Publications

[1] Alexandre Maciel-Guerra, Grazziela P. Figueredo, and Jamie Twycross. Dynamic selection of classifiers applied to high-dimensional small-instance data sets: Problems and challenges. In Proceedings of the Sixth International Conference on Machine Learning, Optimization, and Data Science (LOD), Siena, Italy, July 2020. Accepted. [ bib ]
[2] Alexandre Maciel-Guerra, Grazziela P. Figueredo, Marcos J. C. Alcocer Eliane Marti, and Jamie Twycross. Subspace-based dynamic selection: A proof of concept using protein microarray data. In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (WCCI), Glasgow, U.K., July 2020. Accepted. [ bib ]
[3] Laura Hobley, J. Kimberley Summers, Rob Till, David S. Milner, Robert J. Atterbury, Amy Stroud, Michael J. Capeness, Stephanie Gray, Andreas Leidenroth, Carey Lambert, Ian Connerton, Jamie Twycross, Michelle Baker, Jess Tyson, Jan-Ulrich Kreft, and R. Elizabeth Sockett. Dual predation by Bacteriophage and Bdellovibrio can eradicate E. coli prey in situations where single predation cannot. Journal of Bacteriology, 202(6):1--18, March 2020. [ bib | DOI ]
[4] Chao Chen, Dongrui Wu, Jonathan M Garibaldi, Robert John, Jamie Twycross, and Jerry M Mendel. A comprehensive study of the efficiency of type-reduction algorithms. IEEE Transactions on Fuzzy Systems, 1(1):1--16, March 2020. [ bib | DOI ]
[5] Edward Acheampong, Ian L. Dryden, Jonathan A.D. Wattis, Jamie Twycross, Mark D. Scrimshaw, and Rachel L. Gomes. Modelling emerging pollutants in wastewater treatment: A case study using the pharmaceutical 17α−ethinylestradiol. Computers & Chemical Engineering, 128:477--487, September 2019. [ bib | DOI ]
[6] Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, and Marcos J. C. Alcocer. Microarray feature selection and dynamic selection of classifiers for early detection of insect bite hypersensitivity in horses. In Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), pages 1157--1164, Wellington, New Zealand, June 2019. [ bib | DOI ]
[7] James P. Gilbert, Nicole Pearcy, Rupert Norman, Thomas Millat, Klaus Winzer, John King, Charlie Hodgman, Nigel Minton, and Jamie Twycross. Gsmodutils: A python based framework for test-driven genome scale metabolic model development. Bioinformatics, February 2019. [ bib | DOI ]
[8] James P. Gilbert and Jamie Twycross. From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks. In Proceedings of the 14th International Workshop on Mining and Learning with Graphs, London, U.K., August 2018. [ bib ]
[9] Chao Chen, Robert John, Jamie Twycross, and Jonathan M Garibaldi. A direct approach for determining the switch points in the Karnik-Mendel algorithm. IEEE Transactions on Fuzzy Systems, 26(2):1079--1085, April 2018. [ bib ]
[10] Michelle Baker, David Negus, Dhaarini Raghunathan, Paul Radford, Chris Moore, Gemma Clark, Mathew Diggle, Jess Tyson, Jamie Twycross, and R. Elizabeth Sockett. Measuring and modelling the response of Klebsiella pneumoniae KPC prey to Bdellovibrio bacteriovorus predation, in human serum and defined buffer. Scientific Reports, 7(8329):1--18, August 2017. [ bib ]
[11] Chao Chen, Robert John, Jamie Twycross, and Jonathan M Garibaldi. Type-1 and interval type-2 ANFIS: a comparison. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), March 2017. [ bib ]
[12] Chao Chen, Jamie Twycross, and Jonathan M Garibaldi. A new accuracy measure based on bounded relative error for time series forecasting. PloS ONE, 12(3):e0174202, 2017. [ bib | .pdf ]
[13] Michelle Baker, David Negus, Dhaarini Raghunathan, Jess Tyson, Jamie Twycross, and Liz Sockett. Population dynamics of the predatory Bdellovibrio bacteriovorus bacteria. In Proceedings of the European Conference on Mathematical and Theoretical Biology (ECMTB-16), Nottingham, U.K., July 2016. [ bib ]
