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Jonathan Timmis
Jon Timmis
2010 – today
- 2013
[j38]Richard B. Greaves, Mark Read, Jon Timmis, Paul S. Andrews, James A. Butler, Björn-Ole Gerckens, Vipin Kumar: In silico investigation of novel biological pathways: The role of CD200 in regulation of T cell priming in experimental autoimmune encephalomyelitis. Biosystems 112(2): 107-121 (2013)- [j37]Richard A. Williams, Richard B. Greaves, Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar: In silico investigation into dendritic cell regulation of CD8Treg mediated killing of Th1 cells in murine experimental autoimmune encephalomyelitis. BMC Bioinformatics 14(S-6): S9 (2013)
- [j36]Nick D. L. Owens, Andrew J. Greensted, Jon Timmis, Andy M. Tyrrell: The Receptor Density Algorithm. Theor. Comput. Sci. 481: 51-73 (2013)
- 2012
- [j35]James Alfred Walker, Yang Liu, Gianluca Tempesti, Jon Timmis, Andy M. Tyrrell: Automatic Machine Code Generation for a Transport Triggered Architecture using Cartesian Genetic Programming. IJARAS 3(4): 32-50 (2012)
- [j34]Jon Timmis, Kenichi Morita: Editorial for special issue on unconventional computation. Natural Computing 11(1): 65-66 (2012)
- [j33]James A. Hilder, Nick D. L. Owens, Mark James Neal, Peter J. Hickey, Stuart N. Cairns, David P. A. Kilgour, Jonathan Timmis, Andrew M. Tyrrell: Chemical Detection Using the Receptor Density Algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(6): 1730-1741 (2012)
- [c84]Omer Qadir, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell: Profiling the fault tolerance for the adaptive Protein Processing Associative Memory. AHS 2012: 246-253
- [c83]Lachlan Murray, Jon Timmis, Andy M. Tyrrell: Self-reconfigurable Modular e-pucks. ANTS 2012: 133-144
- [c82]TiongHoo Lim, Iain Bate, Jon Timmis: Validation of performance data using experimental verification process in wireless sensor network. ETFA 2012: 1-8
- [c81]TiongHoo Lim, HuiKeng Lau, Jon Timmis, Iain Bate: Immune-Inspired Self Healing in Wireless Sensor Networks. ICARIS 2012: 42-56
- [c80]Richard B. Greaves, Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar: Extending an Established Simulation: Exploration of the Possible Effects Using a Case Study in Experimental Autoimmune Encephalomyelitis. IPCAT 2012: 150-161
- [e9]Emma Hart, Jon Timmis, Paul Mitchell, Takadash Nakamo, Foad Dabiri (Eds.): Bio-Inspired Models of Networks, Information, and Computing Systems - 6th International ICST Conference, BIONETICS 2011, York, UK, December 5-6, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 103, Springer 2012, ISBN 978-3-642-32710-0
- 2011
- [j32]Omer Qadir, Jerry Liu, Gianluca Tempesti, Jon Timmis, Andy M. Tyrrell: From Bidirectional Associative Memory to a noise-tolerant, robust Protein Processor Associative Memory. Artif. Intell. 175(2): 673-693 (2011)
- [j31]Emma Hart, Chris McEwan, Jon Timmis, Andrew Hone: Advances in artificial immune systems. Evolutionary Intelligence 4(2): 67-68 (2011)
- [j30]Jon Timmis, Paul S. Andrews, Susan Stepney: Editorial for special issue on the interaction between computation and biology. Natural Computing 10(1): 187-188 (2011)
- [j29]HuiKeng Lau, Iain Bate, Paul Cairns, Jon Timmis: Adaptive data-driven error detection in swarm robotics with statistical classifiers. Robotics and Autonomous Systems 59(12): 1021-1035 (2011)
- [j28]
- [c79]Omer Qadir, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell: The Protein Processor Associative Memory on a Robotic Hand-Eye Coordination Task. BIONETICS 2011: 29-43
- [c78]Lachlan Murray, Wenguo Liu, Alan F. T. Winfield, Jon Timmis, Andy M. Tyrrell: Analysing the Reliability of a Self-reconfigurable Modular Robotic System. BIONETICS 2011: 44-58
