ICHA 20255
F. Guegan, P.R. Costa, S.M. Rodrigues, I. Basílio, A. Cruz, L. Krippahl, M.B. Lopes. Integrating in-situ and satellite data to predict biotoxin contamination in shellfish using artificial neural networks
Punta Arenas, Chile
IDEAL 2023
D. Ribeiro, F. Ferraz, M.B. Lopes, S. Rodrigues, P.R. Costa, S. Vinga, A.M. Carvalho. Causal graph discovery for explainable insights on marine biotoxin shellfish contamination
Évora, Portugal
22th-24th November 2023
World Seafood Congress
P.R. Costa, S.M. Rodrigues, A. Patrício, R.C. Cruz, R.S. Costa, R. Henriques, S. Vinga, L. Krippahl, M.B. Lopes. DSP toxin contamination events and their predictability on the Portuguese coast: insights from the MATISSE project
Peniche, Portugal
24th-28th September 2023
LOD 2023
F. Ferraz, D. Ribeiro, M.B. Lopes, S. Pedro, S. Vinga, A.M. Carvalho. Comparative analysis of machine learning models for time-series forecasting of Escherichia coli contamination in Portuguese shellfish production areas
Lake District, UK
22nd-26th September 2023
EPIA 2023
A.R. Baião, C. Peixoto, M.B. Lopes, P.R. Costa, A.M. Carvalho, S. Vinga. Evaluating the causal role of environmental data in shellfish biotoxin contamination on the Portuguese coast
Faial, Portugal05th-08th September 2023
COMPSTAT 2023
S. Tavares, L. Krippahl, M.B. Lopes. Feature extraction from satellite data for multivariate time-series forecasting of biotoxin contamination in shellfish
London, UK
22nd-25th August 2023
International Workshop on Modeling 2023
S. Tavares, L. Krippahl, M.B. Lopes. On the role of temporal irregularities and spatial dependencies in the development of time-series models for predicting biotoxin contamination in shellfish
Hamburg, Germany
27th-30th June 2023
DEB2023
G.M. Marques. Synthesizing Units. 8th International Symposium and School on Dynamic Energy Budget Theory for Metabolic Organization
Louisiana, United States
04th-13th June 2023
Littoral 22
R.C. Cruz, P.R. Costa, L. Krippahl, M.B. Lopes. Predicting biotoxin shellfish contamination with Artificial Neural Networks: towards a forecasting system for shellfish safety
Caparica, Portugal
12th-16th September 2022
REDIBAL 2022
A. Patrício, M.B. Lopes, P.R.Costa, R. Costa, R. Henriques, S. Vinga. Time-lagged correlation analysis of DSP toxicity across Portuguese shellfish producing areas, species and meteorological conditions
Algés, Portugal
01st-03rd June 2022
GlobalHAB Workshop 2022
R.C. Cruz, P.R. Costa, L. Krippahl, M.B. Lopes. Forecasting mussel contamination by marine biotoxins using long short-term memory networks
A. Patrício, R. Henriques, P.R. Costa, S. Vinga, M.B. Lopes. Time-lagged correlation analysis of bivalve toxicity across spatial, species and context dimensions
Glasgow, Scotland
09th-13th May 2022
International Ocean Data Conference 2022
P.R. Costa, S. Rodrigues, S. Pedro, M.B. Lopes. Which ocean data do we need to develop a forecasting system for shellfish safety
Sopot, Poland
14th-16th February 2022
ICHA 2021
R.C. Cruz, P.R. Costa, L. Krippahl, M.B. Lopes. Forecasting biotoxin contamination in mussels via artificial neural network modelling
La Paz, Mexico
10th-15th October 2021
