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, 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	1613	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	422	2021
Decoding human fetal liver haematopoiesis DM Popescu, RA Botting, E Stephenson, K Green, S Webb, L Jardine, ... Nature 574 (7778), 365-371, 2019	400	2019
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	264	2015
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	244	2021
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	218	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	178	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	174	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	143	2012
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	117	2011
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	112	2015
Improving the scalability of rule-based evolutionary learning J Bacardit, EK Burke, N Krasnogor Memetic computing 1, 55-67, 2009	110	2009
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, M Butz Learning Classifier Systems, 282-290, 2007	108	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	100	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	92	2003
Automated individual pig localisation, tracking and behaviour metric extraction using deep learning J Cowton, I Kyriazakis, J Bacardit IEEE Access 7, 108049-108060, 2019	86	2019
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	84	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	77	2017
WeFold: a coopetition for protein structure prediction GA Khoury, A Liwo, F Khatib, H Zhou, G Chopra, J Bacardit, LO Bortot, ... Proteins: Structure, Function, and Bioinformatics 82 (9), 1850-1868, 2014	71	2014

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