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Carlos Antonio Valle Vidal

Académico Jornada Completa

Universidad de Playa Ancha

Valparaíso, Chile

Machine Learning; Ensemble Learning; Data Mining, Artificial Neural Networks, Deep Learning. Aplicaciones de estos temas en Energía, Minería e Ingeniería Costera.

Magister en Ciencias de la Ingeniería Informática, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2005
Doctorado en Ingeniería Informática, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2014
Ingeniero Civil Informático, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2005

Investigador Asociado Full Time

UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

Valparaíso, Chile

2014 - 2018
Académico Asociado Full Time

UNIVERSIDAD DE PLAYA ANCHA DE CIENCIAS DE LA EDUCACION

Ingeniería

Valparaíso, Chile

2018 - At present

Profesor

Universidad Técnica Federico Santa María

Chile

2003 - 2010
Investigador Asociado Full Time

Universidad Técnica Federico Santa María

Valparaíso, Chile

2014 - 2018
Jefe de Carrera Ingeniería Civil Informatica

Universidad Técnica Federico Santa María

Chile

2006 - 2006
Académico Full Time

Universidad de Playa Ancha

Valparaíso, Chile

2018 - At present

Best Paper Award

CIARP 2018 (Universidad Autónoma de Madrid)

España, 2018

Mejor artículo en la conferencia CIARP 2018, Madrid España.


An Attention-Based Architecture for Hierarchical Classification With CNNs Pizarro, Ivan; Nanculef, Ricardo; Valle, Carlos Article ISI IEEE ACCESS (2023)
Hybrid Algorithms for Energy Minimizing Vehicle Routing Problem: Integrating Clusterization and Ant Colony Optimization Frias, Nicolas; Johnson, Franklin; Valle, Carlos Article ISI IEEE ACCESS (2023)
Machine learning applications for urban photovoltaic potential estimation: A survey Valderrama, Alvaro; Valle, Carlos; Allende, Hector; Ibarra, Marcelo; Vasquez, Camila Article ISI NEUROCOMPUTING (2023)
Multi-step probabilistic forecasting model using deep learning parametrized distributions Serpell, Cristian; Valle, Carlos; Allende, Hector Article ISI SOFT COMPUTING (2023)
Discriminating the occurrence of inundation in tsunami early warning with one-dimensional convolutional neural networks Nunez, Jorge; Catalan, Patricio A.; Valle, Carlos; Zamora, Natalia; Valderrama, Alvaro Article ISI SCIENTIFIC REPORTS (2022)
Multi-agent deep reinforcement learning for efficient multi-timescale bidding of a hybrid power plant in day-ahead and real-time markets Ochoa, Tomas; Gil, Esteban; Angulo, Alejandro; Valle, Carlos Article ISI APPLIED ENERGY (2022)
Topic Models Ensembles for AD-HOC Information Retrieval Ormeno, Pablo; Mendoza, Marcelo; Valle, Carlos Article ISI INFORMATION (2021)
Addressing model uncertainty in probabilistic forecasting using Monte Carlo dropout Serpell, Cristian; Araya, Ignacio A.; Valle, Carlos; Allende, Hector Article ISI INTELLIGENT DATA ANALYSIS (2020)
Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm Johnson, Franklin; Valderrama, Alvaro; Valle, Carlos; Crawford, Broderick; Soto, Ricardo; Nanculef, Ricardo Article ISI IEEE ACCESS (2020)
Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis Valle, Carlos; Rodriguez-Fernandez, Maria; Eblen-Zajjur, Antonio Article ISI NEURAL PROCESSING LETTERS (2020)
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting Araya I.A.; Valle, C; Allende H. Article SCOPUS Pattern Recognition Letters (2019)
Boosting text clustering using topic selection Mendoza M.; Ormeno P.; Valle, C Article SCOPUS IET Conference Publications (2018)
LocalBoost: A Parallelizable Approach to Boosting Classifiers Valle, C; Ã‘anculef R.; Allende H.; Moraga C. Article SCOPUS Neural Processing Letters (2018)
Long short-term memory networks based in echo state networks for wind speed forecasting LÃ³pez E.; Valle, C; Allende H.; Gil E. Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
Multi-horizon scalable wind power forecast system Valenzuela C.; Allende H.; Valle, C Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
Neural networks for the reconstruction and separation of high energy particles in a preshower calorimeter Pavez J.; Hakobyan H.; Valle, C; Brooks W.; Kuleshov S.; Allende H. Article SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018)
Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory López, Erick; Valle, Carlos; Allende, Héctor; Gil, Esteban; Madsen, Henrik Article ISI SCOPUS ENERGIES (2018)
Improving the weighted distribution estimation for AdaBoost using a novel concurrent approach Allende-Cid, H.; Valle, C; Moraga, C.; Allende, H.; Salas, R. Article ISI SCOPUS Studies in Computational Intelligence (2016)
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster Fernandez, C.; Valle, C; Saravia F.; Allende, H. Article ISI SCOPUS Neural Computing and Applications (2012)
Training regression ensembles by sequential target correction and resampling Ñanculef R.; Valle, C; Allende, H.; Moraga, C. Article ISI SCOPUS Information Sciences (2012)
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks Valle, C; Saravia F.; Allende, H.; Monge R.; Fernandez, C. Article ISI SCOPUS Neural Processing Letters (2010)
Ensemble learning with local diversity Ñanculef R.; Valle, C; Allende, H.; Moraga, C. Article ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2006)
Local negative correlation with resampling Ñanculef R.; Valle, C; Allende, H.; Moraga, C. Article ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2006)
Moderated innovations in self-poised ensemble learning Ñanculef R.; Valle, C; Allende, H.; Moraga, C. Article ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2005)
Self-poised ensemble learning Ñanculef R.; Valle, C; Allende, H.; Moraga, C. Article ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2005)


