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Project: A machine learning-based forecasting system for shellfish safety

Acronym: MATISSE
Main Objective:
The project has two main objectives: 1) supporting the shellfish production sector through prediction of toxins and faecal contamination and anticipating changes to harvesting permissions; 2) supporting the public administration by improving the characterization of the shellfish production areas and providing tools for a more adequate harvesting licensing and sustainable use of the coastline.
Reference: DSAIPA/DS/0026/2019
Funding: FCT
Approval Date: 01-04-2020
Start Date: 01-04-2020
End Date: 31-03-2023
Team: Alexandra Sofia Martins de Carvalho, Mario Alexandre Teles de Figueiredo
Groups: Pattern and Image Analysis – Lx
Local Coordinator: Alexandra Sofia Martins de Carvalho

Associated Publications
  • 2Boock Chapters
  • A. Baião, C. Peixoto, M. Lopes, P. Costa, A. M. Carvalho, S. Vinga, Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast, Chapter in, Progress in Artificial Intelligence, Moniz, N., Vale, Z., Cascalho, J., Silva, C., Sebastião, R., Springer, Cham, Cham, 2023
  • A. M. Carvalho, D. R. Ribeiro, F. F. Ferraz, M. Lopes, S. Rodrigues, P. Costa, S. Vinga, Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination, Chapter in, Intelligent Data Engineering and Automated Learning, Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J., Springer, Cham, Cham, 2023
  • 1Papers in Journals
  • D. Azevedo, A. Rodrigues, H. Canhão, A. M. Carvalho, A. Souto, Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis, Sensors, Vol. 23, No. 3, pp. 1219 - 1219, January, 2023 | BibTex