Jonathan Fieldsend

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Richard EversonProfessor of Machine Learning, University of ExeterVerified email at exeter.ac.uk
Alma As-Aad Mohammad RahatLecturer in Big Data/Data Science, Swansea UniversityVerified email at swansea.ac.uk
vitaly schetininSenior Lecturer in Machine Learnig, University of BedfordshireVerified email at beds.ac.uk
Trevor BaileyEmeritus Professor of Applied Statistics, Exeter UniversityVerified email at exeter.ac.uk
David WalkerLecturer in Computer Science, University of PlymouthVerified email at plymouth.ac.uk
Adolfo HernándezHead of UCM Research Group "Statistical Methods and Big Data applied to Economy, Tourism..."Verified email at ucm.es
Steven DanielsResearch FellowVerified email at exeter.ac.uk
Gavin TaborProfessor of CFD, University of ExeterVerified email at ex.ac.uk
Khulood AlyahyaUniversity of ExeterVerified email at exeter.ac.uk
Ozgur AkmanSenior Lecturer in Applied Mathematics and Computational Systems BiologyVerified email at exeter.ac.uk
Geyong MinUniversity of ExeterVerified email at exeter.ac.uk
Richard AllmendingerSenior Lecturer at The University of Manchester, UKVerified email at manchester.ac.uk
George De AthUniversity of ExeterVerified email at exeter.ac.uk
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Karthik SindhyaFINNOPT Ltd.Verified email at finnopt.com
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolVerified email at wbs.ac.uk
Wolfgang KonenProfessor for Computer Science & Mathematics, Cologne University of Applied SciencesVerified email at th-koeln.de
Jovisa ZunicMathematical Institute - Serbian Academy of SciencesVerified email at mi.sanu.ac.rs
Christopher W SmithProfessor of Mechanical Engineering, University of ExeterVerified email at ex.ac.uk
Ken E. EvansUniversity of Exeter, UKVerified email at exeter.ac.uk

Jonathan Fieldsend

Professor of Computational Intelligence, University of Exeter

Verified email at exeter.ac.uk - Homepage

Multi-Objective Optimization Bayesian Optimization Evolutionary Computation Machine Learning Data Visualization


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A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence. JE Fieldsend, S Singh UK Workshop on Computational Intelligence (UKCI'02), 2002	434	2002
A MOPSO algorithm based exclusively on Pareto dominance concepts J Alvarez-Benitez, R Everson, J Fieldsend Evolutionary Multi-Criterion Optimization, 459-473, 2005	331	2005
Using unconstrained elite archives for multiobjective optimization JE Fieldsend, RM Everson, S Singh Evolutionary Computation, IEEE Transactions on 7 (3), 305-323, 2003	258	2003
Dominance-based multiobjective simulated annealing KI Smith, RM Everson, JE Fieldsend, C Murphy, R Misra Evolutionary Computation, IEEE Transactions on 12 (3), 323-342, 2008	172	2008
Multi-class ROC analysis from a multi-objective optimisation perspective RM Everson, JE Fieldsend Pattern Recognition Letters 27 (8), 918-927, 2006	128	2006
A framework of fog computing: Architecture, challenges, and optimization Y Liu, JE Fieldsend, G Min IEEE Access 5, 25445-25454, 2017	127	2017
Dominance measures for multi-objective simulated annealing KI Smith, RM Everson, JE Fieldsend Evolutionary Computation, 2004. CEC2004. Congress on 1, 23-30 Vol. 1, 2004	121	2004
Pareto evolutionary neural networks JE Fieldsend, S Singh IEEE Transactions on Neural Networks 16 (2), 338-354, 2005	116	2005
Visualising Mutually Non-dominating Solution Sets in Many-objective Optimisation DJ Walker, RM Everson, JE Fieldsend IEEE Transactions on Evolutionary Computation 17 (2), 165-184, 2013	109	2013
Multi-objective optimisation in the presence of uncertainty JE Fieldsend, RM Everson 2005 IEEE Congress on Evolutionary Computation 1, 243-250, 2005	99	2005
Cardinality constrained portfolio optimisation JE Fieldsend, J Matatko, M Peng International Conference on Intelligent Data Engineering and Automated …, 2004	92	2004
Multi-objective particle swarm optimisation methods JE Fieldsend University of Exeter, 2004	82	2004
Identification of masses in digital mammograms with MLP and RBF nets K Bovis, S Singh, J Fieldsend, C Pinder Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000	82	2000
Full elite sets for multi-objective optimisation RM Everson, JE Fieldsend, S Singh Adaptive Computing in Design and Manufacture V, 343-354, 2002	79	2002
Multiobjective optimization of safety related systems: An application to short-term conflict alert RM Everson, JE Fieldsend Evolutionary Computation, IEEE Transactions on 10 (2), 187-198, 2006	60	2006
Confident interpretation of Bayesian decision tree ensembles for clinical applications V Schetinin, JE Fieldsend, D Partridge, TJ Coats, WJ Krzanowski, ... IEEE Transactions on Information Technology in Biomedicine 11 (3), 312-319, 2007	49	2007
The Rolling Tide Evolutionary Algorithm: A Multi-Objective Optimiser for Noisy Optimisation Problems J Fieldsend, R Everson IEEE Transactions on Evolutionary Computation 19 (1), 103-117, 2015	47	2015
Running up those hills: Multi-modal search with the niching migratory multi-swarm optimiser JE Fieldsend 2014 IEEE Congress on Evolutionary Computation (CEC), 2593-2600, 2014	47	2014
Notes on shape orientation where the standard method does not work J Žunić, L Kopanja, JE Fieldsend Pattern Recognition 39 (5), 856-865, 2006	44	2006
Formulation and comparison of multi-class ROC surfaces JE Fieldsend, RM Everson Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005	34	2005

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