Publications by Professor Jaume Bacardit - ePrints

Browsing publications by Professor Jaume Bacardit.

Newcastle Authors	Title	Year
Claire Owen Professor Jaume Bacardit Emerita Professor Julia Newton Dr James Frith	Artificial intelligence driven clustering of blood pressure profiles reveals frailty in orthostatic hypertension	2024
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 review	2024
Dr Cameron Kirk Dr Lisa Alcock Dr Hugo Hiden Professor Lynn Rochester Dr Silvia Del Din et al.	Correction to: Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device (Scientific Reports, (2024), 14, 1, (1754), 10.1038/s41598-024-51766-5)	2024
Dr Conor Turner Professor Jaume Bacardit	Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study	2024
Professor Jaume Bacardit	From biochemical markers to molecular endotypes of osteoarthritis: a review on validated biomarkers	2024
Professor Jaume Bacardit	Longitudinal stability of molecular endotypes of knee osteoarthritis patients	2024
Dr Yiming Huang Professor Anil Wipat Professor Jaume Bacardit	Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains	2024
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 subtilis	2023
Professor Jaume Bacardit	A machine learning approach reveals features related to clinicians' diagnosis of clinically relevant knee osteoarthritis	2023
Dr Sadaf Iqbal Professor Jaume Bacardit Dr Bridget Griffiths Professor John Allen	Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals	2023
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 study	2023
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 trials	2023
Dr Christian Taylor Dr Jonathan Guy Professor Jaume Bacardit	Estimating individual-level pig growth trajectories from group-level weight time series using machine learning	2023
Professor Jaume Bacardit	Machine-learning predicted and actual 2-year structural progression in the IMI-APPROACH cohort	2023
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 list	2023
Professor Jaume Bacardit	Test–retest precision and longitudinal cartilage thickness loss in the IMI-APPROACH cohort	2023
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 study	2022
Professor Jaume Bacardit Dr Shirley Coleman	Insight from data analytics in a facilities management company	2022
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 Nanostructures	2022
Dr Federico Angelini Dr Paweł Widera Professor Jaume Bacardit	Osteoarthritis endotype discovery via clustering of biochemical marker data	2022
Professor John Loughlin Dr Paweł Widera Professor Jaume Bacardit	Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort	2022
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 Diseases	2022
Professor Jaume Bacardit Dr Paweł Widera	Baseline clinical characteristics of predicted structural and pain progressors in the IMI-APPROACH knee OA cohort	2021
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 syndrome	2021
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 subtilis	2021
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 depression	2021
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 disease	2021
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 Overflow	2021
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 cancer	2021
Amar Rajgor Professor Boguslaw Obara Professor Jaume Bacardit James O'Hara David Hamilton et al.	The application of radiomics in laryngeal cancer	2021
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 cohort	2021
Dr ALI Alameer Professor Ilias Kyriazakis Professor Jaume Bacardit	Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs	2020
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 learning	2020
Dr Maria Franco Gaviria Professor Natalio Krasnogor Professor Jaume Bacardit	Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification	2020
Dr Paweł Widera Professor John Loughlin Professor Jaume Bacardit	Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data	2020
Dr Harold Fellermann Professor Jaume Bacardit Dr Angel Goni-Moreno	Artificial life in a challenged world	2019
Dr Jake Cowton Professor Ilias Kyriazakis Professor Jaume Bacardit	Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning	2019
Dr Dorin-Mirel Popescu Dr Rachel Botting Dr Emily Stephenson Dr Kile Green Dr Simone Webb et al.	Decoding human fetal liver haematopoiesis	2019
Dr Wayne Smith Dr Shirley Coleman Professor Jaume Bacardit	Insight from data analytics with an automotive aftermarket SME	2019
Professor Jaume Bacardit Dr Nicola Lazzarini	Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach	2019
Dr Harold Fellermann Professor Jaume Bacardit Dr Angel Goni-Moreno	The 2019 Conference on Artificial Life	2019
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 community	2019
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 Sensors	2018
Professor Jaume Bacardit Dr Otti Croze	An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12	2018
Dr Wayne Smith Dr Shirley Coleman Professor Jaume Bacardit	How data can change the automotive aftermarket	2018
Professor Jaume Bacardit	Preface	2018
Dr Nicola Lazzarini Professor Jaume Bacardit	A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women	2017
Nicola Lazzarini Professor Jaume Bacardit	Characterising the influence of rule-based knowledge representations in biological knowledge extraction from transcriptomics data	2017
Professor Jaume Bacardit	Preface	2017
Dr Nicola Lazzarini Professor Jaume Bacardit	RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers	2017
Professor Jaume Bacardit	Scaling-up multiobjective evolutionary clustering algorithms using stratification	2017
Professor Jaume Bacardit	Aggravated osteoarthritis development in mice transgenic for human C-reactive protein on a high fat diet	2016
Professor Jaume Bacardit	Applications of evolutionary computation: 19th European conference, evoapplications 2016 Porto, Portugal, march 30 – april 1, 2016 proceedings, part I	2016
Professor Jaume Bacardit	Applications of evolutionary computation: 19th European conference, Evoapplications 2016 Porto, Portugal, March 30 – April 1, 2016 proceedings, part II	2016
Nicola Lazzarini Dr Paweł Widera Dr Stuart Williamson Professor Rakesh Heer Professor Natalio Krasnogor et al.	Functional networks inference from machine learning models	2016
Pablo Gutierrez Perez Professor Jaume Bacardit	GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs	2016
Professor Jaume Bacardit	Large-scale experimental evaluation of GPU strategies for evolutionary machine learning	2016
Professor Jaume Bacardit	Metabolic profiles associated with radiographic knee osteoarthritis in a population-based cohort of middle-aged women	2016
Professor Jaume Bacardit	A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data	2015
Professor Jaume Bacardit	Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets	2015
Professor Jaume Bacardit	MRPR: A MapReduce solution for prototype reduction in big data classification	2015
Professor Jaume Bacardit Nicola Lazzarini	Prediction of human population responses to toxic compounds by a collaborative competition	2015
Professor Jaume Bacardit	ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem	2015
Professor Jaume Bacardit	A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation	2014
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 Example	2014
Professor Jaume Bacardit Dr Paweł Widera Professor Natalio Krasnogor	Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly	2014
Professor Jaume Bacardit	Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering	2014
Professor Jaume Bacardit	Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum	2014
Professor Jaume Bacardit	The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions	2014
Professor Jaume Bacardit	WeFold: A coopetition for protein structure prediction	2014
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 learning	2013
Professor Jaume Bacardit	Application of Machine Learning to Proteomics Data: Classification Biomarker Identification in Postgenomics Biology	2013
Professor Natalio Krasnogor Professor Jaume Bacardit	GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning	2013
Professor Jaume Bacardit Professor Natalio Krasnogor	Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features	2012
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 Data	2012
Professor Jaume Bacardit Professor Natalio Krasnogor	Automated Alphabet Reduction for Protein Datasets	2009