Carlos Valle

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 24

Top Topics

Hybrid Algorithms

Top Venues

Neural Process. Lett.

Publications

Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez
Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing 526 (2023)
Iván Pizarro, Ricardo Ñanculef, Carlos Valle
An Attention-Based Architecture for Hierarchical Classification With CNNs. IEEE Access 11 (2023)
Cristián Serpell, Carlos Valle, Héctor Allende
Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Comput. 27 (14) (2023)
Nicolás Frías, Franklin Johnson, Carlos Valle
Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization. IEEE Access 11 (2023)
Manuel Alejandro Goyo, Carlos Valle
Deep Attention Residual Convolutional Neural Network for Electrocardiogram Classification. SCCC (2022)
Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende
A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. ICIC (1) (2021)
Pablo Ormeño, Marcelo Mendoza, Carlos Valle
Topic Models Ensembles for AD-HOC Information Retrieval. Inf. 12 (9) (2021)
R. Hermosilla, Carlos Valle, Héctor Allende, E. Lucic, P. Espinoza
Semi-Autogeonous (SAG) Mill Overload Forecasting. CIARP (2021)
Carlos Valle, Maria Rodriguez-Fernandez, Antonio Eblen-Zajjur
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis. Neural Process. Lett. 52 (1) (2020)
Ignacio A. Araya, Carlos Valle, Héctor Allende
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. Pattern Recognit. Lett. 136 (2020)
Franklin Johnson, Alvaro Valderrama, Carlos Valle, Broderick Crawford, Ricardo Soto, Ricardo Ñanculef
Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm. IEEE Access 8 (2020)
Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR (2020)
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. 50 (1) (2019)
Cristián Serpell, Ignacio A. Araya, Carlos Valle, Héctor Allende
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. CIARP (2019)
Ignacio A. Araya, Carlos Valle, Héctor Allende
LSTM-Based Multi-scale Model for Wind Speed Forecasting. CIARP (2018)
Camilo Valenzuela, Héctor Allende, Carlos Valle
Multi-horizon Scalable Wind Power Forecast System. IWAIPR (2018)
Cristián Serpell, Héctor Allende, Carlos Valle
Regularization for Graph-Based Transfer Learning Text Classification. CIARP (2018)
Cristian M. Orellana, Ricardo Ñanculef, Carlos Valle
Boosting Collaborative Filters for Drug-Target Interaction Prediction. CIARP (2018)
Marcelo Mendoza, Pablo Ormeño, Carlos Valle
Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics. SCCC (2018)
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. CIARP (2017)
Juan Pavez, Hayk Hakobyan, Carlos Valle, William Brooks, Sergey Kuleshov, Héctor Allende
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. CIARP (2017)
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. CIARP (2016)
Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC (2015)
Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Héctor Allende
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. CIARP (2015)
César Fernández, Carlos Valle, Francisco Saravia, Héctor Allende
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. 21 (3) (2012)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Training regression ensembles by sequential target correction and resampling. Inf. Sci. 195 (2012)
Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Robust Asymmetric Adaboost. CIARP (2012)
Carlos Valle, Francisco Saravia, Héctor Allende, Raúl Monge, César Fernández
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. Neural Process. Lett. 32 (3) (2010)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP (2007)
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA (2007)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Ensemble Learning with Local Diversity. ICANN (1) (2006)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Local Negative Correlation with Resampling. IDEAL (2006)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Moderated Innovations in Self-poised Ensemble Learning. CIS (1) (2005)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Self-poised Ensemble Learning. IDA (2005)