Katharina Beckh

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Machine Learning

Top Venues

Publications

Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. CoRR (2023)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML (2023)
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. ECML/PKDD (3) (2023)
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Katharina Beckh, Sebastian Müller, Stefan Rüping
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning. LWDA (2022)
Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz
Supporting verification of news articles with automated search for semantically similar articles. ROMCIR@ECIR (2021)
Vishwani Gupta, Katharina Beckh, Sven Giesselbach, Dennis Wegener, Tim Wirtz
Supporting verification of news articles with automated search for semantically similar articles. CoRR (2021)
Marc-Alexander Lutz, Katharina Beckh, Jörg Kindermann, Juliane Schneider, Julia Walgern, Sebastian Pfaffel, Stefan Faulstich, Alisa Staack
Digitalisierungsworkflow zur Strukturierung und Standardisierung von Instandhaltungsinformationen von Windenergieanlagen. GI-Jahrestagung (2021)
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
Explainable Machine Learning with Prior Knowledge: An Overview. CoRR (2021)
Jörg Kindermann, Katharina Beckh
Fusing Multi-label Classification and Semantic Tagging. LWDA (2020)