Christopher Brewster (C.A.W.)

Wang, X., & Brewster, C. (2024). Forgetting in Knowledge Graph Based Recommender Systems. In E. Benkhelifa, A. Cuzzocrea, O. Gusikhin, & S. Hammoudi (Eds.), Proceedings of the 13th International Conference on Data Science, Technology and Applications, DATA 2024 (pp. 309-317). SCITEPRESS. https://doi.org/10.5220/0012757300003756

Erten, Ö., Mehryar, S., Xiong, B., Çelebi, R., & Brewster, C. (2024). Refining SemOpenAlex Concept Ontology: A Constraint-Aware Approach via Knowledge Graph Embeddings and SKOS Constraints. In Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2024 (Vol. 3890, pp. 56-65). CEUR-WS. https://ceur-ws.org/Vol-3890/paper-6.pdf

Yilmaz, A., Naidu, R., & Brewster, C. (2023). FSO: Food Safety Monitoring Ontology. In Semantic Web Applications and Tools for Health Care and Life Sciences 2023 (Vol. 3415, pp. 42-51) https://ceur-ws.org/Vol-3415/paper-5.pdf

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

Zhang, Y., Yilmaz, A., Popa, M., & Brewster, C. (2023). Analysis of the Impact of Data Augmentation on the Performance of Deep Learning Models in Multispectral Food Authenticity Identification. In M. Ganzha, L. Maciaszek, M. Paprzycki, & D. Slezak (Eds.), Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023 (pp. 823-832). IEEE. https://doi.org/10.15439/2023F3643