A machine learning-based forecasting system for shellfish safety MATISSE

PROJECT / MATISSE

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

Partners:

INESC-ID, IPMA, IST-ID, NOVA.id.FCT

Local Coordinator:

Alexandra Sofia Martins de Carvalho

Related UN SDG

This project falls under the following United Nations Strategic Development Goals (SDGs):

United Nations Strategic Development Goal - Industry, Innovation and Infrastructure

Associated Publications

2Book 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