PowerPoint design based on cognitive load theory and cognitive theory of multimedia learning for introduction to statistics 

Statistical learning is a two-step process 

Feature learning for imaging and prior model selection 

Modeling motor memory to enhance multiple task learning 

Statistical insights into deep learning and flexible causal inference 

Green learning for 3D point cloud data processing 

On optimal signal representation for statistical learning and pattern recognition 

Statistical learning in High Dimensions: Interpretability, inference and applications 

Adapting statistical learning for high risk scenarios 

Application of statistical learning on breast cancer dataset 

Reliability and robustness in modern statistical learning 

Structure learning for manifolds and multivariate time series 

Learning shared subspaces across multiple views and modalities 

Subsurface model calibration for complex facies models 

Learning about word learning in ambiguous situations 

Explainable and green solutions to point cloud classification and segmentation 

Differentially private learned models for location services 

Learning enabled optimization for data and decision sciences 

Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning 

Difference-of-convex learning: optimization with non-convex sparsity functions 

The impact of professional learning communities and block scheduling on English language learner students at Oak Point Middle School 

Transfer learning for intelligent systems in the wild 

Learning contour statistics from natural images 

Leveraging structure for learning robot control and reactive planning 

Mind, motivation, and meaningful learning: A cognitive science approach to learning how to learn