research
∙
07/11/2023
CR-Lasso: Robust cellwise regularized sparse regression
Cellwise contamination remains a challenging problem for data scientists...
share
research
∙
07/05/2022
Regularized Predictive Models for Beef Eating Quality of Individual Meals
Faced with changing markets and evolving consumer demands, beef industri...
research
∙
10/24/2021
Robust Variable Selection under Cellwise Contamination
Cellwise outliers are widespread in data and traditional robust methods ...
research
∙
12/01/2019
Machine learning applications in time series hierarchical forecasting
Hierarchical forecasting (HF) is needed in many situations in the supply...
research
∙
09/28/2019
