Jaume Bacardit

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Professor of Artificial Intelligence

Newcastle University

United Kingdom

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Jaume Bacardit is a Professor of Artificial Intelligence at Newcastle University, UK. His research incorporates various aspects of artificial intelligence, with recent articles focusing on explainable AI, evolutionary computation, and applications in healthcare, particularly in relation to osteoarthritis and rheumatoid arthritis. His work aims to advance the understanding of intelligent systems and optimize predictive models in clinical settings.

Recent Grants

Grant: Close

Synthetic Portabolomics: Leading the way at the crossroads of the Digital and the Bio Economies

Open Date: 2016-05-11

Close Date: 2021-05-10

Grant: Close

CRITiCaL - Combatting cRiminals In The CLoud

Open Date: 2015-08-31

Close Date: 2020-08-30

Grant: Close

Principled Application of Learning Classifier Systems to Large-Scale Challenging Datasets (LCSxLCD)

Open Date: 2010-05-31

Close Date: 2011-08-30

Articles (15)

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2020

Collaborators (14)

Paolo Missier

Professor

Newcastle University

UNITED KINGDOM

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Ting Hu

Queen's University

CANADA

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Ali Alameer

The Queen's University Belfast

UNITED KINGDOM

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Margreet Kloppenburg

Full Professor

Leiden University Medical Center

NETHERLANDS

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Ossama Alshabrawy

Assistant Professor

Northumbria University

UNITED KINGDOM

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Said el Bouhaddani

assistant professor

University Medical Center Groningen

NETHERLANDS

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Alexander Brownlee

Senior Lecturer

University of Stirling

UNITED KINGDOM

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Rob Janssen

Associate Professor Knee Reconstruction

Eindhoven University of Technology

NETHERLANDS

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Jos Runhaar

Erasmus University Rotterdam

NETHERLANDS

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Michael Catt

Emeritus Professor

Newcastle University

UNITED KINGDOM

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John A.W. McCall

Robert Gordon University

UNITED KINGDOM

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Niki van Stein

Leiden University

NETHERLANDS

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Giovanni Iacca

Associate Professor

University of Trento

ITALY

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David Walker

Lecturer in Computer Science

University of Plymouth

UNITED KINGDOM

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Jaume Bacardit

Research Interests

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About

Recent Grants

Articles (15)

Omics-driven insights into the molecular pathways driving osteoarthritis pathogenesis

Introduction to the Special Issue on Explainable AI in Evolutionary Computation—Part 2

Introduction to the Special Issue on Explainable AI in Evolutionary Computation

Using explainable artificial intelligence to predict and forestall flare in rheumatoid arthritis

Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems

A machine learning approach reveals features related to clinicians' diagnosis of clinically relevant knee osteoarthritis

A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis

Prediction of growth in grower-finisher pigs using recurrent neural networks

Curating a longitudinal research resource using linked primary care EHR data—a UK Biobank case study

Identification of CNGB1 as a Predictor of Response to Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer

Baseline clinical characteristics of predicted structural and pain progressors in the IMI-APPROACH knee OA cohort

Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis

Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort

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

Deep learning-based automated speech detection as a marker of social functioning in late-life depression

Collaborators (14)

Paolo Missier

Ting Hu

Ali Alameer

Margreet Kloppenburg

Ossama Alshabrawy

Said el Bouhaddani

Alexander Brownlee

Rob Janssen

Jos Runhaar

Michael Catt

John A.W. McCall

Niki van Stein

Giovanni Iacca

David Walker

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