Kottke, Daniel

6 publications

ECML-PKDD 2025 Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick

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

MLJ 2022 Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm

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