| DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions | 0 | 0.34 | 2021 |
| Achieving robustness in classification using optimal transport with hinge regularization | 0 | 0.34 | 2021 |
| Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis. | 0 | 0.34 | 2020 |
| Learning Disentangled Representations via Mutual Information Estimation | 1 | 0.36 | 2020 |
| Learning Disentangled Representations of Satellite Image Time Series. | 0 | 0.34 | 2019 |
| Analogical proportion-based methods for recommendation - First investigations. | 0 | 0.34 | 2019 |
| Analogical Classifiers: A Theoretical Perspective. | 2 | 0.37 | 2016 |
| Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees | 4 | 0.45 | 2015 |
| Social Specialization of Space: Clustering Households on the French Riviera | 0 | 0.34 | 2015 |
| Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy | 0 | 0.34 | 2014 |
| Predictive Interval Models for Non-parametric Regression. | 0 | 0.34 | 2014 |
| Naive possibilistic classifiers for imprecise or uncertain numerical data | 13 | 0.53 | 2014 |
| From Visualization to Association Rules: an automatic approach | 0 | 0.34 | 2013 |
| A Scalable Learning Algorithm for Kernel Probabilistic Classifier. | 0 | 0.34 | 2013 |
| An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data. | 7 | 0.55 | 2013 |
| Visualization of Frequent Itemsets with Nested Circular Layout and Bundling Algorithm. | 4 | 0.50 | 2013 |
| Possibilistic classifiers for numerical data | 17 | 0.66 | 2013 |
| Classification Based on Possibilistic Likelihood. | 0 | 0.34 | 2012 |
| Possibilistic KNN Regression Using Tolerance Intervals. | 4 | 0.46 | 2012 |
| Simultaneous interval regression for k-nearest neighbor | 3 | 0.79 | 2012 |
| Representing uncertainty by possibility distributions encoding confidence bands, tolerance and prediction intervals | 2 | 0.38 | 2012 |
| A Possibilistic Rule-Based Classifier. | 1 | 0.40 | 2012 |
| Possibilistic classifiers for uncertain numerical data | 2 | 0.37 | 2011 |
| Imprecise regression based on possibilistic likelihood | 3 | 0.44 | 2011 |
| Maximum-Likelihood Principle For Possibility Distributions Viewed As Families Of Probabilities | 9 | 0.72 | 2011 |
| Utilisation d'outils de visual data mining pour l'exploration d'un ensemble de règles d'association | 0 | 0.34 | 2011 |
| From Bayesian classifiers to possibilistic classifiers for numerical data | 8 | 0.57 | 2010 |
| Why Imprecise Regression: A Discussion | 1 | 0.40 | 2010 |
| An automatic generation of schematic maps to display flight routes for air traffic controllers: structure and color optimization | 8 | 0.56 | 2010 |
| Elicitating Sugeno Integrals: Methodology and a Case Study | 14 | 0.88 | 2009 |
| Elicitation of Sugeno Integrals: A Version Space Learning Perspective | 10 | 0.71 | 2009 |
| Génération et placement de couleurs sur une vue de type métro | 0 | 0.34 | 2009 |
| Improving inductive logic programming by using simulated annealing | 13 | 0.81 | 2008 |
| Agents that argue and explain classifications | 14 | 0.69 | 2008 |
| Bipolar version space learning | 7 | 0.54 | 2008 |
| Arguing and explaining classifications | 13 | 0.58 | 2007 |
| Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules | 6 | 0.45 | 2007 |
| A General Framework for Imprecise Regression | 4 | 0.59 | 2007 |
| Learning fuzzy rules with their implication operators | 17 | 0.69 | 2007 |
| Introducing possibilistic logic in ILP for dealing with exceptions | 7 | 0.54 | 2007 |
| Loi de fitts: prédiction du temps de pointage sous forme d'ensembles flous | 0 | 0.34 | 2007 |
| Imprecise Regression And Regression On Fuzzy Data - A Preliminary Discussion | 2 | 0.42 | 2006 |
| Version space learning for possibilistic hypotheses | 3 | 0.74 | 2006 |
| Coping with exceptions in multiclass ILP problems using possibilistic logic | 5 | 0.53 | 2005 |
| Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication | 1 | 0.35 | 2005 |
| Possibilistic inductive logic programming | 32 | 1.84 | 2005 |
| A Simulated Annealing Framework for ILP | 9 | 0.78 | 2004 |
| Getting adaptability or expressivity in inductive logic programming by using fuzzy predicates. | 1 | 0.38 | 2004 |
| Enriching Relational Learning with Fuzzy Predicates | 9 | 0.78 | 2003 |
| On the Induction of Different Kinds of First-Order Fuzzy Rules | 5 | 0.53 | 2003 |
