Publications

Complete publication list, with selected papers highlighted.

This page contains the complete publication list. Papers marked with the Selected badge highlight representative contributions.

Total publications: 74 Journal articles: 41 JCR-indexed: 35 D1 publications: 8

2026

  1. P2PFL: A modular framework for Decentralized Federated Learning Selected Q1 JCR
    Pedro Guijas Bravo, Sadi Alawadi, Daniel Rivero Cebrián, and Enrique Fernandez-Blanco
    Array, Dec 2026
    DOI: 10.1016/j.array.2026.101235
  2. Highly explainable predictive models with DoME for the management of DSP-related harmful algal blooms in the shellfish industry Q4 JCR
    Andres Molares-Ulloa, Daniel Rivero, Jose Molares, and Enrique Fernandez-Blanco
    Inteligencia Artificial, 2026
    DOI: 10.4114/intartif.vol29iss77pp78-90

2025

  1. Advanced Ocean Modeling and Machine Learning to Forecast Dinophysis Acuminata Blooms: A Tool to Support Shellfish Farming Management Selected D1 JCR
    Elisabet Rocruz, Andres Molares-Ulloa, Xosé A Padin, Rita Nolasco, Daniel Rivero, and 2 more authors
    Ecological Informatics, 2025
    DOI: 10.1016/j.ecoinf.2025.103438
  2. Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models
    Alejandro Puente-Castro, Enrique Fernandez-Blanco, Daniel Rivero, and Andres Molares-Ulloa
    2025
  3. El impacto del uso de flipped learning, problem-based learning y evaluación continua en la asignatura de aprendizaje automático
    Daniel Rivero, Alejandro Puente-Castro, Enrique Fernandez-Blanco, and Juan R Rabuñal
    In CUICIID 2025: Congreso Universitario Internacional sobre Comunicación, Innovación, Investigación y Docencia, 2025
    DOI: 10.15178/cuiciid_2025
  4. Ensemble of convolution neural networks on heterogeneous signals for sleep stage scoring
    Enrique Fernandez-Blanco, Brais Galdo, Carlos Fernandez-Lozano, Alejandro Pazos, and Daniel Rivero
    Multimedia Tools and Applications, 2025
    DOI: 10.1007/s11042-025-20728-y
  5. Towards improved harmful algal bloom forecasts: A comparison of symbolic regression with DoME and stream learning performance Selected D1 JCR
    Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A Padin, Rita Nolasco, and 2 more authors
    Computers and Electronics in Agriculture, 2025
    DOI: 10.1016/j.compag.2025.110112

2024

  1. Artificial intelligence in paediatrics: Current events and challenges Q2 JCR
    Brais Galdo, Carla Pazos, Jerónimo Pardo, Alfonso Solar, Daniel Llamas, and 2 more authors
    Anales de Pediatrı́a (English Edition), 2024
    DOI: 10.1016/j.anpede.2024.02.009
  2. Optimization of indirect wastewater characterization using led spectrophotometry: a comparative analysis of regression, scaling, and dimensionality reduction methods
    Daniel Carreres-Prieto, Enrique Fernandez-Blanco, Daniel Rivero, Juan R Rabuñal, Jose Anta, and 1 more author
    Environmental Science and Pollution Research, 2024
    DOI: 10.1007/s11356-024-34714-8
  3. Q-learning based system for path planning with unmanned aerial vehicles swarms in obstacle environments Selected Q1 JCR
    Alejandro Puente-Castro, Daniel Rivero, Eurico Pedrosa, Artur Pereira, Nuno Lau, and 1 more author
    Expert Systems with Applications, 2024
    DOI: 10.1016/j.eswa.2023.121240
  4. Taxonomy of path planning algorithms for swarms of unmanned aerial, ground, and aquatic vehicles
    Alejandro Puente-Castro, Daniel Rivero, Enrique Fernandez-Blanco, and Francisco Lamas-Lopez
    Ground, and Aquatic Vehicles, 2024

