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Carlos Valle
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2020 – today
- 2024
- [j14]Johny Montaña
, Carlos Valle
Predicting Algorithm of Thunderstorm Days in the Northern Region of Chile Using Convolution Neural Network. IEEE Access 12: 116017-116025 (2024) - [j13]Manuel Alejandro Goyo
InverseTime: A Self-Supervised Technique for Semi-Supervised Classification of Time Series. IEEE Access 12: 165081-165093 (2024) - [c24]José García, Carlos Castro, Carlos Valle:
Ensemble Approach to Adaptable Behavior Cloning for a Fighting Game AI. CIARP (1) 2024: 16-30 - [c23]Camilo Maldonado, Carlos Valle, Héctor Allende:
Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. CIARP (1) 2024: 198-212 - 2023
- [j12]Iván Pizarro
An Attention-Based Architecture for Hierarchical Classification With CNNs. IEEE Access 11: 32972-32995 (2023) - [j11]Nicolás Frías
Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization. IEEE Access 11: 125800-125821 (2023) - [j10]Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez:
Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing 526: 80-95 (2023) - [j9]Cristián Serpell
Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Comput. 27(14): 9479-9500 (2023) - 2022
- [c22]Manuel Alejandro Goyo
Deep Attention Residual Convolutional Neural Network for Electrocardiogram Classification. SCCC 2022: 1-8 - 2021
- [j8]Pablo Ormeño, Marcelo Mendoza
Topic Models Ensembles for AD-HOC Information Retrieval. Inf. 12(9): 360 (2021) - [c21]Rodrigo Hermosilla, Carlos Valle
Semi-Autogeonous (SAG) Mill Overload Forecasting. CIARP 2021: 392-401 - [c20]Alvaro Valderrama
A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. ICIC (1) 2021: 435-449 - 2020
- [j7]Franklin Johnson
Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm. IEEE Access 8: 156139-156152 (2020) - [j6]Carlos Valle, Maria Rodriguez-Fernandez
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis. Neural Process. Lett. 52(1): 385-402 (2020) - [j5]Ignacio Alejandro Araya Galleguillos, Carlos Valle
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. Pattern Recognit. Lett. 136: 333-340 (2020) - [c19]Erick López
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR 2020: 25-34
2010 – 2019
- 2019
- [j4]Carlos Valle
LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. 50(1): 19-41 (2019) - [c18]Cristián Serpell
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. CIARP 2019: 387-397 - 2018
- [c17]Ignacio Alejandro Araya Galleguillos, Carlos Valle
LSTM-Based Multi-scale Model for Wind Speed Forecasting. CIARP 2018: 38-45 - [c16]Cristian M. Orellana, Ricardo Ñanculef, Carlos Valle
Boosting Collaborative Filters for Drug-Target Interaction Prediction. CIARP 2018: 212-220 - [c15]Cristián Serpell
Regularization for Graph-Based Transfer Learning Text Classification. CIARP 2018: 849-856 - [c14]Camilo Valenzuela, Héctor Allende
Multi-horizon Scalable Wind Power Forecast System. IWAIPR 2018: 317-325 - [c13]Marcelo Mendoza
Ad-hoc Information Retrieval based on Boosted Latent Dirichlet Allocated Topics. SCCC 2018: 1-7 - 2017
- [c12]Erick López
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. CIARP 2017: 347-355 - [c11]Juan Pavez, Hayk Hakobyan, Carlos Valle
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. CIARP 2017: 491-498 - 2016
- [c10]Erick López
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. CIARP 2016: 409-416 - 2015
- [c9]Sergio Campos, Luis Pizarro, Carlos Valle
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. CIARP 2015: 3-10 - [c8]Héctor Allende-Cid, Carlos Valle
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC 2015: 223-232 - 2012
- [j3]Ricardo Ñanculef, Carlos Valle
Training regression ensembles by sequential target correction and resampling. Inf. Sci. 195: 154-174 (2012) - [j2]César Fernández, Carlos Valle
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. 21(3): 535-542 (2012) - [c7]Pablo Ormeño, Felipe Ramírez, Carlos Valle
Robust Asymmetric Adaboost. CIARP 2012: 519-526 - 2010
- [j1]Carlos Valle
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. Neural Process. Lett. 32(3): 277-291 (2010)
2000 – 2009
- 2007
- [c6]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP 2007: 694-703 - [c5]Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga:
Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA 2007: 130-139 - 2006
- [c4]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Ensemble Learning with Local Diversity. ICANN (1) 2006: 264-273 - [c3]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Local Negative Correlation with Resampling. IDEAL 2006: 570-577 - 2005
- [c2]Ricardo Ñanculef, Carlos Valle
Moderated Innovations in Self-poised Ensemble Learning. CIS (1) 2005: 49-56 - [c1]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Self-poised Ensemble Learning. IDA 2005: 272-282
Coauthor Index
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