World's Best Scientists 2026 revealed!
Alberto Fernández

Alberto Fernández

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
50
Citations
23663
World Ranking
5466
National Ranking
70

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Alberto Fernández is affiliated with the University of Granada in Spain and has contributed significantly to the field of medicine, with a particular focus on endocrinology, pediatrics, and related subfields. Their research portfolio includes work spanning endocrinology, diabetes and metabolism, pediatrics, perinatology and child health, surgery, epidemiology, and cardiology and cardiovascular medicine.

The scientist has explored multiple specialized topics within these fields. Key areas of focus include:

  • Childhood Cancer Survivors' Quality of Life
  • Growth Hormone and Insulin-like Growth Factors
  • Pituitary Gland Disorders and Treatments
  • Neuroblastoma Research and Treatments
  • Electrolyte and hormonal disorders
  • Heart Failure Treatment and Management
  • Cervical Cancer and HPV Research

Several recent papers have featured Fernández's work, including:

  • Management of hyponatraemia and hypernatraemia during the Covid-19 pandemic: a consensus statement of the Spanish Society for Endocrinology (Acqua Neuroendocrinology Group), 2021, Reviews in Endocrine and Metabolic Disorders
  • Safety of growth hormone replacement in survivors of cancer and intracranial and pituitary tumours: a consensus statement, 2022, European Journal of Endocrinology
  • Safety of growth hormone replacement in survivors of cancer and intracranial and pituitary tumours: a consensus statement, 2022, Yearbook of pediatric endocrinology
  • Prognostic factors in patients with vulvar cancer: the VULCAN study, 2020, International Journal of Gynecological Cancer
  • Hypothalamic-Pituitary and Other Endocrine Surveillance Among Childhood Cancer Survivors, 2021, Endocrine Reviews

Frequent publication venues in which Fernández has appeared include:

  • Yearbook of pediatric endocrinology
  • OP-Journal
  • European Journal of Endocrinology
  • International Journal of Gynecological Cancer
  • Endocrine Reviews

Collaborations with other researchers are evident, and Fernández has co-authored papers multiple times with:

  • Wassim Chemaitilly
  • Hanneke M. van Santen
  • Lillian R. Meacham
  • Laurie E. Cohen
  • Judith Gebauer

Best Publications

  • A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

    M. Galar;A. Fernandez;E. Barrenechea;H. Bustince

  • KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

    J. Alcalá-Fdez;A. Fernández;J. Luengo;J. Derrac

  • Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

    Salvador García;Alberto Fernández;Julián Luengo;Francisco Herrera

  • SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary

    Alberto Fernández;Salvador García;Francisco Herrera;Nitesh V. Chawla

  • An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

    Victoria López;Alberto Fernández;Salvador García;Vasile Palade

  • An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Humberto Bustince

  • A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

    S. García;A. Fernández;J. Luengo;F. Herrera

  • EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

    Mikel Galar;Alberto Fernández;Edurne Barrenechea;Francisco Herrera

  • Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

    Alberto FernáNdez;Victoria LóPez;Mikel Galar;MaríA José Del Jesus

  • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets

    Alberto Fernández;Salvador García;María José del Jesus;Francisco Herrera

  • Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics

    Victoria López;Alberto Fernández;Jose G. Moreno-Torres;Francisco Herrera

  • Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

    Alberto Fernández;Sara del Río;Victoria López;Abdullah Bawakid

  • KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Isaac Triguero;Sergio González;Jose M. Moyano;Salvador García

  • New approach to chaotic encryption

    E. Alvarez;A. Fernández;P. Garcı́a;J. Jiménez

  • On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems

    Salma Elhag;Alberto Fernández;Abdullah Bawakid;Saleh Alshomrani

  • An insight into imbalanced Big Data classification: outcomes and challenges

    Alberto Fernández;Sara del Río;Nitesh V. Chawla;Francisco Herrera

  • Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

    Alberto Fernández;María José del Jesus;Francisco Herrera

  • Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling

    Julián Luengo;Alberto Fernández;Salvador García;Francisco Herrera

  • Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

    Alberto Fernandez;Francisco Herrera;Oscar Cordon;Maria Jose del Jesus

  • Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study

    A Fernández;S García;J Luengo;E Bernadó-Mansilla

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Salvador García
Salvador García University of Granada
María José del Jesus
María José del Jesus University of Jaén
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra
Julián Luengo
Julián Luengo University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
Isaac Triguero
Isaac Triguero University of Nottingham

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