2023

  1. Acuicultura y Machine Learning: un caso práctico en la predicción de la floración de algas nocivas
    Andrés Molares Ulloa, Enrique Fernandez-Blanco, and Daniel Rivero
    In XXIV Foroacui: Foro dos Recursos Mariños e da Acuicultura das Rı́as Galegas, 2023
  2. Deep learning models for real-life human activity recognition from smartphone sensor data Q1 JCR
    Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernandez-Blanco, and Miguel R Luaces
    Internet of Things, 2023
    DOI: 10.1016/j.iot.2023.100925
  3. Hybrid machine learning techniques in the management of harmful algal blooms impact D1 JCR
    Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernandez-Blanco, and Luis De-la-Fuente-Valentı́n
    Computers and Electronics in Agriculture, 2023
    DOI: 10.1016/j.compag.2023.107988
  4. Introducing a Human Activity Recognition Dataset Gathered on Real-Life Conditions
    Daniel Garcı́a-González, Enrique Fernandez-Blanco, Daniel Rivero, and Miguel Rodrı́guez Luaces
    2023
    DOI: 10.17979/spudc.000024.08
  5. New machine learning approaches for real-life human activity recognition using smartphone sensor-based data Selected Q1 JCR
    Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernandez-Blanco, and Miguel R Luaces
    Knowledge-Based Systems, 2023
    DOI: 10.1016/j.knosys.2023.110260
  6. A influencia de facer os criterios de avaliación públicos en materias vinculadas ao Grao de Enxeñarı́a en Informática
    Enrique Fernandez-Blanco, Carlos Fernández-Lozano, and Daniel Rivero
    2023

2022

  1. DoME: A deterministic technique for equation development and Symbolic Regression Selected Q1 JCR
    Daniel Rivero, Enrique Fernandez-Blanco, and Alejandro Pazos
    Expert Systems with Applications, 2022
    DOI: 10.1016/j.eswa.2022.116712
  2. FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs Q1 JCR
    Enrique Bermejo, Enrique Fernandez-Blanco, Andrea Valsecchi, Pablo Mesejo, Oscar Ibáñez, and 1 more author
    Expert Systems with Applications, 2022
    DOI: 10.1016/j.eswa.2022.118457
  3. Machine learning in management of precautionary closures caused by lipophilic biotoxins D1 JCR
    Andres Molares-Ulloa, Enrique Fernandez-Blanco, Alejandro Pazos, and Daniel Rivero
    Computers and Electronics in Agriculture, 2022
    DOI: 10.1016/j.compag.2022.106956
  4. UAV swarm path planning with reinforcement learning for field prospecting Q2 JCR
    Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, and Enrique Fernandez-Blanco
    Applied Intelligence, 2022
    DOI: 10.1007/s10489-022-03254-4
  5. A review of artificial intelligence applied to path planning in UAV swarms Q2 JCR
    Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, and Enrique Fernandez-Blanco
    Neural Computing and Applications, 2022
    DOI: 10.1007/s00521-021-06569-4

2021

  1. Artificial Intelligence System for advice on precautionary closures of the Vigo estuary due to lipophilic biotoxins
    Andres Molares-Ulloa, Daniel Cebrián, and Enrique Fernandez-Blanco
    2021
    DOI: 10.3390/mol2net-07-11842
  2. Artificial Intelligence techniques for autonomous drone swarms
    Alejandro Puente-Castro, Daniel Cebrián, Alejandro Pazos, and Enrique Fernandez-Blanco
    In MOL2NET’21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed., 2021
    DOI: 10.3390/mol2net-07-11845
  3. Detection of bovine mastitis in raw milk, using a low-cost NIR spectrometer and k-NN algorithm Q2 JCR
    Ivan Ramirez-Morales, Lenin Aguilar, Enrique Fernandez-Blanco, Daniel Rivero, Jhonny Perez, and 1 more author
    Applied Sciences, 2021
    DOI: 10.3390/app112210751
  4. Detection of Chocolate Properties Using Near-Infrared Spectrophotometry
    Brais Galdo, Enrique Fernandez-Blanco, and Daniel Rivero
    In Engineering Proceedings, 2021
    DOI: 10.3390/engproc2021007037
  5. Development of a Server for the Implementation of Data Processing Pipelines and ANN Training
    Brais Galdo, Daniel Rivero, and Enrique Fernandez-Blanco
    In Engineering Proceedings, 2021
    DOI: 10.3390/engproc2021007038
  6. Using Reinforcement Learning in the Path Planning of Swarms of UAVs for the Photographic Capture of Terrains
    Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, and Enrique Fernandez-Blanco
    2021
    DOI: 10.3390/engproc2021007032

