Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications L Pastur-Romay, F Cedrón, A Pazos, AB Porto-Pazos International Journal of Molecular Science 17 (1313), 2016 | 123 | 2016 |
Artificial Astrocytes Improve Neural Network Performance AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, ... PloS ONE 6 (4), e19109, 2011 | 110 | 2011 |
Artificial Intelligence Techniques for Colorectal Cancer Drug Metabolism: Ontologies and Complex Networks M Martínez-Romero, JM Vázquez-Naya, J R Rabunal, S Pita-Fernández, ... Current drug metabolism 11 (4), 347-368, 2010 | 90 | 2010 |
Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection JL Blanco, AB Porto-Pazos, A Pazos, C Fernandez-Lozano Scientific reports 8 (1), 15688, 2018 | 61 | 2018 |
Ontologies of drug discovery and design for neurology, cardiology and oncology J M. Vazquez-Naya, M Martinez-Romero, A B. Porto-Pazos, F Novoa, ... Current pharmaceutical design 16 (24), 2724-2736, 2010 | 60 | 2010 |
Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks ABPP Alberto Alvarellos, Alejandro Pazos Computational and Mathematical Methods in Medicine, 2012 | 50 | 2012 |
Heterosynaptic metaplastic regulation of synaptic efficacy in CA1 pyramidal neurons of rat hippocampus D Le Ray, D Fernández De Sevilla, A Belén Porto, M Fuenzalida, W Buño Hippocampus 14 (8), 1011-1025, 2004 | 48 | 2004 |
Artificial Neuron-Glia Networks Learning Aproach Based on Cooperative Coevolution P Mesejo, Ó Ibáñez, E Fernández-Blanco, F Cedrón, A Pazos, ... International Journal of Neural Systems 5, 2015 | 45 | 2015 |
A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems A Porto, A Araque, J Rabuñal, J Dorado, A Pazos Neurocomputing 70 (16-18), 2799-2808, 2007 | 25 | 2007 |
Selective shunting of the NMDA EPSP component by the slow afterhyperpolarization in rat CA1 pyramidal neurons D Fernandez de Sevilla, M Fuenzalida, AB Porto Pazos, W Buño Journal of Neurophysiology 97 (5), 3242-3255, 2007 | 24 | 2007 |
Artificial neural networks based on brain circuits behaviour and genetic algorithms A Porto, A Pazos, A Araque International Work-Conference on Artificial Neural Networks, 99-106, 2005 | 21 | 2005 |
Parallel computing for brain simulation L A Pastur-Romay, A B Porto-Pazos, F Cedrón, A Pazos Current Topics in Medicinal Chemistry 17 (14), 1646-1668, 2017 | 15 | 2017 |
Advancing Artificial Intelligence Through Biological Process Applications AB Pazos, A Sierra, W Buceta Medical Information Science Reference, 2008 | 15* | 2008 |
Modelos computacionales para optimizar el aprendizaje y el procesamiento de la información en sistemas adaptativos: redes neurogliales artificiales-RR. NG. AA AB Porto-Pazos Universidade da Coruña, 2004 | 13 | 2004 |
Prediction of anti-glioblastoma drug-decorated nanoparticle delivery systems using molecular descriptors and machine learning CR Munteanu, P Gutiérrez-Asorey, M Blanes-Rodríguez, ... International Journal of Molecular Sciences 22 (21), 11519, 2021 | 8 | 2021 |
Team Performance in Professional Basketball: an Approach Based on Neural Networks and Genetic Programming JMS Santos, ABP Pazos, AP Sierra XIII IASE and III ESEA CONFERENCE OF SPORTS, Prague, 2011 | 8 | 2011 |
Artificial NeuroGlial Networks ABP Pazos, AA González, FM Pazos Encyclopedia of artificial intelligence, 167, 2009 | 5 | 2009 |
Artificial glial cells in artificial neuronal networks: a systematic review S Alvarez-Gonzalez, F Cedron, A Pazos, AB Porto-Pazos Artificial Intelligence Review 56 (Suppl 2), 2651-2666, 2023 | 4 | 2023 |
Graph-based Processing of Macromolecular Information CR Munteanu, V Aguiar, A Freire, M Martínez-Romero, AB Porto-Pazos, ... Current Bioinformatics, 2015 | 4 | 2015 |
Neuroglial behaviour in computer science AB Porto, A Pazos Artificial neural networks in real-life applications, 1-21, 2006 | 4 | 2006 |