David A. Elizondo
Orcid: 0000-0002-7398-5870
According to our database1,
David A. Elizondo
authored at least 86 papers
between 1995 and 2024.
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Bibliography
2024
What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback.
J. Univers. Comput. Sci., January, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms.
Neurocomputing, November, 2023
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., October, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artif. Intell. Medicine, March, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
2022
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey.
IEEE Trans. Artif. Intell., 2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput., 2022
Neurocomputing, 2022
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR, 2022
Comput. Biol. Medicine, 2022
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities.
Appl. Soft Comput., 2022
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease.
Proceedings of the Computational Science - ICCS 2022, 2022
2021
A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction.
Neural Comput. Appl., 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
CoRR, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput., 2021
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting.
IEEE Access, 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
Proceedings of the Advances in Computational Intelligence, 2021
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Neurocomputing, 2020
Expert Syst. Appl., 2020
Are public intrusion datasets fit for purpose characterising the state of the art in intrusion event datasets.
Comput. Secur., 2020
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs.
IEEE Access, 2020
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the 25th International Conference on Automation and Computing, 2019
2017
Light source detection for digital images in noisy scenes: a neural network approach.
Neural Comput. Appl., 2017
Pose invariance through registration for hierarchical feature based pattern recognition systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Support Vector Regression for Electricity Consumption Prediction in a Building in Japan.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016
2015
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans.
Inf. Sci., 2015
Comput. Math. Methods Medicine, 2015
Proceedings of the 7th International Conference on Cyber Conflict: Architectures in Cyberspace, 2015
2014
Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Constructive Recursive Deterministic Perceptron Neural Networks with Genetic Algorithms.
Int. J. Pattern Recognit. Artif. Intell., 2013
Assessment of geometric features for individual identification and verification in biometric hand systems.
Expert Syst. Appl., 2013
State detection from electromyographic signals towards the control of prosthetic limbs.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
2012
Intelligence Techniques in Computer Security and Forensics: At the Boundaries of Ethics and Law.
Proceedings of the Computational Intelligence for Privacy and Security, 2012
SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data.
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques.
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Proceedings of the Computational Intelligence for Privacy and Security, 2012
Application of growing hierarchical SOM for visualisation of network forensics traffic data.
Neural Networks, 2012
Proceedings of the Engineering Applications of Neural Networks, 2012
2011
Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study.
Expert Syst. Appl., 2011
Visualisation of network forensics traffic data with a self-organising map for qualitative features.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Application of artificial neural networks and related techniques to intrusion detection.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
Proceedings of the Constructive Neural Networks, 2009
Proceedings of the Constructive Neural Networks, 2009
Proceedings of the Constructive Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Decis. Support Syst., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback.
Proceedings of the ICINCO 2008, 2008
A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers.
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach.
Neural Process. Lett., 2007
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks.
Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
IEEE Trans. Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2002
1998
Growing Methods for Constructing Recursive Deterministic Perceptron Neural Networks and Knowledge Extraction.
Artif. Intell., 1998
1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995