World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
10003
World Ranking
4791
National Ranking
320

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to computational intelligence techniques in data analysis and decision support

Overview

Jonathan M. Garibaldi is affiliated with the University of Nottingham in the United Kingdom and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence and its applications. Their research encompasses various subfields including artificial intelligence, computer vision and pattern recognition, management science and operations research, industrial and manufacturing engineering, and computational theory and mathematics.

Their main topics of research activity cover fuzzy logic and control systems, neural networks and applications, data stream mining techniques, multi-criteria decision making, rough sets and fuzzy logic, medical image segmentation techniques, and advanced neural network applications.

Jonathan M. Garibaldi's recent publications include:

  • "The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences" (2022), published in IEEE Intelligent Systems
  • "Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems-A Participatory Design Approach" (2020), published in IEEE Transactions on Fuzzy Systems
  • "A Comprehensive Study of the Efficiency of Type-Reduction Algorithms" (2020), published in IEEE Transactions on Fuzzy Systems
  • "The Barriers and Motivators to Using Human Tissues for Research: The Views of UK-Based Biomedical Researchers" (2020), published in Biopreservation and Biobanking
  • "End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep Regression Network" (2020), published in IEEE Transactions on Medical Imaging

The scientist frequently publishes in venues such as:

  • IEEE Spectrum
  • IEEE Transactions on Fuzzy Systems
  • IEEE Computational Intelligence Magazine
  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Jonathan M. Garibaldi has collaborated extensively with several frequent co-authors, including Steven Heffner, Carmen S. Menoni, Evan Ackerman, Philip Ross, and Eliza Strickland.

In addition to journal articles and conference papers, Jonathan M. Garibaldi has published books with Springer Nature, including two editions of "Computational Intelligence" in 2021 and 2023.

The scientist was recognized as an IEEE Fellow in 2021 for contributions to computational intelligence techniques in data analysis and decision support.

Best Publications

  • Can machine-learning improve cardiovascular risk prediction using routine clinical data?

    Stephen F. Weng;Jenna Reps;Joe Kai;Jonathan M. Garibaldi

  • Real-Time Correlation-Based Stereo Vision with Reduced Border Errors

    Unknown

  • Root gravitropism is regulated by a transient lateral auxin gradient controlled by a tipping-point mechanism

    Leah R. Band;Darren M. Wells;Antoine Larrieu;Jianyong Sun

  • Receiver operating characteristic analysis for intelligent medical systems-a new approach for finding confidence intervals

    J.B. Tilbury;W.J. Van Eetvelt;J.M. Garibaldi;J.S.H. Curnsw

  • Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review

    Jianyong Sun;Jonathan M. Garibaldi;Charlie Hodgman

  • Uncertain Fuzzy Reasoning: A Case Study in Modelling Expert Decision Making

    J.M. Garibaldi;T. Ozen

  • A multicentre comparative study of 17 experts and an intelligent computer system for managing labour using the cardiotocogram.

    Robert D. F. Keith;Sarah Beckley;Jonathan M. Garibaldi;Jenny A. Westgate

  • A 'non-parametric' version of the naive Bayes classifier

    Daniele Soria;Jonathan M. Garibaldi;Federico Ambrogi;Elia M. Biganzoli

  • Multi-Robot Search and Rescue: A Potential Field Based Approach

    Joseph L Baxter;Edmund Burke;Jonathan M Garibaldi;Mark Norman

  • Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers

    Shang-Ming Zhou;Francisco Chiclana;Robert I. John;Jonathan M. Garibaldi

  • Fuzzy multiple heuristic orderings for examination timetabling

    Hishammuddin Asmuni;Edmund K. Burke;Jonathan M. Garibaldi;Barry McCollum

  • 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

  • From Interval-Valued Data to General Type-2 Fuzzy Sets

    Christian Wagner;Simon Miller;Jonathan M. Garibaldi;Derek T. Anderson

  • Automatic detection of protected health information from clinic narratives

    Hui Yang;Jonathan M. Garibaldi

  • ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

    Enrico Glaab;Jonathan M Garibaldi;Natalio Krasnogor

  • Fast, unconstrained camera motion estimation from stereo without tracking and robust statistics

    H. Hirschmuller;P.R. Innocent;J.M. Garibaldi

  • A multi-agent infrastructure and a service level agreement negotiation protocol for robust scheduling in grid computing

    D. Ouelhadj;J. Garibaldi;J. MacLaren;R. Sakellariou

  • Nonstationary Fuzzy Sets

    J.M. Garibaldi;M. Jaroszewski;S. Musikasuwan

  • Supervised machine learning algorithms for protein structure classification

    Pooja Jain;Jonathan M. Garibaldi;Jonathan D. Hirst

  • Idiotypic Immune Networks in Mobile-Robot Control

    A.M. Whitbrook;U. Aickelin;J.M. Garibaldi

  • The application of a dendritic cell algorithm to a robotic classifier

    Robert Oates;Julie Greensmith;Uwe Aickelin;Jonathan Garibaldi

Frequent Co-Authors

Uwe Aickelin
Uwe Aickelin University of Melbourne
Robert John
Robert John University of Nottingham
Ian O. Ellis
Ian O. Ellis University of Nottingham
Richard Hubbard
Richard Hubbard University of Nottingham
Natalio Krasnogor
Natalio Krasnogor Newcastle University
Emad A. Rakha
Emad A. Rakha University of Nottingham
Andrew R. Green
Andrew R. Green University of Nottingham
Francisco Chiclana
Francisco Chiclana De Montfort University
Edmund K. Burke
Edmund K. Burke Bangor University
Emmanuel Ifeachor
Emmanuel Ifeachor Plymouth University

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