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Jon Timmis
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- affiliation: University of York, UK
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2020 – today
- 2024
[j75]Wei Li
, Pedro Ribeiro, Alvaro Miyazawa, Richard Redpath, Ana Cavalcanti, Kieran Alden, Jim Woodcock, Jon Timmis:
Formal design, verification and implementation of robotic controller software via RoboChart and RoboTool. Auton. Robots 48(6-7): 14 (2024)- [j74]Ana Cavalcanti, Alvaro Miyazawa, Jon Timmis:
Software engineering for robotics. Robotics Auton. Syst. 174: 104648 (2024) - [j73]Edgar Buchanan, Leni K. Le Goff, Matthew F. Hale, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Mike Angus, Robert Woolley, Jon Timmis, Alan F. T. Winfield, Andrew M. Tyrrell:
Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics. Robotics 13(11): 157 (2024) - [j72]Wei Li, Edgar Buchanan, Léni K. Le Goff, Emma Hart, Matthew F. Hale, Bingsheng Wei, Matteo De Carlo, Mike Angus, Robert Woolley, Zhongxue Gan, Alan F. T. Winfield, Jon Timmis, Ágoston E. Eiben, Andy M. Tyrrell:
Evaluation of Frameworks That Combine Evolution and Learning to Design Robots in Complex Morphological Spaces. IEEE Trans. Evol. Comput. 28(6): 1561-1574 (2024) - 2023
- [j71]Mike Angus, Edgar Buchanan, Léni K. Le Goff, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Jon Timmis, Andy M. Tyrrell:
Practical hardware for evolvable robots. Frontiers Robotics AI 10 (2023) - [j70]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism. IEEE Trans. Cogn. Dev. Syst. 15(2): 507-517 (2023) - [c147]Ana Cavalcanti, Alvaro Miyazawa, Uwe Schulze, Jon Timmis:
Bringing RoboStar and RT-Tester Together. Applicable Formal Methods for Safe Industrial Products 2023: 16-33 - 2022
- [j69]Edgar Buchanan, Kieran Alden, Andrew Pomfret, Jon Timmis, Andy M. Tyrrell:
A study of error diversity in robotic swarms for task partitioning in foraging tasks. Frontiers Robotics AI 9 (2022) - [j68]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies. Swarm Evol. Comput. 74: 101130 (2022) - [i7]Varun Ojha, Jon Timmis, Giuseppe Nicosia:
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies. CoRR abs/2207.04820 (2022) - 2021
- [j67]Robert Woolley, Jon Timmis, Andy M. Tyrrell:
Cylindabot: Transformable Wheg Robot Traversing Stepped and Sloped Environments. Robotics 10(3): 104 (2021) - [i6]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Morpho-evolution with learning using a controller archive as an inheritance mechanism. CoRR abs/2104.04269 (2021) - 2020
- [j66]Mark N. Read, Kieran Alden, Jon Timmis, Paul S. Andrews:
Strategies for calibrating models of biology. Briefings Bioinform. 21(1): 24-35 (2020) - [j65]Edgar Buchanan, Léni K. Le Goff, Wei Li, Emma Hart, Ágoston E. Eiben, Matteo De Carlo, Alan F. T. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell:
Bootstrapping Artificial Evolution to Design Robots for Autonomous Fabrication. Robotics 9(4): 106 (2020) - [j64]Kieran Alden, Jason Cosgrove, Mark C. Coles, Jon Timmis:
Using Emulation to Engineer and Understand Simulations of Biological Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 302-315 (2020) - [c146]Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li, Matteo De Carlo, Matthew F. Hale, Mike Angus, Robert Woolley, Jon Timmis, Alan F. T. Winfield, Andrew M. Tyrrell:
Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. ALIFE 2020: 432-440 - [c145]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 - [c144]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
- [j63]Simon J. Hickinbotham, Susan Stepney, Jon Timmis:
Erratum to: NACO special issue editorial. Nat. Comput. 18(1): 3 (2019) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [c143]Naomi Gildert, Andrew Pomfret, Jon Timmis:
