| 2024 | CIARP | Ensemble Approach to Adaptable Behavior Cloning for a Fighting Game AI. | Jos Garca, Carlos Castro, Carlos Valle |
| 2024 | CIARP | Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. | Camilo Maldonado, Carlos Valle, Hctor Allende |
| 2021 | CIARP | Semi-Autogeonous (SAG) Mill Overload Forecasting. | Rodrigo Hermosilla, Carlos Valle, Hctor Allende, Erich Lucic, Pablo Espinoza |
| 2019 | CIARP | Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. | Cristin Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Hctor Allende |
| 2018 | CIARP | LSTM-Based Multi-scale Model for Wind Speed Forecasting. | Ignacio Alejandro Araya Galleguillos, Carlos Valle, Hctor Allende |
| 2018 | CIARP | Boosting Collaborative Filters for Drug-Target Interaction Prediction. | Cristian M. Orellana, Ricardo anculef, Carlos Valle |
| 2018 | CIARP | Regularization for Graph-Based Transfer Learning Text Classification. | Cristin Serpell, Hctor Allende, Carlos Valle |
| 2017 | CIARP | Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. | Erick Lpez, Carlos Valle, Hctor Allende, Esteban Gil |
| 2017 | CIARP | 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, Hctor Allende |
| 2016 | CIARP | Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. | Erick Lpez, Carlos Valle, Hctor Allende, Esteban Gil |
| 2015 | CIARP | Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. | Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Hctor Allende |
| 2015 | IDC | Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. | Hctor Allende-Cid, Carlos Valle, Claudio Moraga, Hctor Allende, Rodrigo Salas |
| 2012 | CIARP | Robust Asymmetric Adaboost. | Pablo Ormeo, Felipe Ramrez, Carlos Valle, Hctor Allende-Cid, Hctor Allende |
| 2007 | CIARP | Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. | Ricardo anculef, Carlos Valle, Hctor Allende, Claudio Moraga |
| 2007 | IDA | Two Bagging Algorithms with Coupled Learners to Encourage Diversity. | Carlos Valle, Ricardo anculef, Hctor Allende, Claudio Moraga |
| 2006 | ICANN | Ensemble Learning with Local Diversity. | Ricardo anculef, Carlos Valle, Hctor Allende, Claudio Moraga |
| 2006 | IDEAL | Local Negative Correlation with Resampling. | Ricardo anculef, Carlos Valle, Hctor Allende, Claudio Moraga |
| 2005 | CIS | Moderated Innovations in Self-poised Ensemble Learning. | Ricardo anculef, Carlos Valle, Hctor Allende, Claudio Moraga |
| 2005 | IDA | Self-poised Ensemble Learning. | Ricardo anculef, Carlos Valle, Hctor Allende, Claudio Moraga |