| Predicting regional coastal sea level changes with machine learning V Nieves, C Radin, G Camps-Valls Scientific reports 11 (1), 7650, 2021 | 70 | 2021 |
| Estudio multitemporal de calidad del agua del embalse de Sitjar (Castelló, España) utilizando imágenes Sentinel-2 C Radin, X Sòria-Perpinyà, J Delegido Revista de Teledetección, 117-130, 2020 | 13* | 2020 |
| Advanced machine learning methods for major hurricane forecasting J Martinez-Amaya, C Radin, V Nieves Remote Sensing 15 (1), 119, 2022 | 11 | 2022 |
| Machine‐learning based reconstructions of past regional sea level variability from proxy data C Radin, V Nieves Geophysical Research Letters 48 (23), e2021GL095382, 2021 | 5 | 2021 |
| Análisis estadístico de incendios forestales en la Comunitat Valenciana y modificación del índice de peligrosidad de incendios (PIF) C Franco Radín, A Revert Ferrero, J Mediavilla González, JÁ Núñez Mora Agencia Estatal de Meteorología, 2019 | 3 | 2019 |
| Unveiling Regional Climate Patterns Through Global Subsurface Ocean Temperature Data: An AI Multi-Layer Analysis Framework C Radin, V Nieves Earth Systems and Environment, 1-9, 2024 | 1 | 2024 |
| An AI hybrid predictive tool for extreme hurricane forecasting J Martinez Amaya, C Radin, V Nieves, N Longépé, J Muñoz-Marí EGU General Assembly Conference Abstracts, EGU-12333, 2023 | 1 | 2023 |
| Harnessing Machine Learning to Decode the Mediterranean’s Climate Canvas and Forecast Sea Level Changes C Radin, V Nieves, M Vicens-Miquel, JL Alvarez-Morales Climate 12 (8), 127, 2024 | | 2024 |
| Exploring Regional Ocean Climate Variability: Insights from Integrated Clustering and Principal Component Analysis. C Radin, V Nieves EGU General Assembly Conference Abstracts, 120, 2024 | | 2024 |
| Empowering Coastal Resilience: A Multi-Layer Perceptron Approach for Subseasonal-to-Seasonal Sea Level Predictions in the Gulf of Mexico MV Miquel, C Radin, V Nieves, P Tissot, A Medrano 104th AMS Annual Meeting, 2024 | | 2024 |
| Advancing Coastal Inundation Frequency Predictions with an AI-based Sub-seasonal to Multi-year Water Level Model in the Gulf of Mexico MV Miquel, C Radin, V Nieves, P Tissot, FA Medrano AGU23, 2023 | | 2023 |
| Advancing Coastal Inundation Frequency Predictions with an AI-based Sub-seasonal to Multi-year Water Level Model in the Gulf of Mexico M Vicens Miquel, C Radin, V Nieves, P Tissot, FA Medrano AGU Fall Meeting Abstracts 2023 (118), OS53B-118, 2023 | | 2023 |
| An AI hybrid predictive tool for extreme hurricane forecasting JM Amaya, C Radin, V Nieves, N Longépé, J Muñoz-Marí EGU23, 2023 | | 2023 |
| An Optimal Combination of Hurricane-Related Parameters Using Machine Learning for Hurricane Intensity Forecasting J Martinez-Amaya, C Radin, V Nieves 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| A new machine learning approach for regional sea level reconstructions using proxy-climate fingerprints C Radin, V Nieves AGU Fall Meeting Abstracts 2021, IN15C-0388, 2021 | | 2021 |
| Strengthening our knowledge on regional sea level rise through proxy data and machine learning. V Nieves, C Radin, G Camps-Valls AGU Fall Meeting Abstracts 2020, OS022-04, 2020 | | 2020 |
Jesus DelegidoProfesor de física. Universidad de ValenciaEmail yang diverifikasi di uv.es