Applications of Machine learning in Imaging genetics

Explanation Iterative Supervision via Saliency-guided Data Augmentation

Large scale neuronal type classification using graph neural networks

Computational Structures as Neural Symbolic Representation

Enhancing Document Understanding through the Incorporation of Structural Inference

Interpretable and Interactive Representation Learning on Geometric Data

The Applications of Alternating Minimization Algorithms on Deep Learning Models

Understanding spatial-temporal trends using communication-efficient federated tensor factorization for incomplete data

Mining User Generated Content: Addressing Data Scarcity in Filtering Tasks