World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
6346
World Ranking
11568
National Ranking
729

Overview

Jaume Bacardit is affiliated with Newcastle University in the United Kingdom and has contributed extensively to the field of Medicine, with a particular focus on Rheumatology, Molecular Biology, Artificial Intelligence, Surgery, and Pharmacology.

Their research explores multiple topics, including:

  • Osteoarthritis Treatment and Mechanisms
  • Rheumatoid Arthritis Research and Therapies
  • Inflammatory mediators and NSAID effects
  • Animal Behavior and Welfare Studies
  • Meat and Animal Product Quality
  • Total Knee Arthroplasty Outcomes
  • Stock Market Forecasting Methods

Jaume Bacardit has published articles in a range of scientific venues. Frequent publication outlets include:

  • Osteoarthritis and Cartilage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Annals of the Rheumatic Diseases
  • Scientific Reports
  • arXiv (Cornell University)

Some notable recent papers authored or co-authored by Jaume Bacardit are:

  • Single-cell multi-omics analysis of the immune response in COVID-19, 2021, Nature Medicine
  • Developmental cell programs are co-opted in inflammatory skin disease, 2021, Science
  • Blood and immune development in human fetal bone marrow and Down syndrome, 2021, Nature
  • Osteoarthritis endotype discovery via clustering of biochemical marker data, 2022, Annals of the Rheumatic Diseases
  • Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs, 2020, Scientific Reports

The scientist has collaborated frequently with several researchers including:

  • M. Kloppenburg
  • I.K. Haugen
  • Francisco J. Blanco
  • Francis Bérenbaum
  • Anne-Christine Bay-Jensen

Best Publications

  • KEEL: a software tool to assess evolutionary algorithms for data mining problems

    J. Alcalá-Fdez;L. Sánchez;S. García;M. J. del Jesus

  • Decoding human fetal liver haematopoiesis

    Dorin-Mirel Popescu;Rachel A. Botting;Emily Stephenson;Kile Green

  • Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology

    Anna Louise Swan;Ali Mobasheri;David Allaway;Susan Liddell

  • MRPR: A MapReduce solution for prototype reduction in big data classification

    Isaac Triguero;Daniel Peralta;Jaume Bacardit;Salvador García

  • The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions

    Daniel J. Gibbs;Jaume Bacardit;Andreas Bachmair;Michael J. Holdsworth

  • Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

    Enrico Glaab;Jaume Bacardit;Jonathan M. Garibaldi;Natalio Krasnogor

  • ROSEFW-RF

    Isaac Triguero;Sara del Río;Victoria López;Jaume Bacardit

  • Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets

    George W. Bassel;Enrico Glaab;Julietta Marquez;Michael J. Holdsworth

  • Improving the scalability of rule-based evolutionary learning

    Jaume Bacardit;Edmund K. Burke;Natalio Krasnogor

  • Data mining in learning classifier systems: comparing XCS with GAssist

    Jaume Bacardit;Martin V. Butz

  • Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning

    Jake Cowton;Ilias Kyriazakis;Jaume Bacardit

  • Data Mining in Learning Classifier Systems: Comparing XCS with GAssist.

    Jaume Bacardit;Martin V. Butz

  • Bloat control and generalization pressure using the minimum description length principle for a pittsburgh approach learning classifier system

    Jaume Bacardit;Josep Maria Garrell

  • Large-scale data mining using genetics-based machine learning

    Jaume Bacardit;Xavier Llorí

  • WeFold: a coopetition for protein structure prediction.

    George A. Khoury;Adam Liwo;Firas Khatib;Firas Khatib;Hongyi Zhou

  • A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women

    N. Lazzarini;J. Runhaar;A. C. Bay-Jensen;C. S. Thudium

  • Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs

    Ali Alameer;Ilias Kyriazakis;Jaume Bacardit

  • Automatic recognition of feeding and foraging behaviour in pigs using deep learning

    Ali Alameer;Ilias Kyriazakis;Hillary A. Dalton;Amy L. Miller

  • Evolving multiple discretizations with adaptive intervals for a Pittsburgh rule-based learning classifier system

    Jaume Bacardit;Josep Maria Garrell

  • Automated Alphabet Reduction for Protein Datasets

    Jaume Bacardit;Michael Stout;Jonathan D. Hirst;Alfonso Valencia

  • Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System.

    Jaume Bacardit;Josep Maria Garrell i Guiu

  • GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation

    C Igel;DV Arnold;C Gagne;E Popovici

Frequent Co-Authors

Natalio Krasnogor
Natalio Krasnogor Newcastle University
Ali Mobasheri
Ali Mobasheri University of Oulu
Sarah A. Teichmann
Sarah A. Teichmann University of Cambridge
Muzlifah Haniffa
Muzlifah Haniffa Newcastle University
Sam Behjati
Sam Behjati Wellcome Sanger Institute
Martin V. Butz
Martin V. Butz University of Tübingen
Aviv Regev
Aviv Regev Genentech
John Loughlin
John Loughlin Newcastle University
Berthold Göttgens
Berthold Göttgens University of Cambridge
Francisco Herrera
Francisco Herrera University of Granada

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