Learning Decoupled Representations for Human Pose Forecasting. - Behnam Parsaeifard; Saeed Saadatnejad; Yuejiang Liu; Taylor Mordan; Alexandre Alahi (ICCVW, 2021)

An assessment of the structural resolution of various fingerprints commonly used in machine learning. - Behnam Parsaeifard; Deb Sankar De; Anders S. Christensen; Felix A. Faber; Emir Kocer; Sandip De; Jörg Behler; O. Anatole von Lilienfeld; Stefan Goedecker (Mach. Learn. Sci. Technol., 2021)

Work-in-Progress-Motion Tracking Data as a Proxy for Cognitive Load in Immersive Learning. - Ivan Moser; Ioan-Sorin Comsa; Behnam Parsaeifard; Per Bergamin (iLRN, 2022)

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models. - Christof Imhof; Ioan-Sorin Comsa; Martin Hlosta; Behnam Parsaeifard; Ivan Moser; Per Bergamin (IEEE Trans. Learn. Technol., 2023)

Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education. - Behnam Parsaeifard; Christof Imhof; Tansu Pancar; Ioan-Sorin Comsa; Martin Hlosta; Nicole Bergamin; Per Bergamin (CoRR, 2025)

Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models. - Behnam Parsaeifard; Martin Hlosta; Per Bergamin (CoRR, 2025)