Artificial neural networks in time series forecasting: A comparative analysis H Allende, C Moraga, R Salas Kybernetika 38 (6), [685]-707, 2002 | 124 | 2002 |
Redes neuronales artificiales R Salas Universidad de Valparaıso. Departamento de Computación 1 (1), 1-7, 2004 | 121 | 2004 |
A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score E Vivas, H Allende-Cid, R Salas Entropy 22 (12), 1412, 2020 | 98 | 2020 |
Using machine learning to predict complications in pregnancy: a systematic review A Bertini, RJ Salas, S Chabert, L Sobrevia, FN Pardo Frontiers in Bioengineering and Biotechnology, 1385, 2022 | 63 | 2022 |
An efficient multi-level convolutional neural network approach for white blood cells classification C Cheuque, M Querales, R León, R Salas, R Torres Diagnostics 12 (2), 248, 2022 | 55 | 2022 |
Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru CH Cordova, MNL Portocarrero, R Salas, R Torres, PC Rodrigues, ... Scientific Reports 11 (1), 24232, 2021 | 47 | 2021 |
Self-adaptive fuzzy QoS-driven web service discovery R Torres, R Salas 2011 IEEE International Conference on Services Computing, 64-71, 2011 | 41 | 2011 |
Statistical and artificial neural networks models for electricity consumption forecasting in the Brazilian industrial sector F Leite Coelho da Silva, K da Costa, P Canas Rodrigues, R Salas, ... Energies 15 (2), 588, 2022 | 38 | 2022 |
Prediction of intensity and location of seismic events using deep learning O Nicolis, F Plaza, R Salas Spatial Statistics, 100442, 2020 | 34 | 2020 |
Fusion of self organizing maps C Saavedra, R Salas, S Moreno, H Allende Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007 | 31 | 2007 |
Convolutional neural networks for detection intracranial hemorrhage in CT images JS Castro, S Chabert, C Saavedra, R Salas Proceedings of the 5th Congress on Robotics and Neuroscience. CRONE 2019 …, 2020 | 24 | 2020 |
Robust estimator for the learning process in neural networks applied in time series H Allende, C Moraga, R Salas International Conference on Artificial Neural Networks, 1080-1086, 2002 | 24 | 2002 |
Self-improving generative artificial neural network for pseudorehearsal incremental class learning D Mellado, C Saavedra, S Chabert, R Torres, R Salas Algorithms 12 (10), 206, 2019 | 23 | 2019 |
Time‐based hesitant fuzzy information aggregation approach for decision‐making problems R Torres, R Salas, H Astudillo International Journal of Intelligent Systems 29 (6), 579-595, 2014 | 23 | 2014 |
Robust alternating adaboost H Allende-Cid, R Salas, H Allende, R Nanculef Iberoamerican Congress on Pattern Recognition, 427-436, 2007 | 23 | 2007 |
A self-identification Neuro-Fuzzy inference framework for modeling rainfall-runoff in a Chilean watershed Y Morales, M Querales, H Rosas, H Allende-Cid, R Salas Journal of Hydrology 594, 125910, 2021 | 22 | 2021 |
Zernike's feature descriptors for Iris Recognition with SVM J Reyes-Lopez, S Campos, H Allende, R Salas 2011 30th International Conference of the Chilean Computer Science Society …, 2011 | 22 | 2011 |
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments R Salas, S Moreno, H Allende, C Moraga Neurocomputing 70 (16-18), 2744-2757, 2007 | 22 | 2007 |
Self-organizing neuro-fuzzy inference system H Allende-Cid, A Veloz, R Salas, S Chabert, H Allende Progress in Pattern Recognition, Image Analysis and Applications: 13th …, 2008 | 20 | 2008 |
Femicide and attempted femicide before and during the COVID-19 pandemic in Chile E Cantor, R Salas, R Torres International journal of environmental research and public health 19 (13), 8012, 2022 | 19 | 2022 |