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Browsing publications by Professor Jaume Bacardit.

Newcastle AuthorsTitleYearFull text
Lena Schmidt
Saleh Mohamed
Dr Nick Meader
Professor Jaume Bacardit
Professor Dawn Craig
et al.
Automated data analysis of unstructured grey literature in health research: A mapping review2024
Conor Turner
Professor Jaume Bacardit
Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study2024
Professor Jaume Bacardit
From biochemical markers to molecular endotypes of osteoarthritis: a review on validated biomarkers2024
Dr Yiming Huang
Professor Anil Wipat
Professor Jaume Bacardit
Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains2024
Dr Yiming Huang
Professor Anil Wipat
Professor Jaume Bacardit
A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis2023
Professor Jaume Bacardit
A machine learning approach reveals features related to clinicians' diagnosis of clinically relevant knee osteoarthritis2023
Dr Sadaf Iqbal
Professor Jaume Bacardit
Dr Bridget Griffiths
Professor John Allen
Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals2023
Dr Shahid Iqbal
Professor Jaume Bacardit
Dr Bridget Griffiths
Professor John Allen
Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals.2023
Sadaf Iqbal
Dr Sharad Agarwal
Emeritus Professor Alan Murray
Professor Jaume Bacardit
Professor John Allen
et al.
Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study2023
Dr Paweł Widera
Dr Samuel Danso
Professor John Loughlin
Professor Jaume Bacardit
Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials2023
Dr Christian Taylor
Dr Jonathan Guy
Professor Jaume Bacardit
Estimating individual-level pig growth trajectories from group-level weight time series using machine learning2023
Professor Jaume Bacardit
Machine-learning predicted and actual 2-year structural progression in the IMI-APPROACH cohort2023
Dr Benjamin Shirt-Ediss
Dr Jordan Connolly
Dr Emanuela Torelli
Dr Silvia Navarro
Professor Jaume Bacardit
et al.
Reverse engineering DNA origami nanostructure designs from raw scaffold and staple sequence list2023
Professor Jaume Bacardit
Test–retest precision and longitudinal cartilage thickness loss in the IMI-APPROACH cohort2023
Philip Darke
Dr Sophie Cassidy
Professor Mike Catt
Professor Roy Taylor
Professor Paolo Missier
et al.
Curating a longitudinal research resource using linked primary care EHR data-a UK Biobank case study2022
Professor Jaume Bacardit
Dr Shirley Coleman
Insight from data analytics in a facilities management company2022
Dr Benjamin Shirt-Ediss
Dr Jordan Connolly
Dr Emanuela Torelli
Dr Silvia Navarro
Professor Jaume Bacardit
et al.
Multi-Objective Sequence Selection for Scaffolded Origami Nanostructures2022
Dr Federico Angelini
Dr Paweł Widera
Professor Jaume Bacardit
Osteoarthritis endotype discovery via clustering of biochemical marker data2022
Professor John Loughlin
Dr Paweł Widera
Professor Jaume Bacardit
Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort2022
David Steel
Dr Will Innes
Professor Jaume Bacardit
Professor Anya Hurlbert
Professor Jenny Read
et al.
Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases2022
Professor Jaume Bacardit
Dr Paweł Widera
Baseline clinical characteristics of predicted structural and pain progressors in the IMI-APPROACH knee OA cohort2021
Dr Laura Jardine
Dr Simone Webb
Issac Goh
Dr Gary Reynolds
Dr Michael Mather
et al.
Blood and immune development in human fetal bone marrow and Down syndrome2021
Dr Yiming Huang
Dr Wendy Smith
Professor Colin Harwood
Professor Anil Wipat
Professor Jaume Bacardit
et al.
Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis2021
Dr Beth Little
Ossama Alshabrawy
Dr Daniel Stow
Emeritus Professor Nicol Ferrier
Dr Rosin McNaney
et al.
Deep learning-based automated speech detection as a marker of social functioning in late-life depression2021
Dr Gary Reynolds
Dr Peter Vegh
Dr James Fletcher
Dr Beth Poyner
Dr Emily Stephenson
et al.
Developmental cell programs are co-opted in inflammatory skin disease2021
Artur Sokolovsky
Professor Thomas Gross
Professor Jaume Bacardit
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow2021
Dr Jordan Connolly
Dr Benjamin Shirt-Ediss
Dr Emanuela Torelli
Leanne Hobbs
Professor Jaume Bacardit
et al.
NAOMEE: Nucleic Acid Origami Minimal Exchange Format.2021
Amar Rajgor
David McCulloch
Professor Boguslaw Obara
Professor Jaume Bacardit
Dr Tamir Ali
et al.
The application of radiomics in laryngeal cancer2021
Amar Rajgor
Professor Boguslaw Obara
Professor Jaume Bacardit
James O'Hara
David Hamilton
et al.
The application of radiomics in laryngeal cancer2021
Dr Benjamin Lam
Professor Mike Catt
Professor Jaume Bacardit
Philip Darke
Ossama Alshabrawy
et al.
Using wearable activity trackers to predict type 2 diabetes: Machine learning–based cross-sectional study of the UK Biobank accelerometer cohort2021
Dr ALI Alameer
Professor Ilias Kyriazakis
Professor Jaume Bacardit
Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs2020
Dr ALI Alameer
Professor Ilias Kyriazakis
Dr Hillary Dalton
Dr Amy Miller
Professor Jaume Bacardit
et al.
Automatic recognition of feeding and foraging behaviour in pigs using deep learning2020
Dr Maria Franco Gaviria
Professor Natalio Krasnogor
Professor Jaume Bacardit
Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification2020
Dr Paweł Widera
Professor John Loughlin
Professor Jaume Bacardit
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data2020
Dr Harold Fellermann
Professor Jaume Bacardit
Dr Angel Goni-Moreno
Artificial life in a challenged world2019
Dr Jake Cowton
Professor Ilias Kyriazakis
Professor Jaume Bacardit
Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning2019
Dr Dorin-Mirel Popescu
Dr Rachel Botting
Dr Emily Stephenson
Dr Kile Green
Dr Simone Webb
et al.
Decoding human fetal liver haematopoiesis2019
Dr Wayne Smith
Dr Shirley Coleman
Professor Jaume Bacardit
Insight from data analytics with an automotive aftermarket SME2019
Professor Jaume Bacardit
Dr Nicola Lazzarini
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach2019
Dr Harold Fellermann
Professor Jaume Bacardit
Dr Angel Goni-Moreno
The 2019 Conference on Artificial Life2019
Dr Harold Fellermann
Professor Jaume Bacardit
Dr Angel Goni-Moreno
Towards low-carbon conferencing: Acceptance of virtual conferencing solutions and other sustainability measures in the ALIFE community2019
Dr Jake Cowton
Professor Ilias Kyriazakis
Dr Thomas Ploetz
Professor Jaume Bacardit
A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors2018
Professor Jaume Bacardit
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP122018
Dr Wayne Smith
Dr Shirley Coleman
Professor Jaume Bacardit
How data can change the automotive aftermarket2018
Professor Jaume Bacardit
Preface2018
Dr Nicola Lazzarini
Professor Jaume Bacardit
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women2017
Nicola Lazzarini
Professor Jaume Bacardit
Characterising the influence of rule-based knowledge representations in biological knowledge extraction from transcriptomics data2017
Professor Jaume Bacardit
Preface2017
Dr Nicola Lazzarini
Professor Jaume Bacardit
RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers2017
Professor Jaume Bacardit
Scaling-up multiobjective evolutionary clustering algorithms using stratification2017
Professor Jaume Bacardit
Aggravated osteoarthritis development in mice transgenic for human C-reactive protein on a high fat diet2016
Professor Jaume Bacardit
Applications of evolutionary computation: 19th European conference, evoapplications 2016 Porto, Portugal, march 30 – april 1, 2016 proceedings, part I2016
Professor Jaume Bacardit
Applications of evolutionary computation: 19th European conference, Evoapplications 2016 Porto, Portugal, March 30 – April 1, 2016 proceedings, part II2016
Nicola Lazzarini
Dr Paweł Widera
Dr Stuart Williamson
Professor Rakesh Heer
Professor Natalio Krasnogor
et al.
Functional networks inference from machine learning models2016
Pablo Gutierrez Perez
Professor Jaume Bacardit
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs2016
Professor Jaume Bacardit
Large-scale experimental evaluation of GPU strategies for evolutionary machine learning2016
Professor Jaume Bacardit
Metabolic profiles associated with radiographic knee osteoarthritis in a population-based cohort of middle-aged women2016
Professor Jaume Bacardit
A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data2015
Professor Jaume Bacardit
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets2015
Professor Jaume Bacardit
MRPR: A MapReduce solution for prototype reduction in big data classification2015
Professor Jaume Bacardit
Nicola Lazzarini
Prediction of human population responses to toxic compounds by a collaborative competition2015
Professor Jaume Bacardit
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem2015
Professor Jaume Bacardit
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation2014
Professor Jaume Bacardit
Dr Paweł Widera
Dr Nicola Lazzarini
Professor Natalio Krasnogor
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example2014
Professor Jaume Bacardit
Dr Paweł Widera
Professor Natalio Krasnogor
Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly2014
Professor Jaume Bacardit
Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering2014
Professor Jaume Bacardit
Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum2014
Professor Jaume Bacardit
The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions2014
Professor Jaume Bacardit
WeFold: A coopetition for protein structure prediction2014
Professor Jaume Bacardit
Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning2013
Professor Jaume Bacardit
Application of Machine Learning to Proteomics Data: Classification Biomarker Identification in Postgenomics Biology2013
Professor Natalio Krasnogor
Professor Jaume Bacardit
GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning2013
Professor Jaume Bacardit
Professor Natalio Krasnogor
Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features2012
Professor Jaume Bacardit
Reduced Neonatal Mortality in Meishan Piglets: A Role for Hepatic Fatty Acids?2012
Professor Jaume Bacardit
Professor Natalio Krasnogor
Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization;Sample Classification of Cancer Gene Expression Data2012
Professor Jaume Bacardit
Professor Natalio Krasnogor
Automated Alphabet Reduction for Protein Datasets2009