Böhm, Klemens

10 publications

TMLR 2025 Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data Jose Cribeiro-Ramallo, Federico Matteucci, Paul Enciu, Alexander Jenke, Vadim Arzamasov, Thorsten Strufe, Klemens Böhm

TMLR 2025 Maximum Mean Discrepancy on Exponential Windows for Online Change Detection Florian Kalinke, Marco Heyden, Georg Gntuni, Edouard Fouché, Klemens Böhm

TMLR 2025 Partial-Label Learning with a Reject Option Tobias Fuchs, Florian Kalinke, Klemens Böhm

ECML-PKDD 2024 Leveraging Plasticity in Incremental Decision Trees Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm

NeurIPS 2023 A Benchmark of Categorical Encoders for Binary Classification Federico Matteucci, Vadim Arzamasov, Klemens Böhm

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

ICML 2014 Multivariate Maximal Correlation Analysis Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm

ECML-PKDD 2012 OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm

ECML-PKDD 2010 Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs Frank Eichinger, Klaus Krogmann, Roland Klug, Klemens Böhm

ECML-PKDD 2008 Mining Edge-Weighted Call Graphs to Localise Software Bugs Frank Eichinger, Klemens Böhm, Matthias Huber