Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning

SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series

The Influence of Automated Narrative Feedback on Student-Designed Gamified Research

Developing Automated Audio Assessment Tools for a Chinese Language Course

Attention-based Deep Learning Models for Text Classification and their Interpretability

Ranking for Decision Making: Fairness and Usability

Contextual Outlier Detection from Heterogeneous Data Sources

Development of a Data-Grounded Theory of Program Design in HTDP

Single-Use Servers: A Generalized Design for Eliminating the Confused Deputy Problem in Networked Services