Sérgio Jesus
Sérgio Jesus
Verified email at
Cited by
Cited by
How can I choose an explainer? An application-grounded evaluation of post-hoc explanations
S Jesus, C Belém, V Balayan, J Bento, P Saleiro, P Bizarro, J Gama
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 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
On the importance of application-grounded experimental design for evaluating explainable ML methods
K Amarasinghe, KT Rodolfa, S Jesus, V Chen, V Balayan, P Saleiro, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 20921 …, 2024
Fairgbm: Gradient boosting with fairness constraints
AF Cruz, C Belém, S Jesus, J Bravo, P Saleiro, P Bizarro
arXiv preprint arXiv:2209.07850, 2022
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies
A Martin, V Chen, S Jesus, P Saleiro
arXiv preprint arXiv:2302.07444, 2023
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints
JV Alves, D Leitão, S Jesus, MOP Sampaio, J Liébana, P Saleiro, ...
arXiv preprint arXiv:2403.06906, 2024
Addressing bias and fairness in machine learning: A practical guide and hands-on tutorial
R Ghani, KT Rodolfa, P Saleiro, S Jesus
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Human-in-the-loop evaluation for explainable artificial intelligence
SGP Jesus, CG Belém, V Balayan, DN Polido, JPB Sousa, J Carvalhais, ...
US Patent App. 17/382,075, 2022
Aequitas Flow: Streamlining Fair ML Experimentation
S Jesus, P Saleiro, BM Jorge, RP Ribeiro, J Gama, P Bizarro, R Ghani
arXiv preprint arXiv:2405.05809, 2024
FiFAR: A Fraud Detection Dataset for Learning to Defer
JV Alves, D Leitão, S Jesus, MOP Sampaio, P Saleiro, MAT Figueiredo, ...
arXiv preprint arXiv:2312.13218, 2023
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
DeCCaF: Deferral Under Cost and Capacity Constraints Framework
JV Alves, D Leitão, S Jesus, MOP Sampaio, P Saleiro, MAT Figueiredo, ...
fairbench: An Open Benchmark for Fair Machine Learning on Tabular Data
AF Cruz, S Jesus, D Alves, J Pombal, J Veiga, C Belém, J Bravo, ...
The system can't perform the operation now. Try again later.
Articles 1–13