Riwal Lefort

According to our database, Riwal Lefort authored at least 15 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Benefits of Using Multiple Post-Hoc Explanations for Machine Learning.

Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example.

Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2019

Prédiction d'événements distants basée sur des règles séquentielles.

Lina Fahed, Philippe Lenca, Yannis Haralambous, Riwal Lefort, Marie-Laure Tallec

Proceedings of the Extraction et Gestion des connaissances, 2019

2017

Machine learning-based tools to model and to remove the off-target effect.

Riwal Lefort, Ludovico Fusco, Olivier Pertz, François Fleuret

Pattern Anal. Appl., 2017

Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network.

Dorian Cazau, Riwal Lefort, Julien Bonnel, Jean-Luc Zarader, Olivier Adam

CoRR, 2017

Sub-antenna sparse processing for coherence loss in underwater source localization.

Riwal Lefort, Angélique Dremeau

Proceedings of the 25th European Signal Processing Conference, 2017

2013

treeKL: A distance between high dimension empirical distributions.

Riwal Lefort, François Fleuret

Pattern Recognit. Lett., 2013

2012

Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics.

Riwal Lefort, Ronan Fablet, Laurent Berger, Jean-Marc Boucher

IEEE Geosci. Remote. Sens. Lett., 2012

A tree-based distance between distributions: Application to classification of neurons.

Riwal Lefort, François Fleuret

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif.

Riwal Lefort, Ronan Fablet, Jean-Marc Boucher

Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Object recognition using proportion-based prior information: Application to fisheries acoustics.

Riwal Lefort, Ronan Fablet, Jean-Marc Boucher

Pattern Recognit. Lett., 2011

2010

Weakly supervised learning with decision trees applied to fisheries acoustics.

Riwal Lefort, Ronan Fablet, Jean-Marc Boucher

Proceedings of the IEEE International Conference on Acoustics, 2010

Weakly Supervised Classification of Objects in Images Using Soft Random Forests.

Riwal Lefort, Ronan Fablet, Jean-Marc Boucher

Proceedings of the Computer Vision, 2010

2009

Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics.

Riwal Lefort, Ronan Fablet, Imen Karoui, Jean-Marc Boucher

Proceedings of the International Conference on Image Processing, 2009

2008

Weakly supervised learning using proportion-based information: An application to fisheries acoustics.

Ronan Fablet, Riwal Lefort, Carla Scalarin, Jacques Masse, Paul Cauchy, Jean-Marc Boucher

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008