Computing & Information Technology

Data Driven Framework for Actionable Feedback in Insulin Management for Type 1 Diabetic Patients on Artificial Pancreas

Text Representation Learning for Preserving Textual Privacy and Utility of User Data

Pruning Binary Neural Networks (BNNs) for Model Compression and Inference Acceleration

A Mutually Inhibitory Network with Positive Autoregulation and Communications (MINPAC)

System for Quantification of Human Sensory Cortical Areas

Data-Driven Nonuniform Subsampling for Computation-Free Compressive Information Acquisition

Detection and Classification of Faults in Photovoltaic Arrays Using a Graph-Based Classifier

Rapid Digital Antimicrobial Susceptibility Testing

Consensus-Based Distributed Estimation of Network Spectral Radius

Models Genesis: Autodidactic Models for 3D Medical Image Analysis