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Héctor Allende
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- affiliation: Federico Santa María Technical University, Valparaíso, Chile
- not to be confused with: Héctor Allende-Cid
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2020 – today
- 2024
- [j25]Sergio Campos, Juan Zamora, Héctor Allende:
Block-wise imputation EM algorithm in multi-source scenario: ADNI case. Pattern Anal. Appl. 27(2): 44 (2024) - [c81]Camilo Maldonado, Carlos Valle, Héctor Allende:
Beta Distribution Approach for Outlier Exposure in Multi-class Text Classification. CIARP (1) 2024: 198-212 - 2023
- [j24]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) - [j23]Alvaro Valderrama, Carlos Valle, Héctor Allende, Marcelo Ibarra, Camila Vásquez:
Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing 526: 80-95 (2023) - [j22]Cristián Serpell
, Carlos Valle
Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Comput. 27(14): 9479-9500 (2023) - 2022
- [c80]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: 338-347 - 2021
- [c79]Sebastián Rodríguez, Héctor Allende-Cid, Héctor Allende:
Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. CIARP 2021: 77-87 - [c78]Rodrigo Hermosilla, Carlos Valle
Semi-Autogeonous (SAG) Mill Overload Forecasting. CIARP 2021: 392-401 - [c77]Alvaro Valderrama
A Heterogeneous 1D Convolutional Architecture for Urban Photovoltaic Estimation. ICIC (1) 2021: 435-449 - 2020
- [j21]Ignacio Alejandro Araya Galleguillos, Carlos Valle
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting. Pattern Recognit. Lett. 136: 333-340 (2020) - [j20]Alejandro Veloz
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. 28(1): 100-111 (2020) - [c76]Gustavo Ulloa, Alejandro Veloz
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. ICIAR (2) 2020: 182-192 - [c75]Erick López
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR 2020: 25-34
2010 – 2019
- 2019
- [j19]Carlos Valle
LocalBoost: A Parallelizable Approach to Boosting Classifiers. Neural Process. Lett. 50(1): 19-41 (2019) - [c74]Cristián Serpell
Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks. CIARP 2019: 387-397 - 2018
- [c73]Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. ACL (1) 2018: 1000-1009 - [c72]Ignacio Alejandro Araya Galleguillos, Carlos Valle
LSTM-Based Multi-scale Model for Wind Speed Forecasting. CIARP 2018: 38-45 - [c71]Sergio Campos, Alejandro Veloz, Héctor Allende
An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification. CIARP 2018: 194-202 - [c70]Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Stéren Chabert, Héctor Allende:
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP 2018: 673-680 - [c69]Cristián Serpell
Regularization for Graph-Based Transfer Learning Text Classification. CIARP 2018: 849-856 - [c68]Franco Ollino, Miguel A. Solis, Héctor Allende:
Batch Reinforcement Learning on a RoboCup SSL Keepaway Strategy Learning Problem. CRoNe 2018: 11-17 - [c67]Camilo Valenzuela, Héctor Allende
Multi-horizon Scalable Wind Power Forecast System. IWAIPR 2018: 317-325 - [i2]Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR abs/1805.09354 (2018) - 2017
- [c66]Erick López
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting. CIARP 2017: 347-355 - [c65]Juan Pavez, Hayk Hakobyan, Carlos Valle
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter. CIARP 2017: 491-498 - 2016
- [j18]Juan Zamora
Hashing-based clustering in high dimensional data. Expert Syst. Appl. 62: 202-211 (2016) - [j17]Héctor Allende-Cid, Rodrigo Salas
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. 9(3): 416-432 (2016) - [j16]Tomás Mardones, Héctor Allende
Leveraging similarities and structure for dense representations combination in image retrieval. J. Vis. Commun. Image Represent. 38: 641-657 (2016) - [j15]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): 389-416 (2016) - [j14]Alejandro Veloz, Rodrigo Salas
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. 43(3): 641-666 (2016) - [c64]Héctor Allende-Cid, Diego Acuña, Héctor Allende:
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP 2016: 318-325 - [c63]Erick López
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting. CIARP 2016: 409-416 - 2015
- [j13]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): 842-855 (2015) - [c62]Sergio Campos, Luis Pizarro, Carlos Valle
Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study. CIARP 2015: 3-10 - [c61]Tomás Mardones, Héctor Allende
