Héctor Allende-Cid

发表

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning

Héctor Allende, Alejandro Veloz, Gustavo Ulloa, 2020, ICIAR.

Context-Aware Regression from Distributed Sources

Claudio Moraga, Raúl Monge, Héctor Allende, 2013, IDC.

Leveraging Phase Transition of Topics for Event Detection in Social Media

Heitor S. Ramos, Héctor Allende-Cid, Pedro H. Barros, 2020, IEEE Access.

Robust Alternating AdaBoost

Rodrigo Salas, Héctor Allende, Ricardo Ñanculef, 2007, CIARP.

Self-Organizing Neuro-Fuzzy Inference System

Rodrigo Salas, Héctor Allende, Alejandro Veloz, 2008, CIARP.

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features

Héctor Allende, Alejandro Veloz, Héctor Allende-Cid, 2010, 2010 XXIX International Conference of the Chilean Computer Science Society.

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2015, Neural Processing Letters.

An Improved Fuzzy Rule-Based Automated Trading Agent

Enrique Canessa, Héctor Allende, Héctor Allende-Cid, 2011 .

Tackling the Neighboring Network Hit Problem in Cellular Data

Huy T. Vo, Héctor Allende-Cid, Denis Khryashchev, 2019, 2019 IEEE International Conference on Big Data (Big Data).

PROMETHEUS: Procedural Methodology For Developing Heuristics Of Usability

Héctor Allende-Cid, Ismael Figueroa, Cristhy Jiménez Granizo, 2017, IEEE Latin America Transactions.

A Distributed Shared Nearest Neighbors Clustering Algorithm

Marcelo Mendoza, Héctor Allende-Cid, Juan Zamora, 2017, CIARP.

Robust Sieve bootstrap Prediction Intervals for contaminated Time Series

Héctor Allende, Gustavo Ulloa, Héctor Allende-Cid, 2014, Int. J. Pattern Recognit. Artif. Intell..

Convolutional Neural Networks Applied to Multiple Sclerosis Lesion Segmentation on 3D Brain Magnetic Resonance Images

Héctor Allende, Gustavo Ulloa, Héctor Allende-Cid, 2018, ICPR 2018.

Soft Computing Applied to Distributed Regression with Context-Heterogeneity

Raúl Monge, Héctor Allende, Héctor Allende-Cid, 2016, J. Multiple Valued Log. Soft Comput..

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2015, IDC.

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module

Héctor Allende, Héctor Allende-Cid, Juan Pavez, 2018, ACL.

Semi-supervised Robust Alternating AdaBoost

Enrique Canessa, Héctor Allende, Héctor Allende-Cid, 2009, CIARP.

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2016, Int. J. Comput. Intell. Syst..

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach

Héctor Allende, Gustavo Ulloa, Héctor Allende-Cid, 2015, CIARP.

Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis

Rosa L. Figueroa, Héctor Allende-Cid, Carla Taramasco, 2020, IEEE Access.

Distributed Clustering of Text Collections

Juan Zamora, Marcelo Mendoza, Héctor Allende-Cid, 2019, IEEE Access.

Wind Speed Forecast under a Distributed Learning Approach

Claudio Moraga, Raúl Monge, Héctor Allende, 2013, 2013 32nd International Conference of the Chilean Computer Science Society (SCCC).

Comparison of Recurrent Neural Networks for Wind Power Forecasting

Héctor Allende, Héctor Allende-Cid, Erick López, 2020, MCPR.

A Machine Learning Method for High-Frequency Data Forecasting

Héctor Allende, Héctor Allende-Cid, Erick López, 2014, CIARP.

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation

Héctor Allende, Steren Chabert, Gustavo Ulloa, 2018, CIARP.

Robust Asymmetric Adaboost

Héctor Allende, Carlos Valle, Héctor Allende-Cid, 2012, CIARP.

Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression

Claudio Moraga, Raúl Monge, Héctor Allende, 2015, J. Univers. Comput. Sci..

Identifying Communities in Social Media with Deep Learning

Alejandro C. Frery, Heitor S. Ramos, Héctor Allende-Cid, 2018, HCI.

A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse

Héctor Allende-Cid, Juan Zamora, Pedro Alfaro-Faccio, 2019, IEEE Access.

Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models

Claudio Moraga, Raúl Monge, Héctor Allende, 2014, IDC.

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes

Héctor Allende, Gustavo Ulloa, Héctor Allende-Cid, 2013, CIARP.

Distributed Machine Learning with Context-Awareness for the Regression Task

Héctor Allende-Cid, H. Allende-Cid, 2017 .

Developing usability heuristics with PROMETHEUS: A case study in virtual learning environments

Paul Leger, Héctor Allende-Cid, Ismael Figueroa, 2019, Comput. Stand. Interfaces.

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting

Claudio Moraga, Rodrigo Salas, Héctor Allende, 2009, KES.

Automatic Tweets Classification Under an Intelligent Agents Framework

Sebastián Rodríguez, Claudio Cubillos, Héctor Allende-Cid, 2017, HCI.

Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets

Héctor Allende, Héctor Allende-Cid, Diego Acuña, 2016, CIARP.

An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments

Héctor Allende, Ricardo Ñanculef, Héctor Allende-Cid, 2011, CIARP.

The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting

Héctor Allende, Héctor Allende-Cid, Diego Acuña, 2015, CIARP.

Analyzing #LasTesis Feminist Movement in Twitter Using Topic Models

Sebastián Rodríguez, Héctor Allende-Cid, Wenceslao Palma, 2020, HCI.

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

Héctor Allende-Cid, Rodrigo Salas, Eliana Vivas, 2020, Entropy.

Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement

Héctor Allende-Cid, Rodrigo Alfaro, Sebastián Pérez-Vera, 2017, HCI.

Detection of Bots and Cyborgs in Twitter: A Study on the Chilean Presidential Election in 2017

Heitor S. Ramos, Héctor Allende-Cid, Wenceslao Palma, 2019, HCI.

Predicting Brazilian Court Decisions pdf

Héctor Allende-Cid, Orivaldo Santana, André Lage-Freitas, 2019, PeerJ Comput. Sci..

An Improved Fuzzy Rule-Based Automated Trading Agent

Enrique Canessa, Héctor Allende-Cid, Ariel Quezada, 2010, 2010 XXIX International Conference of the Chilean Computer Science Society.

Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries’ Landing Forecasting with Exogenous Variables

Rodrigo Salas, Héctor Allende-Cid, Lelys Bravo de Guenni, 2019, Entropy.

Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases

Rangaraj M. Rangayyan, Alejandro C. Frery, Paulo Mazzoncini de Azevedo Marques, 2017, CIARP.

The Problem of Centralizing Distributed Data Sources in the Regression Task

Claudio Moraga, Raúl Monge, Héctor Allende, 2016, ICPR 2016.

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model

Rodrigo Salas, Héctor Allende, Alejandro Veloz, 2012, 2012 IEEE 42nd International Symposium on Multiple-Valued Logic.

Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017

Sebastián Rodríguez, Héctor Allende-Cid, Wenceslao Palma, 2018, HCI.

Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images

Héctor Allende-Cid, Gabriel Hermosilla Vigneau, Gabriel Villavicencio Arancibia, 2021, IEEE Access.

Thermal Face Generation Using StyleGAN

Héctor Allende-Cid, Gabriel Hermosilla, Diego-Ignacio Henríquez Tapia, 2021, IEEE Access.

A Hierarchical Fuzzy-Based Correction Algorithm for the Neighboring Network Hit Problem

Héctor Allende-Cid, Andres Leiva-Araos, 2021 .