David A. Elizondo

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 37

Top Topics

Fuel Consumption

Fluorescence Microscopy Images

Top Venues

Neural Comput. Appl.

Publications

María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera
DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing 580 (2024)
Bashar Alshouha, Jesús Serrano-Guerrero, David A. Elizondo, Francisco P. Romero, José Angel Olivas
What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback. J. Univers. Comput. Sci. 30 (1) (2024)
Anthony Kenyon, Lipika Deka, David A. Elizondo
Characterising Payload Entropy in Packet Flows. CoRR (2024)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing 559 (2023)
M. I. Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
Analysis of Transformer Model Applications. HAIS (2023)
Anthony Kenyon, David A. Elizondo, Lipika Deka
Improved Flow Recovery from Packet Data. CoRR (2023)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR (2023)
Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. 35 (30) (2023)
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4 (2) (2023)
Antonio Jesús Rivera, J. Cobo Muñoz, M. D. Pérez-Goody, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine 137 (2023)
J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, J. J. Martinez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, A. Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, W. Wang, Y. D. Zhang, H. Zhu, Z. Zhu, J. M. Ferrández-Vicente
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100 (2023)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. 3 (6) (2022)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
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. 123 (2022)
Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492 (2022)
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. ICCS (3) (2022)
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
Application of data augmentation techniques towards metabolomics. Comput. Biol. Medicine 148 (2022)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR (2022)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60 (4) (2022)
Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quiros, David A. Elizondo, Miguel A. Molina-Cabello
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR (2021)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111 (2021)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR (2021)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR (2021)
Noel Khan, David A. Elizondo, Lipika Deka, Miguel A. Molina-Cabello
Fuzzy Logic Applied to System Monitors. IEEE Access 9 (2021)
Juan Jesús Ruiz-Aguilar, Ignacio Turias, Javier González-Enrique, Daniel Urda, David A. Elizondo
A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. Neural Comput. Appl. 33 (7) (2021)
Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access 9 (2021)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9 (2021)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverd, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN (2021)
Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quiros, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) (2021)
Ángel Miguel García-Vico, Francisco Charte, Pedro González, David A. Elizondo, Cristóbal José Carmona
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing 415 (2020)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR (2020)
Miguel A. Molina-Cabello, David A. Elizondo, Rafael Marcos Luque Baena, Ezequiel López-Rubio
Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs. IEEE Access 8 (2020)
Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR (2020)
Miguel A. Molina-Cabello, David A. Elizondo, Rafael M. Luque-Baena, Ezequiel López-Rubio
Foreground detection by ensembles of random polygonal tilings. Expert Syst. Appl. 161 (2020)
Oskar Wysocki, Lipika Deka, David A. Elizondo, Jacek Kropiwnicki, Jacek Czyzewicz
Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks. IWANN (1) (2019)
Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domínguez, David A. Elizondo, Jolanta Obszynska
Infering Air Quality from Traffic Data Using Transferable Neural Network Models. IWANN (1) (2019)
Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker
Pose invariance through registration for hierarchical feature based pattern recognition systems. IJCNN (2017)
David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
Light source detection for digital images in noisy scenes: a neural network approach. Neural Comput. Appl. 28 (5) (2017)
Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo
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. 298 (2015)
Alexis Le Compte, David A. Elizondo, Tim Watson
A renewed approach to serious games for cyber security. CyCon (2015)
Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
Computational Intelligence Techniques in Medicine. Comput. Math. Methods Medicine 2015 (2015)
