Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality

no code implementations • 16 Feb 2023 • Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding

This paper demonstrates the importance of XAI methods in cross-validation of feature attributions.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2

Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks

no code implementations • 15 Jan 2020 • Nilavra Bhattacharya, Somnath Rakshit, Jacek Gwizdka, Paul Kogut

The trained classifier is used to predict participants' perceived-relevance of news articles from the corresponding scanpath images.

General Classification Image Classification

Relating Eye-Tracking Measures With Changes In Knowledge on Search Tasks

no code implementations • 7 May 2018 • Nilavra Bhattacharya, Jacek Gwizdka

Our results show that the participants with higher change in knowledge differ significantly in terms of their total reading-sequence-length, reading-sequence-duration, and number of reading fixations, when compared to participants with lower knowledge-change.