- [c77]Nurulhuda Firdaus Mohd Azmi, Fiona Polack, Jon Timmis: Immune Inspired Adaptive Information Filtering: Focusing on Profile Adaptation. BIONETICS 2011: 242-247
- [c76]Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell: Hardware architecture for a bidirectional hetero-associative Protein Processing Associative Memory. IEEE Congress on Evolutionary Computation 2011: 208-215
- [c75]Antonio Gomez Zamorano, Jon Timmis, Andy M. Tyrrell: A flexible decentralised communication architecture on a field programmable gate array for swarm system simulations. IEEE Congress on Evolutionary Computation 2011: 230-237
- [c74]Yang Liu, Gianluca Tempesti, James Alfred Walker, Jon Timmis, Andrew M. Tyrrell, Paul Bremner: A Self-scaling Instruction Generator Using Cartesian Genetic Programming. EuroGP 2011: 298-309
- [c73]Richard A. Williams, Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar: In Silico Investigation into CD8Treg Mediated Recovery in Murine Experimental Autoimmune Encephalomyelitis. ICARIS 2011: 51-54
- [c72]Kieran Alden, Paul S. Andrews, Jon Timmis, Henrique Veiga-Fernandes, Mark Coles: Towards Argument-Driven Validation of an in silico Model of Immune Tissue Organogenesis. ICARIS 2011: 66-70
- [c71]Amelia Ritahani Ismail, Jon Timmis: Modelling Containment Mechanisms in the Immune System for Applications in Engineering - (Extended Abstract). ICARIS 2011: 77-80
- [c70]Yang Liu, Jon Timmis, Tim Clarke: A Lymphocyte-Cytokine Network Inspired Algorithm for Data Analysis. ICARIS 2011: 187-197
- [c69]James A. Hilder, Nick D. L. Owens, Peter J. Hickey, Stuart N. Cairns, David P. A. Kilgour, Jon Timmis, Andy M. Tyrrell: Parameter Optimisation in the Receptor Density Algorithm. ICARIS 2011: 226-239
- [c68]HuiKeng Lau, Jon Timmis, Iain Bate: Collective Self-detection Scheme for Adaptive Error Detection in a Foraging Swarm of Robots. ICARIS 2011: 254-267
- [c67]Martin Drozda, Iain Bate, Jon Timmis: Bio-inspired Error Detection for Complex Systems. PRDC 2011: 154-163
- [c66]Thomas Schmickl, Ronald Thenius, Christoph Möslinger, Jon Timmis, Andy M. Tyrrell, Mark Read, James A. Hilder, José Halloy, Alexandre Campo, Cesare Stefanini, Luigi Manfredi, Stefano Orofino, Serge Kernbach, Tobias Dipper, Donny K. Sutantyo: CoCoRo - The Self-Aware Underwater Swarm. SASO Workshops 2011: 120-126
- [c65]Jeremy C. Posso, Adam T. Sampson, Jonathan Simpson, Jon Timmis: Process-Oriented Subsumption Architectures in Swarm Robotic Systems. CPA 2011: 303-316
- [i3]Serge Kernbach, Thomas Schmickl, Jon Timmis: Collective Adaptive Systems: Challenges Beyond Evolvability. CoRR abs/1108.5643 (2011)
- [i2]Emma Hart, Thomas Jansen, Jon Timmis: Artificial Immune Systems (Dagstuhl Seminar 11172). Dagstuhl Reports 1(4): 100-111 (2011)
- 2010
- [j27]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower: Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. IJDMB 4(2): 191-210 (2010)
- [j26]Leandro Nunes de Castro, Jon Timmis, Helder Knidel, Fernando J. Von Zuben: Artificial Immune Systems: structure, function, diversity and an application to biclustering. Natural Computing 9(3): 575-577 (2010)
- [j25]Xiao Zhi Gao, Mo-Yuen Chow, David Pelta, Jon Timmis: Special Issue on Artificial Immune Systems: Theory and Applications. Neural Computing and Applications 19(4): 647 (2010)
- [j24]Xiao Zhi Gao, Mo-Yuen Chow, David Pelta, Jon Timmis: Theory and applications of artificial immune systems. Neural Computing and Applications 19(8): 1101-1102 (2010)
- [j23]Jon Timmis, Paul S. Andrews, Emma Hart: Special issue on artificial immune systems. Swarm Intelligence 4(4): 245-246 (2010)
- [j22]Jon Timmis, Paul S. Andrews, Emma Hart: On artificial immune systems and swarm intelligence. Swarm Intelligence 4(4): 247-273 (2010)
