7 datasets found

A novel, interpretable multimodal classification method to identify symptoms of mood disorders using audio, video and text collected from a smartphone application.

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...

The TUD system is designed to provide explanations for the recommendations made by models.

The BU-NKU system is based on audio, video, and scene features.

Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction

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...

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...