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Héctor Allende
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Publications
- 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) - 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 - 2020
- [c76]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: 182-192 - [c75]Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende:
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR 2020: 25-34 - 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 - [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 - [i2]Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR abs/1805.09354 (2018) - 2016
- [j17]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): 416-432 (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, 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): 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 - 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) - [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 - [c57]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: 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) - [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 - 2012
- [c50]Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende:
Robust Asymmetric Adaboost. CIARP 2012: 519-526 - [c46]Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende:
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL 2012: 226-231 - 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 - 2010
- [c38]Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende:
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC 2010: 205-211 - 2009
- [c36]Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa:
Semi-supervised Robust Alternating AdaBoost. CIARP 2009: 579-586 - [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, Stéren Chabert, Héctor Allende:
Self-Organizing Neuro-Fuzzy Inference System. CIARP 2008: 429-436 - 2007
- [c29]Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef:
Robust Alternating AdaBoost. CIARP 2007: 427-436
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