- [c64]Jennifer Owen, Susan Stepney, Jonathan Timmis, Alan F. T. Winfield: Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics. ANTS Conference 2010: 432-439
- [c63]Ran Bi, Jon Timmis, Andy M. Tyrrell: The Diagnostic Dendritic Cell Algorithm for robotic systems. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c62]Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell: Principles of protein processing for a self-organising associative memory. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c61]Luca Albergante, Jon Timmis, Paul S. Andrews, Lynette Beattie, Paul M. Kaye: A Petri Net Model of Granulomatous Inflammation. ICARIS 2010: 1-3
- [c60]Yang Liu, Jon Timmis, Omer Qadir, Gianluca Tempesti, Andy M. Tyrrell: A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems. ICARIS 2010: 199-212
- [c59]
- [c58]Fiona A. C. Polack, Paul S. Andrews, Teodor Ghetiu, Mark Read, Susan Stepney, Jon Timmis, Adam T. Sampson: Reflections on the Simulation of Complex Systems for Science. ICECCS 2010: 276-285
- [c57]Amelia Ritahani Ismail, Jon Timmis: Towards Self-Healing Swarm Robotic Systems Inspired by Granuloma Formation. ICECCS 2010: 313-314
- [c56]Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack: Towards a Principled Design of Bio-inspired Solutions to Adaptive Information Filtering. ICECCS 2010: 315-316
- [c55]
- [c54]Jon Timmis, Lachlan Murray, Mark James Neal: A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems. NICSO 2010: 319-330
- [e8]Emma Hart, Chris McEwan, Jon Timmis, Andy Hone (Eds.): Artificial Immune Systems, 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010. Proceedings. Lecture Notes in Computer Science 6209, Springer 2010, ISBN 978-3-642-14546-9
- [e7]Mike Hinchey, Bernd Kleinjohann, Lisa Kleinjohann, Peter A. Lindsay, Franz J. Rammig, Jon Timmis, Marilyn Wolf (Eds.): Distributed, Parallel and Biologically Inspired Systems - 7th IFIP TC 10 Working Conference, DIPES 2010 and 3rd IFIP TC 10 International Conference, BICC 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings. IFIP Advances in Information and Communication Technology 329, Springer 2010, ISBN 978-3-642-15233-7
- [e6]Cristian S. Calude, Masami Hagiya, Kenichi Morita, Grzegorz Rozenberg, Jon Timmis (Eds.): Unconventional Computation - 9th International Conference, UC 2010, Tokyo, Japan, June 21-25, 2010. Proceedings. Lecture Notes in Computer Science 6079, Springer 2010, ISBN 978-3-642-13522-4
- [r2]
2000 – 2009
- 2009
- [j21]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower: An Artificial Immune System for Clustering Amino Acids in the Context of Protein Function Classification. J. Math. Model. Algorithms 8(2): 103-123 (2009)
- [c53]Piero Conca, Giuseppe Nicosia, Giovanni Stracquadanio, Jon Timmis: Nominal-Yield-Area Tradeoff in Automatic Synthesis of Analog Circuits: A Genetic Programming Approach Using Immune-Inspired Operators. AHS 2009: 399-406
- [c52]Maizura Mokhtar, Ran Bi, Jon Timmis, Andy M. Tyrrell: A modified Dendritic Cell Algorithm for on-line error detection in robotic systems. IEEE Congress on Evolutionary Computation 2009: 2055-2062
- [c51]HuiKeng Lau, Jon Timmis, Iain Bate: Anomaly detection inspired by immune network theory: A proposal. IEEE Congress on Evolutionary Computation 2009: 3045-3051
- [c50]Anton J. Flugge, Jon Timmis, Paul S. Andrews, John Moore, Paul M. Kaye: Modelling and simulation of granuloma formation in visceral leishmaniasis. IEEE Congress on Evolutionary Computation 2009: 3052-3059
- [c49]Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar: Using UML to Model EAE and Its Regulatory Network. ICARIS 2009: 4-6
- [c48]Nick D. L. Owens, Andrew J. Greensted, Jon Timmis, Andrew M. Tyrrell: T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection. ICARIS 2009: 122-135
