Search results
Results: 122
Number of items: 122
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Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341 -
Li, X., & Groth, P. (2025). How different is different? Systematically identifying distribution shifts and their impacts in NER datasets. Language Resources and Evaluation, 59(2), 1111-1150. https://doi.org/10.1007/s10579-024-09754-8 -
Borgman, C. L., & Groth, P. (2025). From Data Creator to Data Reuser: Distance Matters. Harvard Data Science Review, 7(2). https://doi.org/10.1162/99608f92.35d32cfc -
Allen, B. P., Chhikara, P., Ferguson, T. M., Ilievski, F., & Groth, P. (2025). Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. Proceedings of Machine Learning Research, 284, 392-419. https://proceedings.mlr.press/v284/allen25a.html -
Li, X., Esposito, C. D., Groth, P., Sitruk, J., Szatmari, B., & Wijnberg, N. (2025). Evaluation of unsupervised static topic models’ emergence detection ability. PeerJ Computer Science, 11, Article 2875. https://doi.org/10.7717/peerj-cs.2875 -
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 -
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 -
Karabulut, E., Daza, D., Groth, P., & Degeler, V. (2025). Discovering Association Rules in High-Dimensional Small Tabular Data. In A. Agiollo, E. Bardhi, G. Ciatto, S. Dumancic, & G. Marra (Eds.), Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications: co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) : Bologna, Italy, October 26, 2025 (pp. 105-113). (CEUR Workshop Proceedings; Vol. 4125). CEUR-WS. https://ceur-ws.org/Vol-4125/paper_26.pdf -
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-243719
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