Schmid, Ute

10 publications

ECCVW 2024 Interactive Explainable Anomaly Detection for Industrial Settings Daniel Gramelt, Timon Höfer, Ute Schmid

MLJ 2023 Explanatory Machine Learning for Sequential Human Teaching Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid

AAAI 2022 An Interactive Explanatory AI System for Industrial Quality Control Dennis Müller, Michael März, Stephan Scheele, Ute Schmid

MLJ 2022 Generating Contrastive Explanations for Inductive Logic Programming Based on a near Miss Approach Johannes Rabold, Michael Siebers, Ute Schmid

NeurIPSW 2021 Benchmarking Robustness to Natural Distribution Shifts for Facial Analysis Jessica Deuschel, Andreas Foltyn, Leonie Anna Adams, Jan Maximilian Vieregge, Ute Schmid

MLJ 2021 Beneficial and Harmful Explanatory Machine Learning Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid

MLJ 2018 Ultra-Strong Machine Learning: Comprehensibility of Programs Learned with ILP Stephen H. Muggleton, Ute Schmid, Christina Zeller, Alireza Tamaddoni-Nezhad, Tarek R. Besold

IJCAI 2017 Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract) José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe

JMLR 2006 Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach Emanuel Kitzelmann, Ute Schmid

ECML-PKDD 1998 Induction of Recursive Program Schemes Ute Schmid, Fritz Wysotzki