Pamela A. Hardaker, Benjamin N. Passow, David A. Elizondo
Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses. UKCI (2014)
Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 24 (1) (2013)
David A. Elizondo, Robert Morris, Tim Watson, Benjamin N. Passow
Constructive Recursive Deterministic Perceptron Neural Networks with Genetic Algorithms. Int. J. Pattern Recognit. Artif. Intell. 27 (6) (2013)
Benjamin N. Passow, David A. Elizondo, Francisco Chiclana, Simon Witheridge, Eric Goodyer
Adapting traffic simulation for traffic management: A neural network approach. ITSC (2013)
Pamela A. Hardaker, Benjamin N. Passow, David A. Elizondo
State detection from electromyographic signals towards the control of prosthetic limbs. UKCI (2013)
Rafael M. Luque-Baena, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo, Tim Watson
Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Syst. Appl. 40 (9) (2013)
David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
Linear separability and classification complexity. Expert Syst. Appl. 39 (9) (2012)
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
Application of growing hierarchical SOM for visualisation of network forensics traffic data. Neural Networks 32 (2012)
Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
GA-based feature selection approach in biometric hand systems. IJCNN (2011)
Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
Visualisation of network forensics traffic data with a self-organising map for qualitative features. IJCNN (2011)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study. Expert Syst. Appl. 38 (3) (2011)
Christian Bitter, David A. Elizondo, Yingjie Yang
Natural language processing: a prolog perspective. Artif. Intell. Rev. 33 (1-2) (2010)
Bernd Carsten Stahl, David A. Elizondo, Moira Carroll-Mayer, Yingqin Zheng, Kutoma Wakunuma
Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics. IJCNN (2010)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
A robust reinforcement based self constructing neural network. IJCNN (2010)
Christian Bitter, David A. Elizondo, Tim Watson
Application of artificial neural networks and related techniques to intrusion detection. IJCNN (2010)
David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
Estimation of classification complexity. IJCNN (2009)
Andreas Huemer, David A. Elizondo, Mario A. Góngora
A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. ICANN (2) (2008)
Esteban Alfaro Cortés, Noelia García Rubio, Matías Gámez, David A. Elizondo
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks. Decis. Support Syst. 45 (1) (2008)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
Evolving a neural network using dyadic connections. IJCNN (2008)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. ICINCO-ICSO (2008)
David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. ICANN (1) (2008)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
On the Generalization of the m-Class RDP Neural Network. ICANN (2) (2008)
David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
A Novel and Efficient Method for Testing Non Linear Separability. ICANN (1) (2007)
David A. Elizondo, Ralph Birkenhead, Mario A. Góngora, Éric D. Taillard, Patrick Luyima
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks 20 (10) (2007)
Marcos Faúndez-Zanuy, David A. Elizondo, Miguel Angel Ferrer-Ballester, Carlos Manuel Travieso-González
Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach. Neural Process. Lett. 26 (3) (2007)
David A. Elizondo
The linear separability problem: some testing methods. IEEE Trans. Neural Networks 17 (2) (2006)
David A. Elizondo, Ralph Birkenhead, Éric D. Taillard
The Generalisation of the Recursive Deterministic Perceptron. IJCNN (2006)
Mario A. Góngora, Tim Watson, David A. Elizondo
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. ICANN (2) (2005)
David A. Elizondo, Mario A. Góngora
Current Trends on Knowledge Extraction and Neural Networks. ICANN (2) (2005)
Mohamed Tajine, David A. Elizondo
New methods for testing linear separability. Neurocomputing 47 (1-4) (2002)
Mohamed Tajine, David A. Elizondo
The recursive deterministic perceptron neural network. Neural Networks 11 (9) (1998)
Mohamed Tajine, David A. Elizondo
Growing Methods for Constructing Recursive Deterministic Perceptron Neural Networks and Knowledge Extraction. Artif. Intell. 102 (2) (1998)
Mohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy J. Korczak
The class of linear separability method. ESANN (1997)
Mohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy J. Korczak
Adapting the 2-class recursive deterministic perceptron neural network to m-classes. ICNN (1997)
David A. Elizondo, Emile Fiesler
A Survey of Partially Connected Neural Networks. Int. J. Neural Syst. 8 (5-6) (1997)
David A. Elizondo, Emile Fiesler, Jerzy J. Korczak
Non-ontogenic sparse neural networks. ICNN (1995)