2 papers
cs.LG2026
A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +2
Evaluating foundation models under appropriate adaptation settings is essential for understanding the quality and transferability of the learned representations. Recent EEG foundat…
cs.AI2025
AffectEval: A Modular and Customizable Framework for Affective Computing
Emily Zhou, Khushboo Khatri, Yixue Zhao +1
The field of affective computing focuses on recognizing, interpreting, and responding to human emotions, and has broad applications across education, child development, and human h…