61 citations · 321 across the 27 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017★ 18 cited
Learning Credible Models
Jiaxuan Wang, Jeeheh Oh, Haozhu Wang +1
In many settings, it is important that a model be capable of providing reasons for its predictions (i.e., the model must be interpretable). However, the model's reasoning may not c…
cs.LG2017★ 7 cited
Contextual Motifs: Increasing the Utility of Motifs using Contextual Data
Ian Fox, Lynn Ang, Mamta Jaiswal +2
Motifs are a powerful tool for analyzing physiological waveform data. Standard motif methods, however, ignore important contextual information (e.g., what the patient was doing at…