Héctor Allende

110 papers B 2C 34Misc 9Journal 29Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bimodal beta mixture distribution for enhanced OOD inner-differentiation in multi-class text classification. Pattern Recognit. Lett. Camilo Maldonado, Carlos Valle, Héctor Allende
2024	J	`jnl`	Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance. Algorithms Pablo Neirz, Héctor Allende, Carolina Saavedra
2024	—	`conf`	Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. CIARP (1) Camilo Maldonado, Carlos Valle, Héctor Allende
2024	J	`jnl`	Block-wise imputation EM algorithm in multi-source scenario: ADNI case. Pattern Anal. Appl. Sergio Campos, Juan Zamora, Héctor Allende
2023	J	`jnl`	Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. Computación y Sistemas (CyS) Gustavo Ulloa-Poblete, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
2023	J	`jnl`	Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez
2023	J	`jnl`	Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Comput. Cristián Serpell, Carlos Valle, Héctor Allende
2022	—	`conf`	Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. MCPR Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Raúl Monge, Héctor Allende
2021	—	`conf`	A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. ICIC (1) Alvaro Valderrama, Carlos Valle, Marcelo Ibarra, Héctor Allende
2021	C	`conf`	Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. CIARP Sebastián Rodríguez, Héctor Allende-Cid, Héctor Allende
2021	C	`conf`	Semi-Autogeonous (SAG) Mill Overload Forecasting. CIARP Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Erich Lucic, Pablo Espinoza
2020	J	`jnl`	A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. Pattern Recognit. Lett. Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2020	—	`conf`	Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende
2020	J	`jnl`	Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende
2020	—	`conf`	Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. ICIAR (2) Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende
2019	J	`jnl`	LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2019	C	`conf`	Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. CIARP Cristián Serpell, Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2018	C	`conf`	An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. CIARP Sergio Campos, Alejandro Veloz, Héctor Allende
2018	—	`conf`	Batch Reinforcement Learning on a RoboCup SSL Keepaway Strategy Learning Problem. CRoNe Franco Ollino, Miguel A. Solis, Héctor Allende
2018	C	`conf`	Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Stéren Chabert, Héctor Allende
2018	C	`conf`	LSTM-Based Multi-scale Model for Wind Speed Forecasting. CIARP Ignacio Alejandro Araya Galleguillos, Carlos Valle, Héctor Allende
2018	—	`conf`	Multi-horizon Scalable Wind Power Forecast System. IWAIPR Camilo Valenzuela, Héctor Allende, Carlos Valle
2018	C	`conf`	Regularization for Graph-Based Transfer Learning Text Classification. CIARP Cristián Serpell, Héctor Allende, Carlos Valle
2018	—	`conf`	Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. ACL (1) Juan Pavez, Héctor Allende, Héctor Allende-Cid
2018	J	`jnl`	Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR Juan Pavez, Héctor Allende, Héctor Allende-Cid
2017	C	`conf`	Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. CIARP Erick López, Carlos Valle, Héctor Allende, Esteban Gil
2017	C	`conf`	Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. CIARP Juan Pavez, Hayk Hakobyan, Carlos Valle, William Brooks, Sergey Kuleshov, Héctor Allende
2016	C	`conf`	Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. CIARP Erick López, Carlos Valle, Héctor Allende, Esteban Gil
2016	J	`jnl`	Hashing-based clustering in high dimensional data. Expert Syst. Appl. Juan Zamora, Marcelo Mendoza, Héctor Allende
2016	J	`jnl`	Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga
2016	J	`jnl`	Leveraging similarities and structure for dense representations combination in image retrieval. J. Vis. Commun. Image Represent. Tomás Mardones, Héctor Allende, Claudio Moraga
2016	J	`jnl`	SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende
2016	J	`jnl`	Soft Computing Applied to Distributed Regression with Context-Heterogeneity. J. Multiple Valued Log. Soft Comput. Héctor Allende-Cid, Raúl Monge, Héctor Allende
2016	C	`conf`	Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP Héctor Allende-Cid, Diego Acuña, Héctor Allende
2015	—	`conf`	Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques. ICPRAM (2) Tomás Mardones, Héctor Allende, Claudio Moraga
2015	J	`jnl`	Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression. J. Univers. Comput. Sci. Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga
2015	C	`conf`	Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. CIARP Sergio Campos, Luis Pizarro, Carlos Valle, Katherine R. Gray, Daniel Rueckert, Héctor Allende
2015	C	`conf`	Graph Fusion Using Global Descriptors for Image Retrieval. CIARP Tomás Mardones, Héctor Allende, Claudio Moraga
2015	C	`conf`	Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
2015	Misc	`conf`	Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas
2015	C	`conf`	The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. CIARP Diego Acuña, Héctor Allende-Cid, Héctor Allende
2014	C	`conf`	A Machine Learning Method for High-Frequency Data Forecasting. CIARP Erick López, Héctor Allende, Héctor Allende-Cid
2014	J	`jnl`	A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training. Inf. Sci. Ricardo Ñanculef, Emanuele Frandi, Claudio Sartori, Héctor Allende
2014	J	`jnl`	Query Intent Detection Based on Query Log Mining. J. Web Eng. Juan Zamora, Marcelo Mendoza, Héctor Allende
2014	Misc	`conf`	Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models. IDC Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge
2014	J	`jnl`	Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. Int. J. Pattern Recognit. Artif. Intell. Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
2013	—	`conf`	Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval. SCCC Tomás Mardones, Héctor Allende, Claudio Moraga
2013	Misc	`conf`	Context-Aware Regression from Distributed Sources. IDC Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge
2013	J	`jnl`	Novel Frank-Wolfe Methods for SVM Learning CoRR Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori
2013	—	`conf`	Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
2013	—	`conf`	Wind Speed Forecast under a Distributed Learning Approach. SCCC Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga
2012	J	`jnl`	Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. César Fernández, Carlos Valle, Francisco Saravia, Héctor Allende
2012	—	`conf`	Dual Support Vector Domain Description for Imbalanced Classification. ICANN (1) Felipe Ramírez, Héctor Allende
2012	C	`conf`	Robust Asymmetric Adaboost. CIARP Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende
2012	—	`conf`	SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende
2012	—	`conf`	Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. SCCC Gustavo Ulloa, Héctor Allende
2012	—	`conf`	Stream Volume Prediction in Twitter with Artificial Neural Networks. ICPRAM (2) Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas
2012	—	`conf`	Text Content Reliability Estimation in Web Documents: A New Proposal. CICLing (2) Luis Sanz, Héctor Allende, Marcelo Mendoza
2012	J	`jnl`	Training regression ensembles by sequential target correction and resampling. Inf. Sci. Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2011	C	`conf`	An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid
2011	J	`jnl`	Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. Pattern Recognit. Lett. Rodrigo Salas, Carolina Saavedra, Héctor Allende, Claudio Moraga
2011	—	`conf`	Text Representation in Multi-label Classification: Two New Input Representations. ICANNGA (2) Rodrigo Alfaro, Héctor Allende
2011	—	`conf`	Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori
2011	—	`conf`	Zernike's Feature Descriptors for Iris Recognition with SVM. SCCC Juan Reyes-Lopez, Sergio Campos, Héctor Allende, Rodrigo Salas
2010	C	`conf`	A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. CIARP Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende
2010	C	`conf`	Modified Expectation Maximization Algorithm for MRI Segmentation. CIARP Ramiro Donoso, Alejandro Veloz, Héctor Allende
2010	—	`conf`	Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
2010	J	`jnl`	Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. Neural Process. Lett. Carlos Valle, Francisco Saravia, Héctor Allende, Raúl Monge, César Fernández
2009	—	`conf`	A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. KES (1) Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas
2009	J	`jnl`	AD-SVMs: A light extension of SVMs for multicategory classification. Int. J. Hybrid Intell. Syst. Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
2009	C	`conf`	Dynamic Image Segmentation Method Using Hierarchical Clustering. CIARP Jorge Galbiati, Héctor Allende, Carlos Becerra
2009	Misc	`conf`	Fusion of Topology Preserving Neural Networks. HAIS Carolina Saavedra, Rodrigo Salas, Héctor Allende, Claudio Moraga
