FRANCESCHINI, SIMONE
FRANCESCHINI, SIMONE
Dipartimento di Biologia
A depth-resolved artificial neural network model of marine phytoplankton primary production
2018-01-01 Mattei, F; Franceschini, S; Scardi, M
A depth-resolved artificial neural network model of marine phytoplankton primary production
2018-01-01 Mattei, F; Franceschini, S; Scardi, M
ACQUA: Automated Cyanobacterial Quantification Algorithm for toxic filamentous genera using spline curves, pattern recognition and machine learning
2016-01-01 Gandola, E; Antonioli, M; Traficante, A; Franceschini, S; Scardi, M; Congestri, R
All is fish that comes to the net: metabarcoding for rapid fisheries catch assessment
2021-01-01 Russo, T; Maiello, G; Talarico, L; Baillie, C; Colosimo, G; D( extquotesingle)Andrea, L; Di Maio, F; Fiorentino, F; Franceschini, S; Garofalo, G; Scannella, D; Cataudella, S; Mariani, S
An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models
2019-01-01 Franceschini, S; Tancioni, L; Lorenzoni, M; Mattei, F; Scardi, M
An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models
2019-01-01 Franceschini, S; Tancioni, L; Lorenzoni, M; Mattei, F; Scardi, M
Ask the shark: blackmouth catshark (Galeus melastomus) as a sentinel of plastic waste on the seabed
2022-01-01 Sbrana, A; Cau, A; Cicala, D; Franceschini, S; Giarrizzo, T; Gravina, Mf; Ligas, A; Maiello, G; Matiddi, M; Parisi, A; Sartor, P; Sbrana, M; Scacco, U; Valente, T; Viva, C; Russo, T
Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information
2018-01-01 Franceschini, S; Gandola, E; Martinoli, M; Tancioni, L; Scardi, M
Cascaded neural networks improving fish species prediction accuracy: The role of the biotic information
2018-01-01 Franceschini, S; Gandola, E; Martinoli, M; Tancioni, L; Scardi, M
Dataset exploited for the development and validation of automated cyanobacteria quantification algorithm, ACQUA
2016-01-01 Gandola, E; Antonioli, M; Traficante, A; Franceschini, S; Scardi, M; Congestri, R
Defend as You Can, React Quickly: The Effects of the COVID-19 Shock on a Large Fishery of the Mediterranean Sea
2022-01-01 Russo, T; Catucci, E; Franceschini, S; Labanchi, L; Libralato, S; Sabatella, Ec; Sabatella, Rf; Parisi, A; Fiorentino, F
Disentangling beach litter pollution patterns to provide better guidelines for decision-making in coastal management
2022-01-01 Brabo, L; Andrades, R; Franceschini, S; Soares, Mo; Russo, T; Giarrizzo, T
Eating Near the Dump: Identification of Nearby Plastic Hotspot as a Proxy for Potential Microplastic Contamination in the Norwegian Lobster (Nephrops norvegicus)
2021-01-01 Franceschini, S; Cau, A; D'Andrea, L; Follesa, Mc; Russo, T
GLOVE: The Global Plastic Ingestion Initiative for a cleaner world
2022-12-01 Monteiro, R; Andrades, R; Noleto-Filho, E; Pegado, T; Morais, L; Gonçalves, M; Santos, R; Sbrana, A; Franceschini, S; Soares, Mo; Russo, T; Giarrizzo, T
Little samplers, big fleet: eDNA metabarcoding from commercial trawlers enhances ocean monitoring
2022-01-01 Maiello, G; Talarico, L; Carpentieri, P; De Angelis, F; Franceschini, S; Harper, Lr; Neave, Ef; Rickards, O; Sbrana, A; Shum, P; Veltre, V; Mariani, S; Russo, T
Meso- and microplastic composition, distribution patterns and drivers: A snapshot of plastic pollution on Brazilian beaches
2024-01-01 Pegado, T; Andrades, R; Noleto-Filho, E; Franceschini, S; Soares, M; Chelazzi, D; Russo, T; Martellini, T; Barone, A; Cincinelli, A; Giarrizzo, T
Predicting Fishing Footprint of Trawlers From Environmental and Fleet Data: An Application of Artificial Neural Networks
2019-11-04 Russo, T; Franceschini, S; D’Andrea, L; Scardi, M; Parisi, A; Cataudella, S
Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks
2019-01-01 Franceschini, S; Matte, F; D'Andrea, L; Di Nardi, A; Fiorentino, F; Garofalo, G; Scardi, M; Cataudella, S; Russo, T
Scattered accumulation hotspots of macro-litter on the seafloor: Insights for mitigation actions
2022-01-01 Cau, A; Franceschini, S; Moccia, D; Gorule, Pa; Agus, B; Bellodi, A; Cannas, R; Carugati, L; Cuccu, D; Dessi, C; Marongiu, Mf; Melis, R; Mulas, A; Porceddu, R; Porcu, C; Russo, T; Follesa, Mc
Simulating the Effects of Alternative Management Measures of Trawl Fisheries in the Central Mediterranean Sea: Application of a Multi-Species Bio-economic Modeling Approach
2019-01-01 Russo, T; D'Andrea, L; Franceschini, S; Accadia, P; Cucco, A; Garofalo, G; Gristina, M; Parisi, A; Quattrocchi, G; Sabatella, Rf; Sinerchia, M; Canu, Dm; Cataudella, S; Fiorentino, F
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2018 | A depth-resolved artificial neural network model of marine phytoplankton primary production | Mattei, F; Franceschini, S; Scardi, M | Articolo su rivista | |
| 1-gen-2018 | A depth-resolved artificial neural network model of marine phytoplankton primary production | Mattei, F; Franceschini, S; Scardi, M | Articolo su rivista | |
