Biological Discovery via Data Science: Multigranular Artificial Intelligence Approaches for Cells, Cerebra and Cruise Ships

Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure

Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series

Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning

Attention-based Deep Learning Models for Text Classification and their Interpretability

Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning

Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series

Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and Observations

Student Modeling in Intelligent Tutoring Systems