Baptiste Lafabregue

According to our database, Baptiste Lafabregue authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

End-to-end deep representation learning for time series clustering: a comparative study.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Data Min. Knowl. Discov., 2022

Deep Clustering Methods Study Applied to Satellite Images Time Series.

Baptiste Lafabregue, Anne Puissant, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Incremental constrained clustering with application to remote sensing images time series.

Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

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

PhD thesis, 2021

Grad Centroid Activation Mapping for Convolutional Neural Networks.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

FODOMUST - Une plateforme de clustering collaboratif sous contraintes incrémental de séries temporelles.

Pierre Gançarski, Baptiste Lafabregue, Abdoul-Djawadou Salaou, Harrison Vernier

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Constrained Distance-Based Clustering for Satellite Image Time-Series.

Thomas Andrew Lampert, Baptiste Lafabregue, Thi-Bich-Hanh Dao, Nicolas Serrette, Christel Vrain, Pierre Gançarski

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Deep Constrained Clustering applied to Satellite Image Time Series.

Baptiste Lafabregue, Jonathan Weber, Pierre Gançarski, Germain Forestier

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Constrained Distance based K-Means Clustering for Satellite Image Time-Series.

Thomas Andrew Lampert, Baptiste Lafabregue, Pierre Gançarski

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Constrained distance based clustering for time-series: a comparative and experimental study.

Thomas Andrew Lampert, Thi-Bich-Hanh Dao, Baptiste Lafabregue, Nicolas Serrette, Germain Forestier, Bruno Crémilleux, Christel Vrain, Pierre Gançarski

Data Min. Knowl. Discov., 2018