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ORCIDHéctor Allende-Cid
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- affiliation: Pontifical Catholic University of Valparaíso, Chile
- not to be confused with: Héctor Allende
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Journal Articles
- 2023
[j18]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
- [j17]Marvin Querales
, Rodrigo Salas, Yerel Morales, Héctor Allende-Cid, Harvey Rosas:
A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. Appl. Soft Comput. 118: 108535 (2022) - [j16]Ignacio Araya, Victor Beas, Katrina Stamulis, Héctor Allende-Cid:
Predicting student performance in computing courses based on programming behavior. Comput. Appl. Eng. Educ. 30(4): 1264-1276 (2022) - [j15]André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia de Oliveira-Lage:
Predicting Brazilian Court Decisions. PeerJ Comput. Sci. 8: e904 (2022) - 2021
- [j14]Gabriel Villavicencio Arancibia, Osvaldo Piña Bustamante, Gabriel Hermosilla Vigneau, Héctor Allende-Cid, Gonzalo Suazo Fuentelaba, Victor Araya Nieto:
Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images. IEEE Access 9: 16988-16998 (2021) - [j13]Gabriel Hermosilla, Diego-Ignacio Henríquez Tapia, Héctor Allende-Cid, Gonzalo Farias Castro, Esteban Vera:
Thermal Face Generation Using StyleGAN. IEEE Access 9: 80511-80523 (2021) - 2020
- [j12]Pedro H. Barros, Isadora Cardoso-Pereira, Héctor Allende-Cid, Osvaldo Anibal Rosso, Heitor S. Ramos:
Leveraging Phase Transition of Topics for Event Detection in Social Media. IEEE Access 8: 70505-70518 (2020) - [j11]Andrés Alejandro Ramos Magna, Héctor Allende-Cid, Carla Taramasco, Carlos Becerra, Rosa L. Figueroa:
Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis. IEEE Access 8: 106198-106213 (2020) - [j10]Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas:
A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score. Entropy 22(12): 1412 (2020) - 2019
- [j9]Héctor Allende-Cid, Juan Zamora, Pedro Alfaro-Faccio, María Francisca Alonso-Sánchez:
A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse. IEEE Access 7: 45544-45553 (2019) - [j8]Juan Zamora, Héctor Allende-Cid, Marcelo Mendoza:
Distributed Clustering of Text Collections. IEEE Access 7: 155671-155685 (2019) - [j7]Ismael Figueroa, Cristhy Jiménez, Héctor Allende-Cid, Paul Leger:
Developing usability heuristics with PROMETHEUS: A case study in virtual learning environments. Comput. Stand. Interfaces 65: 132-142 (2019) - [j6]Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas, Lelys Bravo de Guenni:
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables. Entropy 21(11): 1082 (2019) - 2016
- [j5]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) - [j4]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) - [j3]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) - 2015
- [j2]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) - 2014
- [j1]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)
Conference and Workshop Papers
- 2022
- [c33]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
- [c32]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
- [c31]Sebastián Rodríguez, Héctor Allende-Cid, Cristian González, Rodrigo Alfaro, Claudio Elortegui, Wenceslao Palma, Pedro Santander:
Analyzing #LasTesis Feminist Movement in Twitter Using Topic Models. HCI (14) 2020: 624-635 - [c30]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 - [c29]Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende:
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR 2020: 25-34 - 2019
- [c28]Andrés Leiva-Araos, Héctor Allende-Cid, Denis Khryashchev, Huy T. Vo:
Tackling the Neighboring Network Hit Problem in Cellular Data. IEEE BigData 2019: 2344-2353 - [c27]Samara Castillo, Héctor Allende-Cid, Wenceslao Palma, Rodrigo Alfaro, Heitor S. Ramos, Cristian González, Claudio Elortegui, Pedro Santander:
Detection of Bots and Cyborgs in Twitter: A Study on the Chilean Presidential Election in 2017. HCI (13) 2019: 311-323 - 2018
- [c26]Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. ACL (1) 2018: 1000-1009 - [c25]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 - [c24]Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan C. Martins, Heitor S. Ramos:
Identifying Communities in Social Media with Deep Learning. HCI (14) 2018: 171-182 - [c23]Sebastián Rodríguez, Héctor Allende-Cid, Wenceslao Palma, Rodrigo Alfaro, Cristian González, Claudio Elortegui, Pedro Santander:
Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017. HCI (14) 2018: 298-314 - 2017
- [c22]Isadora Cardoso, Eliana S. Almeida, Héctor Allende-Cid, Alejandro C. Frery, Rangaraj M. Rangayyan, Paulo M. Azevedo-Marques, Heitor S. Ramos:
Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. CIARP 2017: 152-159 - [c21]Juan Zamora, Héctor Allende-Cid, Marcelo Mendoza:
A Distributed Shared Nearest Neighbors Clustering Algorithm. CIARP 2017: 710-718 - [c20]Sebastián Pérez-Vera, Rodrigo Alfaro, Héctor Allende-Cid:
Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement. HCI (13) 2017: 258-274 - [c19]Sebastián Rodríguez, Rodrigo Alfaro, Héctor Allende-Cid, Claudio Cubillos:
Automatic Tweets Classification Under an Intelligent Agents Framework. HCI (13) 2017: 295-311 - 2016
- [c18]Héctor Allende-Cid, Diego Acuña, Héctor Allende:
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP 2016: 318-325 - 2015
- [c17]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP 2015: 408-415 - [c16]Diego Acuña, Héctor Allende-Cid, Héctor Allende:
The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. CIARP 2015: 527-534 - [c15]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
- [c14]Erick López, Héctor Allende, Héctor Allende-Cid:
A Machine Learning Method for High-Frequency Data Forecasting. CIARP 2014: 621-628 - [c13]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
- [c12]Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende:
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) 2013: 84-91 - [c11]Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge:
Context-Aware Regression from Distributed Sources. IDC 2013: 17-22 - [c10]Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga:
Wind Speed Forecast under a Distributed Learning Approach. SCCC 2013: 44-48 - 2012
- [c9]Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende:
Robust Asymmetric Adaboost. CIARP 2012: 519-526 - [c8]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
- [c7]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
- [c6]Héctor Allende-Cid, Enrique Canessa, Ariel Quezada:
An Improved Fuzzy Rule-Based Automated Trading Agent. SCCC 2010: 146-151 - [c5]Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende:
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC 2010: 205-211 - 2009
- [c4]Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa:
Semi-supervised Robust Alternating AdaBoost. CIARP 2009: 579-586 - [c3]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
- [c2]Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende:
Self-Organizing Neuro-Fuzzy Inference System. CIARP 2008: 429-436 - 2007
- [c1]Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef:
Robust Alternating AdaBoost. CIARP 2007: 427-436
Informal and Other Publications
- 2023
- [i4]Jagmohan Meher, Héctor Allende-Cid, Torbjörn E. M. Nordling:
A survey and classification of face alignment methods based on face models. CoRR abs/2311.03082 (2023) - 2019
- [i3]André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia de Oliveira-Lage:
Predicting Brazilian court decisions. CoRR abs/1905.10348 (2019) - 2018
- [i2]Cristhy Jiménez, Héctor Allende-Cid, Ismael Figueroa:
PROMETHEUS: PROcedural METhodology for developing HEuristics of USability. CoRR abs/1802.10121 (2018) - [i1]Juan Pavez, Héctor Allende, Héctor Allende-Cid:
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR abs/1805.09354 (2018)
Coauthor Index
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