2009	C	`conf`	Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. CIARP Sergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro
2009	C	`conf`	Semi-supervised Robust Alternating AdaBoost. CIARP Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa
2009	—	`conf`	Walsh Matrices in the Design of Industrial Experiments. EUROCAST Claudio Moraga, Héctor Allende
2008	C	`conf`	Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes. HIS Ricardo Ñanculef, Carlos Concha, Héctor Allende, Diego Candel, Claudio Moraga
2008	C	`conf`	Self-Organizing Neuro-Fuzzy Inference System. CIARP Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende
2007	—	`conf`	A Segmentation Method for Digital Images Based on Cluster Analysis. ICANNGA (2) Héctor Allende, Carlos Becerra, Jorge Galbiati
2007	J	`jnl`	A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga
2007	C	`conf`	Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2007	—	`conf`	Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net. ICANNGA (2) Max Chacón, Marcos A. Lévano, Héctor Allende, Hans Nowak
2007	—	`conf`	Fusion of Neural Gas. IWINAC (1) Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra
2007	Misc	`conf`	Fusion of Self Organizing Maps. IWANN Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende
2007	Misc	`conf`	Probabilistic Aggregation of Classifiers for Incremental Learning. IWANN Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2007	C	`conf`	Robust Alternating AdaBoost. CIARP Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef
2007	B	`conf`	Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga
2006	—	`conf`	Ensemble Learning with Local Diversity. ICANN (1) Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2006	C	`conf`	Local Negative Correlation with Resampling. IDEAL Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2006	C	`conf`	Robustness Analysis of the Neural Gas Learning Algorithm. CIARP Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende
2005	C	`conf`	Edge Detection in Contaminated Images, Using Cluster Analysis. CIARP Héctor Allende, Jorge Galbiati
2005	C	`conf`	Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra
2005	—	`conf`	K-Dynamical Self Organizing Maps. MICAI Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas
2005	—	`conf`	Moderated Innovations in Self-poised Ensemble Learning. CIS (1) Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2005	Misc	`conf`	Robust Growing Hierarchical Self Organizing Map. IWANN Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas
2005	B	`conf`	Self-poised Ensemble Learning. IDA Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga
2004	J	`jnl`	A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognit. Lett. Héctor Allende, Jorge Galbiati
2004	—	`conf`	Modular Neural Network Applied to Non-Stationary Time Series. Fuzzy Days Héctor Allende, Rodrigo Salas, Romina Torres, Claudio Moraga
2004	—	`conf`	Multiresolution Fuzzy Rule Systems. Fuzzy Days Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende
2004	—	`conf`	Robust Bootstrapping Neural Networks. MICAI Héctor Allende, Ricardo Ñanculef, Rodrigo Salas
2004	—	`conf`	Robust Neural Gas for the Analysis of Data with Outliers. SCCC Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
2004	C	`conf`	Robust Self-organizing Maps. CIARP Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
2003	Misc	`conf`	A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. IbPRIA Héctor Allende, Rodrigo Salas, Claudio Moraga
2003	—	`conf`	Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. IWANN (2) Rodrigo Salas, Romina Torres, Héctor Allende, Claudio Moraga
2003	C	`conf`	Robust Estimation of Roughness Parameter in SAR Amplitude Images. CIARP Héctor Allende, Luis Pizarro
2003	—	`conf`	Robust Expectation Maximization Learning Algorithm for Mixture of Experts. IWANN (1) Romina Torres, Rodrigo Salas, Héctor Allende, Claudio Moraga
2003	Misc	`conf`	Robust Learning Algorithm for the Mixture of Experts. IbPRIA Héctor Allende, Romina Torres, Rodrigo Salas, Claudio Moraga
2002	J	`jnl`	Artificial neural networks in time series forecasting: a comparative analysis. Kybernetika Héctor Allende, Claudio Moraga, Rodrigo Salas
2002	C	`conf`	Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. ICANN Héctor Allende, Claudio Moraga, Rodrigo Salas
2001	—	`conf`	Neural Model Identification Using Local Robustness Analysis. Fuzzy Days Héctor Allende, Claudio Moraga, Rodrigo Salas
2001	J	`jnl`	Robust image modeling on image processing. Pattern Recognit. Lett. Héctor Allende, Jorge Galbiati, Ronny O. Vallejos