Comparing The Performance of Explicit and Implicit Communication in Simple Object Manipulation Tasks. CASE 2019: 1456-1462 - [c142]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 - [c141]Matthew F. Hale, Edgar Buchanan, Alan F. T. Winfield, Jon Timmis, Emma Hart, Ágoston E. Eiben, Mike Angus, Frank Veenstra, Wei Li, Robert Woolley, Matteo De Carlo, Andy M. Tyrrell:
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. ALIFE 2019: 95-102 - [c140]Alessio Greco, Salvatore Danilo Riccio, Jon Timmis, Giuseppe Nicosia:
Assessing Algorithm Parameter Importance Using Global Sensitivity Analysis. SEA² 2019: 392-407 - [c139]Robert H. Peck, Jon Timmis, Andy M. Tyrrell:
Omni-Pi-tent: An Omnidirectional Modular Robot With Genderless Docking. TAROS (2) 2019: 307-318 - 2018
- [j58]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) - [j57]James O'Keeffe, Danesh Tarapore, Alan G. Millard, Jon Timmis:
Adaptive Online Fault Diagnosis in Autonomous Robot Swarms. Frontiers Robotics AI 5: 131 (2018) - [j56]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) - [c138]Ana Cavalcanti, Alvaro Miyazawa, Augusto Sampaio, Wei Li, Pedro Ribeiro, Jon Timmis:
Modelling and Verification for Swarm Robotics. IFM 2018: 1-19 - [c137]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 - [c136]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 - [c135]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 - [c134]James Wilson, Jon Timmis, Andy M. Tyrrell:
A Hormone Arbitration System for Energy Efficient Foraging in Robot Swarms. TAROS 2018: 305-316 - [c133]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. VLSID 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
- [j55]Stephanie Evans, Kieran Alden, Lourdes Cucurull-Sanchez, Christopher Larminie, Mark C. 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) - [j54]Kieran Alden, Jon Timmis, Paul S. Andrews, Henrique Veiga-Fernandes, Mark C. 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) - [c132]Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. CEC 2017: 249-256 - [c131]Hao Wei, Jon Timmis, Rob Alexander:
Evolving test environments to identify faults in swarm robotics algorithms. CEC 2017: 929-935 - [c130]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 - [c129]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 - [c128]Pedro Ribeiro, Alvaro Miyazawa, Wei Li, Ana Cavalcanti, Jon Timmis:
Modelling and Verification of Timed Robotic Controllers. IFM 2017: 18-33 - [c127]Richard Redpath, Jon Timmis, Martin Trefzer:
Object recall using an experience database to accelerate robot action planning. IROS 2017: 1566-1571 - [c126]Alvaro Miyazawa, Pedro Ribeiro, Wei Li, Ana Cavalcanti, Jon Timmis:
Automatic property checking of robotic applications. IROS 2017: 3869-3876 - [c125]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 - [c124]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 - [c123]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
- [j53]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) - [j52]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) - [j51]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) - [c122]Edgar Buchanan, Andrew Pomfret, Jon Timmis:
Dynamic Task Partitioning for Foraging Robot Swarms. ANTS Conference 2016: 113-124 - [c121]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 - [c120]TiongHoo Lim, Iain Bate, Jon Timmis:
Competition: Multimodal Reactive-Routing Protocol to Tolerate Failure. EWSN 2016: 305-306 - [c119]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 - [c118]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 - [c117]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 - [c116]Richard Redpath, Jon Timmis, Martin A. Trefzer:
Introducing a 3D Physics Simulation Plugin for the ARGoS Robot Simulator. TAROS 2016: 269-274 - 2015
- [j50]Kieran Alden, Paul S. Andrews, Henrique Veiga-Fernandes, Jon Timmis, Mark C. Coles:
