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Deep Distributional Sequence Embeddings Based on a Wasserstein Loss
In this paper, we study deep distributional embeddings of sequences, where the embedding of a sequence is given by the distribution of learned deep features across the sequence.
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements
We study whether a Fisher-SVM with this Fisher kernel and several reference methods are able to identify readers and estimate their level of text comprehension based on eye-tracking data.
A Semiparametric Model for Bayesian Reader Identification
We study the problem of identifying individuals based on their characteristic gaze patterns during reading of arbitrary text.
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