Graph Fusion Using Global Descriptors for Image Retrieval. CIARP 2015: 290-297 - [c60]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP 2015: 408-415 - [c59]Diego Acuña, Héctor Allende-Cid, Héctor Allende:
The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. CIARP 2015: 527-534 - [c58]Tomás Mardones, Héctor Allende, Claudio Moraga:
Combining Fisher Vectors in Image Retrieval Using Different Sampling Techniques. ICPRAM (2) 2015: 128-135 - [c57]Héctor Allende-Cid, Carlos Valle
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC 2015: 223-232 - 2014
- [j12]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) - [j11]Ricardo Ñanculef, Emanuele Frandi
A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training. Inf. Sci. 285: 66-99 (2014) - [j10]Juan Zamora, Marcelo Mendoza, Héctor Allende:
Query Intent Detection Based on Query Log Mining. J. Web Eng. 13(1&2): 24-52 (2014) - [c56]Erick López, Héctor Allende, Héctor Allende-Cid:
A Machine Learning Method for High-Frequency Data Forecasting. CIARP 2014: 621-628 - [c55]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: 249-258 - 2013
- [c54]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) 2013: 84-91 - [c53]Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge:
Context-Aware Regression from Distributed Sources. IDC 2013: 17-22 - [c52]Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga:
Wind Speed Forecast under a Distributed Learning Approach. SCCC 2013: 44-48 - [c51]Tomás Mardones, Héctor Allende
Combining Descriptors Obtained through Different Sampling Techniques in Image Retrieval. SCCC 2013: 81-84 - [i1]Héctor Allende, Emanuele Frandi, Ricardo Ñanculef, Claudio Sartori:
Novel Frank-Wolfe Methods for SVM Learning. CoRR abs/1304.1014 (2013) - 2012
- [j9]Ricardo Ñanculef, Carlos Valle
Training regression ensembles by sequential target correction and resampling. Inf. Sci. 195: 154-174 (2012) - [j8]César Fernández, Carlos Valle
Behavior analysis of neural network ensemble algorithm on a virtual machine cluster. Neural Comput. Appl. 21(3): 535-542 (2012) - [c50]Pablo Ormeño, Felipe Ramírez, Carlos Valle
Robust Asymmetric Adaboost. CIARP 2012: 519-526 - [c49]Luis Sanz, Héctor Allende
Text Content Reliability Estimation in Web Documents: A New Proposal. CICLing (2) 2012: 438-449 - [c48]Felipe Ramírez, Héctor Allende
Dual Support Vector Domain Description for Imbalanced Classification. ICANN (1) 2012: 710-717 - [c47]Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas:
Stream Volume Prediction in Twitter with Artificial Neural Networks. ICPRAM (2) 2012: 488-493 - [c46]Alejandro Veloz, Rodrigo Salas
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL 2012: 226-231 - [c45]Gustavo Ulloa, Héctor Allende
Sieve Bootstrap Prediction Intervals for Contamined BIP-ARMA Processes. SCCC 2012: 241-244 - 2011
- [j7]Rodrigo Salas
Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. Pattern Recognit. Lett. 32(7): 962-972 (2011) - [c44]Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid:
An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP 2011: 541-548 - [c43]Rodrigo Alfaro
Text Representation in Multi-label Classification: Two New Input Representations. ICANNGA (2) 2011: 61-70 - [c42]Ricardo Ñanculef, Héctor Allende
Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) 2011: 363-372 - [c41]Juan Reyes-Lopez, Sergio Campos, Héctor Allende
Zernike's Feature Descriptors for Iris Recognition with SVM. SCCC 2011: 283-288 - 2010
- [j6]Carlos Valle
Parallel Approach for Ensemble Learning with Locally Coupled Neural Networks. Neural Process. Lett. 32(3): 277-291 (2010) - [c40]Ramiro Donoso, Alejandro Veloz, Héctor Allende
Modified Expectation Maximization Algorithm for MRI Segmentation. CIARP 2010: 63-70 - [c39]Diego Candel, Ricardo Ñanculef, Carlos Concha, Héctor Allende
A Sequential Minimal Optimization Algorithm for the All-Distances Support Vector Machine. CIARP 2010: 484-491 - [c38]Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende:
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC 2010: 205-211
2000 – 2009
- 2009
- [j5]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): 69-79 (2009) - [c37]Jorge Galbiati, Héctor Allende
Dynamic Image Segmentation Method Using Hierarchical Clustering. CIARP 2009: 177-184 - [c36]Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa:
Semi-supervised Robust Alternating AdaBoost. CIARP 2009: 579-586 - [c35]Sergio Campos, Rodrigo Salas
Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. CIARP 2009: 766-773 - [c34]Claudio Moraga, Héctor Allende
Walsh Matrices in the Design of Industrial Experiments. EUROCAST 2009: 548-554 - [c33]Carolina Saavedra
