Neural Model Identification Using Local Robustness Analysis. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (Fuzzy Days, 2001)

Robust image modeling on image processing. - Héctor Allende; Jorge Galbiati; Ronny O. Vallejos (Pattern Recognit. Lett., 2001)

Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (ICANN, 2002)

Artificial neural networks in time series forecasting: a comparative analysis. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (Kybernetika, 2002)

Robust Estimation of Roughness Parameter in SAR Amplitude Images. - Héctor Allende; Luis Pizarro (CIARP, 2003)

A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. - Héctor Allende; Rodrigo Salas 001; Claudio Moraga (IbPRIA, 2003)

Robust Learning Algorithm for the Mixture of Experts. - Héctor Allende; Romina Torres; Rodrigo Salas 001; Claudio Moraga (IbPRIA, 2003)

Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. - Rodrigo Salas 001; Romina Torres; Héctor Allende; Claudio Moraga (IWANN (2), 2003)

Robust Expectation Maximization Learning Algorithm for Mixture of Experts. - Romina Torres; Rodrigo Salas 001; Héctor Allende; Claudio Moraga (IWANN (1), 2003)

Robust Self-organizing Maps. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (CIARP, 2004)

Modular Neural Network Applied to Non-Stationary Time Series. - Héctor Allende; Rodrigo Salas 001; Romina Torres; Claudio Moraga (Fuzzy Days, 2004)

Multiresolution Fuzzy Rule Systems. - Ricardo Ñanculef; Carlos Concha; Claudio Moraga; Héctor Allende (Fuzzy Days, 2004)

Robust Bootstrapping Neural Networks. - Héctor Allende; Ricardo Ñanculef; Rodrigo Salas 001 (MICAI, 2004)

Robust Neural Gas for the Analysis of Data with Outliers. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (SCCC, 2004)

A non-parametric filter for digital image restoration, using cluster analysis. - Héctor Allende; Jorge Galbiati (Pattern Recognit. Lett., 2004)

Edge Detection in Contaminated Images, Using Cluster Analysis. - Héctor Allende; Jorge Galbiati (CIARP, 2005)

Flexible Architecture of Self Organizing Maps for Changing Environments. - Rodrigo Salas 001; Héctor Allende; Sebastián Moreno; Carolina Saavedra (CIARP, 2005)

Moderated Innovations in Self-poised Ensemble Learning. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (CIS (1), 2005)

Self-poised Ensemble Learning. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (IDA, 2005)

Robust Growing Hierarchical Self Organizing Map. - Sebastián Moreno; Héctor Allende; Cristian Rogel; Rodrigo Salas 001 (IWANN, 2005)

K-Dynamical Self Organizing Maps. - Carolina Saavedra; Héctor Allende; Sebastián Moreno; Rodrigo Salas 001 (MICAI, 2005)

Robustness Analysis of the Neural Gas Learning Algorithm. - Carolina Saavedra; Sebastián Moreno; Rodrigo Salas 001; Héctor Allende (CIARP, 2006)

Ensemble Learning with Local Diversity. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (ICANN (1), 2006)

Local Negative Correlation with Resampling. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (IDEAL, 2006)

Robust Alternating AdaBoost. - Héctor Allende-Cid; Rodrigo Salas 001; Héctor Allende; Ricardo Ñanculef (CIARP, 2007)

Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (CIARP, 2007)

A Segmentation Method for Digital Images Based on Cluster Analysis. - Héctor Allende; Carlos Becerra; Jorge Galbiati (ICANNGA (2), 2007)

Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net. - Max Chacón; Marcos A. Lévano; Héctor Allende; Hans Nowak (ICANNGA (2), 2007)

Two Bagging Algorithms with Coupled Learners to Encourage Diversity. - Carlos Valle; Ricardo Ñanculef; Héctor Allende; Claudio Moraga (IDA, 2007)

Fusion of Self Organizing Maps. - Carolina Saavedra; Rodrigo Salas 001; Sebastián Moreno; Héctor Allende (IWANN, 2007)

Probabilistic Aggregation of Classifiers for Incremental Learning. - Patricia Trejo; Ricardo Ñanculef; Héctor Allende; Claudio Moraga (IWANN, 2007)

Fusion of Neural Gas. - Sebastián Moreno; Héctor Allende; Rodrigo Salas 001; Carolina Saavedra (IWINAC (1), 2007)

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. - Rodrigo Salas 001; Sebastián Moreno; Héctor Allende; Claudio Moraga (Neurocomputing, 2007)

Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Alejandro Veloz; Rodrigo Salas 001; Stéren Chabert; Héctor Allende (CIARP, 2008)

Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes. - Ricardo Ñanculef; Carlos Concha; Héctor Allende; Diego Candel; Claudio Moraga (HIS, 2008)

