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Jon Timmis
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- affiliation: University of York, UK
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2020 – today
- 2020
[j64]Mark N. Read
, Kieran Alden, Jon Timmis, Paul S. Andrews:
Strategies for calibrating models of biology. Briefings Bioinform. 21(1): 24-35 (2020)- [j63]Kieran Alden, Jason Cosgrove, Mark Coles, Jon Timmis:
Using Emulation to Engineer and Understand Simulations of Biological Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 302-315 (2020) - [c139]Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Wei Li, Matthew F. Hale, Mike Angus, Robert Woolley, Alan F. T. Winfield, Jon Timmis, Andy M. Tyrrell:
Evolution of Diverse, Manufacturable Robot Body Plans. SSCI 2020: 2132-2139 - [c138]Matthew F. Hale, Mike Angus, Edgar Buchanan, Wei Li, Robert Woolley, Léni K. Le Goff, Matteo De Carlo, Jon Timmis, Alan F. T. Winfield, Emma Hart, Ágoston E. Eiben, Andy M. Tyrrell:
Hardware Design for Autonomous Robot Evolution. SSCI 2020: 2140-2147
2010 – 2019
- 2019
- [j62]Simon J. Hickinbotham, Susan Stepney, Jon Timmis:
Erratum to: NACO special issue editorial. Nat. Comput. 18(1): 3 (2019) - [j61]Ana Cavalcanti, Augusto Sampaio, Alvaro Miyazawa, Pedro Ribeiro, Madiel Conserva Filho, André Didier, Wei Li, Jon Timmis:
Verified simulation for robotics. Sci. Comput. Program. 174: 1-37 (2019) - [j60]Alvaro Miyazawa, Pedro Ribeiro, Wei Li, Ana Cavalcanti, Jon Timmis, Jim Woodcock:
RoboChart: modelling and verification of the functional behaviour of robotic applications. Softw. Syst. Model. 18(5): 3097-3149 (2019) - [j59]Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, Alan G. Millard, James A. Hilder, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. IEEE Trans. Neural Networks Learn. Syst. 30(3): 865-875 (2019) - [j58]Danesh Tarapore, Jon Timmis, Anders Lyhne Christensen:
Fault Detection in a Swarm of Physical Robots Based on Behavioral Outlier Detection. IEEE Trans. Robotics 35(6): 1516-1522 (2019) - [c137]Naomi Gildert, Andrew Pomfret, Jon Timmis:
Comparing The Performance of Explicit and Implicit Communication in Simple Object Manipulation Tasks. CASE 2019: 1456-1462 - [c136]Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James A. Hilder:
Autonomous Learning Paradigm for Spiking Neural Networks. ICANN (1) 2019: 737-744 - [c135]Alessio Greco, Salvatore Danilo Riccio, Jon Timmis, Giuseppe Nicosia:
Assessing Algorithm Parameter Importance Using Global Sensitivity Analysis. SEA² 2019: 392-407 - [c134]Robert H. Peck, Jon Timmis, Andy M. Tyrrell:
Omni-Pi-tent: An Omnidirectional Modular Robot With Genderless Docking. TAROS (2) 2019: 307-318 - 2018
- [j57]Naomi Gildert, Alan G. Millard, Andrew Pomfret, Jon Timmis:
The Need for Combining Implicit and Explicit Communication in Cooperative Robotic Systems. Frontiers Robotics AI 5: 65 (2018) - [j56]James O'Keeffe, Danesh Tarapore, Alan G. Millard, Jon Timmis:
Adaptive Online Fault Diagnosis in Autonomous Robot Swarms. Frontiers Robotics AI 5: 131 (2018) - [j55]Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(2): 687-699 (2018) - [c133]Ana Cavalcanti, Alvaro Miyazawa, Augusto Sampaio, Wei Li, Pedro Ribeiro, Jon Timmis:
Modelling and Verification for Swarm Robotics. IFM 2018: 1-19 - [c132]Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson:
FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. ISCAS 2018: 1-5 - [c131]James Wilson, Jon Timmis, Andy M. Tyrrell:
A Hormone-Inspired Arbitration System For Self Identifying Abilities Amongst A Heterogeneous Robot Swarm. SSCI 2018: 843-850 - [c130]Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. SSCI 2018: 1076-1083 - [c129]James Wilson, Jon Timmis, Andy M. Tyrrell:
A Hormone Arbitration System for Energy Efficient Foraging in Robot Swarms. TAROS 2018: 305-316 - [c128]Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. VLSI Design 2018: 49-54 - [i5]James Stovold, Simon O'Keefe, Jon Timmis:
Cognitively-inspired homeostatic architecture can balance conflicting needs in robots. CoRR abs/1811.10033 (2018) - 2017
- [j54]Stephanie Evans, Kieran Alden, Lourdes Cucurull-Sanchez, Christopher Larminie, Mark Coles, Marika C. Kullberg, Jon Timmis:
ASPASIA: A toolkit for evaluating the effects of biological interventions on SBML model behaviour. PLoS Comput. Biol. 13(2) (2017) - [j53]Kieran Alden, Jon Timmis, Paul S. Andrews, Henrique Veiga-Fernandes, Mark Coles:
Extending and Applying Spartan to Perform Temporal Sensitivity Analyses for Predicting Changes in Influential Biological Pathways in Computational Models. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 431-442 (2017) - [c127]Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. CEC 2017: 249-256 - [c126]Hao Wei, Jon Timmis, Rob Alexander:
Evolving test environments to identify faults in swarm robotics algorithms. CEC 2017: 929-935 - [c125]Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday:
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs. FPT 2017: 195-198 - [c124]Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. ICONIP (6) 2017: 384-392 - [c123]Pedro Ribeiro, Alvaro Miyazawa, Wei Li, Ana Cavalcanti, Jon Timmis:
Modelling and Verification of Timed Robotic Controllers. IFM 2017: 18-33 - [c122]Richard Redpath, Jon Timmis, Martin Trefzer:
Object recall using an experience database to accelerate robot action planning. IROS 2017: 1566-1571 - [c121]Alvaro Miyazawa, Pedro Ribeiro, Wei Li, Ana Cavalcanti, Jon Timmis:
Automatic property checking of robotic applications. IROS 2017: 3869-3876 - [c120]Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson:
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. ISVLSI 2017: 421-426 - [c119]James O'Keeffe, Danesh Tarapore, Alan G. Millard, Jon Timmis:
Fault diagnosis in robot swarms: An adaptive online behaviour characterisation approach. SSCI 2017: 1-8 - [c118]James O'Keeffe, Danesh Tarapore, Alan G. Millard, Jon Timmis:
Towards Fault Diagnosis in Robot Swarms: An Online Behaviour Characterisation Approach. TAROS 2017: 393-407 - [r3]Jon Timmis:
Artificial Immune Systems. Encyclopedia of Machine Learning and Data Mining 2017: 61-65 - [i4]Wei Li, Alvaro Miyazawa, Pedro Ribeiro, Ana Cavalcanti, Jim Woodcock, Jon Timmis:
From Formalised State Machines to Implementations of Robotic Controllers. CoRR abs/1702.01783 (2017) - 2016
- [j52]Jonathan Timmis, Amelia Ritahani Ismail, Jan Dyre Bjerknes, Alan F. T. Winfield:
An immune-inspired swarm aggregation algorithm for self-healing swarm robotic systems. Biosyst. 146: 60-76 (2016) - [j51]Heiko Hamann, Yara Khaluf, Jean Botev, Mohammad Divband Soorati, Eliseo Ferrante, Oliver Kosak, Jean-Marc Montanier, Sanaz Mostaghim, Richard Redpath, Jon Timmis, Frank Veenstra, Mostafa Wahby, Ales Zamuda:
Hybrid Societies: Challenges and Perspectives in the Design of Collective Behavior in Self-organizing Systems. Frontiers Robotics AI 3: 14 (2016) - [j50]Mark N. Read, Jacqueline Bailey, Jon Timmis, Tatyana Chtanova:
Leukocyte Motility Models Assessed through Simulation and Multi-objective Optimization-Based Model Selection. PLoS Comput. Biol. 12(9) (2016) - [c117]Edgar Buchanan, Andrew Pomfret, Jon Timmis:
Dynamic Task Partitioning for Foraging Robot Swarms. ANTS Conference 2016: 113-124 - [c116]Wei Li, Alvaro Miyazawa, Pedro Ribeiro, Ana Cavalcanti, Jim Woodcock, Jon Timmis:
From Formalised State Machines to Implementations of Robotic Controllers. DARS 2016: 517-529 - [c115]TiongHoo Lim, Iain Bate, Jon Timmis:
Competition: Multimodal Reactive-Routing Protocol to Tolerate Failure. EWSN 2016: 305-306 - [c114]Junxiu Liu, Jim Harkin, Liam McDaid, David M. Halliday, Andy M. Tyrrell, Jon Timmis:
Self-repairing mobile robotic car using astrocyte-neuron networks. IJCNN 2016: 1379-1386 - [c113]Anju P. Johnson, David M. Halliday, Alan G. Millard, Andy M. Tyrrell, Jon Timmis, Junxiu Liu, Jim Harkin, Liam McDaid, Shvan Karim:
An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. SSCI 2016: 1-8 - [c112]James A. Hilder, Alexander Horsfield, Alan G. Millard, Jon Timmis:
The Psi Swarm: A Low-Cost Robotics Platform and Its Use in an Education Setting. TAROS 2016: 158-164 - [c111]Richard Redpath, Jon Timmis, Martin A. Trefzer:
Introducing a 3D Physics Simulation Plugin for the ARGoS Robot Simulator. TAROS 2016: 269-274 - 2015
- [j49]Kieran Alden, Paul S. Andrews, Henrique Veiga-Fernandes, Jon Timmis, Mark Coles:
Utilising a simulation platform to understand the effect of domain model assumptions. Nat. Comput. 14(1): 99-107 (2015) - [c110]Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis:
Abnormality Detection in Robots Exhibiting Composite Swarm Behaviours. ECAL 2015: 406-413 - [c109]Mark Read, Jon Timmis, Tatyana Chtanova:
Simulation-Based Analysis of in Situ Cellular Motility. ECAL 2015: 637 - [c108]Shana Schlottfeldt, Jon Timmis, Maria Emilia Telles Walter, André Carlos Ponce de Leon Ferreira de Carvalho, Lorena M. Simon, Rafael D. Loyola, José Alexandre Felizola Diniz-Filho:
A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning. EMO (2) 2015: 458-472 - [c107]Shana Schlottfeldt, Maria Emilia M. T. Walter, Jon Timmis, André C. P. L. F. de Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho:
Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers. GECCO 2015: 1271-1278 - [c106]Amelia Ritahani Ismail, Jan Dyre Bjerknes, Jon Timmis, Alan F. T. Winfield:
An Artificial Immune System for Self-Healing in Swarm Robotic Systems. IPCAT 2015: 61-74 - [c105]Piero Conca, Jon Timmis, Rogério de Lemos, Simon Forrest, Heather McCracken:
An Adaptive Classification Framework for Unsupervised Model Updating in Nonstationary Environments. MOD 2015: 171-184 - [p2]Alan F. T. Winfield, Jon Timmis:
Evolvable Robot Hardware. Evolvable Hardware 2015: 331-348 - [e10]Paul S. Andrews, Leo S. D. Caves, René Doursat, Simon J. Hickinbotham, Fiona A. C. Polack, Susan Stepney, Tim Taylor, Jon Timmis:
Proceedings of the Thirteenth European Conference Artificial Life, ECAL 2015, York, UK, July 20-24, 2015. MIT Press 2015, ISBN 978-0-262-33027-5 [contents] - 2014
- [j48]Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Computational Models of the NF-KB Signalling Pathway. Comput. 2(4): 131-158 (2014) - [j47]TiongHoo Lim, Iain Bate, Jonathan Timmis:
A self-adaptive fault-tolerant systems for a dependable Wireless Sensor Networks. Des. Autom. Embed. Syst. 18(3-4): 223-250 (2014) - [j46]Omer Qadir, Alexander Lenz, Gianluca Tempesti, Jon Timmis, Tony Pipe, Andy M. Tyrrell:
Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance. Genet. Program. Evolvable Mach. 15(3): 245-274 (2014) - [c104]Anna Ladi, Jonathan Timmis, Andy M. Tyrrell, Peter J. Hickey:
Statistical hypothesis testing for chemical detection in changing environments. CIDUE 2014: 77-84 - [c103]Shana Schlottfeldt, Jon Timmis, Maria Emilia M. T. Walter, André C. P. L. F. de Carvalho, José Alexandre Felizola Diniz-Filho, Lorena M. Simon, Rafael D. Loyola, Mariana P. C. Telles:
Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change. GECCO (Companion) 2014: 177-178 - [c102]Alan G. Millard, Jon Timmis, Alan F. T. Winfield:
Run-time detection of faults in autonomous mobile robots based on the comparison of simulated and real robot behaviour. IROS 2014: 3720-3725 - [c101]James A. Hilder, Rebecca Naylor, Artjoms Rizihs, Daniel Franks, Jonathan Timmis:
The Pi Swarm: A Low-Cost Platform for Swarm Robotics Research and Education. TAROS 2014: 151-162 - 2013
- [j45]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. Biosyst. 112(2): 107-121 (2013) - [j44]Richard Alun 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 Bioinform. 14(S-6): S9 (2013) - [j43]Kieran Alden, Mark Read, Jonathan Timmis, Paul S. Andrews, Henrique Veiga-Fernandes, Mark Coles:
Spartan: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PLoS Comput. Biol. 9(2) (2013) - [j42]Luca Albergante, Jon Timmis, Lynette Beattie, Paul M. Kaye:
A Petri Net Model of Granulomatous Inflammation: Implications for IL-10 Mediated Control of Leishmania donovani Infection. PLoS Comput. Biol. 9(11) (2013) - [j41]Lachlan Murray, Jon Timmis, Andy M. Tyrrell:
Modular self-assembling and self-reconfiguring e-pucks. Swarm Intell. 7(2-3): 83-113 (2013) - [j40]Nick D. L. Owens, Andrew J. Greensted, Jon Timmis, Andy M. Tyrrell:
The Receptor Density Algorithm. Theor. Comput. Sci. 481: 51-73 (2013) - [c100]Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack:
Scenario-based modeling to capture requirements for immune inspired profile adaptation. CITA 2013: 1-6 - [c99]HuiKeng Lau, Iain Bate, Jon Timmis:
Immune-Inspired Error Detection for Multiple Faulty Robots in Swarm Robotics. ECAL 2013: 846-853 - [c98]Mark Read, Magnus Tripp, Hannah Leonova, Louis M. Rose, Jon Timmis:
Automated calibration of agent-based immunological simulations. ECAL 2013: 874-875 - [c97]Paul N. Taylor, Fiona Polack, Jon Timmis:
Accelerating Immunos 99. ECAL 2013: 893-898 - [c96]Ágoston E. Eiben, Nicolas Bredèche, Mark Hoogendoorn, Jürgen Stradner, Jon Timmis, Andy M. Tyrrell, Alan F. T. Winfield:
The Triangle of Life. ECAL 2013: 1056-1063 - [c95]Mark Read, Christoph Möslinger, Tobias Dipper, Daniela Kengyel, James A. Hilder, Ronald Thenius, Andy M. Tyrrell, Jon Timmis, Thomas Schmickl:
Profiling Underwater Swarm Robotic Shoaling Performance Using Simulation. TAROS 2013: 404-416 - [c94]Alan G. Millard, Jon Timmis, Alan F. T. Winfield:
Towards Exogenous Fault Detection in Swarm Robotic Systems. TAROS 2013: 429-430 - 2012
- [j39]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. Int. J. Adapt. Resilient Auton. Syst. 3(4): 32-50 (2012) - [j38]Jon Timmis, Kenichi Morita:
Editorial for special issue on unconventional computation. Nat. Comput. 11(1): 65-66 (2012) - [j37]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 Trans. Syst. Man Cybern. Part C 42(6): 1730-1741 (2012) - [c93]Omer Qadir, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell:
Profiling the fault tolerance for the adaptive Protein Processing Associative Memory. AHS 2012: 246-253 - [c92]Lachlan Murray, Jon Timmis, Andy M. Tyrrell:
Self-reconfigurable Modular e-pucks. ANTS 2012: 133-144 - [c91]TiongHoo Lim, Iain Bate, Jon Timmis:
