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.
Multimodal deep learning framework for Parkinson’s Disease analysis using physiological, gait, and voice data with LSTM, GRU, and hybrid LSTM-GRU models.
Repository for visualization codes done in collaboration with Harvard University LTI lab
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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