Schmidt, Daniel F.

5 publications

DMLR 2025 MONSTER: Monash Scalable Time Series Evaluation Repository Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb

MLJ 2023 A Bayesian-Inspired, Deep Learning-Based, Semi-Supervised Domain Adaptation Technique for Land Cover Mapping Benjamin Lucas, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb, François Petitjean

MLJ 2023 SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir

ECML-PKDD 2022 Sparse Horseshoe Estimation via Expectation-Maximisation Shu Yu Tew, Daniel F. Schmidt, Enes Makalic

ECML-PKDD 2019 Bayesian Generalized Horseshoe Estimation of Generalized Linear Models Daniel F. Schmidt, Enes Makalic