This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: A Multi-Model Framework to Explore ADHD Diagnosis From Neuroimaging Data.
This publication contributes to work in applied statistics, with a focus reflected in its title: Artificial Neural Network-Empowered Projected Future Rainfall Intensity-Duration-Frequency Curves Under Changing Climate.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Stellar Blend Image Classification Using Computationally Efficient Gaussian Processes (MuyGPs).
This publication contributes to work in applied statistics, with a focus reflected in its title: Honey Bee Colony Loss Linked to Parasites, Pesticides and Extreme Weather Across the United States.
This publication contributes to work in applied statistics, with a focus reflected in its title: Winter Weather Predicts Honey Bee Colony Loss at the National Scale.
This work underlines how spatial variability in nutrients causes spatial variability in plant growth and crop yield across cornfields, confirming that these need to be considered when delineating management zones before adopting management practices
This work attempts to explain some contradictory results that have been found regarding the oncogenic or protective roles of miRNAs in breast cancer progression
There is considerable research on improving navigation accuracy of unmanned (aerial) vehicles. This direction of research focuses on improving stochastic sensor calibration to integrate navigation filters and produce more accurate navigation performance.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Chameleon microRNAs in Breast Cancer: Their Elusive Role as Regulatory Factors in Cancer Progression.
This publication contributes to work in applied statistics, model selection, with a focus reflected in its title: Swag: A Wrapper Method for Sparse Learning.