David A. Elizondo

97 papers B 12C 1Misc 1Journal 50Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A didactic overview of Transformer applications: model variations and user guidelines. Log. J. IGPL Mi Cabrera-Bermejo, M. Germán, David de la Rosa, Mj Del Jesus, Aj Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
2024	J	`jnl`	Characterising Payload Entropy in Packet Flows - Baseline Entropy Analysis for Network Anomaly Detection. Future Internet Anthony Kenyon, Lipika Deka, David A. Elizondo
2024	J	`jnl`	Characterising Payload Entropy in Packet Flows. CoRR Anthony Kenyon, Lipika Deka, David A. Elizondo
2024	J	`jnl`	DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera
2024	—	`conf`	Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data. SOCO (2) Iván García Aguilar, Syed Ali Haider Jafri, David A. Elizondo, Saúl Calderón Ramírez, Sarah Greenfield, Rafael M. Luque-Baena
2024	J	`jnl`	What is the Consumer Attitude toward Healthcare Services? A Transfer Learning Approach for Detecting Emotions from Consumer Feedback. J. Univers. Comput. Sci. Bashar Alshouha, Jesús Serrano-Guerrero, David A. Elizondo, Francisco P. Romero, José Angel Olivas
2023	J	`jnl`	An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
2023	Misc	`conf`	Analysis of Transformer Model Applications. HAIS Maria Isabel Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
2023	J	`jnl`	Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 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, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, Victoria 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, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, José Manuel Ferrández-Vicente
2023	J	`jnl`	Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 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
2023	J	`jnl`	Improved Flow Recovery from Packet Data. CoRR Anthony Kenyon, David A. Elizondo, Lipika Deka
2023	J	`jnl`	XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department. Artif. Intell. Medicine Antonio Jesús Rivera, J. Cobo Muñoz, M. Dolores Pérez-Godoy, B. Sáenz de San Pedro, Francisco Charte, David A. Elizondo, C. Rodríguez, M. L. Abolafia, A. Perea, María José del Jesus
2023	J	`jnl`	mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2023	J	`jnl`	mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2022	J	`jnl`	A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello
2022	J	`jnl`	Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
2022	J	`jnl`	Application of data augmentation techniques towards metabolomics. Comput. Biol. Medicine Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
2022	—	`conf`	Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. ICCS (3) Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
2022	J	`jnl`	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. Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2022	J	`jnl`	Selecting Non-Line of Sight Critical Scenarios for Connected Autonomous Vehicle Testing. Softw. Tanvir Allidina, Lipika Deka, Daniel Paluszczyszyn, David A. Elizondo
2022	J	`jnl`	Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2022	J	`jnl`	Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2021	J	`jnl`	A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello
2021	J	`jnl`	A permutation entropy-based EMD-ANN forecasting ensemble approach for wind speed prediction. Neural Comput. Appl. Juan Jesús Ruiz-Aguilar, Ignacio Turias, Javier González-Enrique, Daniel Urda, David A. Elizondo
2021	J	`jnl`	Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
2021	J	`jnl`	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 Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2021	—	`conf`	Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
2021	J	`jnl`	Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Miguel A. Molina-Cabello
2021	J	`jnl`	Fuzzy Logic Applied to System Monitors. IEEE Access Noel Khan, David A. Elizondo, Lipika Deka, Miguel A. Molina-Cabello
2021	J	`jnl`	Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 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
2021	B	`conf`	Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello
2021	J	`jnl`	Skin Lesion Classification by Ensembles of Deep Convolutional Networks and Regularly Spaced Shifting. IEEE Access Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, David A. Elizondo
2020	—	`conf`	A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops. SOCO Antonio Jesús Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
2020	J	`jnl`	Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs. IEEE Access Miguel A. Molina-Cabello, David A. Elizondo, Rafael Marcos Luque Baena, Ezequiel López-Rubio
2020	J	`jnl`	Are public intrusion datasets fit for purpose characterising the state of the art in intrusion event datasets. Comput. Secur. Anthony Kenyon, Lipika Deka, David A. Elizondo
