Héctor Allende-Cid

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 40

Top Topics

Convolutional Neural Networks

Machine Learning

Top Venues

Publications

Jagmohan Meher, Héctor Allende-Cid, Torbjörn E. M. Nordling
A survey and classification of face alignment methods based on face models. CoRR (2023)
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)
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)
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) (2022)
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 (2022)
André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia de Oliveira-Lage
Predicting Brazilian Court Decisions. PeerJ Comput. Sci. 8 (2022)
Gabriel Hermosilla, Diego-Ignacio Henríquez Tapia, Héctor Allende-Cid, Gonzalo Farias Castro, Esteban Vera
Thermal Face Generation Using StyleGAN. IEEE Access 9 (2021)
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 (2021)
Sebastián Rodríguez, Héctor Allende-Cid, Héctor Allende
Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. CIARP (2021)
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)
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 (2020)
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) (2020)
Erick López, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Comparison of Recurrent Neural Networks for Wind Power Forecasting. MCPR (2020)
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 (2020)
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)
André Lage-Freitas, Héctor Allende-Cid, Orivaldo Santana, Lívia de Oliveira-Lage
Predicting Brazilian court decisions. CoRR (2019)
Andrés Leiva-Araos, Héctor Allende-Cid, Denis Khryashchev, Huy T. Vo
Tackling the Neighboring Network Hit Problem in Cellular Data. IEEE BigData (2019)
Juan Zamora, Héctor Allende-Cid, Marcelo Mendoza
Distributed Clustering of Text Collections. IEEE Access 7 (2019)
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)
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) (2019)
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 (2019)
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 (2019)
Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Steren Chabert, Héctor Allende
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. CIARP (2018)
Juan Pavez, Héctor Allende, Héctor Allende-Cid
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. ACL (1) (2018)
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)
Pedro H. Barros, Isadora Cardoso-Pereira, Keila Barbosa, Alejandro C. Frery, Héctor Allende-Cid, Ivan Martins, Heitor S. Ramos
Identifying Communities in Social Media with Deep Learning. HCI (14) (2018)
Cristhy Jiménez, Héctor Allende-Cid, Ismael Figueroa
PROMETHEUS: PROcedural METhodology for developing HEuristics of USability. CoRR (2018)
Juan Pavez, Héctor Allende, Héctor Allende-Cid
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. CoRR (2018)
Sebastián Rodríguez, Rodrigo Alfaro, Héctor Allende-Cid, Claudio Cubillos
Automatic Tweets Classification Under an Intelligent Agents Framework. HCI (13) (2017)
Sebastián Pérez-Vera, Rodrigo Alfaro, Héctor Allende-Cid
Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement. HCI (13) (2017)
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)
Juan Zamora, Héctor Allende-Cid, Marcelo Mendoza
A Distributed Shared Nearest Neighbors Clustering Algorithm. CIARP (2017)
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) (2016)
Héctor Allende-Cid, Diego Acuña, Héctor Allende
Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. CIARP (2016)
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) (2016)
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) (2016)
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) (2015)
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)
Diego Acuña, Héctor Allende-Cid, Héctor Allende
The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. CIARP (2015)
Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. CIARP (2015)
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)
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)
Erick López, Héctor Allende, Héctor Allende-Cid
A Machine Learning Method for High-Frequency Data Forecasting. CIARP (2014)
Héctor Allende-Cid, Héctor Allende, Raúl Monge, Claudio Moraga
Wind Speed Forecast under a Distributed Learning Approach. SCCC (2013)
Héctor Allende-Cid, Claudio Moraga, Héctor Allende, Raúl Monge
Context-Aware Regression from Distributed Sources. IDC (2013)
Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. CIARP (1) (2013)
Pablo Ormeño, Felipe Ramírez, Carlos Valle, Héctor Allende-Cid, Héctor Allende
Robust Asymmetric Adaboost. CIARP (2012)
Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL (2012)
Ricardo Ñanculef, Erick López, Héctor Allende, Héctor Allende-Cid
An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. CIARP (2011)
Héctor Allende-Cid, Enrique Canessa, Ariel Quezada
An Improved Fuzzy Rule-Based Automated Trading Agent. SCCC (2010)
Felipe Ramírez, Héctor Allende-Cid, Alejandro Veloz, Héctor Allende
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. SCCC (2010)
Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa
Semi-supervised Robust Alternating AdaBoost. CIARP (2009)
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)
Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Steren Chabert, Héctor Allende
Self-Organizing Neuro-Fuzzy Inference System. CIARP (2008)
Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef
Robust Alternating AdaBoost. CIARP (2007)