Héctor Allende

According to our database, Héctor Allende authored at least 105 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-step probabilistic forecasting model using deep learning parametrized distributions.

Cristián Serpell, Carlos Valle, Héctor Allende

Soft Comput., July, 2023

Machine learning applications for urban photovoltaic potential estimation: A survey.

Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez

Neurocomputing, March, 2023

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

2022

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

Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021

A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation.

Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende

Proceedings of the Intelligent Computing Theories and Application, 2021

Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations.

Sebastián Rodríguez, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Semi-Autogeonous (SAG) Mill Overload Forecasting.

Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Erich Lucic, Pablo Espinoza

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

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, Rodrigo Riveros, Carlos Bennett, Héctor Allende

IEEE Trans. Fuzzy Syst., 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

Comparison of Recurrent Neural Networks for Wind Power Forecasting.

Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning.

Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende

Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019

LocalBoost: A Parallelizable Approach to Boosting Classifiers.

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Neural Process. Lett., 2019

Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks.

Cristián Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018

Multi-horizon Scalable Wind Power Forecast System.

Camilo Valenzuela, Héctor Allende, Carlos Valle

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Batch Reinforcement Learning on a RoboCup SSL Keepaway Strategy Learning Problem.

Franco Ollino, Miguel A. Solis, Héctor Allende

Proceedings of the 4th Congress on Robotics and Neuroscience, 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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Regularization for Graph-Based Transfer Learning Text Classification.

Cristián Serpell, Héctor Allende, Carlos Valle

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification.

Sergio Campos, Alejandro Veloz, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

LSTM-Based Multi-scale Model for Wind Speed Forecasting.

Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module.

Juan Pavez, Héctor Allende, Héctor Allende-Cid

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting.

Erick López, Carlos Valle, Héctor Allende, Esteban Gil

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model.

Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga

Neural Process. Lett., 2016

Soft Computing Applied to Distributed Regression with Context-Heterogeneity.

Héctor Allende-Cid, Raúl Monge, Héctor Allende

J. Multiple Valued Log. Soft Comput., 2016

Leveraging similarities and structure for dense representations combination in image retrieval.

Tomás Mardones, Héctor Allende, Claudio Moraga

J. Vis. Commun. Image Represent., 2016

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System.

Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende

Int. J. Comput. Intell. Syst., 2016

Hashing-based clustering in high dimensional data.

Juan Zamora, Marcelo Mendoza, Héctor Allende

Expert Syst. Appl., 2016

Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting.

Erick López, Carlos Valle, Héctor Allende, Esteban Gil

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets.

Héctor Allende-Cid, Diego Acuña, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

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

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.

Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas

Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques.

Tomás Mardones, Héctor Allende, Claudio Moraga

Proceedings of the ICPRAM 2015, 2015

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach.

Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Graph Fusion Using Global Descriptors for Image Retrieval.

Tomás Mardones, Héctor Allende, Claudio Moraga

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting.

Diego Acuña, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

Query Intent Detection Based on Query Log Mining.

Juan Zamora, Marcelo Mendoza, Héctor Allende

J. Web Eng., 2014

A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training.

Ricardo Ñanculef, Emanuele Frandi, Claudio Sartori, Héctor Allende

Inf. Sci., 2014

Robust Sieve bootstrap Prediction Intervals for contaminated Time Series.

Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende

Int. J. Pattern Recognit. Artif. Intell., 2014

Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models.

Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge

Proceedings of the Intelligent Distributed Computing VIII, 2014

A Machine Learning Method for High-Frequency Data Forecasting.

Erick López, Héctor Allende, Héctor Allende-Cid

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Novel Frank-Wolfe Methods for SVM Learning

Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori

CoRR, 2013

Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval.

Tomás Mardones, Héctor Allende, Claudio Moraga

Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

Wind Speed Forecast under a Distributed Learning Approach.

Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga

Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

Context-Aware Regression from Distributed Sources.

Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge

Proceedings of the Intelligent Distributed Computing VII, 2013

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes.

Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

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

Training regression ensembles by sequential target correction and resampling.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Inf. Sci., 2012

Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes.

Gustavo Ulloa, Héctor Allende

Proceedings of the 31st International Conference of the Chilean Computer Science Society, 2012

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model.

Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende

Proceedings of the 42nd IEEE International Symposium on Multiple-Valued Logic, 2012

Stream Volume Prediction in Twitter with Artificial Neural Networks.

Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas

Proceedings of the ICPRAM 2012, 2012

Dual Support Vector Domain Description for Imbalanced Classification.

Felipe Ramírez, Héctor Allende

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Text Content Reliability Estimation in Web Documents: A New Proposal.

Luis Sanz, Héctor Allende, Marcelo Mendoza

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

Robust Asymmetric Adaboost.

Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

Machine fusion to enhance the topology preservation of vector quantization artificial neural networks.

Rodrigo Salas, Carolina Saavedra, Héctor Allende, Claudio Moraga

Pattern Recognit. Lett., 2011

Zernike's Feature Descriptors for Iris Recognition with SVM.

Juan Reyes-Lopez, Sergio Campos, Héctor Allende, Rodrigo Salas

Proceedings of the 30th International Conference of the Chilean Computer Science Society, 2011

Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs.

Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Text Representation in Multi-label Classification: Two New Input Representations.

Rodrigo Alfaro, Héctor Allende

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments.

Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

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

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features.

Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende

Proceedings of the SCCC 2010, 2010

Modified Expectation Maximization Algorithm for MRI Segmentation.

Ramiro Donoso, Alejandro Veloz, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine.

Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

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 Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting.

Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Fusion of Topology Preserving Neural Networks.

Carolina Saavedra, Rodrigo Salas, Héctor Allende, Claudio Moraga

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Walsh Matrices in the Design of Industrial Experiments.

Claudio Moraga, Héctor Allende

Proceedings of the Computer Aided Systems Theory, 2009

Dynamic Image Segmentation Method Using Hierarchical Clustering.

Jorge Galbiati, Héctor Allende, Carlos Becerra

Proceedings of the Progress in Pattern Recognition, 2009

Multimodal Algorithm for Iris Recognition with Local Topological Descriptors.

Sergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro

Proceedings of the Progress in Pattern Recognition, 2009

Semi-supervised Robust Alternating AdaBoost.

Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa

Proceedings of the Progress in Pattern Recognition, 2009

2008

Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes.

Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Self-Organizing Neuro-Fuzzy Inference System.

Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende

Proceedings of the Progress in Pattern Recognition, 2008

2007

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments.

Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga

Neurocomputing, 2007

Fusion of Neural Gas.

Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Probabilistic Aggregation of Classifiers for Incremental Learning.

Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Proceedings of the Computational and Ambient Intelligence, 2007

Fusion of Self Organizing Maps.

Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende

Proceedings of the Computational and Ambient Intelligence, 2007

Two Bagging Algorithms with Coupled Learners to Encourage Diversity.

Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net.

Max Chacón, Marcos A. Lévano, Héctor Allende, Hans Nowak

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

A Segmentation Method for Digital Images Based on Cluster Analysis.

Héctor Allende, Carlos Becerra, Jorge Galbiati

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Progress in Pattern Recognition, 2007

Robust Alternating AdaBoost.

Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef

Proceedings of the Progress in Pattern Recognition, 2007

2006

Local Negative Correlation with Resampling.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Ensemble Learning with Local Diversity.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Artificial Neural Networks, 2006

Robustness Analysis of the Neural Gas Learning Algorithm.

Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende

Proceedings of the Progress in Pattern Recognition, 2006

2005

K-Dynamical Self Organizing Maps.

Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Robust Growing Hierarchical Self Organizing Map.

Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Self-poised Ensemble Learning.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Moderated Innovations in Self-poised Ensemble Learning.

Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga

Proceedings of the Computational Intelligence and Security, International Conference, 2005

Flexible Architecture of Self Organizing Maps for Changing Environments.

Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra

Proceedings of the Progress in Pattern Recognition, 2005

Edge Detection in Contaminated Images, Using Cluster Analysis.

Héctor Allende, Jorge Galbiati

Proceedings of the Progress in Pattern Recognition, 2005

2004

A non-parametric filter for digital image restoration, using cluster analysis.

Héctor Allende, Jorge Galbiati

Pattern Recognit. Lett., 2004

Robust Neural Gas for the Analysis of Data with Outliers.

Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas

Proceedings of the XXIV International Conference of the Chilean Computer Science Society (SCCC 2004), 2004

Robust Bootstrapping Neural Networks.

Héctor Allende, Ricardo Ñanculef, Rodrigo Salas

Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Multiresolution Fuzzy Rule Systems.

Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

Modular Neural Network Applied to Non-Stationary Time Series.

Héctor Allende, Rodrigo Salas, Romina Torres, Claudio Moraga

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

Robust Self-organizing Maps.

Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas

Proceedings of the Progress in Pattern Recognition, 2004

2003

Robust Expectation Maximization Learning Algorithm for Mixture of Experts.

Romina Torres, Rodrigo Salas, Héctor Allende, Claudio Moraga

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series.

Rodrigo Salas, Romina Torres, Héctor Allende, Claudio Moraga

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Robust Learning Algorithm for the Mixture of Experts.

Héctor Allende, Romina Torres, Rodrigo Salas, Claudio Moraga

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function.

Héctor Allende, Rodrigo Salas, Claudio Moraga

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Robust Estimation of Roughness Parameter in SAR Amplitude Images.

Héctor Allende, Luis Pizarro

Proceedings of the Progress in Pattern Recognition, 2003

2002

Artificial neural networks in time series forecasting: a comparative analysis.

Héctor Allende, Claudio Moraga, Rodrigo Salas

Kybernetika, 2002

Robust Estimator for the Learning Process in Neural Networks Applied in Time Series.

Héctor Allende, Claudio Moraga, Rodrigo Salas

Proceedings of the Artificial Neural Networks, 2002

2001

Robust image modeling on image processing.

Héctor Allende, Jorge Galbiati, Ronny O. Vallejos

Pattern Recognit. Lett., 2001

Neural Model Identification Using Local Robustness Analysis.

Héctor Allende, Claudio Moraga, Rodrigo Salas

Proceedings of the Computational Intelligence, 2001