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cs.LG2024
Output-Constrained Decision Trees
Hüseyin Tunç, Doğanay Özese, Ş. İlker Birbil +3
Incorporating domain-specific constraints into machine learning models is essential for generating predictions that are both accurate and feasible in real-world applications. This…
cs.LG2023★ 1 cited
Fixing confirmation bias in feature attribution methods via semantic match
Giovanni Cinà, Daniel Fernandez-Llaneza, Ludovico Deponte +6
Feature attribution methods have become a staple method to disentangle the complex behavior of black box models. Despite their success, some scholars have argued that such methods…