Incorporating aggregate feature statistics in structured dynamical models for human activity recognition 

Implementation architectures for robust iterative receivers 

Exploiting latent reliability information for classification tasks 

On likelihood digital modulation classification 

Application of geospatial methods to cancer surveillance data to improve cancer prevention and control 

A green learning approach to image forensics: methodology, applications, and performance evaluation 

Depth inference and visual saliency detection from 2D images 

Problems in detection and estimation 

Learning to detect and adapt to unpredicted changes 

Novel and efficient schemes for security and privacy issues in smart grids 

Learning contour statistics from natural images 

Adaptive detection of stationary optical and IR targets using correlated scenes 

Pharmacokinetic/pharmacodynamic modeling for genetically polymorphic populations 

Phase coupling detection techniques 

Developing and testing novel strategies to detect inattentive responding in ecological momentary assessment studies 

Comparison of nonlinear mixed effect modeling methods for exhaled nitric oxide 

Theoretical foundations for modeling, analysis and optimization of cyber-physical-human systems 

Advanced machine learning techniques for video, social and biomedical data analytics 

Susceptibility to autism likelihood associated with prenatal ambient air pollution exposures: identifying vulnerable populations 

A confirmatory maximum likelihood factor analytic investigation of the higher order dimensions of Guilford's structure-of-intellect model 

Adaptive detection using multidimensional signal representations 

Establishing cross-modal correspondences for media understanding. 

Causality and consistency in electrophysiological signals 

Generalized optimal location planning 

Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer