Moderated Innovations in Self-poised Ensemble Learning. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (CIS (1), 2005)

Self-poised Ensemble Learning. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (IDA, 2005)

Ensemble Learning with Local Diversity. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (ICANN (1), 2006)

Local Negative Correlation with Resampling. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (IDEAL, 2006)

Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (CIARP, 2007)

Two Bagging Algorithms with Coupled Learners to Encourage Diversity. - Carlos Valle; Ricardo Ñanculef; Héctor Allende; Claudio Moraga (IDA, 2007)

Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. - Carlos Valle; Francisco Saravia; Héctor Allende; Raúl Monge; César Fernández (Neural Process. Lett., 2010)

Robust Asymmetric Adaboost. - Pablo Ormeño; Felipe Ramírez; Carlos Valle; Héctor Allende-Cid; Héctor Allende (CIARP, 2012)

Training regression ensembles by sequential target correction and resampling. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (Inf. Sci., 2012)

Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. - César Fernández; Carlos Valle; Francisco Saravia; Héctor Allende (Neural Comput. Appl., 2012)

Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. - Sergio Campos; Luis Pizarro; Carlos Valle; Katherine R. Gray; Daniel Rueckert; Héctor Allende (CIARP, 2015)

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. - Héctor Allende-Cid; Carlos Valle; Claudio Moraga; Héctor Allende; Rodrigo Salas 001 (IDC, 2015)

Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. - Erick López; Carlos Valle; Héctor Allende; Esteban Gil (CIARP, 2016)

Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. - Erick López; Carlos Valle; Héctor Allende; Esteban Gil (CIARP, 2017)

Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. - Juan Pavez; Hayk Hakobyan; Carlos Valle; William Brooks; Sergey Kuleshov; Héctor Allende (CIARP, 2017)

LSTM-Based Multi-scale Model for Wind Speed Forecasting. - Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (CIARP, 2018)

Boosting Collaborative Filters for Drug-Target Interaction Prediction. - Cristian M. Orellana; Ricardo Ñanculef; Carlos Valle (CIARP, 2018)

Regularization for Graph-Based Transfer Learning Text Classification. - Cristián Serpell; Héctor Allende; Carlos Valle (CIARP, 2018)

Multi-horizon Scalable Wind Power Forecast System. - Camilo Valenzuela; Héctor Allende; Carlos Valle (IWAIPR, 2018)

Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics. - Marcelo Mendoza; Pablo Ormeño; Carlos Valle (SCCC, 2018)

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. - Cristián Serpell; Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (CIARP, 2019)

LocalBoost: A Parallelizable Approach to Boosting Classifiers. - Carlos Valle; Ricardo Ñanculef; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2019)

Comparison of Recurrent Neural Networks for Wind Power Forecasting. - Erick López; Carlos Valle; Héctor Allende-Cid; Héctor Allende (MCPR, 2020)

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm. - Franklin Johnson; Alvaro Valderrama; Carlos Valle; Broderick Crawford; Ricardo Soto 001; Ricardo Ñanculef (IEEE Access, 2020)

Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis. - Carlos Valle; Maria Rodriguez-Fernandez; Antonio Eblen-Zajjur (Neural Process. Lett., 2020)

A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. - Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (Pattern Recognit. Lett., 2020)

Semi-Autogeonous (SAG) Mill Overload Forecasting. - Rodrigo Hermosilla; Carlos Valle; Héctor Allende; Erich Lucic; Pablo Espinoza (CIARP, 2021)

A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. - Alvaro Valderrama; Carlos Valle; Marcelo Ibarra; Héctor Allende (ICIC (1), 2021)

Topic Models Ensembles for AD-HOC Information Retrieval. - Pablo Ormeño; Marcelo Mendoza; Carlos Valle (Inf., 2021)

Deep Attention Residual Convolutional Neural Network for Electrocardiogram Classification. - Manuel Alejandro Goyo; Carlos Valle (SCCC, 2022)

Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization. - Nicolás Frías; Franklin Johnson; Carlos Valle (IEEE Access, 2023)

An Attention-Based Architecture for Hierarchical Classification With CNNs. - Iván Pizarro; Ricardo Ñanculef; Carlos Valle (IEEE Access, 2023)

Machine learning applications for urban photovoltaic potential estimation: A survey. - Alvaro Valderrama; Carlos Valle; Héctor Allende; Marcelo Ibarra; Camila Vásquez (Neurocomputing, 2023)

Multi-step probabilistic forecasting model using deep learning parametrized distributions. - Cristián Serpell; Carlos Valle; Héctor Allende (Soft Comput., 2023)

Ensemble Approach to Adaptable Behavior Cloning for a Fighting Game AI. - José García 002; Carlos Castro 001; Carlos Valle (CIARP (1), 2024)

Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. - Camilo Maldonado; Carlos Valle; Héctor Allende (CIARP (1), 2024)

InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series. - Manuel Alejandro Goyo; Ricardo Ñanculef; Carlos Valle (IEEE Access, 2024)

Predicting Algorithm of Thunderstorm Days in the Northern Region of Chile Using Convolution Neural Network. - Johny Montaña; Carlos Valle; Sergio Rosales; Roger Schurch; Diana Pozo (IEEE Access, 2024)

Enhancing short-term probabilistic load forecasting and scenario generation with tailored kernel functions in mixture density networks. - Tomás Ochoa; Cristián Serpell; Carlos Valle; Esteban Gil (Expert Syst. Appl., 2025)