Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea
2025, Ecological Informatics, Volume 86 - Article number 103066, doi: 10.1016/j.ecoinf.2025.103066
Filtering by author: Saccotelli Leonardo
Machine Learning Models for Monitoring Salinity in River Estuaries: A Case Study of the Po River
Saccotelli L., Verri G., De Lorenzis A., Cherubini C., Dimauro G., Maglietta R.
2024, 2024 IEEE International Workshop on Metrology for the Sea, MetroSea 2024 - Proceedings, Pages 137 - 141, 2024 IEEE International Workshop on Metrology for the Sea, MetroSea 2024Portorose - Code 204711, doi: 10.1109/MetroSea62823.2024.10765727
Habitat suitability modeling of loggerhead sea turtles in the Central-Eastern Mediterranean Sea: a machine learning approach using satellite tracking data
Maglietta R.; Caccioppoli R., Piazzolla D., Saccotelli L., Cherubini C.; Scagnoli E.; Piermattei V., Marcelli M.; De Lucia G. A.; Lecci R., Causio S., Dimauro G.; De Franco F.; Scuro M., Coppini G.
2024, Frontiers in Marine Science, doi: 10.3389/fmars.2024.1493598
Advancing estuarine box modeling: A novel hybrid machine learning and physics-based approach
Maglietta R.; Verri G., Saccotelli L., De Lorenzis A., Cherubini C.; Caccioppoli R., Dimauro G.; Coppini G.
2024, Environmental Modelling and Software, Volume 183 - Article number 106223, doi: 10.1016/j.envsoft.2024.106223
Enhancing estuary salinity prediction: A Machine Learning and Deep Learning based approach
Saccotelli L., Verri G., De Lorenzis A., Cherubini C.; Caccioppoli R., Coppini G., Maglietta R.
2024, Applied Computing and Geosciences, Volume 23 - Article number 100173, doi: 10.1016/j.acags.2024.100173
Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea
Maglietta R.; Saccotelli L., Fanizza C.; Telesca V.; Dimauro G.; Causio S., Lecci R., Federico I., Coppini G., Cipriano G.; Carlucci R.
2023, Scientific Reports, Volume 13, Issue 1 - Article number 2600, doi: 10.1038/s41598-023-29681-y
Machine Learning to predict cetacean behaviour using social and environmental features
Cherubini C.; Saccotelli L., Caccioppoli R., Fanizza C.; Santacesaria F.C.; Lecci R., Causio S., Federico I., Cipriano G.; Dimauro G.; Coppini G., Bellomo S.; Carlucci R.; Maglietta R.
2023, 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2023 - Proceedings, Pages 289 - 293 | 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2023 | La Valletta | 4 October 2023through 6 October 2023 | Code 194563, doi: 10.1109/MetroSea58055.2023.10317182
Estuary salinity prediction using a Support Vector Machine based approach: a case study of the Po di Goro estuary
Saccotelli L., Verri G., De Lorenzis A., Caccioppoli R., Cherubini C.; Dimauro G.; Coppini G., Maglietta R.
2023, 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2023 - Proceedings, Pages 294 - 298 | 2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2023 | La Valletta | 4 October 2023through 6 October 2023 | Code 194563, doi: 10.1109/MetroSea58055.2023.10317103