| 1-gen-2016 | ACQUA: Automated Cyanobacterial Quantification Algorithm for toxic filamentous genera using spline curves, pattern recognition and machine learning | Gandola, E; Antonioli, M; Traficante, A; Franceschini, S; Scardi, M; Congestri, R | Articolo su rivista | |
| 1-gen-2021 | All is fish that comes to the net: metabarcoding for rapid fisheries catch assessment | Russo, T; Maiello, G; Talarico, L; Baillie, C; Colosimo, G; D( extquotesingle)Andrea, L; Di Maio, F; Fiorentino, F; Franceschini, S; Garofalo, G; Scannella, D; Cataudella, S; Mariani, S | Articolo su rivista | |
| 1-gen-2019 | An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models | Franceschini, S; Tancioni, L; Lorenzoni, M; Mattei, F; Scardi, M | Articolo su rivista | |
| 1-gen-2019 | An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models | Franceschini, S; Tancioni, L; Lorenzoni, M; Mattei, F; Scardi, M | Articolo su rivista | |
| 1-gen-2022 | Ask the shark: blackmouth catshark (Galeus melastomus) as a sentinel of plastic waste on the seabed | Sbrana, A; Cau, A; Cicala, D; Franceschini, S; Giarrizzo, T; Gravina, Mf; Ligas, A; Maiello, G; Matiddi, M; Parisi, A; Sartor, P; Sbrana, M; Scacco, U; Valente, T; Viva, C; Russo, T | Articolo su rivista | |
| 1-gen-2018 | Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information | Franceschini, S; Gandola, E; Martinoli, M; Tancioni, L; Scardi, M | Articolo su rivista | |
| 1-gen-2018 | Cascaded neural networks improving fish species prediction accuracy: The role of the biotic information | Franceschini, S; Gandola, E; Martinoli, M; Tancioni, L; Scardi, M | Articolo su rivista | |
| 1-gen-2016 | Dataset exploited for the development and validation of automated cyanobacteria quantification algorithm, ACQUA | Gandola, E; Antonioli, M; Traficante, A; Franceschini, S; Scardi, M; Congestri, R | Articolo su rivista | |
| 1-gen-2022 | Defend as You Can, React Quickly: The Effects of the COVID-19 Shock on a Large Fishery of the Mediterranean Sea | Russo, T; Catucci, E; Franceschini, S; Labanchi, L; Libralato, S; Sabatella, Ec; Sabatella, Rf; Parisi, A; Fiorentino, F | Articolo su rivista | |
| 1-gen-2022 | Disentangling beach litter pollution patterns to provide better guidelines for decision-making in coastal management | Brabo, L; Andrades, R; Franceschini, S; Soares, Mo; Russo, T; Giarrizzo, T | Articolo su rivista | |
| 1-gen-2021 | Eating Near the Dump: Identification of Nearby Plastic Hotspot as a Proxy for Potential Microplastic Contamination in the Norwegian Lobster (Nephrops norvegicus) | Franceschini, S; Cau, A; D'Andrea, L; Follesa, Mc; Russo, T | Articolo su rivista | |
| 1-dic-2022 | GLOVE: The Global Plastic Ingestion Initiative for a cleaner world | Monteiro, R; Andrades, R; Noleto-Filho, E; Pegado, T; Morais, L; Gonçalves, M; Santos, R; Sbrana, A; Franceschini, S; Soares, Mo; Russo, T; Giarrizzo, T | Articolo su rivista | |
| 1-gen-2022 | Little samplers, big fleet: eDNA metabarcoding from commercial trawlers enhances ocean monitoring | Maiello, G; Talarico, L; Carpentieri, P; De Angelis, F; Franceschini, S; Harper, Lr; Neave, Ef; Rickards, O; Sbrana, A; Shum, P; Veltre, V; Mariani, S; Russo, T | Articolo su rivista | |
| 1-gen-2024 | Meso- and microplastic composition, distribution patterns and drivers: A snapshot of plastic pollution on Brazilian beaches | Pegado, T; Andrades, R; Noleto-Filho, E; Franceschini, S; Soares, M; Chelazzi, D; Russo, T; Martellini, T; Barone, A; Cincinelli, A; Giarrizzo, T | Articolo su rivista | |
| 4-nov-2019 | Predicting Fishing Footprint of Trawlers From Environmental and Fleet Data: An Application of Artificial Neural Networks | Russo, T; Franceschini, S; D’Andrea, L; Scardi, M; Parisi, A; Cataudella, S | Articolo su rivista | |
| 1-gen-2019 | Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks | Franceschini, S; Matte, F; D'Andrea, L; Di Nardi, A; Fiorentino, F; Garofalo, G; Scardi, M; Cataudella, S; Russo, T | Articolo su rivista | |
| 1-gen-2022 | Scattered accumulation hotspots of macro-litter on the seafloor: Insights for mitigation actions | Cau, A; Franceschini, S; Moccia, D; Gorule, Pa; Agus, B; Bellodi, A; Cannas, R; Carugati, L; Cuccu, D; Dessi, C; Marongiu, Mf; Melis, R; Mulas, A; Porceddu, R; Porcu, C; Russo, T; Follesa, Mc | Articolo su rivista | |
| 1-gen-2019 | Simulating the Effects of Alternative Management Measures of Trawl Fisheries in the Central Mediterranean Sea: Application of a Multi-Species Bio-economic Modeling Approach | Russo, T; D'Andrea, L; Franceschini, S; Accadia, P; Cucco, A; Garofalo, G; Gristina, M; Parisi, A; Quattrocchi, G; Sabatella, Rf; Sinerchia, M; Canu, Dm; Cataudella, S; Fiorentino, F | Articolo su rivista |