We describe our submission to the ICMI 2026 Grand Challenge on Context-Aware Student Engagement Detection (CASED) for participant-independent binary classification of 30-second classroom clips (engaged vs. disengaged). We train a class-weighted CatBoost model on a 434-dimensional multimodal feature set spanning facial...
Anis Elebiary, Rupal Agarwal, Saurabh Hinduja et al.· Proceedings of the 28th Inte...· 1 citation
Past work in multimodal depression detection has focused almost entirely on a single dataset with limited socioeconomic diversity and lacking in clinically validated depression diagnoses. To address these limitations in multimodal depression detection, we used clinically-validated depression diagnoses in two distinct d...
Maneesh Bilalpur, Saurabh Hinduja, Sonish Sivarajkumar et al.· Companion Publication of the...· 0 citations
We describe our submission to the ICMI 2026 Grand Challenge on Context-Aware Student Engagement Detection (CASED) for participant-independent binary classification of 30-second classroom clips (engaged vs. disengaged). We train a class-weighted CatBoost model on a 434-dimensional multimodal feature set spanning facial...
Anis Elebiary, Rupal Agarwal, Saurabh Hinduja et al.· 0 citations
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