Using classification and regression trees (CART) and random forests to address missing data 

Predicting post-wildfire regreen rates: an application of multi-factor regression modeling 

Prediction and feature selection with regularized regression in integrative genomics 

Residential housing code violation prediction: a study in Victorville, CA using geographically weighted logistic regression 

Applying adaptive methods and classical scale reduction techniques to data from the big five inventory 

Robust feature selection with penalized regression in imbalanced high dimensional data 

Hierarchical regularized regression for incorporation of external data in high-dimensional models 

Energy use intensity estimation method based on building façade features by using regression models 

Validation of an alternative neural decision tree 

Nonlinear modeling and machine learning methods for environmental epidemiology 

Application of phylogenetic trees in variant analysis, genome evolution and gene functional annotation 

Evaluation of the mechanism of variability of the delta18O in alpha-cellulose of tropical deciduous tree pinus kesiya: conventional models and new thinking 

Sense and sensibility: statistical techniques for human energy expenditure estimation using kinematic sensors 

Exploring the relationship between urban forests and ethnicity in West Covina using GIS and object-based image analysis 

Species distribution modeling to predict the spread of Spartium junceum in the Angeles National Forest 

Uncertainty quantification in extreme gradient boosting with application to environmental epidemiology 

The application of machine learning in stock market 

A comparison of pixel-based, object-based, deep learning, and data fusion image classification approaches in delineating urban tree canopy in City Terrace 

Quantile mediation models: methods for assessing mediation across the outcome distribution 

Generalized linear discriminant analysis for high-dimensional genomic data with external information 

Efficient machine learning techniques for low- and high-dimensional data sources 

Analysis of factors associated with breast cancer using machine learning techniques 

Recent variability in the hyrdological cycle of tropical Asia from oxygen isotopes of tree celulose 

An exploration of the spatiotemporal distribution of snow crab (Chionoecetes opilio) in the eastern Bering Sea: 1982 – 2018 

Supervised learning algorithms on factors impacting retweet