- [c47]HuiKeng Lau, Iain Bate, Jon Timmis: An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics. ICARIS 2009: 136-150
- [c46]Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack: Profile Adaptation in Adaptive Information Filtering: An Immune Inspired Approach. SoCPaR 2009: 414-419
- [e5]Paul S. Andrews, Jon Timmis, Nick D. L. Owens, Uwe Aickelin, Emma Hart, Andrew Hone, Andy M. Tyrrell (Eds.): Artificial Immune Systems, 8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009. Proceedings. Lecture Notes in Computer Science 5666, Springer 2009, ISBN 978-3-642-03245-5
- [r1]
- 2008
- [j20]Emma Hart, Jon Timmis: Application areas of AIS: The past, the present and the future. Appl. Soft Comput. 8(1): 191-201 (2008)
- [j19]Andrew Secker, Alex Alves Freitas, Jon Timmis: AISIID: An artificial immune system for interesting information discovery on the web. Appl. Soft Comput. 8(2): 885-905 (2008)
- [j18]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower: Optimizing amino acid groupings for GPCR classification. Bioinformatics 24(18): 1980-1986 (2008)
- [j17]Stephen L. Smith, Jon Timmis: An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease. Biosystems 94(1-2): 34-46 (2008)
- [j16]Jonathan Timmis, Paul S. Andrews, Nick D. L. Owens, Edward Clark: An interdisciplinary perspective on artificial immune systems. Evolutionary Intelligence 1(1): 5-26 (2008)
- [j15]Jonathan Timmis, Andrew Hone, Thomas Stibor, Edward Clark: Theoretical advances in artificial immune systems. Theor. Comput. Sci. 403(1): 11-32 (2008)
- [c45]Paul S. Andrews, Adam T. Sampson, John Markus Bjørndalen, Susan Stepney, Jon Timmis, Douglas N. Warren, Peter H. Welch: Investigating Patterns for the Process-Oriented Modelling and Simulation of Space in Complex Systems. ALIFE 2008: 17-24
- [c44]Fiona A. C. Polack, Tim Hoverd, Adam T. Sampson, Susan Stepney, Jon Timmis: Complex Systems Models - Engineering Simulations. ALIFE 2008: 482-489
- [c43]Susan Stepney, Samson Abramsky, Andy Adamatzky, Colin G. Johnson, Jon Timmis: Grand Challenge 7: Journeys in Non-Classical Computation. BCS Int. Acad. Conf. 2008: 407-421
- [c42]Nick D. L. Owens, Jon Timmis, Andrew J. Greensted, Andy M. Tyrrell: Modelling the Tunability of Early T Cell Signalling Events. ICARIS 2008: 12-23
- [c41]Yang Liu, Jon Timmis, Tim Clarke: A Neuro-Immune Inspired Robust Real Time Visual Tracking System. ICARIS 2008: 188-199
- [c40]Andrew Secker, Matthew N. Davies, Alex Alves Freitas, Jonathan Timmis, Edward Clark, Darren R. Flower: An Artificial Immune System for Evolving Amino Acid Clusters Tailored to Protein Function Prediction. ICARIS 2008: 242-253
- [c39]Mark Read, Jon Timmis, Paul S. Andrews: Empirical Investigation of an Artificial Cytokine Network. ICARIS 2008: 340-351
- [c38]
- [c37]Paul S. Andrews, Jon Timmis: Adaptable Lymphocytes for Artificial Immune Systems. ICARIS 2008: 376-386
- [c36]Stephen L. Smith, Andrew J. Greensted, Jon Timmis: Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis. ICES 2008: 34-46
- [c35]Ruth Falconer, James Bown, Emma Hart, Jon Timmis: A New Paradigm for SpeckNets: Inspiration from Fungal Colonies. SASO Workshops 2008: 90-95
- [c34]Maizura Mokhtar, Jon Timmis, Andy M. Tyrrell, Ran Bi: An Artificial Lymph Node Architecture for Homeostasis in Collective Robotic Systems. SASO Workshops 2008: 126-131
- [c33]Jon Timmis, Paul S. Andrews, Nick D. L. Owens, Edward Clark: Immune Systems and Computation: An Interdisciplinary Adventure. UC 2008: 8-18
- 2007
- [j14]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Miguel Mendao, Jonathan Timmis, Darren R. Flower: On the hierarchical classification of G protein-coupled receptors. Bioinformatics 23(23): 3113-3118 (2007)
- [j13]
