Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance. - Julian D. Karch; Myriam C. Sander; Timo von Oertzen; Andreas M. Brandmaier; Markus Werkle-Bergner (NeuroImage, 2015)

A machine learning perspective on repeated measures: Gaussian process panel and person-specific EEG modeling. - Julian D. Karch (2016)

Identifying predictors of within-person variance in MRI-based brain volume estimates. - Julian D. Karch; Elisa Filevich; Elisabeth Wenger; Nina Lisofsky; Maxi Becker; Oisin Butler; Johan Mårtensson; Ulman Lindenberger; Andreas M. Brandmaier; Simone Kühn (NeuroImage, 2019)

Comparing Correction Methods to Reduce Misclassification Bias. - Kevin Kloos; Quinten Meertens; Sander Scholtus; Julian D. Karch (BNAIC/BENELEARN (Selected Papers), 2020)

UniLeiden at LeQua 2022: The first step in understanding the behaviour of the median sweep quantifier using continuous sweep. - Kevin Kloos; Quinten A. Meertens; Julian D. Karch (CLEF (Working Notes), 2022)

Continuous Sweep: an improved, binary quantifier. - Kevin Kloos; Julian D. Karch; Quinten A. Meertens; Mark de Rooij (CoRR, 2023)

Predictive performance of psychological tests: Is it better to use items than subscales? - Bunga C. Pratiwi; Elise Dusseldorp; Julian D. Karch; Mark de Rooij (Comput. Stat. Data Anal., 2023)