Riwal Lefort

15 papers B 2C 1Misc 2Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2023 C conf
Benefits of Using Multiple Post-Hoc Explanations for Machine Learning.
ICMLA
Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort
2022 — conf
Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example.
PKDD/ECML Workshops (1)
Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort
2019 — conf
Prédiction d'événements distants basée sur des règles séquentielles.
EGC
Lina Fahed, Philippe Lenca, Yannis Haralambous, Riwal Lefort, Marie-Laure Tallec
2017 J jnl
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network.
CoRR
Dorian Cazau, Riwal Lefort, Julien Bonnel, Jean-Luc Zarader, Olivier Adam
2017 J jnl
Machine learning-based tools to model and to remove the off-target effect.
Pattern Anal. Appl.
Riwal Lefort, Ludovico Fusco, Olivier Pertz, François Fleuret
2017 — conf
Sub-antenna sparse processing for coherence loss in underwater source localization.
EUSIPCO
Riwal Lefort, Angélique Dremeau
2013 J jnl
treeKL: A distance between high dimension empirical distributions.
Pattern Recognit. Lett.
Riwal Lefort, François Fleuret
2012 Misc conf
A tree-based distance between distributions: Application to classification of neurons.
ICASSP
Riwal Lefort, François Fleuret
2012 J jnl
Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics.
IEEE Geosci. Remote. Sens. Lett.
Riwal Lefort, Ronan Fablet, Laurent Berger, Jean-Marc Boucher
2011 — ch.
Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif.
Fouille de données complexes
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2011 J jnl
Object recognition using proportion-based prior information: Application to fisheries acoustics.
Pattern Recognit. Lett.
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2010 — conf
Weakly Supervised Classification of Objects in Images Using Soft Random Forests.
ECCV (4)
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2010 Misc conf
Weakly supervised learning with decision trees applied to fisheries acoustics.
ICASSP
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
2009 B conf
Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics.
ICIP
Riwal Lefort, Ronan Fablet, Imen Karoui, Jean-Marc Boucher
2008 B conf
Weakly supervised learning using proportion-based information: An application to fisheries acoustics.
ICPR
Ronan Fablet, Riwal Lefort, Carla Scalarin, Jacques Masse, Paul Cauchy, Jean-Marc Boucher