Combining Machine Learning with Computer Vision for Precision Agriculture Applications

Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems

A Deep Reinforcement Learning Approach to the Portfolio Management Problem

A Study of Interpretability Mechanisms for Deep Networks

Modelling naturalistic decision making using neural networks

Design and Implementation of a Domain Specific Language for Deep Learning

Vision by Alignment

Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and WiFi Data

Novel Applications and Methods for the Computer-Aided Understanding and Design of Enzyme Activity