Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. - Xueying Long; Quang Bui; Grady Oktavian; Daniel F. Schmidt; Christoph Bergmeir; Rakshitha Godahewa; Seong Per Lee; Kaifeng Zhao 005; Paul Condylis (CoRR, 2023)

Establishment of machine learning-based tool for early detection of pulmonary embolism. - Lijue Liu; Yaming Li; Na Liu; Jingmin Luo; Jinhai Deng; Weixiong Peng; Yongping Bai; Guogang Zhang; Guihu Zhao; Ning Yang; Chuanchang Li; Xueying Long (Comput. Methods Programs Biomed., 2024)

Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. - Xueying Long; Daniel F. Schmidt; Christoph Bergmeir; Slawek Smyl (CoRR, 2024)

Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model. - Xueying Long; Daniel F. Schmidt; Christoph Bergmeir; Slawek Smyl (Stat. Comput., 2025)