Utilising a simulation platform to understand the effect of domain model assumptions. Nat. Comput. 14(1): 99-107 (2015) - [c115]Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis:
Abnormality Detection in Robots Exhibiting Composite Swarm Behaviours. ECAL 2015: 406-413 - [c114]Mark Read, Jon Timmis, Tatyana Chtanova:
Simulation-Based Analysis of in Situ Cellular Motility. ECAL 2015: 637 - [c113]Shana Schlottfeldt, Jon Timmis, Maria Emília 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 - [c112]Shana Schlottfeldt, Maria Emília 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 - [c111]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 - [c110]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
- [j49]Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Computational Models of the NF-KB Signalling Pathway. Comput. 2(4): 131-158 (2014) - [j48]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) - [j47]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) - [j46]Kieran Alden, Mark Read, Paul S. Andrews, Jon Timmis, Mark C. Coles:
Applying spartan to Understand Parameter Uncertainty in Simulations. R J. 6(2): 63 (2014) - [c109]Becky Naylor, Mark Read, Jon Timmis, Andy Tyrell:
The Relay Chain: A Scalable Dynamic Communication Link between an Exploratory Underwater Shoal and a Surface Vehicle. ALIFE 2014: 290-297 - [c108]James A. Butler, Kieran Alden, Henrique Veiga-Fernandes, Jon Timmis, Mark C. Coles:
Novel Approaches to the Visualization and Quantification of Biological Simulations by Emulating Experimental Techniques. ALIFE 2014: 614-621 - [c107]Kieran Alden, Jon Timmis, Mark C. Coles:
Easing Parameter Sensitivity Analysis of Netlogo Simulations Using SPARTAN. ALIFE 2014: 622-628 - [c106]James Stovold, Simon O'Keefe, Jon Timmis:
Preserving Swarm Identity Over Time. ALIFE 2014: 726-733 - [c105]Anna Ladi, Jonathan Timmis, Andy M. Tyrrell, Peter J. Hickey:
Statistical hypothesis testing for chemical detection in changing environments. CIDUE 2014: 77-84 - [c104]Shana Schlottfeldt, Jon Timmis, Maria Emília 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 - [c103]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 - [c102]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 C. 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) - [c101]Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack:
Scenario-based modeling to capture requirements for immune inspired profile adaptation. CITA 2013: 1-6 - [c100]HuiKeng Lau, Iain Bate, Jon Timmis:
Immune-Inspired Error Detection for Multiple Faulty Robots in Swarm Robotics. ECAL 2013: 846-853 - [c99]Mark Read, Magnus Tripp, Hannah Leonova, Louis M. Rose, Jon Timmis:
Automated calibration of agent-based immunological simulations. ECAL 2013: 874-875 - [c98]Paul N. Taylor, Fiona Polack, Jon Timmis:
Accelerating Immunos 99. ECAL 2013: 893-898 - [c97]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 - [c96]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 - [c95]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) - [c94]Omer Qadir, Jon Timmis, Gianluca Tempesti, Andy M. Tyrrell:
Profiling the fault tolerance for the adaptive Protein Processing Associative Memory. AHS 2012: 246-253 - [c93]Lachlan Murray, Jon Timmis, Andy M. Tyrrell:
Self-reconfigurable Modular e-pucks. ANTS 2012: 133-144 - [c92]TiongHoo Lim, Iain Bate, Jon Timmis:
Validation of performance data using experimental verification process in wireless sensor network. ETFA 2012: 1-8 - [c91]TiongHoo Lim, HuiKeng Lau, Jon Timmis, Iain Bate:
Immune-Inspired Self Healing in Wireless Sensor Networks. ICARIS 2012: 42-56 - [c90]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) - [c89]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 - [c88]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 - [c87]Nurulhuda Firdaus Mohd Azmi, Fiona Polack, Jon Timmis:
