TimeSHAP: Explaining Recurrent Models through Sequence Perturbations J Bento, P Saleiro, AF Cruz, MAT Figueiredo, P Bizarro Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 87 | 2021 |
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation S Jesus, J Pombal, D Alves, A Cruz, P Saleiro, R Ribeiro, J Gama, ... Advances in Neural Information Processing Systems 35, 33563-33575, 2022 | 27 | 2022 |
Promoting Fairness through Hyperparameter Optimization AF Cruz, P Saleiro, C Belém, C Soares, P Bizarro 2021 IEEE International Conference on Data Mining (ICDM), 2021 | 25 | 2021 |
Team Fernando-Pessa at SemEval-2019 Task 4: Back to Basics in Hyperpartisan News Detection A Cruz, G Rocha, R Sousa-Silva, HL Cardoso Proceedings of the 13th International Workshop on Semantic Evaluation, 999-1003, 2019 | 21 | 2019 |
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings AF Cruz, G Rocha, HL Cardoso Proceedings of the Second Workshop on Natural Language Processing for …, 2019 | 20 | 2019 |
Exploring Spanish Corpora for Portuguese Coreference Resolution AF Cruz, G Rocha, HL Cardoso 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 20 | 2018 |
Coreference Resolution: Toward End-to-End and Cross-Lingual Systems A Ferreira Cruz, G Rocha, H Lopes Cardoso Information 11 (2), 74, 2020 | 19 | 2020 |
FairGBM: Gradient Boosting with Fairness Constraints AF Cruz, C Belém, J Bravo, P Saleiro, P Bizarro The Eleventh International Conference on Learning Representations, ICLR 2023, 2023 | 15 | 2023 |
On document representations for detection of biased news articles AF Cruz, G Rocha, HL Cardoso Proceedings of the 35th Annual ACM Symposium on Applied Computing, 892-899, 2020 | 14 | 2020 |
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization AF Cruz, P Saleiro, C Belém, C Soares, P Bizarro ICLR-21 Workshop on Responsible AI, 2020 | 12* | 2020 |
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions J Pombal, AF Cruz, J Bravo, P Saleiro, MAT Figueiredo, P Bizarro KDD'22 Workshop on Machine Learning in Finance, 2022 | 5 | 2022 |
Unprocessing Seven Years of Algorithmic Fairness AF Cruz, M Hardt The Twelfth International Conference on Learning Representations, ICLR 2024, 2024 | 4 | 2024 |
Fairness-Aware Hyperparameter Optimization AMF da Cruz University of Porto, 2020 | 4 | 2020 |
HERMES: a Tool for Mesoscopic Simulation of Advanced Traveller Information Systems A Cruz, E Carneiro, X Fontes, Z Kokkinogenis, RJF Rossetti 2019 IEEE International Smart Cities Conference (ISC2), 638-643, 2019 | 4 | 2019 |
Model-agnostic approach to interpreting sequence predictions JPB Sousa, P dos Santos Saleiro, AMF da Cruz, PGSR Bizarro US Patent App. 17/500,310, 2022 | 3 | 2022 |
Constrained optimization for gradient boosting machines AMF da Cruz, CG Belém, P dos Santos Saleiro, PGSR Bizarro, ... US Patent App. 17/825,885, 2023 | 1 | 2023 |
Evaluating language models as risk scores AF Cruz, M Hardt, C Mendler-Dünner arXiv preprint arXiv:2407.14614, 2024 | | 2024 |
Obtaining a generated dataset with a predetermined bias for evaluating algorithmic fairness of a machine learning model SGP Jesus, DMR dos Santos Marques, JMPRC Pombal, AMF da Cruz, ... US Patent 11,734,612, 2023 | | 2023 |
Bandit-based techniques for fairness-aware hyperparameter optimization AMF da Cruz, P dos Santos Saleiro, PGSR Bizarro, ... US Patent App. 17/370,747, 2022 | | 2022 |