[14] Chao Chen, Robert John, Jamie Twycross, and Jonathan M Garibaldi. An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), July 2016. [ bib ]
[15] Venkata Suresh Bonthala, Katie Mayes, Joanna Moreton, Martin Blythe, Victoria Wright, Sean Tobias May, Festo Massawe, Sean Mayes, and Jamie Twycross. Identification of gene modules associated with low temperatures response in Bambara groundnut by network-based analysis. PloS ONE, 11(2):e0148771, 2016. [ bib | .pdf ]
[16] Venkata Suresh Bonthala and Jamie Twycross. Construction of gene co-expression network and identification of functional modules in bambara groundnut under cold-temperature stress. In Proceedings of the CFFRC Symposium, Kuala Lumpur, Malaysia, November 2014. [ bib ]
[17] Daven Sanassy, Jamie Twycross, Pawl Widera, Jonathan Blakes, and Natalio Krasnogor. Principled selection of stochastic simulation algorithms for systems and synthetic biology. In 10th International Symposium on Integrative Bioinformatics, Newcastle upon Tyne, U.K., May 2014. [ bib ]
[18] Jonathan Blakes, Jamie Twycross, Savas Konur, Francisco Jose Romero-Campero, Natalio Krasnogor, and Marian Gheorghe. Infobiotics workbench: A P systems based tool for systems and synthetic biology. In Applications of Membrane Computing in Systems and Synthetic Biology, pages 1--41. Springer International Publishing, 2014. [ bib ]
[19] Daven Sanassy, Jonathan Blakes, Jamie Twycross, and Natalio Krasnogor. Improving computational efficiency in stochastic simulation algorithms for systems and synthetic biology. In SynBioCCC. 11th European Conference on Artificial Life, 2011. [ bib ]
[20] Ian D Kerr, David J Carrier, and Jamie Twycross. Hormone transport. In The Plant Plasma Membrane, pages 379--397. Springer Berlin Heidelberg, 2011. [ bib ]
[21] Jonathan Blakes, Jamie Twycross, Francisco Jose Romero, Natalio Krasnogor, et al. The infobiotics workbench: an integrated in silico modelling platform for systems and synthetic biology. Bioinformatics, 27(23):3323--3324, 2011. [ bib ]
[22] Florine Dupeux, Julia Santiago, Katja Betz, Jamie Twycross, Sang-Youl Park, Lesia Rodriguez, Miguel Gonzalez-Guzman, Malene Ringkjøbing Jensen, Natalio Krasnogor, Martin Blackledge, et al. A thermodynamic switch modulates abscisic acid receptor sensitivity. The EMBO journal, 30(20):4171--4184, 2011. [ bib ]
[23] Carlos García-Martínez, Claudio Lima, Jamie Twycross, Natalio Krasnogor, and Manuel Lozano. P system model optimisation by means of evolutionary based search algorithms. In Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 187--194. ACM, 2010. [ bib ]
[24] Jamie Twycross, Uwe Aickelin, and Amanda Whitbrook. Detecting anomalous process behaviour using second generation artificial immune systems. International Journal of Unconventional Computing, 6, 2010. [ bib ]
[25] Jamie Twycross, Leah R Band, Malcolm J Bennett, John R King, and Natalio Krasnogor. Stochastic and deterministic multiscale models for systems biology: an auxin-transport case study. BMC systems biology, 4(1):1, 2010. [ bib ]
[26] Jamie Twycross and Uwe Aickelin. Information fusion in the immune system. Information Fusion, 11(1):35--44, 2010. [ bib ]
[27] Francisco J Romero-Campero, Jamie Twycross, Miguel Cámara, Malcolm Bennett, Marian Gheorghe, and Natalio Krasnogor. Modular assembly of cell systems biology models using P systems. International Journal of Foundations of Computer Science, 20(03):427--442, 2009. [ bib ]
[28] Jamie Twycross, Francisco Romero-Campero, Malcolm Bennett, Miguel Cámara, and Natalio Krasnogor. Modular assembly of cell systems biology models using P systems. In Proceedings of Prague International Workshop on Membrane Computing, pages 51--62, 2008. [ bib ]
[29] Francisco José Romero-Campero, Jamie Twycross, Hongqing Cao, Jonathan Blakes, and Natalio Krasnogor. A multiscale modeling framework based on P systems. In International Workshop on Membrane Computing, pages 63--77. Springer Berlin Heidelberg, 2008. [ bib ]
