Scalable machine learning algorithms for item recommendation 

Feature engineering and supervised learning on metagenomic sequence data 

Machine learning techniques for perceptual quality enhancement and semantic image segmentation 

From first principles to machine intelligence: explaining charge carrier behavior in inorganic materials 

Animal behavior pattern annotation and performance evaluation 

Theory of memory-enhanced neural systems and image-assisted neural machine translation 

Machine learning of motor skills for robotics 

Machine learning-based breast cancer survival prediction 

Harvesting geographic features from heterogeneous raster maps 

Leveraging programmability and machine learning for distributed network management to improve security and performance 

Understanding and generating multimodal feedback in human-machine story-telling 

Coding centric approaches for efficient, scalable, and privacy-preserving machine learning in large-scale distributed systems 

Machine learning methods for 2D/3D shape retrieval and classification 

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

Systematic identification of potential therapeutic targets in cancers using heterogeneous data 

User modeling for human-machine spoken interaction and mediation systems 

Physics-informed machine learning techniques for the estimation and uncertainty quantification of breath alcohol concentration from transdermal alcohol biosensor data 

Comparison of Cox regression and machine learning methods for survival analysis of prostate cancer 

A learning‐based approach to image quality assessment 

Feature learning for imaging and prior model selection 

Exploring complexity reduction in deep learning 

Neural sequence models: Interpretation and augmentation 

Formal analysis of data poisoning robustness of K-nearest neighbors 

Failure prediction for rod pump artificial lift systems 

Document understanding based design support (DocUDS) for augmenting engineering design