4 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
Histogram Approaches for Imbalanced Data Streams Regression
Ehsan Aminian, Rita P. Ribeiro, Joao Gama
Imbalanced domains pose a significant challenge in real-world predictive analytics, particularly in the context of regression. While existing research has primarily focused on batc…
Aequitas Flow: Streamlining Fair ML Experimentation
Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva +5
Aequitas Flow is an open-source framework and toolkit for end-to-end Fair Machine Learning (ML) experimentation, and benchmarking in Python. This package fills integration gaps tha…
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
João Gama, Rita P. Ribeiro, Saulo Mastelini +2
Predictive Maintenance applications are increasingly complex, with interactions between many components. Black box models are popular approaches based on deep learning techniques d…