[30] Uwe Aickelin, Jamie Twycross, and Thomas Hesketh-Roberts. Rule generalisation in intrusion detection systems using snort. International Journal of Electronic Security and Digital Forensics, 1(1):101--116, 2007. [ bib ]
[31] Jamie Twycross and Uwe Aickelin. Biological inspiration for artificial immune systems. In Artificial immune systems, pages 300--311. Springer Berlin Heidelberg, 2007. [ bib ]
[32] Jamie Twycross. Integrated innate and adaptive artificial immune systems applied to process anomaly detection. PhD thesis, University of Nottingham, 2007. [ bib ]
[33] Jungwon Kim, Peter J Bentley, Uwe Aickelin, Julie Greensmith, Gianni Tedesco, and Jamie Twycross. Immune system approaches to intrusion detection - a review. Natural computing, 6(4):413--466, 2007. [ bib ]
[34] Gianni Tedesco, Jamie Twycross, and Uwe Aickelin. Integrating innate and adaptive immunity for intrusion detection. In Proceedings of the 5th International Conference on Artificial Immune Systems, pages 193--202. Springer Berlin Heidelberg, 2006. [ bib ]
[35] Jamie Twycross and Uwe Aickelin. libtissue - implementing innate immunity. In Proceedings of the 2006 IEEE International Conference on Evolutionary Computation, pages 499--506. IEEE, 2006. [ bib ]
[36] Julie Greensmith, Jamie Twycross, and Uwe Aickelin. Dendritic cells for anomaly detection. In Proceedings of the 2006 IEEE International Conference on Evolutionary Computation, pages 664--671. IEEE, 2006. [ bib ]
[37] Julie Greensmith, Uwe Aickelin, and Jamie Twycross. Articulation and clarification of the dendritic cell algorithm. In Proceedings of the 5th International Conference on Artificial Immune Systems, pages 404--417. Springer Berlin Heidelberg, 2006. [ bib ]
[38] Jamie Twycross and Uwe Aickelin. Towards a conceptual framework for innate immunity. In Proceedings of the 4th International Conference on Artificial Immune Systems, pages 112--125. Springer Berlin Heidelberg, 2005. [ bib ]
[39] Jamie Twycross. SOMA - a self-organising mobile agent immune system for computer networks. In International Symposium on Recent Advances in Intrusion Detection (RAID04), Sophia Antipolis, France, September 2004. [ bib ]
[40] Uwe Aickelin, Julie Greensmith, and Jamie Twycross. Immune system approaches to intrusion detection - a review. In Proceedings of the 3rd International Conference on Artificial Immune Systems, LNCS 3239, pages 316--329, Catania, Italy, September 2004. [ bib | .pdf ]
[41] Jamie Twycross. Immune systems, danger theory and intrusion detection. In Proceedings of the AISB Symposium on Immune Systems and Cognition, pages 40--42, 2004. [ bib ]
[42] Jamie Twycross and Matthew M Williamson. Implementing and testing a virus throttle. In Proceedings of the 12th USENIX Security Symposium, Washington, D.C., August 2003. [ bib ]
[43] Jamie Twycross and Steve Cayzer. An immune-based approach to document. In Intelligent Information Processing and Web Mining: Proceedings of the International IIS: IIPWM03 Conference, volume 22, page 33. Springer Science & Business Media, 2003. [ bib ]
[44] Matthew M Williamson, Jamie Twycross, Jonathan Griffin, and Andy Norman. Virus throttling. Virus Bulletin, UK, 2003. [ bib ]
[45] Jamie Twycross and Steve Cayzer. An immune-based approach to document classification. In Intelligent Information Processing and Web Mining, pages 33--46. Springer Berlin Heidelberg, 2003. [ bib ]
[46] Jamie Twycross. An immune system approach to document classification. Master's thesis, COGS, University of Sussex, UK, 2002. [ bib ]


www:    http://www.cs.nott.ac.uk/~pszjpt
email:  jamie.twycross AT nottingham.ac.uk
phone:  +44 (0)115 846 7590
office: B48 School of Computer Science
        Jubilee Campus
        University of Nottingham
        Wollaton Road
        Nottingham NG8 1BB
        U.K.