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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
20332
World Ranking
1773
National Ranking
100

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Alex A. Freitas is affiliated with the University of Kent in the United Kingdom and conducts research primarily in the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Their work spans several subfields, including Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Aging, and Health Information Management.

The scientist's research focuses mainly on topics such as Machine Learning and Data Classification, Bioinformatics and Genomic Networks, Data Stream Mining Techniques, Genetics, Aging, and Longevity in Model Organisms, Computational Drug Discovery Methods, Evolutionary Algorithms and Applications, and Imbalanced Data Classification Techniques.

Freitas has contributed to multiple publications in notable venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • British Journal of Oral and Maxillofacial Surgery
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Aging
  • Artificial Intelligence Review

Some of the recent papers written by the scientist include:

  • "Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues" (2021, Aging)
  • "A data-driven missing value imputation approach for longitudinal datasets" (2021, Artificial Intelligence Review)
  • "Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery" (2022, British Journal of Oral and Maxillofacial Surgery)
  • "A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes" (2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics)
  • "A survey of evolutionary algorithms for supervised ensemble learning" (2023, The Knowledge Engineering Review)

Frequent co-authors collaborating with Alex A. Freitas include:

  • João Pedro de Magalhães
  • Caio Ribeiro
  • David Tighe
  • Simon Provost
  • Alexandre Plastino

Best Publications

  • Data mining with an ant colony optimization algorithm

    R.S. Parpinelli;H.S. Lopes;A.A. Freitas

  • A survey of hierarchical classification across different application domains

    Carlos N. Silla;Alex A. Freitas

  • Data Mining and Knowledge Discovery with Evolutionary Algorithms

    Alex A. Freitas

  • A Survey of Evolutionary Algorithms for Clustering

    E.R. Hruschka;R.J.G.B. Campello;A.A. Freitas;A.C.P.L.F. de Carvalho

  • Comprehensible classification models: a position paper

    Alex A. Freitas

  • A survey of evolutionary algorithms for data mining and knowledge discovery

    Alex A. Freitas

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • On rule interestingness measures

    A. A. Freitas

  • A Survey of Evolutionary Algorithms for Decision-Tree Induction

    R. C. Barros;M. P. Basgalupp;A. C. P. L. F. de Carvalho;A. A. Freitas

  • Mining Very Large Databases with Parallel Processing

    Alex A. Freitas;S. H. Lavington

  • Automatic Text Summarization Using a Machine Learning Approach

    Joel Larocca Neto;Alex Alves Freitas;Celso A. A. Kaestner

  • Discovering comprehensible classification rules with a genetic algorithm

    M.V. Fidelis;H.S. Lopes;A.A. Freitas

  • A critical review of multi-objective optimization in data mining: a position paper

    Alex A. Freitas

  • A hybrid decision tree/genetic algorithm method for data mining

    Deborah R. Carvalho;Alex A. Freitas

  • Document Clustering and Text Summarization

    Joel Larocca Neto;Alexandre D. Santos;Celso A.A. Kaestner;Alex A. Freitas

  • An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

    Sam Cramer;Michael Kampouridis;Alex Alves Freitas;Antonis K. Alexandridis

  • Understanding the Crucial Role of AttributeInteraction in Data Mining

    Alex A. Freitas

  • A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets

    Celia C. Bojarczuk;Heitor S. Lopes;Alex A. Freitas;Edson L. Michalkiewicz

  • Discovering interesting prediction rules with a genetic algorithm

    E. Noda;A.A. Freitas;H.S. Lopes

  • A Tutorial on Multi-label Classification Techniques

    André Carlos Ponce de Leon Ferreira de Carvalho;Alex Alves Freitas

  • On Objective Measures of Rule Surprisingness

    Alex Alves Freitas

  • An Ant Colony Algorithm for Classification Rule Discovery

    Rafael S. Parpinelli;Heitor S. Lopes;Alex A. Freitas

Frequent Co-Authors

André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Jon Timmis
Jon Timmis University of Sunderland
João Pedro de Magalhães
João Pedro de Magalhães University of Liverpool
Darren R. Flower
Darren R. Flower Aston University
Christophe Dessimoz
Christophe Dessimoz University College London
Peter J. Bentley
Peter J. Bentley University College London
David T. Jones
David T. Jones University College London
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
Angelo Paradiso
Angelo Paradiso National Cancer Research Institute, UK
Martin Michaelis
Martin Michaelis University of Kent

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