Carlos Valle

According to our database, Carlos Valle authored at least 34 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-step probabilistic forecasting model using deep learning parametrized distributions.

Cristián Serpell, Carlos Valle, Héctor Allende

Soft Comput., July, 2023

Machine learning applications for urban photovoltaic potential estimation: A survey.

Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez

Neurocomputing, March, 2023

An Attention-Based Architecture for Hierarchical Classification With CNNs.

Iván Pizarro, Ricardo Ñanculef, Carlos Valle

IEEE Access, 2023

Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization.

Nicolás Frías, Franklin Johnson, Carlos Valle

IEEE Access, 2023

2022

Deep Attention Residual Convolutional Neural Network for Electrocardiogram Classification.

Manuel Alejandro Goyo, Carlos Valle

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

2021

Topic Models Ensembles for AD-HOC Information Retrieval.

Pablo Ormeño, Marcelo Mendoza, Carlos Valle

Inf., 2021

A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation.

Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende

Proceedings of the Intelligent Computing Theories and Application, 2021

Semi-Autogeonous (SAG) Mill Overload Forecasting.

Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Erich Lucic, Pablo Espinoza

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

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

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

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm.

Franklin Johnson, Alvaro Valderrama, Carlos Valle, Broderick Crawford, Ricardo Soto, Ricardo Ñanculef

IEEE Access, 2020

Comparison of Recurrent Neural Networks for Wind Power Forecasting.

Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2019

LocalBoost: A Parallelizable Approach to Boosting Classifiers.

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Neural Process. Lett., 2019

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks.

Cristián Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics.

Marcelo Mendoza, Pablo Ormeño, Carlos Valle

Proceedings of the 37th International Conference of the Chilean Computer Science Society, 2018

Multi-horizon Scalable Wind Power Forecast System.

Camilo Valenzuela, Héctor Allende, Carlos Valle

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Regularization for Graph-Based Transfer Learning Text Classification.

Cristián Serpell, Héctor Allende, Carlos Valle

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Boosting Collaborative Filters for Drug-Target Interaction Prediction.

Cristian M. Orellana, Ricardo Ñanculef, Carlos Valle

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

LSTM-Based Multi-scale Model for Wind Speed Forecasting.

Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting.

Erick López, Carlos Valle, Héctor Allende, Esteban Gil

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting.

Erick López, Carlos Valle, Héctor Allende, Esteban Gil

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.

Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas

Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

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

Training regression ensembles by sequential target correction and resampling.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Inf. Sci., 2012

Robust Asymmetric Adaboost.

Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2010

Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks.

Carlos Valle, Francisco Saravia, Héctor Allende, Raúl Monge, César Fernández

Neural Process. Lett., 2010

2007

Two Bagging Algorithms with Coupled Learners to Encourage Diversity.

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Progress in Pattern Recognition, 2007

2006

Local Negative Correlation with Resampling.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Ensemble Learning with Local Diversity.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Artificial Neural Networks, 2006

2005

Self-poised Ensemble Learning.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Moderated Innovations in Self-poised Ensemble Learning.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Computational Intelligence and Security, International Conference, 2005