 .

Enriching Relational Learning with Fuzzy Predicates

Gilles Richard, Mathieu Serrurier, Henri Prade, 2003, PKDD.

Learning Disentangled Representations via Mutual Information Estimation

Mathieu Serrurier, Eduardo Hugo Sanchez, Mathias Ortner, 2019, ECCV.

ARPEGE Cloud Cover Forecast Postprocessing with Convolutional Neural Network

Mathieu Serrurier, Olivier Mestre, Jean-Christophe Jouhaud, 2020, Weather and Forecasting.

Version Space Learning for Possibilistic Hypotheses

Mathieu Serrurier, Henri Prade, 2006, ECAI.

Dyslexia and Dysgraphia prediction: A new machine learning approach pdf

Gilles Richard, Mathieu Serrurier, M. Serrurier, 2020, ArXiv.

Utilisation d'outils de visual data mining pour l'exploration d'un ensemble de règles d'association

Christophe Hurter, Mathieu Serrurier, Gwenael Bothorel, 2011, IHM.

Possibilistic KNN Regression Using Tolerance Intervals

Mathieu Serrurier, Mohammad Ghasemi Hamed, Nicolas Durand, 2012, IPMU.

Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication

Mathieu Serrurier, Didier Dubois, Henri Prade, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Arguing and Explaining Classifications

Mathieu Serrurier, Leila Amgoud, 2007, ArgMAS.

Maximum-likelihood principle for possibility distributions viewed as families of probabilities

Mathieu Serrurier, Henri Prade, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Possibilistic Inductive Logic Programming

Mathieu Serrurier, Henri Prade, H. Prade, 2005, ECSQARU.

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) pdf

Thierry Denoeux, Steven Schockaert, Mathieu Serrurier, 2019, ArXiv.

Achieving robustness in classification using optimal transport with hinge regularization pdf

Mathieu Serrurier, Jean-Michel Loubes, Franck Mamalet, 2020, ArXiv.

Elicitating Sugeno Integrals: Methodology and a Case Study

Mathieu Serrurier, Henri Prade, Agnès Rico, 2009, ECSQARU.

Predictive Interval Models for Non-parametric Regression pdf

Mathieu Serrurier, Mohammad Ghasemi Hamed, Nicolas Durand, 2014, ArXiv.

Analogy in recommendation. Numerical vs. ordinal: A discussion

Gilles Richard, Mathieu Serrurier, Henri Prade, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Learning fuzzy rules with their implication operators

Mathieu Serrurier, Didier Dubois, Henri Prade, 2007, Data Knowl. Eng..

Simultaneous Interval Regression for K-Nearest Neighbor

Mathieu Serrurier, Mohammad Ghasemi Hamed, Nicolas Durand, 2012, Australasian Conference on Artificial Intelligence.

CYNTHIA: An HTML Browser for Visually Handicapped People

Mathieu Raynal, Mathieu Serrurier, 2002, ICCHP.

Bipolar version space learning

Mathieu Serrurier, Henri Prade, H. Prade, 2008, Int. J. Intell. Syst..

Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm

Christophe Hurter, Mathieu Serrurier, Gwenael Bothorel, 2013, ISVC.

Classification Based on Possibilistic Likelihood

Mathieu Serrurier, Henri Prade, 2012, IPMU.

Learning First Order Fuzzy Logic Rules

Gilles Richard, Mathieu Serrurier, Henri Prade, 2003, IFSA.

Representing Uncertainty by Possibility Distributions Encoding Confidence Bands, Tolerance and Prediction Intervals

Mathieu Serrurier, Mohammad Ghasemi Hamed, Nicolas Durand, 2012, SUM.

Agents that argue and explain classifications

Mathieu Serrurier, Leila Amgoud, 2007, Autonomous Agents and Multi-Agent Systems.

Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees

Mathieu Serrurier, Henri Prade, H. Prade, 2015, ICML.

Analogical proportion-based methods for recommendation - First investigations

Gilles Richard, Mathieu Serrurier, Henri Prade, 2019, Fuzzy Sets Syst..

Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy

Mathieu Serrurier, Henri Prade, 2014, SMPS.

Arguing and explaining classifications

Mathieu Serrurier, Leila Amgoud, 2007, AAMAS '07.

A Possibilistic Rule-Based Classifier

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2012, IPMU.

Mining aeronautical data by using visualized driven rules extraction approach

Christophe Hurter, Mathieu Serrurier, Gwenael Bothorel, 2013 .

Coping with exceptions in multiclass ILP problems using possibilistic logic

Mathieu Serrurier, Henri Prade, 2005, IJCAI.

Surrogate Models for Rainfall Nowcasting

Mathieu Serrurier, Olivier Mestre, Jean-Christophe Jouhaud, 2020 .

From Visualization to Association Rules: an automatic approach

Christophe Hurter, Mathieu Serrurier, Gwenael Bothorel, 2013, SCCG.

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, H. Prade, 2013, Int. J. Approx. Reason..

ARPEGE Cloud Cover Forecast Postprocessing with Convolutional Neural Network

Mathieu Serrurier, Olivier Mestre, Jean-Christophe Jouhaud, 2020, Weather and Forecasting.

A Scalable Learning Algorithm for Kernel Probabilistic Classifier

Mathieu Serrurier, Henri Prade, 2013, SUM.

Social Specialization of Space: Clustering Households on the French Riviera

Mathieu Serrurier, Giovanni Fusco, Célia da Costa Pereira, 2015, GECCO.

A Simulated Annealing Framework for ILP

Gilles Richard, Mathieu Serrurier, Henri Prade, 2004, ILP.

Génération et placement de couleurs sur une vue de type métro

Christophe Hurter, Mathieu Serrurier, Jean-Luc Vinot, 2009, IHM '09.

Possibilistic classifiers for numerical data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2013, Soft Comput..

An automatic generation of schematic maps to display flight routes for air traffic controllers: structure and color optimization

Christophe Hurter, Mathieu Serrurier, Roland Alonso, 2010, AVI.

Why Imprecise Regression: A Discussion

Mathieu Serrurier, Henri Prade, 2010, SMPS.

From Bayesian Classifiers to Possibilistic Classifiers for Numerical Data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2010, SUM.

Increasing Air Traffic Control simulations realism through voice transformation

Jean-Paul Imbert, Mathieu Serrurier, Sylvain Neswadba, 2009 .

On the Induction of Different Kinds of First-Order Fuzzy Rules

Gilles Richard, Mathieu Serrurier, Henri Prade, 2003, ECSQARU.

A general framework for imprecise regression

Mathieu Serrurier, Henri Prade, 2007, 2007 IEEE International Fuzzy Systems Conference.

Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules

Mathieu Serrurier, Henri Prade, H. Prade, 2006, Soft Comput..

Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis

Mathieu Serrurier, Sandrine Mouysset, Achraf Bennis, 2020, PAKDD.

Analogical Classifiers: A Theoretical Perspective

Gilles Richard, Mathieu Serrurier, Henri Prade, 2016, ECAI.

Ground-based prediction of aircraft climb : point-mass model vs regression methods

Mathieu Serrurier, Mohammad Ghasemi Hamed, David Gianazza, 2011 .

Possibilistic Classifiers for Uncertain Numerical Data

Mathieu Serrurier, Henri Prade, Khaled Mellouli, 2011, ECSQARU.

PASI: Interpolation and Approximation in Fuzzy Rule Bases

László T. Kóczy, Piero P. Bonissone, Hani Hagras, 2011 .

A Hölderian backtracking method for min-max and min-min problems pdf

Mathieu Serrurier, Edouard Pauwels, J'erome Bolte, 2020, ArXiv.

Imprecise Regression and Regression on Fuzzy Data - A Preliminary Discussion

Mathieu Serrurier, Henri Prade, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Imprecise Regression Based on Possibilistic Likelihood

Mathieu Serrurier, Henri Prade, 2011, SUM.

Learning Disentangled Representations of Satellite Image Time Series

Mathieu Serrurier, Eduardo Sanchez, Mathias Ortner, 2019, ECML/PKDD.

Elicitation of Sugeno Integrals: A Version Space Learning Perspective

Mathieu Serrurier, Henri Prade, Agnès Rico, 2009, ISMIS.

Getting adaptability or expressivity in inductive logic programming by using fuzzy predicates

Mathieu Serrurier, Henri Prade, H. Prade, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Statistical prediction of aircraft trajectory : regression methods vs point-mass model

Mathieu Serrurier, Mohammad Ghasemi Hamed, David Gianazza, 2013 .

DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions

Mathieu Serrurier, Sandrine Mouysset, Achraf Bennis, 2021, ICANN.

Achieving robustness in classification using optimal transport with hinge regularization

Mathieu Serrurier, Jean-Michel Loubes, Franck Mamalet, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Detecting Dyslexia from Audio Records: An AI Approach

Gilles Richard, Mathieu Serrurier, Jim Radford, 2021, HEALTHINF.

The Many Faces of 1-Lipschitz Neural Networks pdf

Mathieu Serrurier, Franck Mamalet, Alberto Gonz'alez-Sanz, 2021, ArXiv.

Bipolar version space learning

Mathieu Serrurier, Henri Prade, H. Prade, 2008 .

An automatic generation of metro-like maps to display flight routes for air traffic controllers: structure and color optimization

Christophe Hurter, Mathieu Serrurier, Roland Alonso, 2010 .