Siddhartha Shakya, Alexander Brownlee, John McCall, François Fournier, Gilbert Owusu, A Fully Multivariate DEUM Algorithm, in CEC 2009
Alexander E.I. Brownlee, John A.W. McCall, Siddartha K. Shakya and Qingfu Zhang, Structure Learning and Optimisation in a Markov-network based Estimation of Distribution Algorithm, in CEC 2009.
Andrei Petrovski , John McCall and Bhavani Sudha, Multi-Objective Optimization of Cancer Chemotherapy Using Swarm Intelligence, AISB 2009 Symposium on Adaptive and Emergent Behaviour and Complex Systems
Yanghui Wu, John McCall, Yingzhou Liu. Evolutionary Algorithm Applied to Bio-Control Dynamic Model. Journal of Jilin Agricultural University Vol. 30, No. 5, 2008.
P.M. Godley, D. E. Cairns, J. Cowie and J. McCall ``Directed Intervention Crossover Approaches Applied to the Optimisation of Schedules for Time-Series Problems'' In IEEE WSSEC 2008: Workshop and Summer School on Evolutionary Computing 2008, Derry, Northern Ireland, UK, 2008. IEEE.
Paul M. Godley, David E. Cairns, Julie Cowie and John McCall, Fitness Directed Intervention Crossover Approaches applied to Bio-Scheduling Problems in 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Sun Valley, September 2008
Thierry Mamer, Christopher H Bryant, John McCall, L-Modified ILP Evaluation Functions for positive-only Biological Grammar Learning, in Inductive Logic Programming 2008 (ILP 2008), Prague, September 2008.
Alexander Brownlee, Yanghui Wu , John McCall, Paul Godley, David Cairns and Julie Cowie, Optimisation and Fitness Modelling of Bio-control in Mushroom Farming using a Markov Network EDA, In Proceedings ACM GECCO 2008, pp465-466.
Ratiba Kabli, John McCall, Frank Herrmann, Eng Ong, Evolved Bayesian Networks as a Versatile Alternative to Partin Tables for Prostate Cancer Management, In Proceedings ACM GECCO 2008, pp1547-1554.
Paul Godley, David Cairns , Julie Cowie, John McCall and Kevin M. Swingler, The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy, In Proceedings ACM GECCO 2008, pp1105-1106.
Alexander Brownlee, Martin Pelikan, John McCall, Andrei Petrovski, An Application of a Multivariate Estimation of Distribution Algorithm to Cancer Chemotherapy, In Proceedings ACM GECCO 2008, pp463-464.
Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang and Deryck F. Brown, Approaches to Selection and their Effect on Fitness Modelling in an Estimation of Distribution Algorithm, in Proceedings 2008 IEEE Congress in Evolutionary Computation (CEC 2008), Hong Kong pp2626-2633.
Paul Godley, Julie Cowie, David Cairns, John McCall and Catherine Howie, Optimisation of Cancer Chemotherapy Schedules Utilising Directed Intervention Crossover Approaches, in Proceedings 2008 IEEE Congress in Evolutionary Computation (CEC 2008), Hong Kong pp2537-2542.
Yanghui Wu, John McCall, Paul Godley, Alexander Brownlee, David Cairns and Julie Cowie, Bio-control in mushroom farming using a Markov Network EDA , in Proceedings 2008 IEEE Congress in Evolutionary Computation (CEC 2008), Hong Kong pp2996-3001.
John McCall, Andrei Petrovski and Siddhartha Shakya, Evolutionary Algorithms for Cancer Chemotherapy Optimization, in Gary B. Fogel, David W. Corne and Yi Pan (Eds.) Computational Intelligence in Bioinformatics, IEEE Press Series on Computational Intelligence, Wiley Interscience 2008, Chapter 12 pp 265-296. ISBN 978-0470-10526-9.
Siddhartha Shakya, John McCall, Optimization by Estimation of Distribution with DEUM Framework Based on Markov Random Fields International Journal of Automation and Computing 04 (3) , July 2007, 262-272 DOI: 10.1007/s11633-007-0262-6
Alexander Brownlee, John McCall, Deryck Brown, Solving the MAXSAT Problem using a Multivariate EDA based on Markov Networks, in GECCO 2007 Late-breaking papers pp2423-2428.
Ratiba Kabli, Frank Herrmann, John McCall, A Chain-Model Genetic Algorithm for Bayesian Network Structure Learning, in GECCO 2007 Volume II pp1264-1271.
S. Shakya, J. McCall, A. Petrovski, Optimising Cancer Chemotherapy using an Estimation of Distribution Algorithm and Genetic Algorithms, in Maarten Keijzer et al. eds. Proceedings of the Genetic and Evolutionary Computation Conference 2006 Volume 1 pp413-418, ACM ISBN1-59593-186-4.
Siddhartha Shakya, John McCall and Deryck Brown, Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields, in Proceedings IEEE Congress in Evolutionary Computation, July 2006.
S.K. Shakya, J. McCall and D.F. Brown, Incorporating a Metropolis method in a Distribution Estimation using Markov Random Field algorithm, in IEEE Congress in Evolutionary Computation 2005 Proceedings Vol. 3, pp2576-2583.
Andrei Petrovski , Alexander Brownlee and John McCall, Statistical optimisation and tuning of GA factors, in IEEE Congress in Evolutionary Computation 2005 Proceedings Vol. 1, pp758-764.
Andrei Petrovski , John McCall, Smart Problem Solving Environments for Medical Decision Support, in MedGEC, the GECCO Workshop on the application of genetic and evolutionary computation to problems in medicine and healthcare, GECCO 2005
Siddhartha Shakya, John McCall and Deryck Brown, Using a Markov Network Model in a Univariate EDA: An Empirical Cost-Benefit Analysis, in H-G. Bayer et al (Eds.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2005, Volume 1 pp727-734, ACM ISBN1-59593-010-8
John McCall, Genetic Algorithms for Modelling and Optimization, in Journal of Computational and Applied Mathematics 184 (2005) 205-222.
S. Shakya, J. McCall, D. Brown, Estimating the Distribution in an EDA, in Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (Eds) Adaptive and Natural Computing Algorithms , pp202-205, SpringerWienNewYork ISBN 3-211-24934-6
Andrei Petrovski, Bhavani Sudha and John McCall, Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms, in Xin Yao et al. (Eds.) Parallel Problem Solving from Nature VIII, 8th International Conference Proceedings, Lecture Notes in Computer Science Volume 3242, pp633-641, Springer-Verlag (2004) ISBN: 3-540-23092-0 ISSN: 0302-9743
Siddhartha Shakya, John McCall, Deryck Brown, Updating the probability vector using MRF techniques for a Univariate EDA, STAIRS 2004.
Angus MacLean, John A. W. McCall, Deryck F. Brown, Pattern Matching in Collections of Java Bytecode: Maximising Reuse Potential in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, Okan Ersoy eds. Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life Volume 13 pp 663 - 668, ASME Press New York 2003 ISBN: 0-7918-0204-3
Wei Ji, Raouf N. G. Naguib, John McCall, Dobrila Petrovic, Elena Gaura, Mohamed Ghoneim (2003) Prognostic prediction of Bilharziasis-related Bladder Cancer by Neuro-Fuzzy Classifier. ITAB 2003.
D. F. Brown, A. B. Garmendia-Doval, J. A. W. McCall, Markov Random Field Modelling of Royal Road Genetic Algorithms Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Marc Schoenauer Eds., Artificial Evolution, Proceedings of the 5th International Conference on Artificial Evolution, Le Creusot, France October 2001 Selected Papers, Lecture Notes in Computer Science, 2310 Springer-Verlag ISBN 3-540-43544-1, pp 65-76.
Andrei Petrovski and John McCall, Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms,E.Zitzler et al. (Eds.): Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science 1993, pp531-545, 2001, Springer-Verlag ISBN: 3-540-41745-1, ISSN:0302-9743
D.F. Brown, A. B. Garmendia-Doval and J.A.W. McCall (2000), A functional framework for the implementation of genetic algorithms: Comparing Haskell and Standard ML in S. Gilmore (Ed.)Trends in Functional Programming Volume 2, Chapter3 pp27-38, Intellect Books 2000, ISBN 1-84150-058-5.
D.F. Brown, S.J. Cuddy, A. B. Garmendia-Doval and J.A.W. McCall, Prediction of permeability in oil-bearing strata using genetic algorithms, Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, July 2000.
Andrei Petrovski, Alex Wilson and John A. W. McCall, Statistical identification and Optimisation of significant GA factors, Proceedings of the Fifth International Conference on Information Sciences (JCIS 2000), volume 1, pages 1031 - 1035. Atlantic City, NJ. 2000
Deryck F. Brown, A. Beatriz Garmendia-Doval and John A. W. McCall, A Genetic Algorithm Framework Using Haskell., Proceedings of the 2nd Asia-Pacific Conference on Genetic Algorithms, Hong Kong May 2000
S. Thomson, J. McCall, D. Crossen, Component Based Visual Software Engineering, Proceedings of the Second International Conference on Enterprise Information Systems, Leeds, 2000, pages 363 - 367, ISBN 972-98050-1-6
Petrovski A., and McCall J., Computational Optimisation of Cancer Chemotherapies using Genetic Algorithms, in Robert John, Ralph Birkenhead (Eds.) Soft Computing Techniques and Applications, Physica Verlag 2000 pp117-122, ISBN: 3-7908-1257-9.
Stewart Thomson and John McCall, Towards A Visual Environment For Enterprise Systems, First International Conference on Enterprise Information Systems, Setubal, Portugal 1999 (poster presentation)
John A. W. McCall and A. Petrovski. OWCH, A Decision Support System for Designing Novel Cancer Chemotherapies, in Proceedings of the International ICSC Congress on Computational Intelligence Methods and Applications, Rochester NY June 1999 , pp 504-510, ICSC Academic Press, ISBN 3-906454-16-9
J. McCall, A. Petrovski, A Decision Support System for Chemotherapy using Genetic Algorithms, in Computational Intelligence for Modelling, Control and Automation, M. Mouhammadian (Ed.), pp 65-70, IOS Press, 1999
A. Petrovski, J. A. W. McCall and E. Forrest. An Application of Genetic Algorithms to Optimisation of Cancer Chemotherapy, International Journal of Mathematical Education in Science and Technology, 1998, 29, No3, pp377-388
J Boyle, D Henderson, J McCall, H McLeod, J Usher, Exploring novel chemotherapy treatments using the WWW, International Journal Of Medical Informatics, 1997, Vol.47, No.1-2, pp.107-114 ISSN 1386-5056
J. Boyle, J. McCall and S. Thomson (1997), Visualisation for the Development of Treatments for Cancer Chemotherapy. (Poster presentation.), Frontiers in Visualisation and Human-Computer Interaction '97, European Bioinformatics Institute, Hinxton, UK.
A. Petrovski and J. A. W. McCall, Optimising GA parameters using statistical approaches, in Proceedings of the International Conference of Information Sciences. Volume 1, pp 29-30. Elsevier 1997. ISBN: 0-9643456-4-1
Dean Henderson, John McCall and John Boyle, Decision support system for designing chemotherapeutic regimens, in Medical Informatics Europe '97. pp 353-357 Editors C. Pappas, N. Maglaveras, J. -R. Scherrer. IOS Press. ISSN: 0926-9630
M. C. Crabb, J. R. Hubbuck and J. A. W. McCall, Stable Summands of U(n), The Royal Society of Edinburgh Proceedings (Section A) Mathematics, 1997.
I.G. MacKenzie, J. McCall and H. Merouani, Texture Modelling in Mammograms using Markov Random fields. Image Processing and its Applications, IEE conference publication number 433. Volume pp 289-293. ISBN 0 85296 692 X ISSN 0537-9989
J.Boyle, D.Henderson, J.McCall, H.McLeod, and J.Usher, Exploring Novel Chemotherapy Treatments using the WWW, European Congress on the Internet in Medicine (MEDNET)
J. A. W. McCall and A. Petrovski, Searching for optimal strategies in cancer chemotherapy using genetic algorithms, Seventh IMA Conference on Mathematics Applied in Medicine and Biology. Oxford,July 1996.
I.G. MacKenzie, J. McCall, and H. Merouani, Modelling mammogram outlines, in K. V. Mardia, C. A. Gill, and I. L. Dryden, eds. Proceedings in Image Fusion and Shape Variability Techniques, pp 210-211. Leeds University Press, 1996. ISBN 0 85316 173 9
John A. W. McCall, Stable Indecomposability of Certain Summands in Miller's Splitting of the Special Unitary and Symplectic Groups, PhD Thesis, University of Aberdeen, 1990.
John A. W. McCall, Geometry and Topology of the Unitary Group and Associated Spaces, MSc Dissertation, University of Aberdeen, 1987.
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