2020

  1. A public domain dataset for real-life human activity recognition using smartphone sensors Q1 JCR
    Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernandez-Blanco, and Miguel R Luaces
    Sensors, 2020
    DOI: 10.3390/s20082200
  2. Application of artificial neural networks for the monitoring of episodes of high toxicity by DSP in Mussel Production Areas in Galicia
    Andrés Molares, Enrique Fernandez-Blanco, and Daniel Rivero
    In Proceedings, 2020
    DOI: 10.3390/proceedings2020054012
  3. Automatic assessment of Alzheimer’s disease diagnosis based on deep learning techniques Selected Q1 JCR
    Alejandro Puente-Castro, Enrique Fernandez-Blanco, Alejandro Pazos, and Cristian R Munteanu
    Computers in Biology and Medicine, 2020
    DOI: 10.1016/j.compbiomed.2020.103764
  4. Classical Music Prediction and Composition by Means of Variational Autoencoders Q2 JCR
    Daniel Rivero, Ivan Ramı́rez-Morales, Enrique Fernandez-Blanco, Norberto Ezquerra, and Alejandro Pazos
    Applied Sciences, 2020
    DOI: 10.3390/app10093053
  5. Convolutional neural networks for sleep stage scoring on a two-channel EEG signal Q2 JCR
    Enrique Fernandez-Blanco, Daniel Rivero, and Alejandro Pazos
    Soft Computing, 2020
  6. EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage Selected Q1 JCR
    Enrique Fernandez-Blanco, Daniel Rivero, and Alejandro Pazos
    Neurocomputing, 2020
    DOI: 10.1016/j.neucom.2020.05.085
  7. Extracción automática de caracterı́sticas
    Enrique Fernandez-Blanco and Daniel Cebrián
    2020
  8. Population subset selection for the use of a validation dataset for overfitting control in genetic programming Q3 JCR
    Daniel Rivero, Enrique Fernandez-Blanco, Carlos Fernandez-Lozano, and Alejandro Pazos
    Journal of Experimental & Theoretical Artificial Intelligence, 2020

2019

  1. Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning
    Brais Galdo, Daniel Rivero, and Enrique Fernandez-Blanco
    In Proceedings, 2019
    DOI: 10.3390/proceedings2019021048
  2. System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
    Alejandro Puente-Castro, Cristian R Munteanu, and Enrique Fernandez-Blanco
    In Proceedings, 2019
    DOI: 10.3390/proceedings2019021028
  3. A new deterministic technique for symbolic regression
    Daniel Rivero and Enrique Fernandez-Blanco
    2019

2018

  1. Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques D1 JCR
    Julian Coronel-Reyes, Ivan Ramirez-Morales, Enrique Fernandez-Blanco, Daniel Rivero, and Alejandro Pazos
    Computers and Electronics in Agriculture, 2018
    DOI: 10.1016/j.compag.2017.12.030

2017

  1. Automated early detection of drops in commercial egg production using neural networks Q2 JCR
    Iván Ramı́rez-Morales, Enrique Fernandez-Blanco, Daniel Rivero, and A Pazos
    British Poultry Science, 2017
    DOI: 10.1080/00071668.2017.1379051

2016

  1. Early warning in egg production curves from commercial hens: A SVM approach D1 JCR
    Iván Ramı́rez Morales, Daniel Rivero Cebrián, Enrique Fernández Blanco, and Alejandro Pazos Sierra
    Computers and Electronics in Agriculture, 2016
    DOI: 10.1016/j.compag.2015.12.009
  2. La docencia de entornos inmersivos, interactivos y de entretenimiento en el Grado en Ingenierı́a Informática
    Daniel Rivero, Enrique Fernandez-Blanco, Marcos Gestal, Juan R Rabuñal, Julián Dorado, and 1 more author
    In Presente y futuro de la docencia universitaria: presente e futuro da docencia universitaria, 2016
  3. Optimization of NIR calibration models for multiple processes in the sugar industry Q1 JCR
    Iván Ramı́rez-Morales, Daniel Rivero, Enrique Fernandez-Blanco, and Alejandro Pazos
    Chemometrics and Intelligent Laboratory Systems, 2016
    DOI: 10.1016/j.chemolab.2016.10.003

