Learning Dictionaries as a Sum of Kronecker Products. - Cássio Fraga Dantas; Michele Nazareth da Costa; Renato da Rocha Lopes (IEEE Signal Process. Lett., 2017)

Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (LVA/ICA, 2018)

Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso. - Cássio Fraga Dantas; Rémi Gribonval (ICASSP, 2018)

Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (EUSIPCO, 2019)

Hyperspectral Image Denoising using Dictionary Learning. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (WHISPERS, 2019)

Stable Safe Screening and Structured Dictionaries for Faster ℓ1 Regularization. - Cássio Fraga Dantas; Rémi Gribonval (IEEE Trans. Signal Process., 2019)

Accelerating sparse inverse problems using structured approximations. (Approximations structurées pour l'accélération de problèmes inverses parcimonieux). - Cássio Fraga Dantas (2019)

Safe Screening for Sparse Regression with the Kullback-Leibler Divergence. - Cássio F. Dantas; Emmanuel Soubies; Cédric Févotte (ICASSP, 2021)

Expanding Boundaries of Gap Safe Screening. - Cássio Fraga Dantas; Emmanuel Soubies; Cédric Févotte (J. Mach. Learn. Res., 2021)

Benchopt: Reproducible, efficient and collaborative optimization benchmarks. - Thomas Moreau 001; 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 002; et al. (NeurIPS, 2022)

Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening. - Cássio F. Dantas; Emmanuel Soubies; Cédric Févotte (CoRR, 2022)

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 (ICCV, 2023)

Masking Strategies for Background Bias Removal in Computer Vision Models. - Ananthu Aniraj; Cássio F. Dantas; Dino Ienco; Diego Marcos (ICCV (Workshops), 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 (ECML/PKDD (7), 2023)

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting. - Cássio F. Dantas; Diego Marcos; Dino Ienco (CoRR, 2023)

Sphere Refinement in Gap Safe Screening. - Cássio F. Dantas; Emmanuel Soubies; Cédric Févotte (IEEE Signal Process. Lett., 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)

DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning. - Dino Ienco; Cássio Fraga Dantas (BMVC, 2024)

PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (ECCV (85), 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 (IGARSS, 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 (IGARSS, 2024)

Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling. - Cássio F. Dantas; Raffaele Gaetano; Dino Ienco (ECML/PKDD (3), 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)

Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images. - Saeideh Maleki; Nicolas N. Baghdadi; Hassan Bazzi; Cássio Fraga Dantas; Dino Ienco; Yasser Nasrallah; Sami Najem (Remote. Sens., 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., 2024)

Transfer Land Cover Maps Across Years: A Time Series-based Semantic Segmentation Approach. - Christopher Jabea; Roberto Interdonato; Cássio F. Dantas; Dino Ienco; Flavie Cernesson; Eric Barbe; Nadia Guiffant; Christiane Weber (JURSE, 2025)

Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation. - Francisco Alejandro Mena; Dino Ienco; Cássio F. Dantas; Roberto Interdonato; Andreas Dengel 001 (IEEE Access, 2025)

Reuse Out-of-Year Data to Enhance Land Cover Mapping via Feature Disentanglement and Contrastive Learning. - Cássio F. Dantas; Raffaelle Gaetano; Claudia Paris; Dino Ienco (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover Mapping. - Babak Ghassemi; Cássio Fraga Dantas; Raffaele Gaetano; Dino Ienco; Omid Ghorbanzadeh; Emma Izquierdo-Verdiguier; Francesco Vuolo (CoRR, 2025)

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation. - Roger Ferrod; Cássio F. Dantas; Luigi Di Caro; Dino Ienco (CoRR, 2025)

Inherently Faithful Attention Maps for Vision Transformers. - Ananthu Aniraj; Cássio Fraga Dantas; Dino Ienco; Diego Marcos (CoRR, 2025)