CONF-LA delivers a low-latency online method for line assignment in noisy gaze data that narrows the online-offline performance gap to 1-2% and reaches ~95% median accuracy on children's data.
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Hybrid models that add persistent-homology features from fixation time series to traditional statistical features outperform purely statistical baselines for dyslexia detection on the Copenhagen Corpus.
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Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
CONF-LA delivers a low-latency online method for line assignment in noisy gaze data that narrows the online-offline performance gap to 1-2% and reaches ~95% median accuracy on children's data.
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Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection
Hybrid models that add persistent-homology features from fixation time series to traditional statistical features outperform purely statistical baselines for dyslexia detection on the Copenhagen Corpus.