Jaume Bacardit

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

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Jaume Bacardit

Professor of Artificial Intelligence, Newcastle University

Correu electrònic verificat a newcastle.ac.uk - Pàgina d'inici

Bioinformatics Machine Learning Data Mining Big Data Evolutionary Computation


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	1719	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	578	2021
Decoding human fetal liver haematopoiesis DM Popescu, RA Botting, E Stephenson, K Green, S Webb, L Jardine, ... Nature 574 (7778), 365-371, 2019	507	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	354	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	250	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	187	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	149	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	126	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	122	2019
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	116	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	107	2009
Data mining in learning classifier systems: comparing XCS with GAssist J Bacardit, M Butz Learning Classifier Systems, 282-290, 2007	104	2007
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	98	2021
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	95	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	93	2017

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