Validation of performance data using experimental verification process in wireless sensor network. ETFA 2012: 1-8 - [c90]TiongHoo Lim, HuiKeng Lau, Jon Timmis, Iain Bate:
Immune-Inspired Self Healing in Wireless Sensor Networks. ICARIS 2012: 42-56 - [c89]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 - [p1]Mark Read, Paul S. Andrews, Jon Timmis:
An Introduction to Artificial Immune Systems. Handbook of Natural Computing 2012: 1575-1597 - [e9]Emma Hart, Jon Timmis, Paul D. Mitchell, Takadash Nakamo, Foad Dabiri:
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 [contents] - 2011
- [j36]Omer Qadir, Yang 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) - [j35]Emma Hart, Chris McEwan, Jon Timmis, Andrew Hone:
Advances in artificial immune systems. Evol. Intell. 4(2): 67-68 (2011) - [j34]Jon Timmis, Paul S. Andrews, Susan Stepney:
Editorial for special issue on the interaction between computation and biology. Nat. Comput. 10(1): 187-188 (2011) - [j33]HuiKeng Lau, Iain Bate, Paul A. Cairns, Jon Timmis:
Adaptive data-driven error detection in swarm robotics with statistical classifiers. Robotics Auton. Syst. 59(12): 1021-1035 (2011) - [j32]Jon Timmis, Paul S. Andrews, Andrew Hone:
Preface. Theor. Comput. Sci. 412(6): 500-501 (2011) - [c88]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 - [c87]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 - [c86]Nurulhuda Firdaus Mohd Azmi, Fiona Polack, Jon Timmis:
Immune Inspired Adaptive Information Filtering: Focusing on Profile Adaptation. BIONETICS 2011: 242-247 - [c85]Omer Qadir, Yang 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 - [c84]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 - [c83]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 - [c82]Richard Alun 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 - [c81]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 - [c80]Amelia Ritahani Ismail, Jon Timmis:
Modelling Containment Mechanisms in the Immune System for Applications in Engineering - (Extended Abstract). ICARIS 2011: 77-80 - [c79]Yang Liu, Jon Timmis, Tim Clarke:
A Lymphocyte-Cytokine Network Inspired Algorithm for Data Analysis. ICARIS 2011: 187-197 - [c78]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 - [c77]HuiKeng Lau, Jon Timmis, Iain Bate:
Collective Self-detection Scheme for Adaptive Error Detection in a Foraging Swarm of Robots. ICARIS 2011: 254-267 - [c76]Martin Drozda, Iain Bate, Jon Timmis:
Bio-inspired Error Detection for Complex Systems. PRDC 2011: 154-163 - [c75]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 - [c74]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
- [j31]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. Int. J. Data Min. Bioinform. 4(2): 191-210 (2010) - [j30]Andrew MacFarlane, Andrew Secker, Peter May, Jonathan Timmis:
An experimental comparison of a genetic algorithm and a hill-climber for term selection. J. Documentation 66(4): 513-531 (2010) - [j29]Leandro Nunes de Castro, Jon Timmis, Helder Knidel, Fernando J. Von Zuben:
Artificial Immune Systems: structure, function, diversity and an application to biclustering. Nat. Comput. 9(3): 575-577 (2010) - [j28]Xiao Zhi Gao, Mo-Yuen Chow, David Pelta, Jon Timmis:
Special Issue on Artificial Immune Systems: Theory and Applications. Neural Comput. Appl. 19(4): 647 (2010) - [j27]Xiao Zhi Gao, Mo-Yuen Chow, David Pelta, Jon Timmis:
Theory and applications of artificial immune systems. Neural Comput. Appl. 19(8): 1101-1102 (2010) - [j26]