| Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks S Franceschini, F Mattei, L D'Andrea, A Di Nardi, F Fiorentino, G Garofalo, ... Marine pollution bulletin 149, 110580, 2019 | 31 | 2019 |
| A depth-resolved artificial neural network model of marine phytoplankton primary production F Mattei, S Franceschini, M Scardi Ecological Modelling 382, 51-62, 2018 | 29 | 2018 |
| An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models S Franceschini, L Tancioni, M Lorenzoni, F Mattei, M Scardi PloS one 14 (1), e0211445, 2019 | 18 | 2019 |
| Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models F Mattei, E Buonocore, PP Franzese, M Scardi Ecological Modelling 451, 109578, 2021 | 17 | 2021 |
| Embedding ecological knowledge into artificial neural network training: A marine phytoplankton primary production model case study F Mattei, M Scardi Ecological Modelling 421, 108985, 2020 | 14 | 2020 |
| Collection and analysis of a global marine phytoplankton primary production dataset F Mattei, M Scardi Earth System Science Data / https://doi.org/10.5194/essd-13-4967-2021 13 (10), 2021 | 11 | 2021 |
| Distinguishing the Effects of Water Volumes versus Stocking Densities on the Skeletal Quality during the Pre-Ongrowing Phase of Gilthead Seabream (Sparus aurata) Z Dellacqua, C Di Biagio, C Costa, P Pousão-Ferreira, L Ribeiro, ... Animals 13 (4), 557, 2023 | 6 | 2023 |
| Mining satellite data for extracting chlorophyll a spatio-temporal patterns in the Mediterranean Sea F Mattei, M Scardi Environmental Modelling & Software 150, 105353, 2022 | 4 | 2022 |
| Skeletal anomalies in gilthead seabream (Sparus aurata) larvae reared in different densities and water volumes Z Dellacqua, C Di Biagio, A Martini, F Mattei, A Rakaj, JC Williams Jr, ... Journal of the World Aquaculture Society, e13056, 2024 | | 2024 |
| A Machine Learning Approach to Chlorophyll a Time Series Analysis in the Mediterranean Sea F Mattei, M Scardi Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | | 2021 |
| A constrained depth-resolved artificial neural network model of marine phytoplankton primary production F Mattei, M Scardi Friedrich-Schiller-Universität Jena, 2018 | | 2018 |
Michele ScardiProfessor of Ecology, Dept. of Biology, Tor Vergata University, Rome, Italy & CoNISMaVerified email at mclink.it
