John McCall

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Dr. Andrei PetrovskiRobert Gordon University, AberdeenVerified email at comp.rgu.ac.uk
Alexander E.I. BrownleeSenior Lecturer, University of Stirling, previously Loughborough, Robert GordonVerified email at cs.stir.ac.uk
Siddhartha (Sid) ShakyaEBTIC, Khalifa University and BTVerified email at bt.com
Tien Thanh NguyenSenior Research FellowVerified email at rgu.ac.uk
Olivier Regnier-CoudertOctopizeVerified email at octopize.io
Alan Wee-Chung LiewProfessor, School of ICT, Griffith UniversityVerified email at griffith.edu.au
Noura Al MoubayedAssociate Professor in Machine Learning, Department of Computer Science, Durham UniversityVerified email at dur.ac.uk
Gilbert OwusuBT PLCVerified email at bt.com
Anh Vu LuongPhD in Computer ScienceVerified email at griffithuni.edu.au
Benjamin LacroixRobert Gordon UniversityVerified email at rgu.ac.uk
Lee A. ChristieResearch Fellow, Robert Gordon UniversityVerified email at rgu.ac.uk
Mayowa AyodeleD-wave Quantum IncVerified email at dwavesys.com
Ciprian ZavoianuResearcher at Robert Gordon University AberdeenVerified email at rgu.ac.uk
David CorneProfessor of Computer Science, Heriot-Watt University, EdinburghVerified email at macs.hw.ac.uk
George M. CoghillEmeritus Professor, University of AberdeenVerified email at abdn.ac.uk
Christopher MacLeodUniversity of the Highlands and Islands, Lews Castle College CampusVerified email at uhi.ac.uk
David WalkerSenior Lecturer in Computer Science, University of ExeterVerified email at exeter.ac.uk
Stefano CagnoniUniversity of ParmaVerified email at ce.unipr.it
Giovanni IaccaUniversity of TrentoVerified email at unitn.it
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk

John McCall

Professorial Lead in Predictive Data Analytics, National Subsea Centre, Robert Gordon University

Verified email at rgu.ac.uk

Artificial Intelligence Evolutionary Algorithms metaheuristics machine learning probabilistic


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Genetic algorithms for modelling and optimisation J McCall Journal of computational and Applied Mathematics 184 (1), 205-222, 2005	1193	2005
D2MOPSO: MOPSO based on Decomposition and Dominance with Archiving using Crowding Distance in Objective and Solution Spaces N Al Moubayed, A Pertovski, J McCall Evolutionary Computation 22 (1), 47-77, 2013	168	2013
Optimization by estimation of distribution with DEUM framework based on Markov random fields S Shakya, J McCall International Journal of Automation and Computing 4, 262-272, 2007	100	2007
A novel smart multi-objective particle swarm optimisation using decomposition N Al Moubayed, A Petrovski, J McCall International Conference on Parallel Problem Solving from Nature, 1-10, 2010	91	2010
Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms A Petrovski, J McCall International Conference on Evolutionary Multi-Criterion Optimization, 531-545, 2001	71	2001
A chain-model genetic algorithm for Bayesian network structure learning R Kabli, F Herrmann, J McCall Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007	70	2007
Ensemble selection based on classifier prediction confidence TT Nguyen, AV Luong, MT Dang, AWC Liew, J McCall Pattern Recognition 100, 107104, 2020	66	2020
Multi-label classification via incremental clustering on an evolving data stream TT Nguyen, MT Dang, AV Luong, AWC Liew, T Liang, J McCall Pattern Recognition 95, 96-113, 2019	62	2019
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms A Petrovski, S Shakya, J McCall Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006	59	2006
Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers O Regnier-Coudert, J McCall, R Lothian, T Lam, S McClinton, J N’Dow Artificial intelligence in medicine 55 (1), 25-35, 2012	58	2012
Using a Markov network model in a univariate EDA: An empirical cost-benefit analysis S Shakya, J McCall, D Brown Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	54	2005
Optimising cancer chemotherapy using particle swarm optimisation and genetic algorithms A Petrovski, B Sudha, J McCall International Conference on Parallel Problem Solving from Nature, 633-641, 2004	52	2004
A decision support system for cancer chemotherapy using genetic algorithms J McCall, A Petrovski Proceedings of the international conference on computational intelligence …, 1999	52	1999
Two novel ant colony optimization approaches for Bayesian network structure learning Y Wu, J McCall, D Corne IEEE Congress on Evolutionary Computation, 1-7, 2010	45	2010
Approaches to selection and their effect on fitness modelling in an estimation of distribution algorithm AEI Brownlee, JAW McCall, Q Zhang, DF Brown 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	45	2008
The intersection of evolutionary computation and explainable AI J Bacardit, AEI Brownlee, S Cagnoni, G Iacca, J McCall, D Walker Proceedings of the Genetic and Evolutionary Computation conference companion …, 2022	43	2022
Solving the Ising spin glass problem using a bivariate EDA based on Markov random fields SK Shakya, JAW McCall, DF Brown 2006 IEEE International Conference on Evolutionary Computation, 908-915, 2006	37	2006
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy AEI Brownlee, M Pelikan, JAW McCall, A Petrovski Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008	36	2008
Evolutionary algorithms for cancer chemotherapy optimization J McCall, A Petrovski, S Shakya Computational Intelligence in Bioinformatics, 263-296, 2007	36	2007
Statistical optimisation and tuning of GA factors A Petrovski, A Brownlee, J McCall 2005 IEEE Congress on Evolutionary Computation 1, 758-764, 2005	34	2005

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