Jaume Bacardit

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Natalio KrasnogorProfessor of Computing Science and Synthetic Biology, Newcastle UniversityVerified email at ncl.ac.uk
Ali MobasheriProfessor of Musculoskeletal Biology, University of Oulu; Chief Researcher, IMC VilniusVerified email at oulu.fi
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Jonathan HirstProfessor of Computational Chemistry, University of NottinghamVerified email at nottingham.ac.uk
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Xavier LloraGoogle IncVerified email at google.com
Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Luciano SanchezProfessor of Computer Science, Oviedo UniversityVerified email at uniovi.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Verified email at uco.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénVerified email at ujaen.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerified email at nottingham.ac.uk
María FrancoSchool of Computer Science, University of NottinghamVerified email at cs.nott.ac.uk
Nicola LazzariniNewcastle UniversityVerified email at ncl.ac.uk
Enrico GlaabUniversity of LuxembourgVerified email at uni.lu
Michael StoutMachine Learning Researcher

Jaume Bacardit

Professor of Artificial Intelligence, Newcastle University

Verified email at newcastle.ac.uk - Homepage

Bioinformatics Machine Learning Data Mining Big Data Evolutionary Computation


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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	1708	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	556	2021
Decoding human fetal liver haematopoiesis DM Popescu, RA Botting, E Stephenson, K Green, S Webb, L Jardine, ... Nature 574 (7778), 365-371, 2019	491	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	343	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	281	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	247	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	190	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	184	2014
Pittsburgh genetics-based machine learning in the data mining era: Representations, generalization, and run-time J Bacardit PhD disertation, 2004	156	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	148	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
Automated individual pig localisation, tracking and behaviour metric extraction using deep learning J Cowton, I Kyriazakis, J Bacardit IEEE Access 7, 108049-108060, 2019	116	2019
Improving the scalability of rule-based evolutionary learning J Bacardit, EK Burke, N Krasnogor Memetic computing 1, 55-67, 2009	114	2009
Large scale data mining using genetics-based machine learning J Bacardit, X Llorà Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009	105	2009
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, M Butz Learning Classifier Systems, 282-290, 2007	104	2007
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	94	2003
Blood and immune development in human fetal bone marrow and Down syndrome L Jardine, S Webb, I Goh, M Quiroga Londoño, G Reynolds, M Mather, ... Nature 598 (7880), 327-331, 2021	92	2021
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	91	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	89	2020

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