activity
20222026
most citedPrediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Toward using Speech to Sense Student Emotion in Remote Learning Environments

Sargam Vyas, Bogdan Vlasenko, André Mayoraz +3

With advancements in multimodal communication technologies, remote learning environments such as, distance universities are increasing. Remote learning typically happens asynchrono…

cs.LG2025

SCAR: State-Space Compression for Scalable AI-Based Network Management of Vehicular Services

Ioan-Sorin Comsa, Purav Shah, Karthik Vaidhyanathan +6

The increasing demand for connected vehicular services poses significant challenges for AI-based network and service management due to the high volume and rapid variability of netw…

cs.AI2025★ 1 cited

Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education

Behnam Parsaeifard, Christof Imhof, Tansu Pancar +4

Students disengaging from their tasks can have serious long-term consequences, including academic drop-out. This is particularly relevant for students in distance education. One wa…

cs.LG2025

Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models

Behnam Parsaeifard, Martin Hlosta, Per Bergamin

With the rise of online learning, the demand for efficient and consistent assessment in mathematics has significantly increased over the past decade. Machine Learning (ML), particu…

stat.ML2022★ 1 cited

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models

Christof Imhof, Ioan-Sorin Comsa, Martin Hlosta +3

Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include higher risk of drop-outs, increased stress, and r…