Baptiste Lafabregue

18 papers B 1C 3Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Visualization for Comparative Analysis of Regression Models.
CoRR
Nassime Mountasir, Baptiste Lafabregue, Bruno Albert, Nicolas Lachiche
2025 — conf
Apprendre avec peu d'exemples : Une approche auto-supervisée basée sur les segments avec application à la télédétection.
EGC
Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025 C conf
Dynamic Time Warping-Based Evidential Clustering of Time Series with c-Medoids.
ICMLA
Eya Laffet, Ahmed Samet, Mohamed Anis Bach Tobji, Baptiste Lafabregue, François de Bertrand de Beuvron
2025 — ed.
Extraction et Gestion des Connaissances, EGC 2025, Strasbourg, France, January 29-31, 2025.
Strasbourg, France
Thomas Guyet, Baptiste Lafabregue, Aurélie Leborgne
2025 J jnl
I-SAMARAH, an incremental constrained clustering applied to remote sensing images.
Neural Comput. Appl.
Baptiste Lafabregue, Pierre Gançarski
2025 — conf
Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing.
TerraBytes
Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2025 J jnl
Resampling Augmentation for Time Series Contrastive Learning: Application to Remote Sensing.
CoRR
Antoine Saget, Baptiste Lafabregue, Antoine Cornuéjols, Pierre Gançarski
2024 — conf
Écrêter la valeur cible ou filtrer les données en maintenance prévisionnelle : exemple de C-MAPSS.
EGC
Nassime Mountasir, Baptiste Lafabregue, Bruno Albert, Nicolas Lachiche
2022 C conf
Deep Clustering Methods Study Applied to Satellite Images Time Series.
IGARSS
Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier
2022 J jnl
End-to-end deep representation learning for time series clustering: a comparative study.
Data Min. Knowl. Discov.
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2022 — conf
Incremental constrained clustering with application to remote sensing images time series.
ICDM (Workshops)
Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier
2021 — —
Clustering et apprentissage profond sous contraintes pour l'analyse de séries temporelles: application à l'analyse temporelle incrémentale en télédétection. (Constrained clustering and deep learning for time series analysis: with application to incremental temporal analysis for remote sensing).
Baptiste Lafabregue
2021 B conf
Grad Centroid Activation Mapping for Convolutional Neural Networks.
ICTAI
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2020 — conf
FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles.
EGC
Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier
2019 C conf
Constrained Distance based K-Means Clustering for Satellite Image Time-Series.
IGARSS
Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski
2019 J jnl
Constrained Distance-Based Clustering for Satellite Image Time-Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
2019 — conf
Deep Constrained Clustering applied to Satellite Image Time Series.
MACLEAN@PKDD/ECML
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
2018 J jnl
Constrained distance based clustering for time-series: a comparative and experimental study.
Data Min. Knowl. Discov.
Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski