Héctor Allende

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 31

Top Venues

CIARP

MCPR

IDC

Neural Process. Lett.

Publications

Sergio Campos, Juan Zamora, Héctor Allende
Block-wise imputation EM algorithm in multi-source scenario: ADNI case. Pattern Anal. Appl. 27 (2) (2024)
Gustavo Ulloa-Poblete, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. Computación y Sistemas (CyS) 27 (1) (2023)
Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez
Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing 526 (2023)
Cristián Serpell, Carlos Valle, Héctor Allende
Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Comput. 27 (14) (2023)
Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Raúl Monge, Héctor Allende
Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. MCPR (2022)
Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende
A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. ICIC (1) (2021)
R. Hermosilla, Carlos Valle, Héctor Allende, E. Lucic, P. Espinoza
Semi-Autogeonous (SAG) Mill Overload Forecasting. CIARP (2021)
Sebastián Rodríguez, Héctor Allende-Cid, Héctor Allende
Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. CIARP (2021)
Ignacio A. Araya, Carlos Valle, Héctor Allende
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. Pattern Recognit. Lett. 136 (2020)
Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Steren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. 28 (1) (2020)
Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR (2020)
Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. ICIAR (2) (2020)
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. 50 (1) (2019)
Cristián Serpell, Ignacio A. Araya, Carlos Valle, Héctor Allende
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. CIARP (2019)
Ignacio A. Araya, Carlos Valle, Héctor Allende
LSTM-Based Multi-scale Model for Wind Speed Forecasting. CIARP (2018)
Franco Ollino, Miguel A. Solis, Héctor Allende
Batch Reinforcement Learning on a RoboCup SSL Keepaway Strategy Learning Problem. CRoNe (2018)
Camilo Valenzuela, Héctor Allende, Carlos Valle
Multi-horizon Scalable Wind Power Forecast System. IWAIPR (2018)
Cristián Serpell, Héctor Allende, Carlos Valle
Regularization for Graph-Based Transfer Learning Text Classification. CIARP (2018)
Sergio Campos, Alejandro Veloz, Héctor Allende
An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. CIARP (2018)
Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Steren Chabert, Héctor Allende
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP (2018)
Juan Pavez, Héctor Allende, Héctor Allende-Cid
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. ACL (1) (2018)
Juan Pavez, Héctor Allende, Héctor Allende-Cid
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR (2018)
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. CIARP (2017)
Juan Pavez, Hayk Hakobyan, Carlos Valle, William Brooks, Sergey Kuleshov, Héctor Allende
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. CIARP (2017)
Erick López, Carlos Valle, Héctor Allende, Esteban Gil
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. CIARP (2016)
Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. 9 (3) (2016)
Héctor Allende-Cid, Diego Acuña, Héctor Allende
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP (2016)
Tomás Mardones, Héctor Allende, Claudio Moraga
Leveraging similarities and structure for dense representations combination in image retrieval. J. Vis. Commun. Image Represent. 38 (2016)
Héctor Allende-Cid, Raúl Monge, Héctor Allende
Soft Computing Applied to Distributed Regression with Context-Heterogeneity. J. Multiple Valued Log. Soft Comput. 26 (3-5) (2016)
Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. 43 (3) (2016)
Juan Zamora, Marcelo Mendoza, Héctor Allende
Hashing-based clustering in high dimensional data. Expert Syst. Appl. 62 (2016)
Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga
Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression. J. Univers. Comput. Sci. 21 (6) (2015)
Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC (2015)
Diego Acuña, Héctor Allende-Cid, Héctor Allende
The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. CIARP (2015)
Tomás Mardones, Héctor Allende, Claudio Moraga
Graph Fusion Using Global Descriptors for Image Retrieval. CIARP (2015)
Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP (2015)
Tomás Mardones, Héctor Allende, Claudio Moraga
Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques. ICPRAM (2) (2015)
Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Héctor Allende
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. CIARP (2015)
Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. Int. J. Pattern Recognit. Artif. Intell. 28 (7) (2014)
Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge
Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models. IDC (2014)
Juan Zamora, Marcelo Mendoza, Héctor Allende
Query Intent Detection Based on Query Log Mining. J. Web Eng. 13 (1&2) (2014)
Erick López, Héctor Allende, Héctor Allende-Cid
A Machine Learning Method for High-Frequency Data Forecasting. CIARP (2014)
Ricardo Ñanculef, Emanuele Frandi, Claudio Sartori, Héctor Allende
A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training. Inf. Sci. 285 (2014)
Tomás Mardones, Héctor Allende, Claudio Moraga
Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval. SCCC (2013)
Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga
Wind Speed Forecast under a Distributed Learning Approach. SCCC (2013)
Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori
Novel Frank-Wolfe Methods for SVM Learning CoRR (2013)
Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge
Context-Aware Regression from Distributed Sources. IDC (2013)
Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) (2013)
César Fernández, Carlos Valle, Francisco Saravia, Héctor Allende
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. 21 (3) (2012)
Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas
Stream Volume Prediction in Twitter with Artificial Neural Networks. ICPRAM (2) (2012)
Luis Sanz, Héctor Allende, Marcelo Mendoza
Text Content Reliability Estimation in Web Documents: A New Proposal. CICLing (2) (2012)
Felipe Ramírez, Héctor Allende
Dual Support Vector Domain Description for Imbalanced Classification. ICANN (1) (2012)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Training regression ensembles by sequential target correction and resampling. Inf. Sci. 195 (2012)
Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Robust Asymmetric Adaboost. CIARP (2012)
Gustavo Ulloa, Héctor Allende
Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. SCCC (2012)
Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL (2012)
Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid
An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP (2011)
Rodrigo Salas, Carolina Saavedra, Héctor Allende, Claudio Moraga
Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. Pattern Recognit. Lett. 32 (7) (2011)
Rodrigo Alfaro, Héctor Allende
Text Representation in Multi-label Classification: Two New Input Representations. ICANNGA (2) (2011)
Juan Reyes-Lopez, Sergio Campos, Héctor Allende, Rodrigo Salas
Zernike's Feature Descriptors for Iris Recognition with SVM. SCCC (2011)
Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori
Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) (2011)
Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende
A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. CIARP (2010)
Ramiro Donoso, Alejandro Veloz, Héctor Allende
Modified Expectation Maximization Algorithm for MRI Segmentation. CIARP (2010)
Carlos Valle, Francisco Saravia, Héctor Allende, Raúl Monge, César Fernández
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. Neural Process. Lett. 32 (3) (2010)
Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC (2010)
Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa
Semi-supervised Robust Alternating AdaBoost. CIARP (2009)
Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. KES (1) (2009)
Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
AD-SVMs: A light extension of SVMs for multicategory classification. Int. J. Hybrid Intell. Syst. 6 (2) (2009)
Sergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro
Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. CIARP (2009)
Carolina Saavedra, Rodrigo Salas, Héctor Allende, Claudio Moraga
Fusion of Topology Preserving Neural Networks. HAIS (2009)
Jorge Galbiati, Héctor Allende, Carlos Becerra
Dynamic Image Segmentation Method Using Hierarchical Clustering. CIARP (2009)
Claudio Moraga, Héctor Allende
Walsh Matrices in the Design of Industrial Experiments. EUROCAST (2009)
Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Steren Chabert, Héctor Allende
Self-Organizing Neuro-Fuzzy Inference System. CIARP (2008)
Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes. HIS (2008)
Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
Probabilistic Aggregation of Classifiers for Incremental Learning. IWANN (2007)
Héctor Allende, Carlos Becerra, Jorge Galbiati
A Segmentation Method for Digital Images Based on Cluster Analysis. ICANNGA (2) (2007)
Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing 70 (16-18) (2007)
Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende
Fusion of Self Organizing Maps. IWANN (2007)
Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef
Robust Alternating AdaBoost. CIARP (2007)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP (2007)
Max Chacón, Marcos A. Lévano, Héctor Allende, Hans Nowak
Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net. ICANNGA (2) (2007)
Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra
Fusion of Neural Gas. IWINAC (1) (2007)
Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA (2007)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Ensemble Learning with Local Diversity. ICANN (1) (2006)
Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende
Robustness Analysis of the Neural Gas Learning Algorithm. CIARP (2006)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Local Negative Correlation with Resampling. IDEAL (2006)
Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra
Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP (2005)
Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas
K-Dynamical Self Organizing Maps. MICAI (2005)
Héctor Allende, Jorge Galbiati
Edge Detection in Contaminated Images, Using Cluster Analysis. CIARP (2005)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Moderated Innovations in Self-poised Ensemble Learning. CIS (1) (2005)
Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas
Robust Growing Hierarchical Self Organizing Map. IWANN (2005)
Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
Self-poised Ensemble Learning. IDA (2005)
Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende
Multiresolution Fuzzy Rule Systems. Fuzzy Days (2004)
Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
Robust Self-organizing Maps. CIARP (2004)
Héctor Allende, Rodrigo Salas, Romina Torres, Claudio Moraga
Modular Neural Network Applied to Non-Stationary Time Series. Fuzzy Days (2004)
Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
Robust Neural Gas for the Analysis of Data with Outliers. SCCC (2004)
Héctor Allende, Jorge Galbiati
A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognit. Lett. 25 (8) (2004)
Héctor Allende, Ricardo Ñanculef, Rodrigo Salas
Robust Bootstrapping Neural Networks. MICAI (2004)
Héctor Allende, Rodrigo Salas, Claudio Moraga
A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. IbPRIA (2003)
Rodrigo Salas, Romina Torres, Héctor Allende, Claudio Moraga
Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. IWANN (2) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Héctor Allende