Computational tools for large-scale analysis of brain function and structure 

Surface rupture detection with support vector machine classification: case study from Ridgecrest, CA 

Application of machine learning methods in genomic data analysis 

Flymodeller: an interactive machine learning platform for automatic fly behavior annotation 

Techniques for vanishing point detection 

A signal processing approach to robust jet engine fault detection and diagnosis 

Human–building integration: machine learning–based and occupant eye pupil size–driven lighting control as an applicable visual comfort tool in the office environment 

Representation, classification and information fusion for robust and efficient multimodal human states recognition 

Supervised learning algorithms on factors impacting retweet 

Comparison of models for predicting PM2.5 concentration in Wuhan, China 

Biologically inspired overcomplete representation, feature extraction and object classification 

Facial age grouping and estimation via ensemble learning 

Using multi-angle imaging spectroradiometer aerosol mixture properties and meteorology for PM₂.₅ assessment in Iran 

Event detection and recounting from large-scale consumer videos 

Novel algorithms for large scale supervised and one class learning 

Depth inference and visual saliency detection from 2D images 

Feature engineering and supervised learning on metagenomic sequence data 

RANSAC-based semi-supervised learning algorithms for partially labeled data, with application to neurological screening from eye-tracking data 

USC Computer Science Technical Reports, no. 895 (2008) 

Animal behavior pattern annotation and performance evaluation 

Microsoft Word - thesis_final_20170507.docx 

Motion blur detection in static images 

Autonomous ship recognition from color images 

A general approach to using problem instance data for model refinement in constraint satisfaction problems 

Failure prediction for rod pump artificial lift systems