Immune Inspired Adaptive Information Filtering: Focusing on Profile Adaptation. BIONETICS 2011: 242-247 - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]Kieran Alden, Paul S. Andrews, Jon Timmis, Henrique Veiga-Fernandes, Mark C. Coles:
Towards Argument-Driven Validation of an in silico Model of Immune Tissue Organogenesis. ICARIS 2011: 66-70 - [c81]Amelia Ritahani Ismail, Jon Timmis:
Modelling Containment Mechanisms in the Immune System for Applications in Engineering - (Extended Abstract). ICARIS 2011: 77-80 - [c80]Yang Liu, Jon Timmis, Tim Clarke:
A Lymphocyte-Cytokine Network Inspired Algorithm for Data Analysis. ICARIS 2011: 187-197 - [c79]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 - [c78]HuiKeng Lau, Jon Timmis, Iain Bate:
Collective Self-detection Scheme for Adaptive Error Detection in a Foraging Swarm of Robots. ICARIS 2011: 254-267 - [c77]Martin Drozda, Iain Bate, Jon Timmis:
Bio-inspired Error Detection for Complex Systems. PRDC 2011: 154-163 - [c76]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 - [c75]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]Jon Timmis, Paul S. Andrews, Emma Hart:
Special issue on artificial immune systems. Swarm Intell. 4(4): 245-246 (2010) - [j25]Jon Timmis, Paul S. Andrews, Emma Hart:
On artificial immune systems and swarm intelligence. Swarm Intell. 4(4): 247-273 (2010) - [c74]Jennifer Owen, Susan Stepney, Jonathan Timmis, Alan F. T. Winfield:
Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics. ANTS Conference 2010: 432-439 - [c73]Ran Bi, Jon Timmis, Andy M. Tyrrell:
The Diagnostic Dendritic Cell Algorithm for robotic systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c72]Omer Qadir, Yang 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 - [c71]Luca Albergante, Jon Timmis, Paul S. Andrews, Lynette Beattie, Paul M. Kaye:
A Petri Net Model of Granulomatous Inflammation. ICARIS 2010: 1-3 - [c70]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 - [c69]Jon Timmis, Andy M. Tyrrell:
On Homeostasis in Collective Robotic Systems. ICARIS 2010: 307-309 - [c68]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 - [c67]Amelia Ritahani Ismail, Jon Timmis:
Towards Self-Healing Swarm Robotic Systems Inspired by Granuloma Formation. ICECCS 2010: 313-314 - [c66]Nurulhuda Firdaus Mohd Azmi, Jon Timmis, Fiona Polack:
Towards a Principled Design of Bio-inspired Solutions to Adaptive Information Filtering. ICECCS 2010: 315-316 - [c65]Peter A. Lindsay, Franz J. Rammig, Mike Hinchey, Jon Timmis:
Preface. DIPES/BICC 2010: 219 - [c64]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:
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 [contents] - [e7]Mike Hinchey, Bernd Kleinjohann, Lisa Kleinjohann, Peter A. Lindsay, Franz J. Rammig, Jon Timmis, Marilyn Wolf:
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 [contents] - [e6]Cristian S. Calude, Masami Hagiya, Kenichi Morita, Grzegorz Rozenberg, Jon Timmis:
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 [contents] - [r2]Jon Timmis:
Artificial Immune Systems. Encyclopedia of Machine Learning 2010: 40-44
2000 – 2009
- 2009
- [j24]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) - [c63]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 - [c62]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 - [c61]HuiKeng Lau, Jon Timmis, Iain Bate:
Anomaly detection inspired by immune network theory: A proposal. IEEE Congress on Evolutionary Computation 2009: 3045-3051 - [c60]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 - [c59]Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar:
Using UML to Model EAE and Its Regulatory Network. ICARIS 2009: 4-6 - [c58]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 - [c57]HuiKeng Lau, Iain Bate, Jon Timmis:
