Learning to adapt to sensor changes and failures 

Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning 

Fuzzy image coding 

Data-driven acquisition of closed-loop robotic skills 

Syntactic alignment models for large-scale statistical machine translation 

Computer aided visual analogy support (CAVAS) for engineering design 

Learning logical abstractions from sequential data 

Human motion data analysis and compression using graph based techniques 

Theory and applications of adversarial and structured knowledge learning 

Segmentation of multifrequency and polarimetric synthetic aperture radar data 

Generating gestures from speech for virtual humans using machine learning approaches 

Investigation and analysis of land use/land cover to determine the impact of policy developments in cities 

Sentiment analysis in the COVID-19 vaccine willingness among staff in the University of Southern California 

Spatiotemporal prediction with deep learning on graphs 

Learning shared subspaces across multiple views and modalities 

Textured image segmentation based on multivariate analysis 

A study of adverse crowd behavior at high school athletic contests 

Modeling the development of mid-level visual cortex 

Concept classification with application to speech to speech translation 

Neural networks for narrative continuation 

Object classification based on neural-network-inspired image transforms 

etd-PrasadAdit-3772~84 

Data-driven methods in description-based approaches to audio information processing 

DNA hypermethylation: its role in colorectal tumorigenesis and potential clinical applications 

An experiment in individualized instruction in seventh-grade arithmetic