5 citations · 9 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
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…
cs.CY2024★ 2 cited
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
Catalina Vajiac, Arun Frey, Joachim Baumann +5
Rental assistance programs provide individuals with financial assistance to prevent housing instabilities caused by evictions and avert homelessness. Since these programs operate u…