Official implementation of KARINA (IEEE CAI 2026): LMM-generated ingredient knowledge for RGB-D nutrition estimation.
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Updated
Jul 5, 2026 - Python
Official implementation of KARINA (IEEE CAI 2026): LMM-generated ingredient knowledge for RGB-D nutrition estimation.
Repository for visualization codes done in collaboration with Harvard University LTI lab
Multimodal deep learning framework for Parkinson’s Disease analysis using physiological, gait, and voice data with LSTM, GRU, and hybrid LSTM-GRU models.
Supplementary material for 'Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities' (AIED 2024)
This repository contains soure code for research paper accepted at Learning Analytics and Knowledge Conference 2023
Transparent multimodal learning analytics for learner/session-safe temporal alignment, feature fusion, and explicit missing-modality handling.
Multimodal learning analytics research prototype for studying self-regulated learning through interaction, attention, self-report, and reliability-aware feature fusion.
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