David A. Elizondo

According to our database1, David A. Elizondo authored at least 52 papers between 1995 and 2019.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

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

2017
Light source detection for digital images in noisy scenes: a neural network approach.
Neural Computing and Applications, 2017

Pose invariance through registration for hierarchical feature based pattern recognition systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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.
Comp. Math. Methods in 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 Netw. Learning Syst., 2013

Constructive Recursive Deterministic Perceptron Neural Networks with Genetic Algorithms.
IJPRAI, 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

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 m-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 Processing Letters, 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 ESANN 1997, 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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