- [j12]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis: An Immune Algorithm for Protein Structure Prediction on Lattice Models. IEEE Trans. Evolutionary Computation 11(1): 101-117 (2007)
- [j11]Alex Alves Freitas, Jonathan Timmis: Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evolutionary Computation 11(4): 521-540 (2007)
- [j10]Rogério de Lemos, Jonathan Timmis, Modupe Ayara, Simon Forrest: Immune-Inspired Adaptable Error Detection for Automated Teller Machines. IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(5): 873-886 (2007)
- [c32]Thomas Stibor, Jonathan Timmis: Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM. IEEE Congress on Evolutionary Computation 2007: 3727-3734
- [c31]Thomas Knight, Jonathan Timmis: Comparison of a multi-layered artificial immune system with a kohonen network. IEEE Congress on Evolutionary Computation 2007: 3735-3742
- [c30]Miguel Mendao, Jonathan Timmis, Paul S. Andrews, Matthew N. Davies: The Immune System in Pieces: Computational Lessons from Degeneracy in the Immune System. FOCI 2007: 394-400
- [c29]Thomas Stibor, Jonathan Timmis: An Investigation on the Compression Quality of aiNet. FOCI 2007: 495-502
- [c28]Nick D. L. Owens, Jonathan Timmis, Andrew J. Greensted, Andy M. Tyrrell: On Immune Inspired Homeostasis for Electronic Systems. ICARIS 2007: 216-227
- [c27]Peter May, Jon Timmis, Keith Mander: Immune and Evolutionary Approaches to Software Mutation Testing. ICARIS 2007: 336-347
- 2006
- [j9]Thomas Stibor, Claudia Eckert, Jonathan Timmis: Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit). it - Information Technology 48(3): 168-173 (2006)
- [j8]Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Thomas R. Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge: Journeys in non-classical computation II: initial journeys and waypoints. IJPEDS 21(2): 97-125 (2006)
- [c26]Thomas Stibor, Jonathan Timmis, Claudia Eckert: On Permutation Masks in Hamming Negative Selection. ICARIS 2006: 122-135
- [c25]Paul S. Andrews, Jon Timmis: A Computational Model of Degeneracy in a Lymph Node. ICARIS 2006: 164-177
- [c24]Thomas Stibor, Jonathan Timmis, Claudia Eckert: On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions. ICARIS 2006: 215-228
- 2005
- [j7]Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Tom Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge: Journeys in non-classical computation I: A grand challenge for computing research. Parallel Algorithms Appl. 20(1): 5-19 (2005)
- [c23]Thomas Stibor, Jonathan Timmis, Claudia M. Eckert: On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system. Congress on Evolutionary Computation 2005: 995-1002
- [c22]Patrícia Amâncio Vargas, Renan C. Moioli, Leandro Nunes de Castro, Jon Timmis, Mark James Neal, Fernando J. Von Zuben: Artificial Homeostatic System: A Novel Approach. ECAL 2005: 754-764
- [c21]Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, Claudia Eckert: Is negative selection appropriate for anomaly detection? GECCO 2005: 321-328
- [c20]Larisa B. Goncharova, Yannick Jacques, Carlos Martín-Vide, Alexander O. Tarakanov, Jonathan Timmis: Biomolecular Immune-Computer: Theoretical Basis and Experimental Simulator. ICARIS 2005: 72-85
- [c19]Paul S. Andrews, Jon Timmis: Inspiration for the Next Generation of Artificial Immune Systems. ICARIS 2005: 126-138
- [c18]Thomas Stibor, Jonathan Timmis, Claudia Eckert: A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques. ICARIS 2005: 262-275
- [c17]Edward Clark, Andrew Hone, Jon Timmis: A Markov Chain Model of the B-Cell Algorithm. ICARIS 2005: 318-330
- [c16]Modupe Ayara, Jon Timmis, Rogério de Lemos, Simon Forrest: Immunising Automated Teller Machines. ICARIS 2005: 404-417
- [c15]Emma Hart, Jonathan Timmis: Application Areas of AIS: The Past, The Present and The Future. ICARIS 2005: 483-497
