Jesse H. Krijthe

1. Detecting hidden confounding in observational data using multiple environments
   2022/05/27 by Rickard K. A. Karlsson, Karlsson, Rickard K. A., Jesse H. Krijthe +1 · 2 voices · 2 citations
   #stat.ME #cs.LG #stat.ML
2. The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
   2024/02/27 by Nan van Geloven, van Geloven, Nan, Ruth H. Keogh +27 · 1 voice · 2 citations
   Mathematics · Computer Science · Economics, Econometrics and Finance · #FOS: Computer and information sciences #Methodology (stat.ME)
3. The Peaking Phenomenon in Semi-supervised Learning
   2016/10/17 by Jesse H. Krijthe, Krijthe, Jesse H., Marco Loog +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
4. Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
   2025/02/10 by Rickard K. A. Karlsson, Jesse H. Krijthe, Karlsson, Rickard K. A. +1 · 1 voice · 1 citation
   Computer Science · #Software Engineering Research #Statistical and Computational Modeling #cs.LG #stat.ME #stat.ML