Boosting collaborative filters for drug-target interaction prediction Orellana M C.; Ã‘anculef R.; Valle, C ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
Forecasting Ozone Pollution using Recurrent Neural Nets and Multiple Quantile Regression Flores-Vergara D.; Nanculef R.; Valle, C; Osses M.; Jacques A.; Dominguez M. ConferencePaper SCOPUS Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020 (2019)
LSTM-based multi-scale model for wind speed forecasting Araya I.A.; Valle, C; Allende H. ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks Serpell C.; Araya I.; Valle, C; Allende H. ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
Regularization for graph-based transfer learning text classification Serpell C.; Allende H.; Valle, C ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019)
Robust asymmetric Adaboost Ormeno P.; Ramírez F; Valle, C; Allende-Cid, H; Allende, H. ConferencePaper SCOPUS Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012)
Bagging with asymmetric costs for misclassified and correctly classified examples Ñanculef R.; Valle, C; Allende, H.; Moraga, C. ConferencePaper ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2007)
Two bagging algorithms with coupled learners to encourage diversity Valle, C; Ñanculef R.; Allende, H.; Moraga, C. ConferencePaper ISI HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT III (2007)


Interpretable Deep Learning Models for Time Series Forecasting Carlos Valle Proyecto (2023)
Deep Recurrent Neural Networks for Multiscale Time Series Forecasting Héctor Allende O.; Lopez, Erick; Valle, Carlos Proyecto (2017)
MÉTODOS DE APRENDIZAJE AUTOMÁTICO (MACHINE LEARNING) APLICADOS A LA EXTRACCIÓN DE PATRONES SOBRE GRANDES STREAMS DE DATOS PAI (79112038) Proyecto 2014-2018 Investigador(a)
Ensemble Learning Strategies for High-Dimensional and Non-Stationary Data Héctor Allende O.; Valle, Carlos Proyecto (2007)