| 2023 | HAIS | Analysis of Transformer Model Applications. | Maria Isabel Cabrera-Bermejo, Mara Jos del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Prez-Godoy |
| 2022 | ICCS | Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. | Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld |
| 2021 | IJCNN | Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. | Sal Caldern Ramrez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel Lpez-Rubio, Miguel A. Molina-Cabello |
| 2021 | IWANN | Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. | Willard Zamora-Crdenas, Mauro Mendez, Sal Caldern Ramrez, Martin Vargas, Gerardo Monge, Steve Quirs, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello |
| 2020 | ICPR | Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. | Sal Caldern Ramrez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaa, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello |
| 2019 | IWANN | Infering Air Quality from Traffic Data Using Transferable Neural Network Models. | Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domnguez, David A. Elizondo, Jolanta Obszynska |
| 2019 | IWANN | Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks. | Oskar Wysocki, Lipika Deka, David A. Elizondo, Jacek Kropiwnicki, Jacek Czyzewicz |
| 2017 | IJCNN | Pose invariance through registration for hierarchical feature based pattern recognition systems. | Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker |
| 2012 | EANN | A Near Linear Algorithm for Testing Linear Separability in Two Dimensions. | Sylvain Contassot-Vivier, David A. Elizondo |
| 2011 | IJCNN | GA-based feature selection approach in biometric hand systems. | Rafael Marcos Luque, David A. Elizondo, Ezequiel Lpez-Rubio, Esteban J. Palomo |
| 2011 | IJCNN | Visualisation of network forensics traffic data with a self-organising map for qualitative features. | Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson |
| 2010 | IJCNN | Application of artificial neural networks and related techniques to intrusion detection. | Christian Bitter, David A. Elizondo, Tim Watson |
| 2010 | IJCNN | A robust reinforcement based self constructing neural network. | Andreas Huemer, Mario Gongora, David A. Elizondo |
| 2010 | IJCNN | Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics. | Bernd Carsten Stahl, David A. Elizondo, Moira Carroll-Mayer, Yingqin Zheng, Kutoma Wakunuma |
| 2009 | IJCNN | Estimation of classification complexity. | David A. Elizondo, Ralph Birkenhead, Matas Gmez, Noelia Garca Rubio, Esteban Alfaro Corts |
| 2008 | ICANN | On the Generalization of the m-Class RDP Neural Network. | David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead |
| 2008 | ICANN | Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. | David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou |
| 2008 | ICANN | A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. | Andreas Huemer, David A. Elizondo, Mario Gongora |
| 2008 | ICINCO | Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. | Andreas Huemer, Mario Gongora, David A. Elizondo |
| 2008 | IJCNN | Evolving a neural network using dyadic connections. | Andreas Huemer, Mario Gongora, David A. Elizondo |
| 2007 | ICANN | A Novel and Efficient Method for Testing Non Linear Separability. | David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead |
| 2006 | IJCNN | The Generalisation of the Recursive Deterministic Perceptron. | David A. Elizondo, Ralph Birkenhead, ric D. Taillard |
| 2005 | ICANN | Current Trends on Knowledge Extraction and Neural Networks. | David A. Elizondo, Mario Gongora |
| 2005 | ICANN | A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. | Mario Gongora, Tim Watson, David A. Elizondo |
| 1997 | ESANN | The class of linear separability method. | Mohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy Korczak |