Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Abstract: Few-shot learning presents a critical solution for cancer diagnosis in computational pathology (CPath), addressing fundamental limitations in data availability, particularly the scarcity of ...
CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
This repository offers a comprehensive collection of official resources, tutorials, and reference materials for Wolfram SystemModeler on Windows PCs. It supports efficient learning and effective use ...
Abstract: Emotion recognition is vital for improving human-computer interaction by enabling systems to interpret and respond to human emotions. This project presents a real-time emotion recognition ...
MASt3R-Fusion is a SLAM system that tightly integrates feed-forward pointmap regression with multi-sensor data (e.g., IMU, GNSS), drawing inspiration from MASt3R-SLAM. It is designed for practical, ...
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