Krempl, Georg

6 publications

AAAI 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes

ECML-PKDD 2022 A Stopping Criterion for Transductive Active Learning Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick

MLJ 2022 Stream-Based Active Learning for Sliding Windows Under the Influence of Verification Latency Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick

MLJ 2021 Toward Optimal Probabilistic Active Learning Using a Bayesian Approach Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick

MLJ 2015 Optimised Probabilistic Active Learning (OPAL) - For Fast, Non-Myopic, Cost-Sensitive Active Classification Georg Krempl, Daniel Kottke, Vincent Lemaire

ECML-PKDD 2011 Online Clustering of High-Dimensional Trajectories Under Concept Drift Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou