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2020 – today
- 2023
[c9]Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort:
Benefits of Using Multiple Post-Hoc Explanations for Machine Learning. ICMLA 2023: 794-799- 2022
- [c8]Corentin Boidot
, Olivier Augereau, Pierre De Loor, Riwal Lefort:
Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example. PKDD/ECML Workshops (1) 2022: 452-466
2010 – 2019
- 2019
- [c7]Lina Fahed, Philippe Lenca, Yannis Haralambous, Riwal Lefort, Marie-Laure Tallec:
Prédiction d'événements distants basée sur des règles séquentielles. EGC 2019: 309-314 - 2017
- [j4]Riwal Lefort, Ludovico Fusco, Olivier Pertz, François Fleuret:
Machine learning-based tools to model and to remove the off-target effect. Pattern Anal. Appl. 20(1): 87-100 (2017) - [c6]Riwal Lefort, Angélique Dremeau:
Sub-antenna sparse processing for coherence loss in underwater source localization. EUSIPCO 2017: 2413-2417 - [i1]Dorian Cazau, Riwal Lefort, Julien Bonnel, Jean-Luc Zarader, Olivier Adam:
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network. CoRR abs/1703.10887 (2017) - 2013
- [j3]Riwal Lefort, François Fleuret:
treeKL: A distance between high dimension empirical distributions. Pattern Recognit. Lett. 34(2): 140-145 (2013) - 2012
- [j2]Riwal Lefort, Ronan Fablet, Laurent Berger, Jean-Marc Boucher:
Spatial Statistics of Objects in 3-D Sonar Images: Application to Fisheries Acoustics. IEEE Geosci. Remote. Sens. Lett. 9(1): 56-59 (2012) - [c5]Riwal Lefort, François Fleuret:
A tree-based distance between distributions: Application to classification of neurons. ICASSP 2012: 2237-2240 - 2011
- [j1]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Object recognition using proportion-based prior information: Application to fisheries acoustics. Pattern Recognit. Lett. 32(2): 153-158 (2011) - [p1]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Classification faiblement supervisée : arbre de décision probabiliste et apprentissage itératif. Fouille de données complexes 2011: 171-192 - 2010
- [c4]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Weakly Supervised Classification of Objects in Images Using Soft Random Forests. ECCV (4) 2010: 185-198 - [c3]Riwal Lefort, Ronan Fablet, Jean-Marc Boucher:
Weakly supervised learning with decision trees applied to fisheries acoustics. ICASSP 2010: 2254-2257
2000 – 2009
- 2009
- [c2]Riwal Lefort, Ronan Fablet, Imen Karoui, Jean-Marc Boucher:
Combining image-level and object-level inference for weakly supervised object recognition. Application to fisheries acoustics. ICIP 2009: 293-296 - 2008
- [c1]Ronan Fablet, Riwal Lefort, Carla Scalarin, Jacques Masse, Paul Cauchy, Jean-Marc Boucher:
Weakly supervised learning using proportion-based information: An application to fisheries acoustics. ICPR 2008: 1-4
Coauthor Index
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