Remzi Celebi (R.)

Loesch, J., van Lier, I., de Boer, A., Scholtes, J., Dumontier, M., & Celebi, R. (2024). Automated identification of healthier food substitutions through a combination of graph neural networks and nutri-scores. Journal of Food Composition and Analysis, 125, Article 105829. https://doi.org/10.1016/j.jfca.2023.105829

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Urovi, V., Celebi, R., Sun, C., Rieswijk, L., Erard, M., Yilmaz, A., Moodley, K., Kumar, P., & Dumontier, M. (2023). TAPS Responsibility Matrix: A tool for responsible data science by design. (pp. 2302.01041v1). https://doi.org/10.48550/arXiv.2302.01041

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Loesch, J., Dumontier, M., & Celebi, R. (2023). Enhanced GAT: Expanding Receptive Field with Meta Path-Guided RDF Rules for Two-Hop Connectivity. CEUR Workshop Proceedings, 3592, Article 195432. https://ceur-ws.org/Vol-3592/paper8.pdf

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Ozkan, E., Celebi, R., Yilmaz, A., Emonet, V., & Dumontier, M. (2023). Generating Knowledge Graph Based Explanations for Drug Repurposing Predictions. In Semantic Web Applications and Tools for Health Care and Life Sciences (Vol. 3415, pp. 22-31) https://ceur-ws.org/Vol-3415/paper-3.pdf

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Erten, Ö., Mehryar, S., Çelebi, R., & Brewster, C. (2023). Predicting missing annotations in Gene Ontology with Knowledge Graph Embeddings and True Path Rule. In Semantic Web Applications and Tools for Health Care and Life Sciences 2023 (Vol. 3415, pp. 82-86) https://ceur-ws.org/Vol-3415/paper-9.pdf

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Mehryar, S., & Celebi, R. (2023). Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring. CEUR Workshop Proceedings, 3557, 61-71. https://ceur-ws.org/Vol-3557/paper5.pdf

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Mehryar, S., & Celebi, R. (2022). Improving Transitive Embeddings in Neural Reasoning Tasks via Knowledge-Based Policy Networks. In CEUR Workshop Proceedings: Joint 2nd Semantic Reasoning Evaluation Challenge and 3rd SeMantic Answer Type, Relation and Entity Prediction Tasks Challenge, SemREC-SMART 2022 (Vol. 3337, pp. 16-27) https://ceur-ws.org/Vol-3337/semrec_paper3.pdf

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Ning, X., & Celebi, R. (2022). Knowledge Base Construction from Pre-trained Language Models by Prompt learning. In Knowledge Base Construction from Pre-trained Language Models 2022 (Vol. 3274, pp. 46-54) https://ceur-ws.org/Vol-3274/paper4.pdf

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Loesch, J., Meeckers, L., van Lier, I., de Boer, A., Dumontier, M., & Celebi, R. (2022). Automated Identification of Food Substitutions Using Knowledge Graph Embeddings. CEUR Workshop Proceedings, 3127, 19-28. http://ceur-ws.org/Vol-3127/paper-3.pdf

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Giraldo, O., Ruano, M., Richardson, R. A., Celebi, R., Dumontier, M., & Kuhn, T. (2022). Nanotate: Semantically Annotating Experimental Protocols with Nanopublications. In Workshop proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (Vol. 3127, pp. 64-73). CEUR Workshop Proceedings. http://ceur-ws.org/Vol-3127/

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Remzi Celebi (R.)