Minimax Pareto Fairness: A Multi Objective Perspective N Martinez, M Bertran, G Sapiro International Conference on Machine Learning, 6755-6764, 2020 | 190 | 2020 |
Adversarially learned representations for information obfuscation and inference M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Reeves, ... International Conference on Machine Learning, 614-623, 2019 | 67 | 2019 |
Blind Pareto Fairness and Subgroup Robustness NL Martinez, MA Bertran, A Papadaki, M Rodrigues, G Sapiro International Conference on Machine Learning, 7492-7501, 2021 | 35 | 2021 |
Minimax demographic group fairness in federated learning A Papadaki, N Martinez, M Bertran, G Sapiro, M Rodrigues Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 34 | 2022 |
Attention-Based Network for Weak Labels in Neonatal Seizure Detection DY Isaev, D Tchapyjnikov, CM Cotten, D Tanaka, N Martinez, M Bertran, ... Proceedings of machine learning research 126, 479, 2020 | 26 | 2020 |
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare N Martinez, M Bertran, G Sapiro arXiv preprint arXiv:1911.06935, 2019 | 26 | 2019 |
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video N Martinez, M Bertran, G Sapiro, HT Wu 2019 IEEE International Conference on Image Processing (ICIP), 2020-2024, 2019 | 23 | 2019 |
A Survey on Statistical, Information, and Estimation—Theoretic Views on Privacy H Hsu, N Martinez, M Bertran, G Sapiro, FP Calmon IEEE BITS the Information Theory Magazine 1 (1), 45-56, 2021 | 15 | 2021 |
Instance-based generalization in reinforcement learning M Bertran, N Martinez, M Phielipp, G Sapiro Advances in Neural Information Processing Systems 33, 11333-11344, 2020 | 14 | 2020 |
Federating for Learning Group Fair Models A Papadaki, N Martinez, M Bertran, G Sapiro, M Rodrigues arXiv preprint arXiv:2110.01999, 2021 | 12 | 2021 |
An open tool for input function estimation and quantification of dynamic PET FDG brain scans M Bertrán, N Martínez, G Carbajal, A Fernández, Á Gómez International journal of computer assisted radiology and surgery 11, 1419-1430, 2016 | 8 | 2016 |
Impartial: Partial annotations for cell instance segmentation N Martinez, G Sapiro, A Tannenbaum, TJ Hollmann, S Nadeem bioRxiv, 2021.01. 20.427458, 2021 | 5 | 2021 |
Active learning of cortical connectivity from two-photon imaging data MA Bertrán, NL Martínez, Y Wang, D Dunson, G Sapiro, D Ringach PloS one 13 (5), e0196527, 2018 | 5 | 2018 |
Learning to Collaborate for User-Controlled Privacy M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Sapiro arXiv preprint arXiv:1805.07410, 2018 | 2 | 2018 |
Federated Fairness without Access to Sensitive Groups A Papadaki, N Martinez, M Bertran, G Sapiro, M Rodrigues arXiv preprint arXiv:2402.14929, 2024 | 1 | 2024 |
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases G Ganapavarapu, S Mukherjee, N Martinez Gil, K Sarpatwar, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
Federated Fairness without Access to Demographics A Papadaki, N Martinez, MA Bertran, G Sapiro, MRD Rodrigues Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 1 | 2022 |
Distributionally Robust Group Backwards Compatibility M Bertran, N Martinez, A Oesterling, G Sapiro arXiv preprint arXiv:2112.10290, 2021 | 1 | 2021 |
Learning data-derived privacy preserving representations from information metrics M Bertran, N Martinez, A Papadaki, Q Qiu, M Rodrigues, G Sapiro | 1 | 2018 |
A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain M González, J Schandy, N Wainstein, M Bertrán, N Martínez, L Barboni, ... Activity Monitoring by Multiple Distributed Sensing: Second International …, 2014 | 1 | 2014 |