Carlos Valle

40 papers B 2C 12Misc 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bimodal beta mixture distribution for enhanced OOD inner-differentiation in multi-class text classification.
Pattern Recognit. Lett.
Camilo Maldonado, Carlos Valle, Héctor Allende
2025 J jnl
Enhancing short-term probabilistic load forecasting and scenario generation with tailored kernel functions in mixture density networks.
Expert Syst. Appl.
Tomás Ochoa, Cristián Serpell, Carlos Valle, Esteban Gil
2024 — conf
Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification.
CIARP (1)
Camilo Maldonado, Carlos Valle, Héctor Allende
2024 — conf
Ensemble Approach to Adaptable Behavior Cloning for a Fighting Game AI.
CIARP (1)
José García, Carlos Castro, Carlos Valle
2024 J jnl
InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series.
IEEE Access
Manuel Alejandro Goyo, Ricardo Ñanculef, Carlos Valle
2024 J jnl
Predicting Algorithm of Thunderstorm Days in the Northern Region of Chile Using Convolution Neural Network.
IEEE Access
Johny Montaña, Carlos Valle, Sergio Rosales, Roger Schurch, Diana Pozo
2023 J jnl
An Attention-Based Architecture for Hierarchical Classification With CNNs.
IEEE Access
Iván Pizarro, Ricardo Ñanculef, Carlos Valle
2023 J jnl
Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization.
IEEE Access
Nicolás Frías, Franklin Johnson, Carlos Valle
2023 J jnl
Machine learning applications for urban photovoltaic potential estimation: A survey.
Neurocomputing
Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez
2023 J jnl
Multi-step probabilistic forecasting model using deep learning parametrized distributions.
Soft Comput.
Cristián Serpell, Carlos Valle, Héctor Allende
2022 — conf
Deep Attention Residual Convolutional Neural Network for Electrocardiogram Classification.
SCCC
Manuel Alejandro Goyo, Carlos Valle
2021 — conf
A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation.
ICIC (1)
Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende
2021 C conf
Semi-Autogeonous (SAG) Mill Overload Forecasting.
CIARP
Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Erich Lucic, Pablo Espinoza
2021 J jnl
Topic Models Ensembles for AD-HOC Information Retrieval.
Inf.
Pablo Ormeño, Marcelo Mendoza, Carlos Valle
2020 J jnl
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting.
Pattern Recognit. Lett.
Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2020 J jnl
Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm.
IEEE Access
Franklin Johnson, Alvaro Valderrama, Carlos Valle, Broderick Crawford, Ricardo Soto, Ricardo Ñanculef
2020 — conf
Comparison of Recurrent Neural Networks for Wind Power Forecasting.
MCPR
Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende
2020 J jnl
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis.
Neural Process. Lett.
Carlos Valle, Maria Rodriguez-Fernandez, Antonio Eblen-Zajjur
2019 J jnl
LocalBoost: A Parallelizable Approach to Boosting Classifiers.
Neural Process. Lett.
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2019 C conf
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks.
CIARP
Cristián Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2018 — conf
Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics.
SCCC
Marcelo Mendoza, Pablo Ormeño, Carlos Valle
2018 C conf
Boosting Collaborative Filters for Drug-Target Interaction Prediction.
CIARP
Cristian M. Orellana, Ricardo Ñanculef, Carlos Valle
2018 C conf
LSTM-Based Multi-scale Model for Wind Speed Forecasting.
CIARP
Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2018 — conf
Multi-horizon Scalable Wind Power Forecast System.
IWAIPR
Camilo Valenzuela, Héctor Allende, Carlos Valle
2018 C conf
Regularization for Graph-Based Transfer Learning Text Classification.
CIARP
Cristián Serpell, Héctor Allende, Carlos Valle
2017 C conf
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting.
CIARP
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
2017 C conf
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter.
CIARP
Juan Pavez, Hayk Hakobyan, Carlos Valle, William Brooks, Sergey Kuleshov, Héctor Allende
2016 C conf
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting.
CIARP
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
2015 C conf
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study.
CIARP
Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Héctor Allende
2015 Misc conf
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.
IDC
Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas
2012 J jnl
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster.
Neural Comput. Appl.
César Fernández, Carlos Valle, Francisco Saravia, Héctor Allende
2012 C conf
Robust Asymmetric Adaboost.
CIARP
Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende
2012 J jnl
Training regression ensembles by sequential target correction and resampling.
Inf. Sci.
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2010 J jnl
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks.
Neural Process. Lett.
Carlos Valle, Francisco Saravia, Héctor Allende, Raúl Monge, César Fernández
2007 C conf
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.
CIARP
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2007 B conf
Two Bagging Algorithms with Coupled Learners to Encourage Diversity.
IDA
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2006 — conf
Ensemble Learning with Local Diversity.
ICANN (1)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2006 C conf
Local Negative Correlation with Resampling.
IDEAL
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2005 — conf
Moderated Innovations in Self-poised Ensemble Learning.
CIS (1)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2005 B conf
Self-poised Ensemble Learning.
IDA
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga