David A. Elizondo

Orcid: 0000-0002-7398-5870

According to our database1, David A. Elizondo authored at least 88 papers between 1995 and 2024.

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

Timeline

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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

DESReg: Dynamic Ensemble Selection library for Regression tasks.
Neurocomputing, 2024

Characterising Payload Entropy in Packet Flows.
CoRR, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
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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

Improved Flow Recovery from Packet Data.
CoRR, 2023

Analysis of Transformer Model Applications.
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

Analysis of clustering methods for crop type mapping using satellite imagery.
Neurocomputing, 2022

Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR, 2022

Application of data augmentation techniques towards metabolomics.
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

Fuzzy Logic Applied to System Monitors.
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

Foreground detection by ensembles of random polygonal tilings.
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

Infering Air Quality from Traffic Data Using Transferable Neural Network Models.
Proceedings of the Advances in Computational Intelligence, 2019

Heavy duty vehicle fuel consumption modeling using artificial neural networks.
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

Computational Intelligence Techniques in Medicine.
Comput. Math. Methods Medicine, 2015

A renewed approach to serious games for cyber security.
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
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
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

Adapting traffic simulation for traffic management: A neural network approach.
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

Computational Intelligence for Privacy and Security: Introduction.
Proceedings of the Computational Intelligence for Privacy and Security, 2012

An Introduction to the Use of Neural Networks for Network Intrusion Detection.
Proceedings of the Computational Intelligence for Privacy and Security, 2012

Evolutionary Computation in Computer Security and Forensics: An Overview.
Proceedings of the Computational Intelligence for Privacy and Security, 2012

Application of Fuzzy Logic in Computer Security and Forensics.
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

Linear separability and classification complexity.
Expert Syst. Appl., 2012

A Near Linear Algorithm for Testing Linear Separability in Two Dimensions.
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

GA-based feature selection approach in biometric hand systems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Natural language processing: a prolog perspective.
Artif. Intell. Rev., 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

A robust reinforcement based self constructing neural network.
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

A Constructive Neural Network for Evolving a Machine Controller in Real-Time.
Proceedings of the Constructive Neural Networks, 2009

Analysis and Testing of the <i>m</i>-Class RDP Neural Network.
Proceedings of the Constructive Neural Networks, 2009

Estimation of classification complexity.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks.
Decis. Support Syst., 2008

Evolving a neural network using dyadic connections.
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

Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes.
Proceedings of the Artificial Neural Networks, 2008

On the Generalization of the m-Class RDP Neural Network.
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

A Novel and Efficient Method for Testing Non Linear Separability.
Proceedings of the Artificial Neural Networks, 2007

2006
The linear separability problem: some testing methods.
IEEE Trans. Neural Networks, 2006

The Generalisation of the Recursive Deterministic Perceptron.
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

Current Trends on Knowledge Extraction and Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2002
New methods for testing linear separability.
Neurocomputing, 2002

1998
The recursive deterministic perceptron neural network.
Neural Networks, 1998

Growing Methods for Constructing Recursive Deterministic Perceptron Neural Networks and Knowledge Extraction.
Artif. Intell., 1998

1997
A Survey of Partially Connected Neural Networks.
Int. J. Neural Syst., 1997

Adapting the 2-class recursive deterministic perceptron neural network to m-classes.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

The class of linear separability method.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1995
Non-ontogenic sparse neural networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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