- [c14]Paul S. Andrews, Jon Timmis: On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNet. WIRN/NAIS 2005: 293-306
- [c13]
- [e4]Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis (Eds.): Advances in Artificial Life, 8th European Conference, ECAL 2005, Canterbury, UK, September 5-9, 2005, Proceedings. Lecture Notes in Computer Science 3630, Springer 2005, ISBN 3-540-28848-1
- [e3]Christian Jacob, Marcin L. Pilat, Peter J. Bentley, Jonathan Timmis (Eds.): Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings. Lecture Notes in Computer Science 3627, Springer 2005, ISBN 3-540-28175-4
- [i1]Jon Timmis, Martyn Amos, Wolfgang Banzhaf, Andy M. Tyrrell: "Going back to our roots": second generation biocomputing. CoRR abs/cs/0512071 (2005)
- 2004
- [j6]Jonathan Timmis: Exploiting the Immune System for Computation (Profile). IEEE Intelligent Informatics Bulletin 4: 1-2 (2004)
- [j5]Andrew Watkins, Jon Timmis, Lois Boggess: Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm. Genetic Programming and Evolvable Machines 5(3): 291-317 (2004)
- [c12]Jon Timmis, Camilla Edmonds: A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation. GECCO (1) 2004: 308-317
- [c11]Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell: Towards a Conceptual Framework for Artificial Immune Systems. ICARIS 2004: 53-64
- [c10]
- [c9]Philipp H. Mohr, Nick Ryan, Jon Timmis: Exploiting Immunological Properties for Ubiquitous Computing Systems. ICARIS 2004: 277-289
- [c8]Andrew Watkins, Jon Timmis: Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier. ICARIS 2004: 427-438
- [e2]Giuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis (Eds.): Artificial Immune Systems, Third International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004. Lecture Notes in Computer Science 3239, Springer 2004, ISBN 3-540-23097-1
- 2003
- [j4]Peter J. Bentley, Jon Timmis: Guest Editorial Special Issue on Artificial Immune Systems. Genetic Programming and Evolvable Machines 4(4): 307-309 (2003)
- [j3]Mark James Neal, Jon Timmis: Timidity: A Useful Emotional Mechanism for Robot Control?. Informatica (Slovenia) 27(2): 197-204 (2003)
- [j2]Leandro Nunes de Castro, Jon Timmis: Artificial immune systems as a novel soft computing paradigm. Soft Comput. 7(8): 526-544 (2003)
- [c7]Andrew Secker, Alex Alves Freitas, Jon Timmis: AISEC: an artificial immune system for e-mail classification. IEEE Congress on Evolutionary Computation (1) 2003: 131-138
- [c6]Johnny Kelsey, Jonathan Timmis, Andrew Hone: Chasing chaos. IEEE Congress on Evolutionary Computation (1) 2003: 413-419
- [c5]Johnny Kelsey, Jon Timmis: Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation. GECCO 2003: 207-218
- [c4]Peter May, Keith Mander, Jon Timmis: Software Vaccination: An Artificial Immune System Approach to Mutation Testing. ICARIS 2003: 81-92
- [c3]Andrew Secker, Alex Alves Freitas, Jon Timmis: A Danger Theory Inspired Approach to Web Mining. ICARIS 2003: 156-167
- [c2]Alex Alves Freitas, Jon Timmis: Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective. ICARIS 2003: 229-241
- [e1]Jon Timmis, Peter J. Bentley, Emma Hart (Eds.): Artificial Immune Systems, Second International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003, Proceedings. Lecture Notes in Computer Science 2787, Springer 2003, ISBN 3-540-40766-9
- 2002
- [b1]Leandro Nunes de Castro, Jonathan Timmis: Artificial immune systems - a new computational intelligence paradigm. Springer 2002, ISBN 978-1-85233-594-6, pp. I-XVIII, 1-357
- 2001
- [j1]Jon Timmis, Mark James Neal: A resource limited artificial immune system for data analysis. Knowl.-Based Syst. 14(3-4): 121-130 (2001)
- [c1]
Coauthor Index
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last updated on 2013-06-11 21:38 CEST by the dblp team