Jaume Bacardit

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

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Jaume Bacardit

Professor of Artificial Intelligence, Newcastle University

Email verificata su newcastle.ac.uk - Home page

Bioinformatics Machine Learning Data Mining Big Data Evolutionary Computation


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1741	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	615	2021
Decoding human fetal liver haematopoiesis DM Popescu, RA Botting, E Stephenson, K Green, S Webb, L Jardine, ... Nature 574 (7778), 365-371, 2019	526	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	377	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	283	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	258	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	191	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	186	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	154	2012
Automated individual pig localisation, tracking and behaviour metric extraction using deep learning J Cowton, I Kyriazakis, J Bacardit IEEE Access 7, 108049-108060, 2019	129	2019
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	127	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	121	2015
Improving the scalability of rule-based evolutionary learning J Bacardit, EK Burke, N Krasnogor Memetic computing 1, 55-67, 2009	117	2009
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	108	2021
Large scale data mining using genetics-based machine learning J Bacardit, X Llorà Proceedings of the 11th Annual Conference Companion on Genetic and …, 2009	108	2009
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, M Butz Learning Classifier Systems, 282-290, 2007	104	2007
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	101	2020
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	95	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	94	2017

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