dr.ir. A.K. Gavai MSc (Anand)

Soares, F. M. , Ferreira Pires, L., Garcia, M. C., Bouzembrak, Y., Coradin, L., Ghilardi-Lopes, N. P., Rangel Silva, R., Martins de Carvalho, A., Moreira dos Santos Maculan, B. C., Koffler, S., Montedo, U. B., Pignatari Drucker, D., Santiago, R. , Gavai, A., Peres de Carvalho, M. C., da Silva Lima, A. C., Elias Gabriel, H. D., Mendonça de França, S. G., Reis de Almeida, K., ... Saraiva, A. M. (2024). Leveraging citizen science for monitoring urban forageable plants. GigaScience, 13, 1-3. Article giae007. https://doi.org/10.1093/gigascience/giae007

Soares, F. M. , Pires, L. F., Garcia, M. C., Coradin, L., Ghilardi-Lopes, N. P., Silva, R. R., Martins de Carvalho, A. , Gavai, A., Bouzembrak, Y., Moreira dos Santos Maculan, B. C., Koffler, S., Montedo, U. B., Pignatari Drucker, D., Santiago, R., Carvalho, M. C. P. D., da Silva Lima, A. C., Elias Gabriel, H. D., Mendonça de França, S. G., Reis de Almeida, K., ... Saraiva, A. M. (2024). Citizen science data on urban forageable plants: a case study in Brazil. GigaByte. https://doi.org/10.46471/gigabyte.107

Miranda Soares, F. , Ferreira Pires, L., Garcia, M. C., Coradin, L., Ghilardi-Lopes, N. P., Rangel Silva, R., Martins de Carvalho, A. , Gavai, A., Bouzembrak, Y., Moreira dos Santos Maculan, B. C., Koffler, S., Montedo, U. B., Pignatari Drucker, D., Santiago, R., de Carvalho, M. C., da Silva Lima, A. C., Elias Gabriel, H. D., Mendonça de França, S. G., Reis de Almeida, K., ... Saraiva, A. M. (2024). Citizen Science Data on Urban Forageable Plants: A Case Study in Brazil. bioRxiv. https://doi.org/10.1101/2024.01.22.575882

Gavai, A., Bouzembrak, Y., Mu, W., Martin, F., Kaliyaperumal, R., van Soest, J., Choudhury, A., Heringa, J., Dekker, A., & Marvin, H. J. P. (2023). Author Correction: Applying federated learning to combat food fraud in food supply chains: Applying federated learning to combat food fraud in food supply chains (npj Science of Food, (2023), 7, 1, (46), 10.1038/s41538-023-00220-3). npj Science of Food, 7(1), Article 57. https://doi.org/10.1038/s41538-023-00232-z

Sedrakyan, G. , Gavai, A. , & van Hillegersberg, J. (2023). Design Implications Towards Human-Centric Semantic Recommenders for Sustainable Food Consumption. In T. P. Sales, G. Guizzardi, J. Araújo, & J. Borbinha (Eds.), Advances in Conceptual Modeling - ER 2023 Workshops, CMLS, CMOMM4FAIR, EmpER, JUSMOD, OntoCom, QUAMES, and SmartFood, Proceedings (pp. 312-328). (Lecture Notes in Computer Science; Vol. 14319). Springer Nature. Advance online publication. https://doi.org/10.1007/978-3-031-47112-4_29

Gavai, A., Bouzembrak, Y., Mu, W., Martin, F., Kaliyaperumal, R., van Soest, J., Choudhury, A., Heringa, J., Dekker, A., & Marvin, H. J. P. (2023). Applying federated learning to combat food fraud in food supply chains. npj Science of Food, 7(1), Article 46. https://doi.org/10.1038/s41538-023-00220-3

Buyuktepe, O., Catal, C., Kar, G., Bouzembrak, Y., Marvin, H. , & Gavai, A. (2023). Food fraud detection using explainable artificial intelligence. Expert systems, Article e13387. Advance online publication. https://doi.org/10.1111/exsy.13387

van den Bulk, L. M., Bouzembrak, Y. , Gavai, A., Liu, N., van den Heuvel, L. J., & Marvin, H. J. P. (2022). Automatic classification of literature in systematic reviews on food safety using machine learning. Current Research in Food Science, 5, 84-95. https://doi.org/10.1016/j.crfs.2021.12.010

Marvin, H. J. P., Hoenderdaal, W. , Gavai, A. K., Mu, W., van den Bulk, L. M., Liu, N., Frasso, G., Ozen, N., Elliott, C., Manning, L., & Bouzembrak, Y. (2022). Global media as an early warning tool for food fraud; an assessment of MedISys-FF. Food control, 137, Article 108961. https://doi.org/10.1016/j.foodcont.2022.108961

Liu, N., Bouzembrak, Y., van den Bulk, L. M. , Gavai, A., van den Heuvel, L. J., & Marvin, H. J. P. (2022). Automated food safety early warning system in the dairy supply chain using machine learning. Food control, 136, Article 108872. https://doi.org/10.1016/j.foodcont.2022.108872