Baptiste Lafabregue

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Multivariate Time Series Data

Experimental Study

Top Venues

Data Min. Knowl. Discov.

MACLEAN@PKDD/ECML

Publications

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
End-to-end deep representation learning for time series clustering: a comparative study. Data Min. Knowl. Discov. 36 (1) (2022)
Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier
Deep Clustering Methods Study Applied to Satellite Images Time Series. IGARSS (2022)
Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier
Incremental constrained clustering with application to remote sensing images time series. ICDM (Workshops) (2022)
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
Grad Centroid Activation Mapping for Convolutional Neural Networks. ICTAI (2021)
Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier
FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles. EGC (2020)
Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier
Deep Constrained Clustering applied to Satellite Image Time Series. MACLEAN@PKDD/ECML (2019)
Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski
Constrained Distance based K-Means Clustering for Satellite Image Time-Series. IGARSS (2019)
Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski
Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (11) (2019)
Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski
Constrained distance based clustering for time-series: a comparative and experimental study. Data Min. Knowl. Discov. 32 (6) (2018)