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Alberto Prieto

Alberto Prieto

D-Index & Metrics

Computer Science

D-Index
36
Citations
5470
World Ranking
11270
National Ranking
190

Overview

Alberto Prieto is affiliated with the University of Granada in Spain. Their research primarily spans the field of Computer Science, with specific focus on Computer Networks and Communications, Electrical and Electronic Engineering, Archeology, Information Systems, and Rheumatology. The main areas covered in Prieto's work address topics such as Green IT and Sustainability, Cloud Computing and Resource Management, Advanced Data Storage Technologies, Folate and B Vitamins Research, Neurological and Metabolic Disorders, Alcoholism, and Thiamine Deficiency, as well as Mobile Agent-Based Network Management.

Recent publications by Alberto Prieto include:

  • "Evolution of computing energy efficiency: Koomey's law revisited" (2024) published in Cluster Computing
  • "Evolution of Computing Energy Efficiency: Koomey's Law Revisited" (2024) published in SSRN Electronic Journal
  • "Metformin-induced vitamin B12 deficiency: An underdiagnosed cause of diabetic neuropathy" (2025) published in World Journal of Diabetes
  • "On Using P2P Technology for Decentralized Detection of Service Level Agreement Violations" (2021) published in arXiv (Cornell University)
  • "Eficiencia energética de computadores personales: un análisis comparativo" (2022) published in Institutional Repository of the University of Granada (University of Granada)

Frequent co-authors collaborating with Prieto include:

  • Beatriz Prieto
  • Juan José Escobar
  • Thomas Lampert
  • Jesús Jaime Moreno Escobar
  • Jesús González

Alberto Prieto's publications have appeared in a variety of scientific venues:

  • Cluster Computing
  • SSRN Electronic Journal
  • World Journal of Diabetes
  • arXiv (Cornell University)
  • Institutional Repository of the University of Granada (University of Granada)

The scope of Prieto's research reflects multidisciplinary interests bridging technological advancements in computing with biomedical and sustainability-related themes. Their work on energy efficiency addresses trends in computing performance and resource management, while contributions on metabolic and neurological disorders focus on emerging health challenges such as vitamin deficiencies related to diabetes treatment.

Best Publications

  • Editorial: Computational intelligence and bioinspired systems

    Alberto Prieto;Joan Cabestany;Francisco Sandoval

  • G-Prop: Global optimization of multilayer perceptrons using GAs

    P.A. Castillo;J.J. Merelo;A. Prieto;V. Rivas

  • Self-organized fuzzy system generation from training examples

    I. Rojas;H. Pomares;J. Ortega;A. Prieto

  • Neural networks

    Alberto Prieto;Beatriz Prieto;Eva Martinez Ortigosa;Eduardo Ros

  • Time series analysis using normalized PG-RBF network with regression weights

    Ignacio Rojas;Héctor Pomares;José Luis Bernier;Julio Ortega

  • A new clustering technique for function approximation

    J. Gonzalez;H. Rojas;J. Ortega;A. Prieto

  • Proteinotopic feature maps

    Juan J. Merelo;Miguel A. Andrade;Alberto Prieto;Federico Morán

  • Editorial: Computational and ambient intelligence

    Joan Cabestany;Francisco Sandoval;Alberto Prieto

  • Daily living activity recognition based on statistical feature quality group selection

    Oresti Banos;Miguel Damas;Hector Pomares;Alberto Prieto

  • A systematic approach to a self-generating fuzzy rule-table for function approximation

    H. Pomares;I. Rojas;J. Ortega;J. Gonzalez

  • Connectionist models of neurons, learning processes, and artificial intelligence

    J. Mira;A. Prieto

  • Bio-inspired systems. Computational and ambient intelligence

    Francisco Sandoval;Joan Cabestany;Alberto Prieto

  • TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

    L. J. Herrera;H. Pomares;I. Rojas;O. Valenzuela

  • Recursive prediction for long term time series forecasting using advanced models

    L. J. Herrera;H. Pomares;I. Rojas;A. Guillén

  • Evolving Multilayer Perceptrons

    P. A. Castillo;J. Carpio;J. J. Merelo;A. Prieto

  • Structure identification in complete rule-based fuzzy systems

    H. Pomares;I. Rojas;J. Gonzalez;A. Prieto

  • Separation of sources: a geometry-based procedure for reconstruction of n-valued signals

    C. G. Puntonet;A. Prieto;C. Jutten;M. Rodríguez-Alvarez

  • Statistical analysis of the parameters of a neuro-genetic algorithm

    P.A. Castillo-Valdivieso;J.J. Merelo;A. Prieto;I. Rojas

  • A-GAP: An Adaptive Protocol for Continuous Network Monitoring with Accuracy Objectives

    A.G. Prieto;R. Stadler

  • Neural net approach for blind separation of sources based on geometric properties

    Carlos García Puntonet;Alberto Prieto

Frequent Co-Authors

Ignacio Rojas
Ignacio Rojas University of Granada
Héctor Pomares
Héctor Pomares University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Eduardo Ros
Eduardo Ros Max Planck Society
Eduardo Ros
Eduardo Ros University of Granada
Alex Galis
Alex Galis University College London
Plamen Angelov
Plamen Angelov Lancaster University
Juan M. Corchado
Juan M. Corchado University of Salamanca
Agustín Estrada-Peña
Agustín Estrada-Peña University of Zaragoza
José M. Venzal
José M. Venzal University of the Republic

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