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Christopher Brewster (C.A.W.)
- Research

Christopher Brewster (C.A.W.)

Recent publications

Panoutsopoulos, H., Espejo-Garcia, B., Raaijmakers, S., Wang, X., Fountas, S., & Brewster, C. (2024). Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT. Computers and Electronics in Agriculture, 225, Article 109268. https://doi.org/10.1016/j.compag.2024.109268
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Kumar, P., Hendriks, T., Panoutsopoulos, H., & Brewster, C. (2024). Investigating FAIR data principles compliance in horizon 2020 funded Agri-food and rural development multi-actor projects. Agricultural Systems, 214, Article 103822. https://doi.org/10.1016/j.agsy.2023.103822
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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
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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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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
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Kumar, P., & Brewster, C. (2022). Co-production of climate change vulnerability assessment : A case study of the Indian Lesser Himalayan region, Darjeeling. Journal of Integrative Environmental Sciences, 19(1), 39-64. https://doi.org/10.1080/1943815X.2022.2033792
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Panoutsopoulos, H., Brewster, C., & Espejo-Garcia, B. (2022). Developing a Model for the Automated Identification and Extraction of Agricultural Terms from Unstructured Text. In Chemistry Proceedings: Proceedings of The 1st International Online Conference on Agriculture—Advances in Agricultural Science and Technology (1 ed., Vol. 10). Article 94 https://doi.org/10.3390/IOCAG2022-12264
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Panoutsopoulos, H., & Brewster, C. (2022). Data-driven Update of AGROVOC Using Agricultural Text Corpora. In Proceedings of HAICTA 2022 (Vol. 3293, pp. 260-265) https://dblp.org/rec/conf/haicta/PanoutsopoulosB22
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Panoutsopoulos, H., Brewster, C., & Fountas, S. (2021). A Semantic Data Model for a FAIR Digital Repository of Heterogeneous Agricultural Digital Objects. The Case of the EUREKA FarmBook. In Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), and the 12th International Conference on Biomedical Ontologies (ICBO 2021): CEUR Workshop Proceedings 2969 (Vol. 2969) https://dblp.org/rec/conf/jowo/PanoutsopoulosB21
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Panoutsopoulos, H., Espejo Garcia, B., Verbist, P. E. G., Fountas, S., Spanoghe, P., & Brewster, C. (2021). Integrating Agriculture-related Data Provided by Thematic Networks into a High Impact Knowledge Reservoir. In G. Vlontzos, Y. Ampatzidis, B. Manos, & P. M. Pardalos (Eds.), Modeling for Sustainable Management in Agriculture, Food and the Environment (pp. 199-226). CRC Press. https://doi.org/10.1201/9780429197529
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Christopher Brewster (C.A.W.)

Endowed chair

Institute of Data Science
Faculty of Science and Engineering

christopher.brewster@maastrichtuniversity.nl

+31(0)43 3884931

UM visiting address Minderbroedersberg 4-6
6211 LK Maastricht

+31 43 388 2222

UM postal address P.O. Box 616
6200 MD Maastricht

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