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 (ICPR, 2008)

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 (ICIP, 2009)

Weakly Supervised Classification of Objects in Images Using Soft Random Forests. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (ECCV (4), 2010)

Weakly supervised learning with decision trees applied to fisheries acoustics. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (ICASSP, 2010)

Object recognition using proportion-based prior information: Application to fisheries acoustics. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (Pattern Recognit. Lett., 2011)

Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif. - Riwal Lefort; Ronan Fablet; Jean-Marc Boucher (Fouille de données complexes, 2011)

A tree-based distance between distributions: Application to classification of neurons. - Riwal Lefort; François Fleuret (ICASSP, 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)

treeKL: A distance between high dimension empirical distributions. - Riwal Lefort; François Fleuret (Pattern Recognit. Lett., 2013)

Sub-antenna sparse processing for coherence loss in underwater source localization. - Riwal Lefort; Angélique Dremeau (EUSIPCO, 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)

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)

Prédiction d'événements distants basée sur des règles séquentielles. - Lina Fahed; Philippe Lenca; Yannis Haralambous; Riwal Lefort; Marie-Laure Tallec (EGC, 2019)

Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example. - Corentin Boidot; Olivier Augereau; Pierre De Loor; Riwal Lefort (PKDD/ECML Workshops (1), 2022)

Benefits of Using Multiple Post-Hoc Explanations for Machine Learning. - Corentin Boidot; Olivier Augereau; Pierre De Loor; Riwal Lefort (ICMLA, 2023)