Towards a Model of Volume Transmission in Biological and Artificial Neural Networks: A CAST Approach. - Carmen Paz Suárez Araujo; Pablo Fernández López; Patricio García Báez (EUROCAST, 2001)

Extension of HUMANN for Dealing with Noise and with Classes of Different Shape and Size: A Parametric Study. - Patricio García Báez; Carmen Paz Suárez Araujo; Pablo Fernández López (IWANN (2), 2001)

Diffusion Associative Network: Diffusive Hybrid Neuromodulation and Volume Learning. - Pablo Fernández López; Carmen Paz Suárez Araujo; Patricio García Báez; G. Sanchez Martin (IWANN (1), 2003)

Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law. - Carmen Paz Suárez Araujo; Pablo Fernández López; Patricio García Báez; José Regidor García (ICANN (1), 2005)

Automatic Prognostic Determination and Evolution of Cognitive Decline Using Artificial Neural Networks. - Patricio García Báez; Carmen Paz Suárez Araujo; Carlos Fernández Viadero; José Regidor García (IDEAL, 2007)

An Ensemble Approach for the Diagnosis of Cognitive Decline with Missing Data. - Patricio García Báez; Carlos Fernández Viadero; José Regidor García; Carmen Paz Suárez Araujo (HAIS, 2008)

A Computational Study of the Diffuse Neighbourhoods in Biological and Artificial Neural Networks. - Pablo Fernández López; Carmen Paz Suárez Araujo; Patricio García Báez (IJCCI, 2009)

Artificial Intelligent Systems Based on Supervised HUMANN for Differential Diagnosis of Cognitive Impairment: Towards a 4P-HCDS. - Patricio García Báez; Miguel Ángel Pérez del Pino; Carlos Fernández Viadero; Carmen Paz Suárez Araujo (IWANN (1), 2009)

EDEVITALZH: Predictive, Preventive, Participatory and Personalized e-Health Platform to Assist in the Geriatrics and Neurology Clinical Scopes. - Carmen Paz Suárez Araujo; Miguel Ángel Pérez del Pino; Patricio García Báez; Pablo Fernández López (EUROCAST (2), 2011)

Neural Network Ensembles with Missing Data Processing and Data Fusion Capacities: Applications in Medicine and in the Environment. - Patricio García Báez; Carmen Paz Suárez Araujo; Pablo Fernández López (IWANN (2), 2011)

SNEOM: A Sanger Network Based Extended Over-Sampling Method. Application to Imbalanced Biomedical Datasets. - José Manuel Martínez-García; Carmen Paz Suárez Araujo; Patricio García Báez (ICONIP (4), 2012)

A Counterpropagation Network based system for screening of Mild Cognitive Impairment. - José Manuel Martínez-García; Patricio García Báez; Miguel Ángel Pérez del Pino; Carlos Fernández Viadero; Carmen Paz Suárez Araujo (SISY, 2012)

Differential Diagnosis of Dementia Using HUMANN-S Based Ensembles. - Patricio García Báez; Carmen Paz Suárez Araujo; Carlos Fernández Viadero; Ales Procházka (Recent Advances in Intelligent Engineering Systems, 2012)

Self-Organizing Maps for Early Detection of Denial of Service Attacks. - Miguel Ángel Pérez del Pino; Patricio García Báez; Pablo Fernández López; Carmen Paz Suárez Araujo (Recent Advances in Intelligent Engineering Systems, 2012)

Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides. - Yeray Álvarez Romero; Patricio García Báez; Carmen Paz Suárez Araujo (IWANN (1), 2013)

Dynamic of Nitric Oxide Diffusion in Volume Transmission: Model and Validation. - Pablo Fernández López; Patricio García Báez; Carmen Paz Suárez Araujo (ICONIP (1), 2014)

Nitric Oxide Diffusion and Multi-compartmental Systems: Modeling and Implications. - Pablo Fernández López; Patricio García Báez; Carmen Paz Suárez Araujo (ICONIP (3), 2015)

Detection of mild cognitive impairment using a counterpropagation network based system. An e-health solution. - Patricio García Báez; Carlos Fernández Viadero; Norberto Rodríguez Espinosa; Miguel Ángel Pérez del Pino; Carmen Paz Suárez Araujo (IWCIM, 2015)

Self-Organizing Maps in the Design of Anti-spam Filters - A Proposal based on Thematic Categories. - Ylermi Cabrera-León; Patricio García Báez; Carmen Paz Suárez Araujo (IJCCI (NCTA), 2016)

Non-email Spam and Machine Learning-Based Anti-spam Filters: Trends and Some Remarks. - Ylermi Cabrera-León; Patricio García Báez; Carmen Paz Suárez Araujo (EUROCAST (1), 2017)

Toward an Intelligent Computing Solution for Endotracheal Obstruction Prediction in COVID-19 Patients in ICU. - Pablo Fernández López; Carmen Paz Suárez Araujo; Patricio García Báez; Francisco J. Suárez-Díaz; Juan L. Navarro-Mesa; Guillermo Pérez-Acosta; José Blanco-López (IWANN (1), 2021)

Detection of Alzheimer's Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network. - Alberto Sosa-Marrero; Ylermi Cabrera-León; Pablo Fernández López; Patricio García Báez; Juan Luis Navarro Mesa; Carmen Paz Suárez Araujo (IWANN (2), 2021)

A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture. - Carmen Paz Suárez Araujo; Patricio García Báez; Ylermi Cabrera-León; Ales Procházka; Norberto Rodríguez Espinosa; Carlos Fernández Viadero (Comput. Math. Methods Medicine, 2021)

Volume Signaling and Neural-Indexing by Nitric Oxide in Artificial Neural Networks. - Pablo Fernández López; Patricio García Báez; Ylermi Cabrera-León; Juan L. Navarro-Mesa; Carmen Paz Suárez Araujo (IEEE Access, 2022)

Study on Mild Cognitive Impairment and Alzheimer's Disease Classification Using a New Ontogenic Neural Architecture, The Supervised Reconfigurable Growing Neural Gas. - Ylermi Cabrera-León; Patricio García Báez; Pablo Fernández López; Carmen Paz Suárez Araujo (ANNSIM, 2023)

Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts. - Ruxandra Stoean; Patricio García Báez; Carmen Paz Suárez Araujo; Nebojsa Bacanin; Miguel A. Atencia Ruiz; Catalin Stoean (IWANN (2), 2023)

BigLSTM: Recurrent neural network for the treatment of anomalous temporal signals. Application in the prediction of endotracheal obstruction in COVID-19 patients in the intensive care unit. - Pablo Fernández López; Patricio García Báez; Ylermi Cabrera-León; Juan L. Navarro-Mesa; Guillermo Pérez-Acosta; José Blanco-López; Carmen Paz Suárez Araujo (Comput. Biol. Medicine, 2025)