Automatic quantification and prediction of human subjective judgments in behavioral signal processing 

Understanding genetics of traits critical to the domestication of crops using Mixed Linear Models 

Predicting autism severity classification by machine learning models 

Supporting multimedia streaming among mobile ad-hoc peers with link availability prediction 

Computational prediction and analysis of protein-RNA interfaces 

Alkaline phosphatase levels in infants with spontaneous intestinal perforation vs. necrotizing enterocolitis with perforation 

USC Computer Science Technical Reports, no. 821 (2004) 

Transgender patients’ perceptions of healthcare: A study of gender minority stress and resilience factors in predicting healthcare behavioral intentions 

Model-based approaches to objective inference during steady-state and adaptive locomotor control 

Discussion during treatment decision-making predicts emotional adjustment in prostate cancer patients 

Trustworthy spatiotemporal prediction models 

Prediction models for dynamic decision making in smart grid 

Structural nonlinear control strategies to provide life safety and serviceability 

Predicting debris yield using artificial intelligence models 

Intracellular drug-drug interaction between nucleoside analogs leads to early virologic failure in HIV patients receiving triple nucleoside combinations of tenofovir, lamivudine and abacavir or d... 

Non‐steady state Kalman filter for subspace identification and predictive control 

Continuum modeling of reservoir permeability enhancement and rock degradation during pressurized injection 

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

Prediction and feature selection with regularized regression in integrative genomics 

The development of a hydraulic-control wave-maker (HCW) for the study of non-linear surface waves 

Development of a movement performance assessment to predict ACL re-injury 

Analysis of factors associated with breast cancer using machine learning techniques 

Predicting and planning against real-world adversaries: an end-to-end pipeline to combat illegal wildlife poachers on a global scale 

A probabilistic model predicting retinal ganglion cell responses to natural stimuli 

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