2015

  1. A hybrid evolutionary system for automated artificial neural networks generation and simplification in biomedical applications Q4 JCR
    Enrique Fernandez-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, and 2 more authors
    Current Bioinformatics, 2015
    DOI: 10.2174/1574893610666151008012923
  2. Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution D1 JCR
    Pablo Mesejo, Oscar Ibáñez, Enrique Fernandez-Blanco, Francisco Cedrón, Alejandro Pazos, and 1 more author
    International Journal of Neural Systems, 2015
    DOI: 10.1142/s0129065715500124
  3. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models Q1 JCR
    Carlos Fernandez-Lozano, Ruben F Cuinas, Jose A Seoane, Enrique Fernandez-Blanco, Julian Dorado, and 1 more author
    Journal of Theoretical Biology, 2015
    DOI: 10.1016/j.jtbi.2015.07.038
  4. Classification of two-channel signals by means of genetic programming
    Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, and Alejandro Pazos
    In GECCO 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, 2015
    DOI: 10.1145/2739482.2768507
  5. Aprendizaje basado en ejemplos: Desarrollo de aplicaciones empresariales con tecnologı́as .Net
    Marcos Gestal, José Vázquez-Naya, Enrique Fernandez-Blanco, Daniel Rivero, Juan R Rabuñal, and 2 more authors
    2015
  6. Prediction of nucleotide binding peptides using star graph topological indices Q2 JCR
    Yong Liu, Cristian R Munteanu, Enrique Fernandez-Blanco, Zhiliang Tan, Antonino Riego, and 1 more author
    Molecular Informatics, 2015
    DOI: 10.1002/minf.201500064

2014

  1. Improving Enzyme Regulatory Protein Classification by means of SVM-RFE Feature Selectio Q2 JCR
    Carlos Fernandez-Lozano, Enrique Fernandez-Blanco, Kirtan Dave, Nieves Pedreira, Marcos Gestal, and 2 more authors
    Molecular BioSystems, 2014
    DOI: 10.1039/c3mb70489k

2013

  1. Classification of signals by means of Genetic Programming Q2 JCR
    Enrique Fernandez-Blanco, Daniel Rivero, Marcos Gestal, and Julián Dorado
    Soft Computing, 2013
    DOI: 10.1007/s00500-013-1036-4
  2. Random Forest Classification based on Star Graph Topological Indices for Antioxidant Proteins Q1 JCR
    Enrique Fernandez-Blanco, Vanessa Aguiar-Pulido, Cristian Robert Munteanu, and Julian Dorado
    Journal of Theoretical Biology, 2013
    DOI: 10.1016/j.jtbi.2012.10.006
  3. Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification
    Daniel Rivero, Vanessa Aguiar–Pulido, Enrique Fernandez–Blanco, and Marcos Gestal
    International Journal of Data Mining, Modelling and Management, 2013
    DOI: 10.1504/ijdmmm.2013.053695

2012

  1. Automatic seizure detection based on star graph topological indices Q2 JCR
    Enrique Fernandez-Blanco, Daniel Rivero, Juan Rabunal, Julian Dorado, Alejandro Pazos, and 1 more author
    Journal of Neuroscience Methods, 2012
    DOI: 10.1016/j.jneumeth.2012.07.004
  2. Naı̈ve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer Q2 JCR
    Vanessa Aguiar-Pulido, Cristian R Munteanu, José A Seoane, Enrique Fernandez-Blanco, Lázaro G Pérez-Montoto, and 2 more authors
    Molecular BioSystems, 2012
    DOI: 10.1039/c2mb25039j
  3. Un ADN artificial simplificado como método de clasificación
    Enrique Fernandez-Blanco, Vanessa Aguiar-Pulido, Alba Cabarcos, and Alejandro Pazos
    In VIII Congreso Español sobre Metaheurı́sticas, Algoritmos Evolutivos y Bioinspirados, 2012

