Cássio F. Dantas

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Linear Regression

Multiple Classes

Top Venues

IEEE Signal Process. Lett.

ICCV (Workshops)

Publications

Cássio F. Dantas, Raffaele Gaetano, Dino Ienco
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling. CoRR (2024)
Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. CoRR (2024)
Cássio F. Dantas, Diego Marcos, Dino Ienco
Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. CoRR (2023)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Sphere Refinement in Gap Safe Screening. IEEE Signal Process. Lett. 30 (2023)
Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos
Masking Strategies for Background Bias Removal in Computer Vision Models. ICCV (Workshops) (2023)
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR (2023)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening. CoRR (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Expanding boundaries of Gap Safe screening. CoRR (2021)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Safe Screening for Sparse Regression with the Kullback-Leibler Divergence. ICASSP (2021)