| Thesis | Deep Convolutional Neural Networks for Statistical Downscaling of Climate Change Projections | 2021 |
| Paper | Configuration and intercomparison of deep learning neural models for statistical downscaling | 2020 |
| Thesis | Evaluación del potencial de las redes neuronales profundas para la predicción de la temperatura superficial del agua del mar | 2019 |
| Conference contribution | Deep Convolutional Networks for Feature Selection in Statistical Downscaling | 2018 |
| Book chapter | Forecasting nonlinear systems with neural networks via anticipated synchronization | 2008 |
| Conference contribution | Predicting toxicity from sediment chemistry using artificial neural networks: screening tools for sustainable sediment management | 2008 |
| Paper | Nonlinear dynamics extraction for time-delay systems using modular neural networks synchronization and prediction | 2005 |
| Paper | Analysis and downscaling multi-model seasonal forecasts in Peru using self-organizing maps | 2005 |
| Paper | Approach to predictability via anticipated synchronization | 2005 |
| Thesis | Statistical and Neural Techniques of Adaptive Clustering for Local Meteorological Forecast. Application to Medium-Range and Seasonal Forecast | 2004 |
