Stefan Heindorf
Cited by
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Vandalism Detection in Wikidata
S Heindorf, M Potthast, B Stein, G Engels
Proceedings of the 25th ACM International on Conference on Information and …, 2016
CauseNet: Towards a Causality Graph Extracted from the Web
S Heindorf, Y Scholten, H Wachsmuth, AC Ngonga Ngomo, M Potthast
Proceedings of the 29th ACM International Conference on Information …, 2020
WSDM Cup 2017: Vandalism Detection and Triple Scoring
S Heindorf, M Potthast, H Bast, B Buchhold, E Haussmann
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis
S Heindorf, M Potthast, B Stein, G Engels
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
EvoLearner: Learning Description Logics with Evolutionary Algorithms
S Heindorf, L Blübaum, N Düsterhus, T Werner, VN Golani, C Demir, ...
The World Wide Web Conference (WWW), 2022
Debiasing Vandalism Detection Models at Wikidata
S Heindorf, Y Scholten, G Engels, M Potthast
The World Wide Web Conference, 670-680, 2019
CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
S Pestryakova, D Vollmers, MA Sherif, S Heindorf, M Saleem, ...
Scientific Data 9 (1), 389, 2022
Learning Concept Lengths Accelerates Concept Learning in ALC
N Kouagou, S Heindorf, C Demir, ACN Ngomo
Extended Semantic Web Conference (ESWC), 2022
Convolutional hypercomplex embeddings for link prediction
C Demir, D Moussallem, S Heindorf, ACN Ngomo
Asian Conference on Machine Learning, 656-671, 2021
Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017
S Heindorf, M Potthast, G Engels, B Stein
WSDM Cup 2017 Notebook Papers, 2017
Neural class expression synthesis
NDJ Kouagou, S Heindorf, C Demir, AC Ngonga Ngomo
European Semantic Web Conference, 209-226, 2023
CausalQA: A benchmark for causal question answering
A Bondarenko, M Wolska, S Heindorf, L Blübaum, ACN Ngomo, B Stein, ...
Proceedings of the 29th International Conference on Computational …, 2022
Drift detection in text data with document embeddings
R Feldhans, A Wilke, S Heindorf, MH Shaker, B Hammer, ...
Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021
Linking services to websites by leveraging semantic data
D Wolters, S Heindorf, J Kirchhoff, G Engels
2017 IEEE International Conference on Web Services (ICWS), 668-675, 2017
Accelerating concept learning via sampling
A Baci, S Heindorf
Proceedings of the 32nd ACM International Conference on Information and …, 2023
LitCQD: Multi-hop reasoning in incomplete knowledge graphs with numeric literals
C Demir, M Wiebesiek, R Lu, AC Ngonga Ngomo, S Heindorf
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
Tab2Onto: Unsupervised semantification with knowledge graph embeddings
HM Zahera, S Heindorf, S Balke, J Haupt, M Voigt, C Walter, F Witter, ...
European Semantic Web Conference, 47-51, 2022
AI-Based Assistance System for Manufacturing
S Deppe, L Brandt, M Brünninghaus, J Papenkordt, S Heindorf, ...
ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs
HM Zahera, S Heindorf, ACN Ngomo
Proceedings of the 11th Knowledge Capture Conference, 261-264, 2021
Neural Class Expression Synthesis in 
NDJ Kouagou, S Heindorf, C Demir, AC Ngonga Ngomo
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
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