An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics. ICARIS 2009: 136-150 - [c56]Jonathan Timmis, Mark James Neal, James Thorniley:
An adaptive neuro-endocrine system for robotic systems. RiiSS 2009: 129-136 - [c55]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:
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 [contents] - [r1]Jon Timmis:
Immunecomputing. Encyclopedia of Complexity and Systems Science 2009: 4776-4788 - 2008
- [j23]Emma Hart, Jon Timmis:
Application areas of AIS: The past, the present and the future. Appl. Soft Comput. 8(1): 191-201 (2008) - [j22]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) - [j21]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Edward Clark, Jonathan Timmis, Darren R. Flower:
Optimizing amino acid groupings for GPCR classification. Bioinform. 24(18): 1980-1986 (2008) - [j20]Stephen L. Smith, Jon Timmis:
An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease. Biosyst. 94(1-2): 34-46 (2008) - [j19]Jonathan Timmis, Paul S. Andrews, Nick D. L. Owens, Edward Clark:
An interdisciplinary perspective on artificial immune systems. Evol. Intell. 1(1): 5-26 (2008) - [j18]Jonathan Timmis, Andrew Hone, Thomas Stibor, Edward Clark:
Theoretical advances in artificial immune systems. Theor. Comput. Sci. 403(1): 11-32 (2008) - [c54]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 - [c53]Fiona A. C. Polack, Tim Hoverd, Adam T. Sampson, Susan Stepney, Jon Timmis:
Complex Systems Models - Engineering Simulations. ALIFE 2008: 482-489 - [c52]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 - [c51]Adam Knowles, Jon Timmis, Rogério de Lemos, Simon Forrest, Heather McCracken:
Artificial iImmune systems for data fusion: A novel biologically inspired approach. FUSION 2008: 1-7 - [c50]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 - [c49]Yang Liu, Jon Timmis, Tim Clarke:
A Neuro-Immune Inspired Robust Real Time Visual Tracking System. ICARIS 2008: 188-199 - [c48]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 - [c47]Mark Read, Jon Timmis, Paul S. Andrews:
Empirical Investigation of an Artificial Cytokine Network. ICARIS 2008: 340-351 - [c46]Jonathan M. Aitken, Tim Clarke, Jonathan Timmis:
The Pathways of Complement. ICARIS 2008: 364-375 - [c45]Paul S. Andrews, Jon Timmis:
Adaptable Lymphocytes for Artificial Immune Systems. ICARIS 2008: 376-386 - [c44]Stephen L. Smith, Andrew J. Greensted, Jon Timmis:
Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis. ICES 2008: 34-46 - [c43]Jon Timmis, Emma Hart, Andy Hone, Mark James Neal, Adrian Robins, Susan Stepney, Andy M. Tyrrell:
Immuno-engineering. BICC 2008: 3-17 - [c42]Ruth Falconer, James Bown, Emma Hart, Jon Timmis:
A New Paradigm for SpeckNets: Inspiration from Fungal Colonies. SASO Workshops 2008: 90-95 - [c41]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 - [c40]Jon Timmis, Paul S. Andrews, Nick D. L. Owens, Edward Clark:
Immune Systems and Computation: An Interdisciplinary Adventure. UC 2008: 8-18 - 2007
- [j17]Matthew N. Davies, Andrew Secker, Alex Alves Freitas, Miguel Mendao, Jonathan Timmis, Darren R. Flower:
On the hierarchical classification of G protein-coupled receptors. Bioinform. 23(23): 3113-3118 (2007) - [j16]Jon Timmis:
Artificial immune systems - today and tomorrow. Nat. Comput. 6(1): 1-18 (2007) - [j15]Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis:
An Immune Algorithm for Protein Structure Prediction on Lattice Models. IEEE Trans. Evol. Comput. 11(1): 101-117 (2007) - [j14]Alex Alves Freitas, Jonathan Timmis:
Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evol. Comput. 11(4): 521-540 (2007) - [j13]Rogério de Lemos, Jonathan Timmis, Modupe Ayara, Simon Forrest:
Immune-Inspired Adaptable Error Detection for Automated Teller Machines. IEEE Trans. Syst. Man Cybern. Part C 37(5): 873-886 (2007) - [c39]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 - [c38]Thomas Knight, Jonathan Timmis:
