Héctor Allende-Cid

According to our database1, Héctor Allende-Cid authored at least 40 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Leveraging Phase Transition of Topics for Event Detection in Social Media.
IEEE Access, 2020

2019
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables.
Entropy, 2019

Developing usability heuristics with PROMETHEUS: A case study in virtual learning environments.
Comput. Stand. Interfaces, 2019

Predicting Brazilian court decisions.
CoRR, 2019

Distributed Clustering of Text Collections.
IEEE Access, 2019

A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse.
IEEE Access, 2019

Detection of Bots and Cyborgs in Twitter: A Study on the Chilean Presidential Election in 2017.
Proceedings of the Social Computing and Social Media. Design, Human Behavior and Analytics, 2019

Tackling the Neighboring Network Hit Problem in Cellular Data.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

2018
PROMETHEUS: PROcedural METhodology for developing HEuristics of USability.
CoRR, 2018

Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

Identifying Communities in Social Media with Deep Learning.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Automatic Tweets Classification Under an Intelligent Agents Framework.
Proceedings of the Social Computing and Social Media. Applications and Analytics, 2017

Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement.
Proceedings of the Social Computing and Social Media. Applications and Analytics, 2017

A Distributed Shared Nearest Neighbors Clustering Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model.
Neural Processing Letters, 2016

Soft Computing Applied to Distributed Regression with Context-Heterogeneity.
J. Multiple Valued Log. Soft Comput., 2016

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System.
Int. J. Comput. Intell. Syst., 2016

Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression.
J. UCS, 2015

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.
Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Robust Sieve bootstrap Prediction Intervals for contaminated Time Series.
Int. J. Pattern Recognit. Artif. Intell., 2014

Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models.
Proceedings of the Intelligent Distributed Computing VIII, 2014

A Machine Learning Method for High-Frequency Data Forecasting.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Wind Speed Forecast under a Distributed Learning Approach.
Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013

Context-Aware Regression from Distributed Sources.
Proceedings of the Intelligent Distributed Computing VII, 2013

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model.
Proceedings of the 42nd IEEE International Symposium on Multiple-Valued Logic, 2012

Robust Asymmetric Adaboost.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features.
Proceedings of the SCCC 2010, 2010

An Improved Fuzzy Rule-Based Automated Trading Agent.
Proceedings of the SCCC 2010, 2010

2009
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Semi-supervised Robust Alternating AdaBoost.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Self-Organizing Neuro-Fuzzy Inference System.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Robust Alternating AdaBoost.
Proceedings of the Progress in Pattern Recognition, 2007


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