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Alberto Fernandez
PeerJ Reviewer
750 Points

Contributions by role

Reviewer 50
Editor 700

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Bioinformatics
Algorithms and Analysis of Algorithms
Computer Vision
Visual Analytics
Data Science

Alberto Fernandez

PeerJ Reviewer

Summary

Alberto Fernández received the M.Sc. and Ph.D. degrees in computer science from the University of Granada, Granada, Spain, in 2005 and 2010, respectively. He is currently an Assistant Professor with the Department of Computer Science and Artificial Intelligence, University of Granada, Spain.

He has published more than 100 papers in highly rated JCR journals and international conferences. In 2013, 2014, and 2017 Dr. Fernández received the University of Granada Prize for Scientific Excellence Works in the field of Engineering. He has also been awarded in 2011 with the Lofti A. Zadeh Best Paper prize (IFSA Association). He has been recently selected as a Highly Cited Researcher http://highlycited.com (in the field of Computer Science, 2017 Clarivate Analytics). He is member of editorial board of several JCR journals such as Applied Intelligence and Plos-One, and also acted as guest editor for special issues in Cognitive Computation and Big Data Analytics. He is also a member of the Spanish Association of Artificial Intelligence (AEPIA).

His research interests include classification in imbalanced domains, fuzzy rule learning, evolutionary algorithms, multiclassification problems with ensembles and decomposition techniques, data science in big data applications and the field of Bioinformatics. He has been involved in several projects to apply these subjects of study into industry, healthcare, and economics, among others.

Artificial Intelligence Bioinformatics Data Mining & Machine Learning

Work details

Associate Professor

University of Granada
February 2016
Andalusian Interuniversity Institute in Data Science and Computational Intelligence (DasCI)

Websites

  • Google Scholar
  • ResearcherID
  • GitHub

PeerJ Contributions

  • Edited 3

Academic Editor on

June 6, 2023
A systematic review on artificial intelligence techniques for detecting thyroid diseases
Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori
https://doi.org/10.7717/peerj-cs.1394
November 24, 2022
A new approach for SPN removal: nearest value based mean filter
Bülent Turan
https://doi.org/10.7717/peerj-cs.1160
April 21, 2021
Utility metric for unsupervised feature selection
Amalia Villa, Abhijith Mundanad Narayanan, Sabine Van Huffel, Alexander Bertrand, Carolina Varon
https://doi.org/10.7717/peerj-cs.477