12 citations · 24 across the 6 of their papers we have counts for
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cs.LG2023★ 6 cited
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Daniel G. Krakowczyk, Paul Prasse, David R. Reich +3
Recent work in XAI for eye tracking data has evaluated the suitability of feature attribution methods to explain the output of deep neural sequence models for the task of oculomotr…
cs.LG2012★ 12 cited
Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr +1
This paper addresses the problem of inferring a regular expression from a given set of strings that resembles, as closely as possible, the regular expression that a human expert wo…