Learning Rules from KGs Guided by Language Models.
CoRR, 2024
Reevaluation of Inductive Link Prediction.
Proceedings of the Rules and Reasoning, 2024
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Taxonomap: an Interactive System for the Exploration and Explanation of Unsupervised Large-Scale News Classification.
Proceedings of the 21st International Conference on Content-Based Multimedia Indexing, 2024
MultiTEE: Distributing Trusted Execution Environments.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
SOVEREIGN - Towards a Holistic Approach to Critical Infrastructure Protection.
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Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
ThoughtSource: A central hub for large language model reasoning data.
CoRR, 2023
Rule-based Knowledge Graph Completion with Canonical Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Universal Remote Attestation for Cloud and Edge Platforms.
Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023
A global analysis of metrics used for measuring performance in natural language processing.
CoRR, 2022
Mapping global dynamics of benchmark creation and saturation in artificial intelligence.
CoRR, 2022
LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs.
Bioinform., 2022
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks.
CoRR, 2021
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs.
CoRR, 2020
OpenBioLink: a benchmarking framework for large-scale biomedical link prediction.
Bioinform., 2020
The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020
Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019