Fusion of Topology Preserving Neural Networks. HAIS 2009: 517-524 - [c32]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: 22-29 - 2008
- [c31]Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas
Self-Organizing Neuro-Fuzzy Inference System. CIARP 2008: 429-436 - [c30]Ricardo Ñanculef, Carlos Concha, Héctor Allende
Multicategory SVMs by Minimizing the Distances among Convex-Hull Prototypes. HIS 2008: 423-428 - 2007
- [j4]Rodrigo Salas
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing 70(16-18): 2744-2757 (2007) - [c29]Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef:
Robust Alternating AdaBoost. CIARP 2007: 427-436 - [c28]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Bagging with Asymmetric Costs for Misclassified and Correctly Classified Examples. CIARP 2007: 694-703 - [c27]Max Chacón, Marcos A. Lévano
Detection of Gene Expressions in Microarrays by Applying Iteratively Elastic Neural Net. ICANNGA (2) 2007: 355-363 - [c26]Héctor Allende, Carlos Becerra, Jorge Galbiati:
A Segmentation Method for Digital Images Based on Cluster Analysis. ICANNGA (2) 2007: 554-563 - [c25]Carlos Valle, Ricardo Ñanculef, Héctor Allende, Claudio Moraga:
Two Bagging Algorithms with Coupled Learners to Encourage Diversity. IDA 2007: 130-139 - [c24]Patricia Trejo, Ricardo Ñanculef, Héctor Allende, Claudio Moraga:
Probabilistic Aggregation of Classifiers for Incremental Learning. IWANN 2007: 135-143 - [c23]Carolina Saavedra, Rodrigo Salas, Sebastián Moreno
Fusion of Self Organizing Maps. IWANN 2007: 227-234 - [c22]Sebastián Moreno
Fusion of Neural Gas. IWINAC (1) 2007: 558-567 - 2006
- [c21]Carolina Saavedra, Sebastián Moreno
Robustness Analysis of the Neural Gas Learning Algorithm. CIARP 2006: 559-568 - [c20]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Ensemble Learning with Local Diversity. ICANN (1) 2006: 264-273 - [c19]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Local Negative Correlation with Resampling. IDEAL 2006: 570-577 - 2005
- [c18]Rodrigo Salas
Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP 2005: 642-653 - [c17]Héctor Allende
Edge Detection in Contaminated Images, Using Cluster Analysis. CIARP 2005: 945-953 - [c16]Ricardo Ñanculef, Carlos Valle
Moderated Innovations in Self-poised Ensemble Learning. CIS (1) 2005: 49-56 - [c15]Ricardo Ñanculef, Carlos Valle, Héctor Allende, Claudio Moraga:
Self-poised Ensemble Learning. IDA 2005: 272-282 - [c14]Sebastián Moreno
Robust Growing Hierarchical Self Organizing Map. IWANN 2005: 341-348 - [c13]Carolina Saavedra
K-Dynamical Self Organizing Maps. MICAI 2005: 702-711 - 2004
- [j3]Héctor Allende
A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognit. Lett. 25(8): 841-847 (2004) - [c12]Héctor Allende, Sebastián Moreno
Robust Self-organizing Maps. CIARP 2004: 179-186 - [c11]Ricardo Ñanculef, Carlos Concha, Claudio Moraga, Héctor Allende
Multiresolution Fuzzy Rule Systems. Fuzzy Days 2004: 65-79 - [c10]Héctor Allende
Modular Neural Network Applied to Non-Stationary Time Series. Fuzzy Days 2004: 585-598 - [c9]Héctor Allende, Ricardo Ñanculef, Rodrigo Salas:
Robust Bootstrapping Neural Networks. MICAI 2004: 813-822 - [c8]Héctor Allende
Robust Neural Gas for the Analysis of Data with Outliers. SCCC 2004: 149-155 - 2003
- [c7]Héctor Allende, Luis Pizarro:
Robust Estimation of Roughness Parameter in SAR Amplitude Images. CIARP 2003: 129-136 - [c6]Héctor Allende, Romina Torres
Robust Learning Algorithm for the Mixture of Experts. IbPRIA 2003: 19-27 - [c5]Héctor Allende, Rodrigo Salas, Claudio Moraga:
A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. IbPRIA 2003: 28-36 - [c4]Romina Torres
Robust Expectation Maximization Learning Algorithm for Mixture of Experts. IWANN (1) 2003: 238-245 - [c3]Rodrigo Salas, Romina Torres
Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. IWANN (2) 2003: 441-448 - 2002
- [j2]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Artificial neural networks in time series forecasting: a comparative analysis. Kybernetika 38(6): 685-707 (2002) - [c2]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. ICANN 2002: 1080-1086 - 2001
- [j1]Héctor Allende
Robust image modeling on image processing. Pattern Recognit. Lett. 22(11): 1219-1231 (2001) - [c1]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Neural Model Identification Using Local Robustness Analysis. Fuzzy Days 2001: 162-173
Coauthor Index
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last updated on 2024-12-08 02:25 CET by the dblp team
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