2020	J	`jnl`	Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
2020	B	`conf`	Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
2020	J	`jnl`	E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing Ángel Miguel García-Vico, Francisco Charte, Pedro González, David A. Elizondo, Cristóbal José Carmona
2020	J	`jnl`	Foreground detection by ensembles of random polygonal tilings. Expert Syst. Appl. Miguel A. Molina-Cabello, David A. Elizondo, Rafael M. Luque-Baena, Ezequiel López-Rubio
2019	—	`conf`	Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks. IWANN (1) Oskar Wysocki, Lipika Deka, David A. Elizondo, Jacek Kropiwnicki, Jacek Czyzewicz
2019	—	`conf`	Heavy duty vehicle fuel consumption modeling using artificial neural networks. ICAC Oskar Wysocki, Lipika Deka, David A. Elizondo
2019	—	`conf`	Infering Air Quality from Traffic Data Using Transferable Neural Network Models. IWANN (1) Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domínguez, David A. Elizondo, Jolanta Obszynska
2017	J	`jnl`	Light source detection for digital images in noisy scenes: a neural network approach. Neural Comput. Appl. David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
2017	B	`conf`	Pose invariance through registration for hierarchical feature based pattern recognition systems. IJCNN Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker
2016	—	`conf`	Support Vector Regression for Electricity Consumption Prediction in a Building in Japan. CSE/EUC/DCABES Frédéric Magoulès, Michel Piliougine, David A. Elizondo
2015	J	`jnl`	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. Cristóbal J. Carmona, Victor Ruiz-Rodado, María José del Jesus, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo
2015	—	`conf`	A renewed approach to serious games for cyber security. CyCon Alexis Le Compte, David A. Elizondo, Tim Watson
2015	J	`jnl`	Computational Intelligence Techniques in Medicine. Comput. Math. Methods Medicine Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
2014	—	`conf`	Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses. UKCI Pamela A. Hardaker, Benjamin N. Passow, David A. Elizondo
2013	—	`conf`	Adapting traffic simulation for traffic management: A neural network approach. ITSC Benjamin N. Passow, David A. Elizondo, Francisco Chiclana, Simon Witheridge, Eric Goodyer
2013	J	`jnl`	Assessment of geometric features for individual identification and verification in biometric hand systems. Expert Syst. Appl. Rafael M. Luque-Baena, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo, Tim Watson
2013	J	`jnl`	Constructive Recursive Deterministic Perceptron Neural Networks with Genetic Algorithms. Int. J. Pattern Recognit. Artif. Intell. David A. Elizondo, Robert Morris, Tim Watson, Benjamin N. Passow
2013	J	`jnl`	Editorial A Successful Change From TNN to TNNLS and a Very Successful Year. IEEE Trans. Neural Networks Learn. Syst. 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
2013	—	`conf`	State detection from electromyographic signals towards the control of prosthetic limbs. UKCI Pamela A. Hardaker, Benjamin N. Passow, David A. Elizondo
2012	C	`conf`	A Near Linear Algorithm for Testing Linear Separability in Two Dimensions. EANN Sylvain Contassot-Vivier, David A. Elizondo
2012	—	`ch.`	An Introduction to the Use of Neural Networks for Network Intrusion Detection. Computational Intelligence for Privacy and Security Christian Bitter, John North, David A. Elizondo, Tim Watson
2012	—	`ch.`	Application of Fuzzy Logic in Computer Security and Forensics. Computational Intelligence for Privacy and Security Sulaiman Al Amro, Francisco Chiclana, David A. Elizondo
2012	J	`jnl`	Application of growing hierarchical SOM for visualisation of network forensics traffic data. Neural Networks Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
2012	—	`book`	Computational Intelligence for Privacy and Security David A. Elizondo, Agusti Solanas, Antoni Martínez-Ballesté
2012	—	`ch.`	Computational Intelligence for Privacy and Security: Introduction. Computational Intelligence for Privacy and Security David A. Elizondo, Agusti Solanas, Antoni Martínez-Ballesté
2012	—	`ch.`	Evolutionary Computation in Computer Security and Forensics: An Overview. Computational Intelligence for Privacy and Security Sulaiman Al Amro, David A. Elizondo, Agusti Solanas, Antoni Martínez-Ballesté
2012	—	`ch.`	Feature Selection of Hand Biometrical Traits Based on Computational Intelligence Techniques. Computational Intelligence for Privacy and Security Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2012	—	`ch.`	Intelligence Techniques in Computer Security and Forensics: At the Boundaries of Ethics and Law. Computational Intelligence for Privacy and Security Bernd Carsten Stahl, Moira Carroll-Mayer, David A. Elizondo, Kutoma Wakunuma, Yingqin Zheng
2012	J	`jnl`	Linear separability and classification complexity. Expert Syst. Appl. David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
