Héctor Allende-cid

Author Info

Name	Affiliation	Papers
HÉCTOR ALLENDE-CID	Universidad Técnica Federico Santa María, Dept. de Informática, Casilla 110-V, Valparaíso Chile	35
Collaborators	Citations	PageRank
61	22	12.60
Referers	Referees	References
60	412	162

Search Limit

100412

Publications (35 rows)

Collaborators (61 rows)

Referers (60 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Predicting Brazilian Court Decisions	0	0.34	2022
Comparison of Recurrent Neural Networks for Wind Power Forecasting.	0	0.34	2020
A Systematic Review Of Statistical And Machine Learning Methods For Electrical Power Forecasting With Reported Mape Score	0	0.34	2020
A Machine Learning Approach For The Automatic Classification Of Schizophrenic Discourse	0	0.34	2019
Predicting Brazilian court decisions.	0	0.34	2019
Distributed Clustering Of Text Collections	0	0.34	2019
Developing Usability Heuristics with PROMETHEUS: A Case Study in Virtual Learning Environments	1	0.37	2019
Tackling the Neighboring Network Hit Problem in Cellular Data.	0	0.34	2019
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries’ Landing Forecasting with Exogenous Variables	0	0.34	2019
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation.	0	0.34	2018
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation.	0	0.34	2018
PROMETHEUS: Procedural Methodology For Developing Heuristics Of Usability	1	0.37	2018
Identifying Communities in Social Media with Deep Learning.	0	0.34	2018
Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017.	0	0.34	2018
Working Memory Networks: Augmenting Memory Networks With A Relational Reasoning Module	4	0.38	2018
Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases.	0	0.34	2017
Automatic Tweets Classification Under an Intelligent Agents Framework.	0	0.34	2017
A Distributed Shared Nearest Neighbors Clustering Algorithm.	0	0.34	2017
Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement.	0	0.34	2017
Soft Computing Applied to Distributed Regression with Context-Heterogeneity.	0	0.34	2016
Sonfis: Structure Identification And Modeling With A Self-Organizing Neuro-Fuzzy Inference System	1	0.34	2016
Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression.	0	0.34	2015
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.	0	0.34	2015
Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models.	0	0.34	2014
A Machine Learning Method For High-Frequency Data Forecasting	0	0.34	2014
Robust Sieve Bootstrap Prediction Intervals For Contaminated Time Series	0	0.34	2014
Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes.	1	0.43	2013
Wind Speed Forecast under a Distributed Learning Approach	0	0.34	2013
Context-Aware Regression from Distributed Sources.	1	0.36	2013
Robust Asymmetric Adaboost.	1	0.35	2012
An ensemble method for incremental classification in stationary and non-stationary environments	0	0.34	2011
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting	3	0.44	2009
Semi-supervised Robust Alternating AdaBoost	0	0.34	2009
Self-Organizing Neuro-Fuzzy Inference System	5	0.59	2008
Robust Alternating AdaBoost	4	0.52	2007