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Dr. Stefan Heindorf
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Publications
Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python
Journal of Machine Learning Research, JMLR, 2025, #article
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, 2024, #inproceedings
Universal Knowledge Graph Embeddings
Companion Proceedings of the ACM on Web Conference 2024, 2024, #inproceedings
EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024, #inproceedings
Neural Class Expression Synthesis (Extended Abstract)
NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa di Pontignano, Siena, Italy, 2023, #inproceedings
Neural Class Expression Synthesis in ALCHIQ(D)
Machine Learning and Knowledge Discovery in Databases, 2023, #inproceedings
Neural Class Expression Synthesis
The Semantic Web - 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings, 2023, #inproceedings
Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings
ESWC, 2022, #inproceedings
CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
Scientific Data, 2022, #article
User Involvement in Training Smart Home Agents: Increasing Perceived Controland Understanding
Proceedings of the 10th International Conference on Human-Agent Interaction (HAI '22), December 5--8, 2022, Christchurch, New Zealand, 2022, #inproceedings
EvoLearner: Learning Description Logics with Evolutionary Algorithms
WWW, 2022, #inproceedings
Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts
WACV, 2021, #inproceedings
Convolutional Hypercomplex Embeddings for Link Prediction
Asian Conference on Machine Learning, 2021, #inproceedings
Drift Detection in Text Data with Document Embeddings
Intelligent Data Engineering and Automated Learning -- IDEAL 2021, 2021, #inproceedings
ASSET: A Semi-supervised Approach for Entity Typing in Knowledge Graphs
K-CAP 2021: Knowledge Capture Conference, 2021, #inproceedings
Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)
INFORMATIK, 2019, #inproceedings
Semantic Data Mediator: Linking Services to Websites
Service-Oriented Computing -- ICSOC 2017 Workshops, 2018, #inproceedings
Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017
WSDM Cup 2017 Notebook Papers, 2017, #inproceedings
Linking Services to Websites by Leveraging Semantic Data
2017 IEEE International Conference on Web Services (ICWS), 2017, #inproceedings
Towards Vandalism Detection in Knowledge Bases: Corpus Construction and Analysis
SIGIR, 2015, #inproceedings
Ontolearn---A Framework for Large-scale OWL Class Expression Learning in Python
Journal of Machine Learning Research, JMLR, 2025, #article
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, 2024, #inproceedings
Universal Knowledge Graph Embeddings
Companion Proceedings of the ACM on Web Conference 2024, 2024, #inproceedings
EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024, #inproceedings