Cássio Fraga Dantas

According to our database, Cássio Fraga Dantas authored at least 24 papers between 2017 and 2024.

Collaborative distances:

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

2024

Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms.

Saeideh Maleki, Nicolas N. Baghdadi, Sami Najem, Cássio Fraga Dantas, Hassan Bazzi, Dino Ienco

Remote. Sens., February, 2024

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning.

Dino Ienco, Cássio Fraga Dantas

CoRR, 2024

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers.

Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos

CoRR, 2024

Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning.

Cássio Fraga Dantas, Raffaele Gaetano, Claudia Paris, Dino Ienco

CoRR, 2024

Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling.

Cássio F. Dantas, Raffaele Gaetano, Dino Ienco

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin.

Bruno Bio Nikki Sarè, Raffaele Gaetano, Roberto Interdonato, Yvon Carmen Hountondji, Dino Ienco, Cássio Fraga Dantas

Proceedings of the IGARSS 2024, 2024

Rapeseed Fields Mapping Using Sentinel-1 Time Series.

Nicolas N. Baghdadi, Saeideh Maleki, Cássio Fraga Dantas, Sami Najem, Hassan Bazzi, Dino Ienco, Mehrez Zribi

Proceedings of the IGARSS 2024, 2024

2023

Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints.

Saeideh Maleki, Nicolas N. Baghdadi, Cássio Fraga Dantas, Sami Najem, Hassan Bazzi, Núria Pantaleoni Reluy, Dino Ienco, Mehrez Zribi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Sphere Refinement in Gap Safe Screening.

Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte

IEEE Signal Process. Lett., 2023

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.

Cássio F. Dantas, Diego Marcos, Dino Ienco

CoRR, 2023

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification.

Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Masking Strategies for Background Bias Removal in Computer Vision Models.

Ananthu Aniraj, Cássio F. Dantas, Dino Ienco, Diego Marcos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.

Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening.

Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte

CoRR, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Expanding Boundaries of Gap Safe Screening.

Cássio Fraga Dantas, Emmanuel Soubies, Cédric Févotte

J. Mach. Learn. Res., 2021

Safe Screening for Sparse Regression with the Kullback-Leibler Divergence.

Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Accelerating sparse inverse problems using structured approximations. (Approximations structurées pour l'accélération de problèmes inverses parcimonieux).

Cássio Fraga Dantas

PhD thesis, 2019

Stable Safe Screening and Structured Dictionaries for Faster ℓ₁ Regularization.

Cássio Fraga Dantas, Rémi Gribonval

IEEE Trans. Signal Process., 2019

Hyperspectral Image Denoising using Dictionary Learning.

Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising.

Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso.

Cássio Fraga Dantas, Rémi Gribonval

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions.

Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Learning Dictionaries as a Sum of Kronecker Products.

Cássio Fraga Dantas, Michele Nazareth da Costa, Renato da Rocha Lopes

IEEE Signal Process. Lett., 2017