Héctor Allende-Cid
Orcid: 0000-0003-3047-8817Affiliations:
- Pontifical Catholic University of Valparaíso, Chile
According to our database1,
Héctor Allende-Cid
authored at least 54 papers
between 2007 and 2024.
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Bibliography
2024
Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews.
Int. J. Medical Informatics, 2024
2023
Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation.
Computación y Sistemas (CyS), 2023
CoRR, 2023
2022
Comput. Appl. Eng. Educ., 2022
A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations.
Appl. Soft Comput., 2022
Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022
2021
Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images.
IEEE Access, 2021
Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021
2020
A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score.
Entropy, 2020
Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 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
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
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
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
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
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
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 Process. Lett., 2016
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. Univers. Comput. Sci., 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
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
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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
Proceedings of the 32nd International Conference of the Chilean Computer Science Society, 2013
Proceedings of the Intelligent Distributed Computing VII, 2013
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
Proceedings of the 42nd IEEE International Symposium on Multiple-Valued Logic, 2012
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
Proceedings of the SCCC 2010, 2010
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
Proceedings of the Progress in Pattern Recognition, 2009
2008
Proceedings of the Progress in Pattern Recognition, 2008
2007
Proceedings of the Progress in Pattern Recognition, 2007