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Results: 119
Number of items: 119
  • Open Access
    Jullien, S., Ariannezhad, M., Groth, P., & Rijke, M. D. (2023). A Simulation Environment and Reinforcement Learning Method for Waste Reduction. Transactions on Machine Learning Research, 2023, Article 769. https://openreview.net/forum?id=KSvr8A62MD
  • Open Access
    Grafberger, S., Groth, P., & Schelter, S. (2023). Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines. Proceedings of the ACM on Management of Data, 1(2), Article 128. https://doi.org/10.1145/3589273
  • Open Access
    Gregory, K., Groth, P., Scharnhorst, A., & Wyatt, S. (2023). The Mysterious User of Research Data: Knitting Together Science and Technology Studies with Information and Computer Science. In K. Bijsterveld, & A. Swinnen (Eds.), Interdisciplinarity in the Scholarly Life Cycle: Learning by Example in Humanities and Social Science Research (pp. 191-211). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-11108-2_11
  • Open Access
    Li, X., Hughes, A., Llugiqi, M., Polat, F., Groth, P., & Ekaputra, F. J. (2023). Knowledge-centric Prompt Composition for Knowledge Base Construction from Pre-trained Language Models. In S. Razniewski, J.-C. Kalo, S. Singhania, & J. Z. Pan (Eds.), Joint proceedings of the 1st workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM) and the 2nd challenge on Language Models for Knowledge Base Construction (LM-KBC): co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 6, 2023 Article 3 (CEUR Workshop Proceedings; Vol. 3577). CEUR-WS. https://ceur-ws.org/Vol-3577/paper3.pdf
  • Open Access
    Daza, D., Alivanistos, D., Mitra, P., Pijnenburg, T., Cochez, M., & Groth, P. (2023). BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. Journal of Biomedical Semantics, 14, Article 20. https://doi.org/10.1186/s13326-023-00301-y
  • Open Access
    Nevin, J., Groth, P., & Lees, M. (2023). An approach for analysing the impact of data integration on complex network diffusion models. Journal of complex networks, 11(4), Article cnad025. https://doi.org/10.1093/comnet/cnad025
  • Open Access
    Ayoughi, M., Mettes, P., & Groth, P. (2023). Self-Contained Entity Discovery from Captioned Videos. ACM Transactions on Multimedia Computing Communications and Applications, 19(5s), Article 177. https://doi.org/10.1145/3583138
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Dinh, T. A., den Boef, J., Cornelisse, J., & Groth, P. (2023). E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. In J. Wang, Y. He, T. N. Dinh, C. Grant, M. Qiu, & W. Pedrycz (Eds.), 23rd IEEE International Conference on Data Mining Workshops: 1-4 December 2023, Shanghai, China : proceedings (pp. 1084-1091). (ICDMW; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/ICDMW60847.2023.00142
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. In A. Waaler, E. Kharlamov, B. Zhou, A. Soylu, D. Kyritsis, D. Roman, O. Savkovic, & S. Staab (Eds.), Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) : co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Greece, Athens, 7 November 2023 Article 3 (CEUR workshop proceedings; Vol. 3647). CEUR-WS. https://doi.org/10.48550/arXiv.2310.07348
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