Identification, control and visually-guided behavior for a model helicopter 

Parametric spectrum estimation for contaminated random fields 

The effects of CASE tools on software development effort 

ROC surface in the presence of verification bias 

Kernel estimators for stochastic differential equations 

Uncertainty quantification and data assimilation via transform process for strongly nonlinear problems 

Communication and cooperation in underwater acoustic networks 

Practical limitations of a tunable parametric oscillator as a pollution-monitoring instrument 

Statistical inference for stochastic hyperbolic equations 

Three essays on linear and non-linear econometric dependencies 

Scalable multivariate time series analysis 

Reinforcement learning with generative model for non-parametric MDPs 

Modeling and estimation of heart rate variability due to respiration 

Covariance-based distance-weighted regression for incomplete and misaligned spatial data 

Leveraging training information for efficient and robust deep learning 

Adaptive sampling with a robotic sensor network 

Diffusion MRI white matter tractography: estimation of multiple fibers per voxel using independent component analysis 

Incremental development productivity decline 

Interactive versus self effort: untangling the cognitive elaboration -- learning relationship on internet discussion forums 

Subsurface SAR image formation for discrete point targets 

Optimal electrical stimulation of smooth muscle 

Feature learning for imaging and prior model selection 

The welfare cost of protection: A parametric simulation. 

Structure learning for manifolds and multivariate time series 

Collaborative negotiation for early stage parametric design of mechanical systems