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Browsing publications by Dr Jaume Bacardit.

Newcastle AuthorsTitleYearFull text
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
Dr Federico Angelini
Dr Paweł Widera
Dr Jaume Bacardit
Osteoarthritis endotype discovery via clustering of biochemical marker data2022
Professor John Loughlin
Dr Paweł Widera
Dr Jaume Bacardit
Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort2022
Dr 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
Yiming Huang
Dr Wendy Smith
Professor Colin Harwood
Professor Anil Wipat
Dr Jaume Bacardit
et al.
Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis2021
Ossama Alshabrawy
Dr Daniel Stow
Emeritus Professor Nicol Ferrier
Dr Rosin McNaney
Dan Jackson
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
Emily Stephenson
et al.
Developmental cell programs are co-opted in inflammatory skin disease2021
Dr Jaume Bacardit
Dr Shirley Coleman
Insight from data analytics in a facilities management company2021
Artur Sokolovsky
Professor Thomas Gross
Dr Jaume Bacardit
Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow2021
Amar Rajgor
Professor Boguslaw Obara
Dr Jaume Bacardit
James O'Hara
David Hamilton
et al.
The application of radiomics in laryngeal cancer2021
Benjamin Lam
Professor Mike Catt
Dr 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
Dr 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
Dr Jaume Bacardit
et al.
Automatic recognition of feeding and foraging behaviour in pigs using deep learning2020
Dr Maria Franco Gaviria
Professor Natalio Krasnogor
Dr Jaume Bacardit
Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification2020
Dr Paweł Widera
Professor John Loughlin
Dr Jaume Bacardit
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data2020
Dr Harold Fellermann
Dr Jaume Bacardit
Dr Angel Goni-Moreno
Artificial life in a challenged world2019
Dr Jake Cowton
Professor Ilias Kyriazakis
Dr Jaume Bacardit
Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning2019
Dr Dorin-Mirel Popescu
Dr Rachel Botting
Emily Stephenson
Dr Kile Green
Dr Simone Webb
et al.
Decoding human fetal liver haematopoiesis2019
Dr Wayne Smith
Dr Shirley Coleman
Dr Jaume Bacardit
Insight from data analytics with an automotive aftermarket SME2019
Dr Jaume Bacardit
Dr Nicola Lazzarini
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach2019
Dr Harold Fellermann
Dr Jaume Bacardit
Dr Angel Goni-Moreno
The 2019 Conference on Artificial Life2019
Dr Harold Fellermann
Dr 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
Dr Jaume Bacardit
A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors2018
Dr 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
Dr Jaume Bacardit
How data can change the automotive aftermarket2018
Dr Jaume Bacardit
Preface2018
Dr Nicola Lazzarini
Dr Jaume Bacardit
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women2017
Nicola Lazzarini
Dr Jaume Bacardit
Characterising the influence of rule-based knowledge representations in biological knowledge extraction from transcriptomics data2017
Dr Jaume Bacardit
Preface2017
Dr Nicola Lazzarini
Dr Jaume Bacardit
RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers2017
Dr Jaume Bacardit
Scaling-up multiobjective evolutionary clustering algorithms using stratification2017
Dr Jaume Bacardit
Aggravated osteoarthritis development in mice transgenic for human C-reactive protein on a high fat diet2016
Dr Jaume Bacardit
Applications of evolutionary computation: 19th European conference, evoapplications 2016 Porto, Portugal, march 30 – april 1, 2016 proceedings, part I2016
Dr 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
Dr Jaume Bacardit
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs2016
Dr Jaume Bacardit
Large-scale experimental evaluation of GPU strategies for evolutionary machine learning2016
Dr Jaume Bacardit
Metabolic profiles associated with radiographic knee osteoarthritis in a population-based cohort of middle-aged women2016
Dr Jaume Bacardit
A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data2015
Dr Jaume Bacardit
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets2015
Dr Jaume Bacardit
MRPR: A MapReduce solution for prototype reduction in big data classification2015
Dr Jaume Bacardit
Nicola Lazzarini
Prediction of human population responses to toxic compounds by a collaborative competition2015
Dr Jaume Bacardit
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem2015
Dr Jaume Bacardit
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation2014
Dr 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
Dr Jaume Bacardit
Dr Paweł Widera
Professor Natalio Krasnogor
Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly2014
Dr Jaume Bacardit
Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering2014
Dr Jaume Bacardit
Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum2014
Dr Jaume Bacardit
The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions2014
Dr Jaume Bacardit
WeFold: A coopetition for protein structure prediction2014
Dr 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
Dr Jaume Bacardit
Application of Machine Learning to Proteomics Data: Classification Biomarker Identification in Postgenomics Biology2013
Professor Natalio Krasnogor
Dr Jaume Bacardit
GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning2013
Dr Jaume Bacardit
Professor Natalio Krasnogor
Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features2012
Dr Jaume Bacardit
Reduced Neonatal Mortality in Meishan Piglets: A Role for Hepatic Fatty Acids?2012
Dr Jaume Bacardit
Professor Natalio Krasnogor
Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization;Sample Classification of Cancer Gene Expression Data2012
Dr Jaume Bacardit
Professor Natalio Krasnogor
Automated Alphabet Reduction for Protein Datasets2009