KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13 (3), 307-318, 2009 | 1670 | 2009 |
Single-cell multi-omics analysis of the immune response in COVID-19 E Stephenson, G Reynolds, RA Botting, FJ Calero-Nieto, MD Morgan, ... Nature medicine 27 (5), 904-916, 2021 | 510 | 2021 |
Decoding human fetal liver haematopoiesis DM Popescu, RA Botting, E Stephenson, K Green, S Webb, L Jardine, ... Nature 574 (7778), 365-371, 2019 | 451 | 2019 |
Developmental cell programs are co-opted in inflammatory skin disease G Reynolds, P Vegh, J Fletcher, EFM Poyner, E Stephenson, I Goh, ... Science 371 (6527), eaba6500, 2021 | 307 | 2021 |
MRPR: A MapReduce solution for prototype reduction in big data classification I Triguero, D Peralta, J Bacardit, S García, F Herrera neurocomputing 150, 331-345, 2015 | 277 | 2015 |
Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology AL Swan, A Mobasheri, D Allaway, S Liddell, J Bacardit Omics: a journal of integrative biology 17 (12), 595-610, 2013 | 237 | 2013 |
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S Del Río, V López, J Bacardit, JM Benítez, F Herrera Knowledge-Based Systems 87, 69-79, 2015 | 184 | 2015 |
The eukaryotic N-end rule pathway: conserved mechanisms and diverse functions DJ Gibbs, J Bacardit, A Bachmair, MJ Holdsworth Trends in Cell Biology 24 (10), 603-611, 2014 | 179 | 2014 |
Pittsburgh genetics-based machine learning in the data mining era: Representations, generalization, and run-time J Bacardit PhD disertation, 2004 | 157 | 2004 |
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data E Glaab, J Bacardit, JM Garibaldi, N Krasnogor PloS one 7 (7), e39932, 2012 | 147 | 2012 |
Prediction of human population responses to toxic compounds by a collaborative competition F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ... Nature biotechnology 33 (9), 933-940, 2015 | 121 | 2015 |
Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets GW Bassel, E Glaab, J Marquez, MJ Holdsworth, J Bacardit The Plant Cell 23 (9), 3101-3116, 2011 | 121 | 2011 |
Improving the scalability of rule-based evolutionary learning J Bacardit, EK Burke, N Krasnogor Memetic computing 1, 55-67, 2009 | 112 | 2009 |
Automated individual pig localisation, tracking and behaviour metric extraction using deep learning J Cowton, I Kyriazakis, J Bacardit IEEE Access 7, 108049-108060, 2019 | 106 | 2019 |
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, M Butz Learning Classifier Systems, 282-290, 2007 | 106 | 2007 |
Large scale data mining using genetics-based machine learning J Bacardit, X Llorà Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009 | 103 | 2009 |
Bloat control and generalization pressure using the minimum description length principle for a pittsburgh approach learning classifier system J Bacardit, JM Garrell International Workshop on Learning Classifier Systems, 59-79, 2003 | 93 | 2003 |
Evolving multiple discretizations with adaptive intervals for a pittsburgh rule-based learning classifier system J Bacardit, JM Garrell Genetic and evolutionary computation conference, 1818-1831, 2003 | 85 | 2003 |
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women N Lazzarini, J Runhaar, AC Bay-Jensen, CS Thudium, ... Osteoarthritis and cartilage 25 (12), 2014-2021, 2017 | 82 | 2017 |
Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs A Alameer, I Kyriazakis, J Bacardit Scientific reports 10 (1), 13665, 2020 | 81 | 2020 |