Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods TP Pagano, RB Loureiro, FVN Lisboa, RM Peixoto, GAS Guimarães, ... Big data and cognitive computing 7 (1), 15, 2023 | 64 | 2023 |
Bias and unfairness in machine learning models: a systematic literature review TP Pagano, RB Loureiro, FVN Lisboa, GOR Cruz, RM Peixoto, ... arXiv preprint arXiv:2202.08176, 2022 | 21 | 2022 |
Context-based patterns in machine learning bias and fairness metrics: A sensitive attributes-based approach TP Pagano, RB Loureiro, FVN Lisboa, GOR Cruz, RM Peixoto, ... Big data and cognitive computing 7 (1), 27, 2023 | 6 | 2023 |
GA d. S. Guimaraes TP Pagano, RB Loureiro, FVN Lisboa, GOR Cruz, RM Peixoto arXiv preprint arXiv:2202.08176, 0 | 5 | |
Machine Learning for Object and Action Recognition in Augmented and Mixed Reality: A Literature Review I Chamusca, I Winkler, T Pagano, R Loureiro, A Santos, T Murari Preprints, 2023 | 1 | 2023 |
Ambiente de Realidade Virtual para desenvolvimento integrado de novos produtos na indústria automotiva.-BUCK RV NM Lisboa Junior, LL Ortega, PHM Sá, PC Marcelo, PHAM Costa, ... SENAI CIMATEC, 2022 | | 2022 |
Bias and unfairness in machine learning models: a systematic literature review T Palma Pagano, R Bessa Loureiro, F Vitória Nascimento Lisboa, ... arXiv e-prints, arXiv: 2202.08176, 2022 | | 2022 |
EFFICIENT DEPLOYMENT OF MACHINE LEARNING MODELS ON MICROCONTROLLERS: A COMPARATIVE STUDY OF QUANTIZATION AND PRUNING STRATEGIES. RB Loureiro, PHM Sá, FV Nascimento, RMP Lisboa, LFS Nascimento, ... | | |
IMAGE SEGMENTATION FOR PEOPLE IDENTIFICATION: AN EVALUATION OF UNSUPERVISED TECHNIQUES LL dos Santos, T Pagano, J Vacaro, R Loureiro, N Junior, G da Cunha, ... | | |