{"total":17,"rows":[{"id":"2408.02686","title":"A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications","created":"2024-08-02","cited_by_count":25,"area":null},{"id":"2404.17098","title":"CLARE: Cognitive Load Assessment in REaltime with Multimodal Data","created":"2024-04-26","cited_by_count":8,"area":null},{"id":"2309.15292","title":"Scaling Representation Learning from Ubiquitous ECG with State-Space Models","created":"2023-09-26","cited_by_count":7,"area":null},{"id":"2407.18552","title":"Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention","created":"2024-07-26","cited_by_count":5,"area":null},{"id":"2510.22129","title":"egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-World Tasks","created":"2025-10-25","cited_by_count":5,"area":null},{"id":"2403.08824","title":"Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey","created":"2024-03-09","cited_by_count":4,"area":null},{"id":"2505.10575","title":"Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning","created":"2025-05-13","cited_by_count":2,"area":null},{"id":"2305.00769","title":"Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals","created":"2023-05-01","cited_by_count":1,"area":null},{"id":"2606.24985","title":"Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2311.04215","title":"Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning","created":"2023-11-07","cited_by_count":0,"area":null},{"id":"2508.21785","title":"Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2510.05826","title":"Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2601.02414","title":"MIAR: Modality Interaction and Alignment Representation Fuison for Multimodal Emotion","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2601.12534","title":"Encoding Emotion Through Self-Supervised Eye Movement Reconstruction","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2608.07385","title":"Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.22387","title":"Self-Supervised Graph Representation Learning for In-The-Wild Wearable and Smartphone based Emotion Recognition","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.20991","title":"From Stress to Affect: Multimodal Deep Learning for Physiological Emotion Recognition Across Wearable Sensor Modalities","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}