Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Fake News auf der Spur – Mit Maschinellem Lernen vertrauenswürdige Informationen bereitstellen
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This is a German blog post on how to approach fake news detection with the help of machine learning.
Intelligenter Labeln mit Aktivem Lernen
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This is a German blog post on active learning.
Ready Steady Go: Maschinelles Lernen in der Praxis
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This is a German blog post on getting started with machine learning.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
publications
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
Published in IEEE TKDE, 2021
Integration prior knowledge into the machine learning pipeline
Recommended citation: L. Von Rueden, S. Mayer, K. Beckh, B. Georgiev, S. Giesselbach, R. Heese, B. Kirsch, J. Pfrommer, A. Pick, R. Ramamurthy, M. Walczak, J. Garcke, C. Bauckhage, and J. Schuecker, “Informed Machine Learning – A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 1, pp. 614-633 https://ieeexplore.ieee.org/abstract/document/9429985
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning
Published in LWDA, 2022
Evaluating user independent explanation properties before user dependent properties
Recommended citation: K. Beckh, S. Müller, S. Rüping. "A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning." LWDA. 2022. https://ceur-ws.org/Vol-3341/KDML-LWDA_2022_CRC_551.pdf
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
Published in IEEE SaTML, 2023
How prior knowledge can be utilized for explainable machine learning
Recommended citation: K. Beckh, S. Müller, M. Jakobs, V. Toborek, H. Tan, R. Fischer, P. Welke, S. Houben, L. von Rueden. "Harnessing Prior Knowledge for Explainable Machine Learning: An Overview," 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, NC, USA, 2023, pp. 450-463 https://www.researchgate.net/publication/371243326_Harnessing_Prior_Knowledge_for_Explainable_Machine_Learning_An_Overview
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Published in ECML PKDD, 2023
The role of the Rashomon effect in explainable machine learning
Recommended citation: Müller, S., Toborek, V., Beckh, K., Jakobs, M., Bauckhage, C., Welke, P. (2023). An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning. In: Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E., Bonchi, F. (eds) Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023. Lecture Notes in Computer Science, vol 14171. Springer, Cham. https://arxiv.org/abs/2306.15786
talks
Poster presentation on empirical evaluation of the Rashomon effect in explainable machine learning
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.