Comparison of a multi-layered artificial immune system with a kohonen network. IEEE Congress on Evolutionary Computation 2007: 3735-3742 - [c37]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 - [c36]Thomas Stibor, Jonathan Timmis:
An Investigation on the Compression Quality of aiNet. FOCI 2007: 495-502 - [c35]Nick D. L. Owens, Jonathan Timmis, Andrew J. Greensted, Andy M. Tyrrell:
On Immune Inspired Homeostasis for Electronic Systems. ICARIS 2007: 216-227 - [c34]Peter May, Jon Timmis, Keith Mander:
Immune and Evolutionary Approaches to Software Mutation Testing. ICARIS 2007: 336-347 - [c33]Andy M. Tyrrell, Jon Timmis, Andrew J. Greensted, Nick D. L. Owens:
Evolvable Hardware, a Fundamental Technology for Homeostasis. WEAH 2007: 40-45 - 2006
- [j12]Jon Timmis, Martyn Amos, Wolfgang Banzhaf, Andy M. Tyrrell:
"Going Back to our Roots": Second Generation Biocomputing. Int. J. Unconv. Comput. 2(4): 349-378 (2006) - [j11]Thomas Stibor, Claudia Eckert, Jonathan Timmis:
Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit). it Inf. Technol. 48(3): 168-173 (2006) - [j10]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. Int. J. Parallel Emergent Distributed Syst. 21(2): 97-125 (2006) - [c32]Thomas Stibor, Jonathan Timmis, Claudia Eckert:
The Link between r-contiguous Detectors and k-CNF Satisfiability. IEEE Congress on Evolutionary Computation 2006: 491-498 - [c31]Le Xu, Mo-Yuen Chow, Jon Timmis, Leroy S. Taylor, Andrew B. Watkins:
On the Investigation of Artificial Immune Systems on Imbalanced Data Classification for Power Distribution System Fault Cause Identification. IEEE Congress on Evolutionary Computation 2006: 522-527 - [c30]Thomas Stibor, Jonathan Timmis, Claudia Eckert:
On Permutation Masks in Hamming Negative Selection. ICARIS 2006: 122-135 - [c29]Paul S. Andrews, Jon Timmis:
A Computational Model of Degeneracy in a Lymph Node. ICARIS 2006: 164-177 - [c28]Thomas Stibor, Jonathan Timmis, Claudia Eckert:
On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions. ICARIS 2006: 215-228 - [c27]Thomas Stibor, Jonathan Timmis, Claudia Eckert:
Generalization Regions in Hamming Negative Selection. Intelligent Information Systems 2006: 447-456 - 2005
- [j9]Jon Timmis, Susan Stepney, Peter J. Bentley, Giuseppe Nicosia, Vincenzo Cutello:
Introduction. Int. J. Unconv. Comput. 1(3): 197-199 (2005) - [j8]Susan Stepney, Robert Elliott Smith, Jonathan Timmis, Andy M. Tyrrell, Mark James Neal, Andrew N. W. Hone:
Conceptual Frameworks for Artificial Immune Systems. Int. J. Unconv. Comput. 1(3): 315-338 (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) - [c26]Thomas Stibor, Jonathan Timmis, Claudia 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 - [c25]Patrícia Amâncio Vargas, Renan Cipriano Moioli, Leandro Nunes de Castro, Jon Timmis, Mark James Neal, Fernando J. Von Zuben:
Artificial Homeostatic System: A Novel Approach. ECAL 2005: 754-764 - [c24]Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, Claudia Eckert:
Is negative selection appropriate for anomaly detection? GECCO 2005: 321-328 - [c23]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 - [c22]Paul S. Andrews, Jon Timmis:
Inspiration for the Next Generation of Artificial Immune Systems. ICARIS 2005: 126-138 - [c21]Thomas Stibor, Jonathan Timmis, Claudia Eckert:
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques. ICARIS 2005: 262-275 - [c20]Edward Clark, Andrew Hone, Jon Timmis:
A Markov Chain Model of the B-Cell Algorithm. ICARIS 2005: 318-330 - [c19]Modupe Ayara, Jon Timmis, Rogério de Lemos, Simon Forrest:
Immunising Automated Teller Machines. ICARIS 2005: 404-417 - [c18]Emma Hart, Jonathan Timmis:
Application Areas of AIS: The Past, The Present and The Future. ICARIS 2005: 483-497 - [c17]Paul S. Andrews, Jon Timmis:
