Dr. Stefan Heindorf

Contact
Biography
Publications
Dr. Stefan Heindorf

Data Science Junior Research Group

Junior Research Group Leader - PostDoc - Junior Research Group Leader Data Science

E-mail:
Office:
FU.214
Web:
Visitor:
Fürstenallee 11
33102 Paderborn

Transregional Collaborative Research Centre 318

Member - Project Partner - Associated Postdoctoral Researcher

Office:
FU.214
Web:
Web (External):
Visitor:
Fürstenallee 11
33102 Paderborn
Dr. Stefan Heindorf
Miscellaneous
Since 10/2022

Junior Research Group Leader

Universität Paderborn

12/2019 - 09/2022

Postdoc

Paderborn University

10/2013 - 12/2019

PhD

Paderborn University

04/2011 - 09/2013

Master of Science

Paderborn University

10/2007 - 03/2011

Bachelor of Science in Computer Science

Paderborn University

Since 10/2022

Junior Research Group Leader

Universität Paderborn

12/2019 - 09/2022

Postdoc

Paderborn University

10/2013 - 12/2019

PhD

Paderborn University

04/2011 - 09/2013

Master of Science

Paderborn University

10/2007 - 03/2011

Bachelor of Science in Computer Science

Paderborn University

Publications

Latest Publications

Neural Class Expression Synthesis
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.
Counterfactual Explanations for Concepts in ELH
L.N. Sieger, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, ArXiv:2301.05109 (2023).
Accelerating Concept Learning via Sampling
A. Baci, S. Heindorf, in: CIKM, 2023.
Neural Class Expression Synthesis in ALCHIQ(D)
N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.
Class Expression Learning with Multiple Representations
A.-C. Ngonga Ngomo, C. Demir, N.J. Kouagou, S. Heindorf, N. Karalis, A. Bigerl, in: Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.
Show all publications
Further information :