2012	—	`ch.`	SOM-Based Techniques towards Hierarchical Visualisation of Network Forensics Traffic Data. Computational Intelligence for Privacy and Security Esteban J. Palomo, David A. Elizondo, Enrique Domínguez, Rafael Marcos Luque, Tim Watson
2011	J	`jnl`	Choice effect of linear separability testing methods on constructive neural network algorithms: An empirical study. Expert Syst. Appl. David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2011	B	`conf`	GA-based feature selection approach in biometric hand systems. IJCNN Rafael Marcos Luque, David A. Elizondo, Ezequiel López-Rubio, Esteban J. Palomo
2011	B	`conf`	Visualisation of network forensics traffic data with a self-organising map for qualitative features. IJCNN Esteban J. Palomo, John North, David A. Elizondo, Rafael Marcos Luque, Tim Watson
2010	B	`conf`	A robust reinforcement based self constructing neural network. IJCNN Andreas Huemer, Mario Gongora, David A. Elizondo
2010	B	`conf`	Application of artificial neural networks and related techniques to intrusion detection. IJCNN Christian Bitter, David A. Elizondo, Tim Watson
2010	B	`conf`	Ethical and legal issues of the use of computational intelligence techniques in computer security and computer forensics. IJCNN Bernd Carsten Stahl, David A. Elizondo, Moira Carroll-Mayer, Yingqin Zheng, Kutoma Wakunuma
2010	J	`jnl`	Natural language processing: a prolog perspective. Artif. Intell. Rev. Christian Bitter, David A. Elizondo, Yingjie Yang
2009	—	`ch.`	A Constructive Neural Network for Evolving a Machine Controller in Real-Time. Constructive Neural Networks Andreas Huemer, David A. Elizondo, Mario Gongora
2009	—	`ch.`	Analysis and Testing of the Constructive Neural Networks David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2009	—	`ch.`	Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez
2009	—	`book`	Constructive Neural Networks Constructive Neural Networks Leonardo Franco, David A. Elizondo, José M. Jerez
2009	B	`conf`	Estimation of classification complexity. IJCNN David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés
2008	—	`conf`	A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. ICANN (2) Andreas Huemer, David A. Elizondo, Mario Gongora
2008	J	`jnl`	Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks. Decis. Support Syst. Esteban Alfaro Cortés, Noelia García Rubio, Matías Gámez, David A. Elizondo
2008	B	`conf`	Evolving a neural network using dyadic connections. IJCNN Andreas Huemer, Mario Gongora, David A. Elizondo
2008	—	`conf`	On the Generalization of the m-Class RDP Neural Network. ICANN (2) David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2008	—	`conf`	Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. ICINCO-ICSO Andreas Huemer, Mario Gongora, David A. Elizondo
2008	—	`conf`	Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. ICANN (1) David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
2007	—	`conf`	A Novel and Efficient Method for Testing Non Linear Separability. ICANN (1) David A. Elizondo, Juan Miguel Ortiz-de-Lazcano-Lobato, Ralph Birkenhead
2007	J	`jnl`	Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks David A. Elizondo, Ralph Birkenhead, Mario Gongora, Éric D. Taillard, Patrick Luyima
2007	J	`jnl`	Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach. Neural Process. Lett. Marcos Faúndez-Zanuy, David A. Elizondo, Miguel Angel Ferrer-Ballester, Carlos Manuel Travieso-González
2006	B	`conf`	The Generalisation of the Recursive Deterministic Perceptron. IJCNN David A. Elizondo, Ralph Birkenhead, Éric D. Taillard
2006	J	`jnl`	The linear separability problem: some testing methods. IEEE Trans. Neural Networks David A. Elizondo
2005	—	`conf`	A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. ICANN (2) Mario Gongora, Tim Watson, David A. Elizondo
2005	—	`conf`	Current Trends on Knowledge Extraction and Neural Networks. ICANN (2) David A. Elizondo, Mario Gongora
2002	J	`jnl`	New methods for testing linear separability. Neurocomputing Mohamed Tajine, David A. Elizondo
1998	J	`jnl`	Growing Methods for Constructing Recursive Deterministic Perceptron Neural Networks and Knowledge Extraction. Artif. Intell. Mohamed Tajine, David A. Elizondo
1998	J	`jnl`	The recursive deterministic perceptron neural network. Neural Networks Mohamed Tajine, David A. Elizondo
1997	J	`jnl`	A Survey of Partially Connected Neural Networks. Int. J. Neural Syst. David A. Elizondo, Emile Fiesler
1997	—	`conf`	Adapting the 2-class recursive deterministic perceptron neural network to m-classes. ICNN Mohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy Korczak
1997	B	`conf`	The class of linear separability method. ESANN Mohamed Tajine, David A. Elizondo, Emile Fiesler, Jerzy Korczak
1995	—	`conf`	Non-ontogenic sparse neural networks. ICNN David A. Elizondo, Emile Fiesler, Jerzy Korczak