On Diversity and Artificial Immune Systems: Incorporating a Diversity Operator into aiNet. WIRN/NAIS 2005: 293-306 - [c16]Jon Timmis:
Challenges for Artificial Immune Systems. WIRN/NAIS 2005: 355-367 - [e4]Mathieu S. Capcarrère, Alex Alves Freitas, Peter J. Bentley, Colin G. Johnson, Jon Timmis:
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 [contents] - [e3]Christian Jacob, Marcin L. Pilat, Peter J. Bentley, Jonathan Timmis:
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 [contents] - [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 Intell. Informatics Bull. 4: 1-2 (2004) - [j5]Andrew B. Watkins, Jon Timmis, Lois C. Boggess:
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm. Genet. Program. Evolvable Mach. 5(3): 291-317 (2004) - [c15]Jonathan Timmis, Camilla Edmonds, Johnny Kelsey:
Assessing the performance of two immune inspired algorithms and a hybrid genetic algorithm for function optimisation. IEEE Congress on Evolutionary Computation 2004: 1044-1051 - [c14]Jon Timmis, Camilla Edmonds:
A Comment on Opt-AiNET: An Immune Network Algorithm for Optimisation. GECCO (1) 2004: 308-317 - [c13]Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell:
Towards a Conceptual Framework for Artificial Immune Systems. ICARIS 2004: 53-64 - [c12]Peter J. Bentley, Jon Timmis:
A Fractal Immune Network. ICARIS 2004: 133-145 - [c11]Philipp H. Mohr, Nick Ryan, Jon Timmis:
Exploiting Immunological Properties for Ubiquitous Computing Systems. ICARIS 2004: 277-289 - [c10]Andrew B. 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:
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 [contents] - 2003
- [j4]Peter J. Bentley, Jon Timmis:
Guest Editorial Special Issue on Artificial Immune Systems. Genet. Program. Evolvable Mach. 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) - [c9]Andrew Secker, Alex Alves Freitas, Jon Timmis:
AISEC: an artificial immune system for e-mail classification. IEEE Congress on Evolutionary Computation 2003: 131-138 - [c8]Johnny Kelsey, Jonathan Timmis, Andrew Hone:
Chasing chaos. IEEE Congress on Evolutionary Computation 2003: 413-419 - [c7]Johnny Kelsey, Jon Timmis:
Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation. GECCO 2003: 207-218 - [c6]Peter May, Keith Mander, Jon Timmis:
Software Vaccination: An Artificial Immune System Approach to Mutation Testing. ICARIS 2003: 81-92 - [c5]Andrew Secker, Alex Alves Freitas, Jon Timmis:
A Danger Theory Inspired Approach to Web Mining. ICARIS 2003: 156-167 - [c4]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:
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 [contents] - 2002
- [b2]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 - [c3]Leandro Nunes de Castro, Jon Timmis:
An artificial immune network for multimodal function optimization. IEEE Congress on Evolutionary Computation 2002: 699-704 - 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) - [c2]Thomas Knight, Jon Timmis:
AINE: An Immunological Approach to Data Mining. ICDM 2001: 297-304 - 2000
- [b1]Jonathan Timmis:
Artificial immune systems : a novel data analysis technique inspired by the immune network theory. University of Kent, UK, 2000
1990 – 1999
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
A. E. Eiben
aka: Ágoston E. Eiben
aka: Ágoston E. Eiben
Mark Read 0001
aka: Mark N. Read
aka: Mark N. Read
Andrew M. Tyrrell
aka: Andy M. Tyrrell
aka: Andy M. Tyrrell
[j73] [j72] [j71] [j70] [j69] [j67] [i6] [j65] [c146] [c145] [c144] [j60] [c142] [c141] [c139] [j56] [c137] [c136] [c135] [c134] [c133] [c130] [c129] [c125] [c119] [c118] [j47] [c105] [j41] [j40] [c97] [c96] [j39] [j37] [c94] [c93] [j36] [c89] [c88] [c86] [c85] [c84] [c79] [c76] [c73] [c72] [c70] [c69] [c62] [c58] [e5] [c50] [c43] [c41] [c35] [c33] [j12] [j10] [j8] [j7] [i1] [c13]
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