Alejandro Pazos
Cited by
Cited by
Building a chemical ontology using methontology and the ontology design environment
MF López, A Gómez-Pérez, JP Sierra, AP Sierra
IEEE Intelligent Systems and their applications 14 (1), 37-46, 1999
Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks
L Guo, D Rivero, A Pazos
Journal of neuroscience methods 193 (1), 156-163, 2010
Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks
L Guo, D Rivero, J Dorado, JR Rabunal, A Pazos
Journal of neuroscience methods 191 (1), 101-109, 2010
Automatic feature extraction using genetic programming: An application to epileptic EEG classification
L Guo, D Rivero, J Dorado, CR Munteanu, A Pazos
Expert Systems with Applications 38 (8), 10425-10436, 2011
Artificial neural networks in real-life applications
JR Rabunal, J Dorado
IGI Global, 2006
Classification of EEG signals using relative wavelet energy and artificial neural networks
L Guo, D Rivero, JA Seoane, A Pazos
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary …, 2009
A review on machine learning approaches and trends in drug discovery
P Carracedo-Reboredo, J Liñares-Blanco, N Rodríguez-Fernández, ...
Computational and structural biotechnology journal 19, 4538-4558, 2021
Building a chemical ontology using METHONTOLOGY and the ontology design environment
M Fernández, A Gómez-Pérez, J Pazos, A Pazos
IEEE intelligent Systems 14 (1), 37-46, 1999
Introducción a los algoritmos genéticos y la programación genética
Marcos; Rivero Gestal (Daniel; Rabuñal, Juan Ramón; Dorado, Julián; Pazos ...
Universidade da Coruña, 2010
Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques
A Puente-Castro, E Fernandez-Blanco, A Pazos, CR Munteanu
Computers in biology and medicine 120, 103764, 2020
Deep artificial neural networks and neuromorphic chips for big data analysis: pharmaceutical and bioinformatics applications
LA Pastur-Romay, F Cedrón, A Pazos, AB Porto-Pazos
International journal of molecular sciences 17 (8), 1313, 2016
Prediction and modeling of the rainfall-runoff transformation of a typical urban basin using ANN and GP
J Dorado, JR RabuñAL, A Pazos, D Rivero, A Santos, J Puertas
Applied Artificial Intelligence 17 (4), 329-343, 2003
NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation
M Martínez-Romero, C Jonquet, MJ O’connor, J Graybeal, A Pazos, ...
Journal of biomedical semantics 8, 1-22, 2017
MIND-BEST: Web Server for Drugs and Target Discovery; Design, Synthesis, and Assay of MAO-B Inhibitors and Theoretical− Experimental Study of G3PDH Protein from Trichomonas …
H González-Díaz, F Prado-Prado, X García-Mera, N Alonso, P Abeijón, ...
Journal of proteome research 10 (4), 1698-1718, 2011
Artificial astrocytes improve neural network performance
AB Porto-Pazos, N Veiguela, P Mesejo, M Navarrete, A Alvarellos, ...
PloS one 6 (4), e19109, 2011
A review of artificial intelligence applied to path planning in UAV swarms
A Puente-Castro, D Rivero, A Pazos, E Fernandez-Blanco
Neural Computing and Applications 34 (1), 153-170, 2022
Early warning in egg production curves from commercial hens: A SVM approach
IR Morales, DR Cebrián, EF Blanco, AP Sierra.
Computers and Electronics in Agriculture, 2016
Drug discovery and design for complex diseases through QSAR computational methods
C R Munteanu, E Fernández-Blanco, J A Seoane, P Izquierdo-Novo, ...
Current pharmaceutical design 16 (24), 2640-2655, 2010
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
3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites
R Concu, MA Dea-Ayuela, LG Perez-Montoto, FJ Prado-Prado, E Uriarte, ...
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1794 (12), 1784-1794, 2009
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