| TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data D Precioso, M Navarro-García, K Gavira-O'Neill, A Torres-Barrán, ... Fisheries Research 250, 106263, 2022 | 14 | 2022 |
| On constrained smoothing and out-of-range prediction using P-splines: a conic optimization approach M Navarro-García, V Guerrero, M Durban Applied Mathematics and Computation 441, 127679, 2023 | 6 | 2023 |
| How do tuna schools associate to dFADs? A study using echo-sounder buoys to identify global patterns M Navarro-García, D Precioso, K Gavira-O'Neill, A Torres-Barrán, ... arXiv preprint arXiv:2207.07049, 2022 | 1 | 2022 |
| A mathematical optimization approach to shape-constrained generalized additive models M Navarro-García, V Guerrero, M Durban Expert Systems with Applications 255, 124654, 2024 | | 2024 |
| Aggregation dynamics of tropical tunas around drifting floating objects based on large-scale echo-sounder data M Navarro-García, D Precioso, KGO Neill, A Torres-Barrán, DG Gómez, ... Marine Ecology Progress Series 715, 129-143, 2023 | | 2023 |
| TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data D Precioso Garcelán, M Navarro García, K Gavira O'Neill, A Torres-Barrán, ... Elsevier, 2022 | | 2022 |
| AGGREGATION TIMES OF TUNA SCHOOLS TO FADS ESTIMATED BY ECHOSOUNDER DATA M Navarro-García, D Precioso, K Gavira-O’Neill, A Torres-Barrán, ... | | 2021 |
