Search results
Results: 116
Number of items: 116
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Karabulut, E., Groth, P., & Degeler, V. (2025). Learning Semantic Association Rules from Internet of Things Data. Neurosymbolic Artificial Intelligence, 1. https://doi.org/10.1177/29498732251377518 -
Grafberger, S., Groth, P., & Schelter, S. (2025). mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines". Proceedings of the VLDB Endowment, 18(12), 5359–5362. https://doi.org/10.14778/3750601.3750671
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Ayoughi, M., van Spengler, M., Mettes, P., & Groth, P. (2025). Designing Hierarchies for Optimal Hyperbolic Embedding. In E. Curry, M. Acosta, M. Poveda-Villalón, M. van Erp, A. Ojo, K. Hose, C. Shimizu, & P. Lisena (Eds.), The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025 : proceedings (Vol. I, pp. 362-382). (Lecture Notes in Computer Science; Vol. 15718). Springer. https://doi.org/10.1007/978-3-031-94575-5_20
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Karabulut, E., Groth, P., & Degeler, V. (2025). Neurosymbolic Association Rule Mining from Tabular Data. Proceedings of Machine Learning Research, 284, 565-588. https://doi.org/10.48550/arXiv.2504.19354
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Polat, F., Tiddi, I., & Groth, P. (2025). Testing prompt engineering methods for knowledge extraction from text. Semantic Web, 16(2), Article 2. https://doi.org/10.3233/SW-2437
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Borgman, C. L., & Groth, P. (2025). Infrastructure, Intermediaries, and Artificial Intelligence: A Rejoinder to Commentaries on “From Data Creator to Data Reuser: Distance Matters”. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.c17c3adb
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Harper, C., & Groth, P. (2025). The Librarian Skillset and the Needs of Artificial Intelligence. Cataloging & Classification Quarterly, 63(6-7), 546-565. https://doi.org/10.1080/01639374.2025.2539787
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Jackson, D., Groth, P., & Harmouch, H. (2025). BASIL DB: bioactive semantic integration and linking database. Journal of Biomedical Semantics, 16, Article 14. https://doi.org/10.1186/s13326-025-00336-3
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