Schmidt, Daniel F.

1. HYDRA: Competing convolutional kernels for fast and accurate time series classification
   2022/03/25 by Angus Dempster, Dempster, Angus, Daniel F. Schmidt +3 · 6 citations
   Computer Science · #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications #Neural Networks and Applications
2. QUANT: A Minimalist Interval Method for Time Series Classification
   2023/08/02 by Dempster, Angus, Schmidt, Daniel F., Webb, Geoffrey I. · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
   2023/05/19 by Ali Ismail-Fawaz, Angus Dempster, Ismail-Fawaz, Ali +19 · 3 citations
   Computer Science · Decision Sciences · #Machine Learning and Data Classification #Multi-Criteria Decision Making
4. Bayesian Sparse Global-Local Shrinkage Regression for Selection of Grouped Variables
   2017/09/13 by Zemei Xu, Daniel F. Schmidt, Xu, Zemei +7 · 2 citations
   Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Grey System Theory Applications #Methodology (stat.ME) #Statistical Methods and Inference
5. Log-Scale Shrinkage Priors and Adaptive Bayesian Global-Local Shrinkage Estimation
   2018/01/08 by Schmidt, Daniel F., Makalic, Enes · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
6. Introduction to minimum message length inference
   2022/09/29 by Enes Makalic, Daniel F. Schmidt, Makalic, Enes +1 · 1 citation
   Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Forecasting Techniques and Applications #Methodology (stat.ME)
7. MONSTER: Monash Scalable Time Series Evaluation Repository
   2025/02/21 by Angus Dempster, Navid Mohammadi Foumani, Dempster, Angus +14 · 2 citations
   Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Stock Market Forecasting Methods #Time Series Analysis and Forecasting