2011

  1. A new signal classification technique by means of Genetic Algorithms and kNN
    Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, and Alejandro Pazos
    In 2011 IEEE Congress of Evolutionary Computation (CEC), 2011
    DOI: 10.1109/cec.2011.5949671
  2. Using recurrent ANNs for the detection of epileptic seizures in EEG signals
    Daniel Rivero, Enrique Fernandez-Blanco, Julian Dorado, and Alejandro Pazos
    In 2011 IEEE Congress of Evolutionary Computation (CEC), 2011
    DOI: 10.1109/cec.2011.5949672
  3. Artificial cells for information processing: iris classification
    Enrique Fernandez-Blanco, Julian Dorado, Jose A Serantes, Daniel Rivero, and Juan R Rabuñal
    In European Conference on Artificial Life, 2011

2010

  1. Artificial Cell Model used for Information Processing
    Enrique Fernandez-Blanco, Jose A Serantes, Nieves Pedreira, and Julián Dorado
    In Soft Computing Methods for Practical Environment Solutions: Techniques and Studies, 2010
    DOI: 10.4018/978-1-61520-893-7.ch002
  2. Drug discovery and design for complex diseases through QSAR computational methods D1 JCR
    Cristian R. Munteanu, Enrique Fernandez-Blanco, Jose A. Seoane, Pilar Izquierdo-Novo, Jose Angel Rodriguez-Fernandez, and 3 more authors
    Current Pharmaceutical Design, 2010
    DOI: 10.2174/138161210792389252
  3. QSPR models for cerebral cortex co-activation networks
    Humberto González-Dı́az, Santiago Vilar, Daniel Rivero, Enrique Fernandez-Blanco, Ana Porto, and 1 more author
    In Topological Indices for Medicinal Chemistry, Biology, Parasitology, and Social Networks, 2010
  4. Two-population genetic algorithm: An approach to improve the population diversity
    Marcos Gestal, Daniel Rivero, Enrique Fernandez-Blanco, Juan R Rabuñal, and Julian Dorado
    In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 2010
    DOI: 10.5220/0002760306350639

2009

  1. A genetic algorithm for ANN design, training and simplification
    Daniel Rivero, Julian Dorado, Enrique Fernandez-Blanco, and Alejandro Pazos
    In International Work-Conference on Artificial Neural Networks, 2009
    DOI: 10.1007/978-3-642-02478-8_49

2008

  1. 2D-PAGE Analysis Using Evolutionary Computation
    Pablo Mesejo, Enrique Fernandez-Blanco, Diego Martinez-Feijoo, and Francisco J Blanco
    In Encyclopedia of Artificial Intelligence, 2008
    DOI: 10.4018/978-1-59904-849-9.ch232
  2. Artificial cell systems based in Gene Expression Protein effects
    Enrique Fernandez-Blanco, Julian Dorado, and Nieves Pedreira
    In Advancing Artificial Intelligence Through Biological Process Applications, 2008
  3. Computer Morphogenesis in Self-Organizing Structures
    Enrique Fernandez-Blanco and Julian Dorado
    In Encyclopedia of Artificial Intelligence, 2008
  4. Gene Regulation Network Use for Information Processing
    Enrique Fernandez-Blanco and Jose A Serantes
    In Encyclopedia of Artificial Intelligence, 2008

2007

  1. A computational morphogenesis approach to simple structure development
    Enrique Fernandez-Blanco, Julián Dorado, Juan R Rabuñal, Marcos Gestal, Pedreira, and 1 more author
    In European Conference on Artificial Life, 2007
  2. A New Evolutionary Computation Technique for 2D Morphogenesis and Information Processing
    Enrique Fernandez-Blanco, Julian Dorado, Juan Rabuñal, Marcos Gestal, and Pedreira Nieves
    WSEAS Transactions on Information Science & Applications, 2007
  3. REDES DE NEURONAS ARTIFICIALES Y COMPUTACIÓN EVOLUTIVA
    Marcos Gestal, Julián Dorado, and Enrique Fernandez-Blanco
    In Tecnologı́as de la Información y las Comunicaciones en Ingenierı́a Civil, 2007
  4. Sistema Celular Artificial para Morfogénesis Estructural
    Enrique Fernandez-Blanco, Julian Dorado, Juan Rabuñal, and Marcos Gestal
    In V Congreso Español sobre Metaheurı́sticas, Algoritmos Evolutivos y Bioinspirados, 2007

2006

  1. Computational morphogenesis applied to 2D structures generation
    Enrique Fernandez-Blanco, Julian Dorado, Juan R Rabuñal, Marcos Gestal, and Nieves Pedreira
    In 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, 2006