Deep Support vector quantile regression with non-crossing constraints

Tutorial and applications of convolutional neural network models in image classification

Wafer Bin Map Failure Pattern Recognition Using Hierarchical Clustering

A Review and Comparison of Convolution Neural Network Models under a Unified Framework

Regularized Linear Censored Quantile Regression

Weighted Validation of Heteroscedastic Regression Models for Better Selection

Efficient Information-based Criteria for Model Selection in Quantile Regression

Efficient information-based quantile regression model tuning with heteroscedastic errors

Comparative Study of Prediction Models for Public Bicycle Demand in Seoul

Comparison of Deep Learning-based Autoencoders for Recommender Systems