| Wind power forecasting based on echo state networks and long short-term memory E López, C Valle, H Allende, E Gil, H Madsen Energies 11 (3), 526, 2018 | 114 | 2018 |
| Automating configuration of convolutional neural network hyperparameters using genetic algorithm F Johnson, A Valderrama, C Valle, B Crawford, R Soto, R Ñanculef IEEE Access 8, 156139-156152, 2020 | 40 | 2020 |
| Evaluating imputation techniques for missing data in ADNI: a patient classification study S Campos, L Pizarro, C Valle, KR Gray, D Rueckert, H Allende Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2015 | 36 | 2015 |
| Ensemble methods for time series forecasting H Allende, C Valle Claudio Moraga: A passion for multi-valued logic and soft computing, 217-232, 2017 | 30 | 2017 |
| A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting IA Araya, C Valle, H Allende Pattern Recognition Letters 136, 333-340, 2020 | 25 | 2020 |
| Parallel approach for ensemble learning with locally coupled neural networks C Valle, F Saravia, H Allende, R Monge, C Fernández Neural processing letters 32, 277-291, 2010 | 15 | 2010 |
| Wave-by-wave nearshore wave breaking identification using U-Net FJ Saez, PA Catalan, C Valle Coastal Engineering 170, 104021, 2021 | 14 | 2021 |
| Multi-agent deep reinforcement learning for efficient multi-timescale bidding of a hybrid power plant in day-ahead and real-time markets T Ochoa, E Gil, A Angulo, C Valle Applied Energy 317, 119067, 2022 | 13 | 2022 |
| Comparison of recurrent neural networks for wind power forecasting E López, C Valle, H Allende-Cid, H Allende Pattern Recognition: 12th Mexican Conference, MCPR 2020, Morelia, Mexico …, 2020 | 13 | 2020 |
| Probabilistic forecasting using monte carlo dropout neural networks C Serpell, I Araya, C Valle, H Allende Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 13 | 2019 |
| Lstm-based multi-scale model for wind speed forecasting IA Araya, C Valle, H Allende Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 11 | 2019 |
| Discriminating the occurrence of inundation in tsunami early warning with one-dimensional convolutional neural networks J Núñez, PA Catalán, C Valle, N Zamora, A Valderrama Scientific reports 12 (1), 10321, 2022 | 9 | 2022 |
| Efficient training over long short-term memory networks for wind speed forecasting E López, C Valle, H Allende, E Gil Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2017 | 9 | 2017 |
| Training regression ensembles by sequential target correction and resampling R Ñanculef, C Valle, H Allende, C Moraga Information Sciences 195, 154-174, 2012 | 8 | 2012 |
| Ensemble learning with local diversity R Nanculef, C Valle, H Allende, C Moraga International Conference on Artificial Neural Networks, 264-273, 2006 | 8 | 2006 |
| Behavior analysis of neural network ensemble algorithm on a virtual machine cluster C Fernández, C Valle, F Saravia, H Allende Neural Computing and Applications 21, 535-542, 2012 | 7 | 2012 |
| Two bagging algorithms with coupled learners to encourage diversity C Valle, R Nanculef, H Allende, C Moraga International Symposium on Intelligent Data Analysis, 130-139, 2007 | 7 | 2007 |
| Real-time IMU-based learning: a classification of contact materials CMCO Valle, A Kurdas, EP Fortunić, S Abdolshah, S Haddadin 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
| Semi-autogeonous (sag) mill overload forecasting R Hermosilla, C Valle, H Allende, E Lucic, P Espinoza Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2021 | 5 | 2021 |
| Boosting text clustering using topic selection M Mendoza, P Ormeno, C Valle IET Digital Library, 2018 | 5 | 2018 |
