34 citations · 77 across the 12 of their papers we have counts for
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cs.LG2018★ 25 cited
Explaining Black Boxes on Sequential Data using Weighted Automata
Stephane Ayache, Remi Eyraud, Noe Goudian
Understanding how a learned black box works is of crucial interest for the future of Machine Learning. In this paper, we pioneer the question of the global interpretability of lear…
cs.CV2018★ 34 cited
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah +14
Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analy…