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Results: 47
Number of items: 47
  • Open Access
    van Krieken, E., Thanapalasingam, T., Tomczak, J. M., van Harmelen, F., & ten Teije, A. (2023). A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/4d9944ab3330fe6af8efb9260aa9f307-Abstract-Conference.html
  • Open Access
    Akata, Z., Balliet, D., de Rijke, M., Dignum, F., Dignum, V., Eiben, G., Fokkens, A., Grossi, D., Hindriks, K., Hoos, H., Hung, H., Jonker, C., Monz, C., Neerincx, M., Oliehoek, F., Prakken, H., Schlobach, S., van der Gaag, L., van Harmelen, F., ... Welling, M. (2020). A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer, 53(8), 18-28. https://doi.org/10.1109/MC.2020.2996587
  • Zamborlini, V., Hoekstra, R., Da Silveira, M., Pruski, C., ten Teije, A., & van Harmelen, F. (2016). Inferring recommendation interactions in clinical guidelines: case-studies on multimorbidity. Semantic Web, 7(4), 421-446. https://doi.org/10.3233/SW-150212
  • Open Access
    Zamborlini, V., Hoekstra, R., da Silveira, M., Pruski, C., ten Teije, A., & van Harmelen, F. (2016). Generalizing the Detection of Internal and External Interactions in Clinical Guidelines. In J. Gilbert, H. Azhari, H. Ali, C. Quintão, J. Sliwa, C. Ruiz, A. Fred, & H. Gamboa (Eds.), BIOSTEC 2016 : proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies: Rome, Italy, February 21-23, 2016. - Volume 5: HEALTHINF (pp. 105-116). SciTePress Science and Technology Publications. https://doi.org/10.5220/0005704101050116
  • Open Access
    Shafahi, M., Hu, Q., Afsarmanesh, H., Huang, Z., ten Teije, A., & van Harmelen, F. (2016). A task-based comparison of linguistic and semantic document retrieval methods in the medical domain. In M. Dragoni, D. Reforgiato Recupero, K. Denecke, Y. Deng, & T. Declerck (Eds.), Joint Proceedings of the 2th Workshop on Emotions, Modality, Sentiment Analysis and the Semantic Web and the 1st International Workshop on Extraction and Processing of Rich Semantics from Medical Texts: co-located with ESWC 2016 : Heraklion, Greece, May 29, 2016 Article 6 (CEUR Workshop Proceedings; Vol. 1613). CEUR-WS. http://ceur-ws.org/Vol-1613/paper_6.pdf
  • Milian, K., Hoekstra, R., Bucur, A., ten Teije, A., van Harmelen, F., & Paulissen, J. (2015). Enhancing reuse of structured eligibility criteria and supporting their relaxation. Journal of Biomedical Informatics, 56, 205-219. https://doi.org/10.1016/j.jbi.2015.05.005
  • Zamborlini, V., Hoekstra, R., da Silveira, M., Pruski, C., ten Teije, A., & van Harmelen, F. (2014). A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines: a case-study on multimorbidity. In K. Janowicz, S. Schlobach, P. Lambrix, & E. Hyvönen (Eds.), Knowledge Engineering and Knowledge Management: 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014: proceedings (pp. 591-606). (Lecture Notes in Computer Science; Vol. 8876), (Lecture Notes in Artificial Intelligence ). Springer. https://doi.org/10.1007/978-3-319-13704-9_44
  • Antoniou, G., Groth, P., van Harmelen, F., & Hoekstra, R. (2012). A Semantic Web Primer. (3rd ed.) (Cooperative information systems). MIT Press.
  • Hoekstra, R., Lodder, A., & van Harmelen, F. (2010). Case frames as contextual mappings to case law in BestPortal. Frontiers in Artificial Intelligence and Applications, 223, 77-86. https://doi.org/10.3233/978-1-60750-682-9-77
  • van Eck, P. A. T., Engelfriet, J., Fensel, D., van Harmelen, F. A. H., Venema, Y., & Willems, M. (2001). A survey of languages for specifying dynamics: A knowledge enginee ring perspective. IEEE Transactions on Knowledge & Data Engineering, 13, 462-496. https://doi.org/10.1109/69.929903
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