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 |
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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 |
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Professor Jaume Bacardit
| From biochemical markers to molecular endotypes of osteoarthritis: a review on validated biomarkers | 2024 |
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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 |
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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 |
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Professor Jaume Bacardit
| A machine learning approach reveals features related to clinicians' diagnosis of clinically relevant knee osteoarthritis | 2023 |
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Dr Sadaf Iqbal Professor Jaume Bacardit Dr Bridget Griffiths Professor John Allen
| Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals | 2023 |
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Dr Shahid Iqbal Professor Jaume Bacardit Dr Bridget Griffiths Professor John Allen
| Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals. | 2023 |
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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 |
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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 |
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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 |
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Professor Jaume Bacardit
| Machine-learning predicted and actual 2-year structural progression in the IMI-APPROACH cohort | 2023 |
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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 |
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Professor Jaume Bacardit
| Test–retest precision and longitudinal cartilage thickness loss in the IMI-APPROACH cohort | 2023 |
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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 |
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Professor Jaume Bacardit Dr Shirley Coleman
| Insight from data analytics in a facilities management company | 2022 |
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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 |
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Dr Federico Angelini Dr Paweł Widera Professor Jaume Bacardit
| Osteoarthritis endotype discovery via clustering of biochemical marker data | 2022 |
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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 |
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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 |
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Professor Jaume Bacardit Dr Paweł Widera
| Baseline clinical characteristics of predicted structural and pain progressors in the IMI-APPROACH knee OA cohort | 2021 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Amar Rajgor David McCulloch Professor Boguslaw Obara Professor Jaume Bacardit Dr Tamir Ali et al. | The application of radiomics in laryngeal cancer | 2021 |
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Amar Rajgor Professor Boguslaw Obara Professor Jaume Bacardit James O'Hara David Hamilton et al. | The application of radiomics in laryngeal cancer | 2021 |
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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 |
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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 |
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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 |
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Dr Maria Franco Gaviria Professor Natalio Krasnogor Professor Jaume Bacardit
| Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification | 2020 |
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Dr Paweł Widera Professor John Loughlin Professor Jaume Bacardit
| Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data | 2020 |
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Dr Harold Fellermann Professor Jaume Bacardit Dr Angel Goni-Moreno
| Artificial life in a challenged world | 2019 |
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Dr Jake Cowton Professor Ilias Kyriazakis Professor Jaume Bacardit
| Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning | 2019 |
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Dr Dorin-Mirel Popescu Dr Rachel Botting Dr Emily Stephenson Dr Kile Green Dr Simone Webb et al. | Decoding human fetal liver haematopoiesis | 2019 |
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Dr Wayne Smith Dr Shirley Coleman Professor Jaume Bacardit
| Insight from data analytics with an automotive aftermarket SME | 2019 |
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Professor Jaume Bacardit Dr Nicola Lazzarini
| Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach | 2019 |
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Dr Harold Fellermann Professor Jaume Bacardit Dr Angel Goni-Moreno
| The 2019 Conference on Artificial Life | 2019 |
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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 |
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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 |
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Professor Jaume Bacardit
| An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12 | 2018 |
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Dr Wayne Smith Dr Shirley Coleman Professor Jaume Bacardit
| How data can change the automotive aftermarket | 2018 |
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Professor Jaume Bacardit
| Preface | 2018 |
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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 |
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Nicola Lazzarini Professor Jaume Bacardit
| Characterising the influence of rule-based knowledge representations in biological knowledge extraction from transcriptomics data | 2017 |
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Professor Jaume Bacardit
| Preface | 2017 |
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Dr Nicola Lazzarini Professor Jaume Bacardit
| RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers | 2017 |
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Professor Jaume Bacardit
| Scaling-up multiobjective evolutionary clustering algorithms using stratification | 2017 |
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Professor Jaume Bacardit
| Aggravated osteoarthritis development in mice transgenic for human C-reactive protein on a high fat diet | 2016 |
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Professor Jaume Bacardit
| Applications of evolutionary computation: 19th European conference, evoapplications 2016 Porto, Portugal, march 30 – april 1, 2016 proceedings, part I | 2016 |
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Professor Jaume Bacardit
| Applications of evolutionary computation: 19th European conference, Evoapplications 2016 Porto, Portugal, March 30 – April 1, 2016 proceedings, part II | 2016 |
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Nicola Lazzarini Dr Paweł Widera Dr Stuart Williamson Professor Rakesh Heer Professor Natalio Krasnogor et al. | Functional networks inference from machine learning models | 2016 |
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Pablo Gutierrez Perez Professor Jaume Bacardit
| GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs | 2016 |
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Professor Jaume Bacardit
| Large-scale experimental evaluation of GPU strategies for evolutionary machine learning | 2016 |
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Professor Jaume Bacardit
| Metabolic profiles associated with radiographic knee osteoarthritis in a population-based cohort of middle-aged women | 2016 |
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Professor Jaume Bacardit
| A machine learning heuristic to identify biologically relevant and minimal biomarker panels from omics data | 2015 |
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Professor Jaume Bacardit
| Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets | 2015 |
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Professor Jaume Bacardit
| MRPR: A MapReduce solution for prototype reduction in big data classification | 2015 |
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Professor Jaume Bacardit Nicola Lazzarini
| Prediction of human population responses to toxic compounds by a collaborative competition | 2015 |
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Professor Jaume Bacardit
| ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem | 2015 |
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Professor Jaume Bacardit
| A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation | 2014 |
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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 |
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Professor Jaume Bacardit Dr Paweł Widera Professor Natalio Krasnogor
| Heuristic for Maximizing DNA Reuse in Synthetic DNA Library Assembly | 2014 |
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Professor Jaume Bacardit
| Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering | 2014 |
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Professor Jaume Bacardit
| Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum | 2014 |
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Professor Jaume Bacardit
| The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions | 2014 |
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Professor Jaume Bacardit
| WeFold: A coopetition for protein structure prediction | 2014 |
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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 |
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Professor Jaume Bacardit
| Application of Machine Learning to Proteomics Data: Classification Biomarker Identification in Postgenomics Biology | 2013 |
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Professor Natalio Krasnogor Professor Jaume Bacardit
| GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning | 2013 |
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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 |
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Professor Jaume Bacardit
| Reduced Neonatal Mortality in Meishan Piglets: A Role for Hepatic Fatty Acids? | 2012 |
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Professor Jaume Bacardit Professor Natalio Krasnogor
| Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization;Sample Classification of Cancer Gene Expression Data | 2012 |
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Professor Jaume Bacardit Professor Natalio Krasnogor
| Automated Alphabet Reduction for Protein Datasets | 2009 |
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