3 papers
stat.AP2026
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
Jakob Schwerter, Amer Krivosija, Tim Novak +2
Early identification of at risk students in higher education depends on predictive models that maintain accuracy across successive cohorts -- a requirement that single-cohort model…
cs.DS2025
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
Amer Krivošija, Alexander Munteanu, André Nusser +1
This paper introduces -Dynamic Time Warping (-DTW), a novel dissimilarity measure for polygonal curves. -DTW has stronger metric properties than Dynamic Time Warping (DTW)…
cs.LG2024
Scalable Learning of Item Response Theory Models
Susanne Frick, Amer Krivošija, Alexander Munteanu
Item Response Theory (IRT) models aim to assess latent abilities of examinees along with latent difficulty characteristics of test items from categorical data that indicate…