| Vandalism Detection in Wikidata S Heindorf, M Potthast, B Stein, G Engels Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 99 | 2016 |
| 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 | 39 | 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 | 38 | 2015 |
| 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 | 37 | 2020 |
| Debiasing Vandalism Detection Models at Wikidata S Heindorf, Y Scholten, G Engels, M Potthast The World Wide Web Conference, 670-680, 2019 | 14 | 2019 |
| 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 | 13 | 2022 |
| 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 | 12 | 2017 |
| Convolutional hypercomplex embeddings for link prediction C Demir, D Moussallem, S Heindorf, ACN Ngomo Asian Conference on Machine Learning, 656-671, 2021 | 10 | 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 | 7 | 2017 |
| Learning Concept Lengths Accelerates Concept Learning in ALC N Kouagou, S Heindorf, C Demir, ACN Ngomo Extended Semantic Web Conference (ESWC), 2022 | 6 | 2022 |
| 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 | 5 | 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 | 4 | 2021 |
| 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 | 3 | 2022 |
| 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 | 2 | 2022 |
| ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs HM Zahera, S Heindorf, ACN Ngomo Proceedings of the 11th on Knowledge Capture Conference, 261-264, 2021 | 2 | 2021 |
| Automatically generating instructions from tutorials for search and user navigation S Heindorf, N Lipka US Patent 10,936,684, 2021 | 2 | 2021 |
| Neural class expression synthesis NDJ Kouagou, S Heindorf, C Demir, AC Ngonga Ngomo The Semantic Web: 20th International Conference, ESWC 2023, Hersonissos …, 2023 | 1 | 2023 |
| Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts T Nickchen, S Heindorf, G Engels Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 1 | 2021 |
| Vandalism Detection in Crowdsourced Knowledge Bases S Heindorf University of Paderborn, Germany, 2019 | 1 | 2019 |
| LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals C Demir, M Wiebesiek, R Lu, ACN Ngomo, S Heindorf arXiv preprint arXiv:2304.14742, 2023 | | 2023 |
Martin PotthastLeipzig UniversityVerified email at uni-leipzig.de
