| Benchopt: Reproducible, efficient and collaborative optimization benchmarks T Moreau, M Massias, A Gramfort, P Ablin, PABB Charlier, M Dagréou, ... Advances in Neural Information Processing Systems (NeurIPS), 2022 | 38 | 2022 |
| Learning dictionaries as a sum of Kronecker products CF Dantas, MN Da Costa, R da Rocha Lopes IEEE Signal Processing Letters 24 (5), 559-563, 2017 | 34 | 2017 |
| Expanding boundaries of Gap Safe screening CF Dantas, E Soubies, C Févotte Journal of Machine Learning Research 22 (236), 1-57, 2021 | 16 | 2021 |
| Safe screening for sparse regression with the Kullback-Leibler divergence CF Dantas, E Soubies, C Févotte IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 14 | 2021 |
| Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising CF Dantas, JE Cohen, R Gribonval EUSIPCO 2019 - 27th European Signal Processing Conference, 2019 | 14 | 2019 |
| Learning fast dictionaries for sparse representations using low-rank tensor decompositions CF Dantas, JE Cohen, R Gribonval Latent Variable Analysis and Signal Separation: 14th International …, 2018 | 12 | 2018 |
| On enhancing the pilot-aided sampling clock offset estimation of mobile OFDM systems CF Dantas, D Castro, CM Panazio Journal of Communication and Information Systems 31 (1), 2016 | 12 | 2016 |
| PDiscoNet: Semantically consistent part discovery for fine-grained recognition R van der Klis, S Alaniz, M Mancini, CF Dantas, D Ienco, Z Akata, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Stable Safe Screening and Structured Dictionaries for Faster Regularization CF Dantas, R Gribonval Ieee transactions on signal processing 67 (14), 3756-3769, 2019 | 7 | 2019 |
| Hyperspectral Image Denoising using Dictionary Learning CF Dantas, JE Cohen, R Gribonval WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing …, 2019 | 6 | 2019 |
| Dynamic screening with approximate dictionaries CF Dantas, R Gribonval XXVIème colloque GRETSI, 2017 | 6 | 2017 |
| Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints S Maleki, N Baghdadi, CF Dantas, S Najem, H Bazzi, NP Reluy, D Ienco, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 5 | 2023 |
| Faster and still safe: combining screening techniques and structured dictionaries to accelerate the Lasso CF Dantas, R Gribonval 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
| Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification CF Dantas, TF Drumond, D Marcos, D Ienco Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 4 | 2023 |
| Masking Strategies for Background Bias Removal in Computer Vision Models A Aniraj, CF Dantas, D Ienco, D Marcos ICCV Workshop: Out of Distribution Generalization in Computer Vision, 2023 | 4 | 2023 |
| Improvement on sampling clock offset estimation for mobile OFDM systems CF Dantas, DAL Castro, CM Panazio XXXIII Brazilian Telecommunications Symposium (SBrT), 557-561, 2015 | 4 | 2015 |
| Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms S Maleki, N Baghdadi, S Najem, CF Dantas, H Bazzi, D Ienco Remote Sensing 16 (3), 549, 2024 | 2 | 2024 |
| Towards Explainable Land Cover Mapping: a Counterfactual-based strategy CF Dantas, D Marcos, D Ienco ICLR Workshop: Machine Learning for Remote Sensing, 2023 | 2* | 2023 |
| Discom-kd: Cross-modal knowledge distillation via disentanglement representation and adversarial learning D Ienco, CF Dantas British Machine Vision Conference (BMVC), 2024 | 1 | 2024 |
| Sphere refinement in gap safe screening CF Dantas, E Soubies, C Févotte Ieee signal processing letters 30, 608-612, 2023 | 1 | 2023 |
Dino IencoUMR TETIS, EVERGREEN, INRAE, INRIAVerified email at inrae.fr
