| Hybrid machine learning techniques in the management of harmful algal blooms impact A Molares-Ulloa, D Rivero, JG Ruiz, E Fernandez-Blanco, ... Computers and Electronics in Agriculture 211, 107988, 2023 | 7 | 2023 |
| Machine learning in management of precautionary closures caused by lipophilic biotoxins A Molares-Ulloa, E Fernandez-Blanco, A Pazos, D Rivero Computers and Electronics in Agriculture 197, 106956, 2022 | 4 | 2022 |
| Application of artificial neural networks for the monitoring of episodes of high toxicity by dsp in mussel production areas in galicia A Molares, E Fernandez-Blanco, D Rivero Proceedings 54 (1), 12, 2020 | 2 | 2020 |
| Harmful algal bloom forecasting. A comparison between stream and batch learning A Molares-Ulloa, E Rocruz, D Rivero, XA Padin, R Nolasco, J Dubert, ... arXiv preprint arXiv:2402.13304, 2024 | | 2024 |
| Re-Identification of Rats with Transfer Learning A Molares-Ulloa, MR Ortega-Femia, J Dorado, N Pedreira Souto, ... VI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A …, 2023 | | 2023 |
| Sistema para el Asesoramiento en Cierres Preventivos de la Ría de Vigo debido a Biotoxinas Lipofílicas A Molares Ulloa | | 2020 |
