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Predicting Mood Disorder Symptoms using Interpretable Multimodal Dynamic Atte...
A novel, interpretable multimodal classification method to identify symptoms of mood disorders using audio, video and text collected from a smartphone application. -
EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity R...
Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity... -
TUD system
The TUD system is designed to provide explanations for the recommendations made by models. -
BU-NKU system
The BU-NKU system is based on audio, video, and scene features. -
Multimodal Spatiotemporal Graph-Transformer
Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction -
PAD-UFES-20
PAD-UFES-20 dataset contains 2298 samples of 6 types of skin lesions, consisting of a clinical image collected from smartphone devices and a set of patient clinical data... -
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small...
Skin cancer is one of the most common types of cancer in the world. Different computer-aided diagnosis systems have been proposed to tackle skin lesion diagnosis, most of them...