Semi-supervised Robust Alternating AdaBoost. - Héctor Allende-Cid; Jorge Mendoza; Héctor Allende; Enrique Canessa (CIARP, 2009)

Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. - Sergio Campos; Rodrigo Salas 001; Héctor Allende; Carlos Castro 001 (CIARP, 2009)

Dynamic Image Segmentation Method Using Hierarchical Clustering. - Jorge Galbiati; Héctor Allende; Carlos Becerra (CIARP, 2009)

Walsh Matrices in the Design of Industrial Experiments. - Claudio Moraga; Héctor Allende (EUROCAST, 2009)

Fusion of Topology Preserving Neural Networks. - Carolina Saavedra; Rodrigo Salas 001; Héctor Allende; Claudio Moraga (HAIS, 2009)

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. - Alejandro Veloz; Héctor Allende-Cid; Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (KES (1), 2009)

AD-SVMs: A light extension of SVMs for multicategory classification. - Ricardo Ñanculef; Carlos Concha; Héctor Allende; Diego Candel; Claudio Moraga (Int. J. Hybrid Intell. Syst., 2009)

A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. - Diego Candel; Ricardo Ñanculef; Carlos Concha; Héctor Allende (CIARP, 2010)

Modified Expectation Maximization Algorithm for MRI Segmentation. - Ramiro Donoso; Alejandro Veloz; Héctor Allende (CIARP, 2010)

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. - Felipe Ramírez; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (SCCC, 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)

An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. - Ricardo Ñanculef; Erick López; Héctor Allende; Héctor Allende-Cid (CIARP, 2011)

Text Representation in Multi-label Classification: Two New Input Representations. - Rodrigo Alfaro; Héctor Allende (ICANNGA (2), 2011)

Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. - Ricardo Ñanculef; Héctor Allende; Stefano Lodi; Claudio Sartori 001 (ICANNGA (2), 2011)

Zernike's Feature Descriptors for Iris Recognition with SVM. - Juan Reyes-Lopez; Sergio Campos; Héctor Allende; Rodrigo Salas 001 (SCCC, 2011)

Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. - Rodrigo Salas 001; Carolina Saavedra; Héctor Allende; Claudio Moraga (Pattern Recognit. Lett., 2011)

Robust Asymmetric Adaboost. - Pablo Ormeño; Felipe Ramírez; Carlos Valle; Héctor Allende-Cid; Héctor Allende (CIARP, 2012)

Text Content Reliability Estimation in Web Documents: A New Proposal. - Luis Sanz; Héctor Allende; Marcelo Mendoza (CICLing (2), 2012)

Dual Support Vector Domain Description for Imbalanced Classification. - Felipe Ramírez; Héctor Allende (ICANN (1), 2012)

Stream Volume Prediction in Twitter with Artificial Neural Networks. - Gabriela Dominguez; Juan Zamora; Miguel Guevara 002; Héctor Allende; Rodrigo Salas 001 (ICPRAM (2), 2012)

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende (ISMVL, 2012)

Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. - Gustavo Ulloa; Héctor Allende (SCCC, 2012)

Training regression ensembles by sequential target correction and resampling. - Ricardo Ñanculef; Carlos Valle; Héctor Allende; Claudio Moraga (Inf. Sci., 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)

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP (1), 2013)

Context-Aware Regression from Distributed Sources. - Héctor Allende-Cid; Claudio Moraga; Héctor Allende; Raúl Monge (IDC, 2013)

Wind Speed Forecast under a Distributed Learning Approach. - Héctor Allende-Cid; Héctor Allende; Raúl Monge; Claudio Moraga (SCCC, 2013)

Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval. - Tomás Mardones; Héctor Allende; Claudio Moraga (SCCC, 2013)

Novel Frank-Wolfe Methods for SVM Learning - Héctor Allende; Emanuele Frandi; Ricardo Ñanculef; Claudio Sartori 001 (CoRR, 2013)

A Machine Learning Method for High-Frequency Data Forecasting. - Erick López; Héctor Allende; Héctor Allende-Cid (CIARP, 2014)

Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models. - Héctor Allende-Cid; Claudio Moraga; Héctor Allende; Raúl Monge (IDC, 2014)

Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (Int. J. Pattern Recognit. Artif. Intell., 2014)

A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training. - Ricardo Ñanculef; Emanuele Frandi; Claudio Sartori 001; Héctor Allende (Inf. Sci., 2014)

Query Intent Detection Based on Query Log Mining. - Juan Zamora; Marcelo Mendoza; Héctor Allende (J. Web Eng., 2014)

The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. - Diego Acuña; Héctor Allende-Cid; Héctor Allende (CIARP, 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 (CIARP, 2015)

Graph Fusion Using Global Descriptors for Image Retrieval. - Tomás Mardones; Héctor Allende; Claudio Moraga (CIARP, 2015)

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP, 2015)

Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques. - Tomás Mardones; Héctor Allende; Claudio Moraga (ICPRAM (2), 2015)

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. - Héctor Allende-Cid; Carlos Valle; Claudio Moraga; Héctor Allende; Rodrigo Salas 001 (IDC, 2015)

Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression. - Héctor Allende-Cid; Héctor Allende; Raúl Monge; Claudio Moraga (J. Univers. Comput. Sci., 2015)

Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. - Héctor Allende-Cid; Diego Acuña; Héctor Allende (CIARP, 2016)

Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. - Erick López; Carlos Valle; Héctor Allende; Esteban Gil (CIARP, 2016)

Hashing-based clustering in high dimensional data. - Juan Zamora; Marcelo Mendoza; Héctor Allende (Expert Syst. Appl., 2016)

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Rodrigo Salas 001; Alejandro Veloz; Claudio Moraga; Héctor Allende (Int. J. Comput. Intell. Syst., 2016)

Leveraging similarities and structure for dense representations combination in image retrieval. - Tomás Mardones; Héctor Allende; Claudio Moraga (J. Vis. Commun. Image Represent., 2016)

Soft Computing Applied to Distributed Regression with Context-Heterogeneity. - Héctor Allende-Cid; Raúl Monge; Héctor Allende (J. Multiple Valued Log. Soft Comput., 2016)

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2016)

Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. - Erick López; Carlos Valle; Héctor Allende; Esteban Gil (CIARP, 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 (CIARP, 2017)

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. - Juan Pavez; Héctor Allende; Héctor Allende-Cid (ACL (1), 2018)

LSTM-Based Multi-scale Model for Wind Speed Forecasting. - Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (CIARP, 2018)

An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. - Sergio Campos; Alejandro Veloz; Héctor Allende (CIARP, 2018)

Regularization for Graph-Based Transfer Learning Text Classification. - Cristián Serpell; Héctor Allende; Carlos Valle (CIARP, 2018)

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. - Gustavo Ulloa; Rodrigo Naranjo; Héctor Allende-Cid; Stéren Chabert; Héctor Allende (CIARP, 2018)

Batch Reinforcement Learning on a RoboCup SSL Keepaway Strategy Learning Problem. - Franco Ollino; Miguel A. Solis; Héctor Allende (CRoNe, 2018)

Multi-horizon Scalable Wind Power Forecast System. - Camilo Valenzuela; Héctor Allende; Carlos Valle (IWAIPR, 2018)

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. - Cristián Serpell; Ignacio Alejandro Araya Galleguillos; Carlos Valle; Héctor Allende (CIARP, 2019)

LocalBoost: A Parallelizable Approach to Boosting Classifiers. - Carlos Valle; Ricardo Ñanculef; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2019)

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Héctor Allende (ICIAR (2), 2020)

Comparison of Recurrent Neural Networks for Wind Power Forecasting. - Erick López; Carlos Valle; Héctor Allende-Cid; Héctor Allende (MCPR, 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)

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. - Alejandro Veloz; Claudio Moraga; Alejandro J. Weinstein; Luis Hernandez-Garcia; Stéren Chabert; Rodrigo Salas 001; Rodrigo Riveros; Carlos Bennett; Héctor Allende (IEEE Trans. Fuzzy Syst., 2020)

Semi-Autogeonous (SAG) Mill Overload Forecasting. - Rodrigo Hermosilla; Carlos Valle; Héctor Allende; Erich Lucic; Pablo Espinoza (CIARP, 2021)

Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. - Sebastián Rodríguez; Héctor Allende-Cid; Héctor Allende (CIARP, 2021)

A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. - Alvaro Valderrama; Carlos Valle; Marcelo Ibarra; Héctor Allende (ICIC (1), 2021)

Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Raúl Monge; Héctor Allende (MCPR, 2022)

Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. - Gustavo Ulloa-Poblete; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (Computación y Sistemas (CyS), 2023)

Machine learning applications for urban photovoltaic potential estimation: A survey. - Alvaro Valderrama; Carlos Valle; Héctor Allende; Marcelo Ibarra; Camila Vásquez (Neurocomputing, 2023)

Multi-step probabilistic forecasting model using deep learning parametrized distributions. - Cristián Serpell; Carlos Valle; Héctor Allende (Soft Comput., 2023)

Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. - Camilo Maldonado; Carlos Valle; Héctor Allende (CIARP (1), 2024)

Block-wise imputation EM algorithm in multi-source scenario: ADNI case. - Sergio Campos; Juan Zamora; Héctor Allende (Pattern Anal. Appl., 2024)