Jonathan Timmis

ORCID

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 2

Top Venues

Biosyst.

TAROS

IEEE Trans. Syst. Man Cybern. Part C

Des. Autom. Embed. Syst.

University of Kent, UK (PHD)

Education History

University of Kent, UK

PHD

Publications

Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom
Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. CEC (2017)
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 (2016)
Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom
B Signalling Pathway. Comput. 2 (4) (2014)
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) (2014)
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)
Anna Ladi, Jonathan Timmis, Andy M. Tyrrell, Peter J. Hickey
Statistical hypothesis testing for chemical detection in changing environments. CIDUE (2014)
Kieran Alden, Mark Read, Jonathan Timmis, Paul S. Andrews, Henrique Veiga-Fernandes, Mark Coles
: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PLoS Comput. Biol. 9 (2) (2013)
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) (2012)
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) (2010)
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) (2010)
Jennifer Owen, Susan Stepney, Jonathan Timmis, Alan F. T. Winfield
Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics. ANTS Conference (2010)
Jonathan Timmis, Mark James Neal, James Thorniley
An adaptive neuro-endocrine system for robotic systems. RiiSS (2009)
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) (2009)
Jonathan Timmis, Andrew Hone, Thomas Stibor, Edward Clark
Theoretical advances in artificial immune systems. Theor. Comput. Sci. 403 (1) (2008)
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) (2008)
Jonathan Timmis, Paul S. Andrews, Nick D. L. Owens, Edward Clark
An interdisciplinary perspective on artificial immune systems. Evol. Intell. 1 (1) (2008)
Jonathan M. Aitken, Tim Clarke, Jonathan Timmis
The Pathways of Complement. ICARIS (2008)
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)
Thomas Knight, Jonathan Timmis
Comparison of a multi-layered artificial immune system with a kohonen network. IEEE Congress on Evolutionary Computation (2007)
Nick D. L. Owens, Jonathan Timmis, Andrew J. Greensted, Andy M. Tyrrell
On Immune Inspired Homeostasis for Electronic Systems. ICARIS (2007)
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Jonathan Timmis
An Immune Algorithm for Protein Structure Prediction on Lattice Models. IEEE Trans. Evol. Comput. 11 (1) (2007)
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) (2007)
Thomas Stibor, Jonathan Timmis
An Investigation on the Compression Quality of aiNet. FOCI (2007)
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) (2007)
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)
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)
Alex Alves Freitas, Jonathan Timmis
Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans. Evol. Comput. 11 (4) (2007)
Thomas Stibor, Jonathan Timmis, Claudia Eckert
The Link between r-contiguous Detectors and k-CNF Satisfiability. IEEE Congress on Evolutionary Computation (2006)
Thomas Stibor, Jonathan Timmis, Claudia Eckert
On Permutation Masks in Hamming Negative Selection. ICARIS (2006)
Thomas Stibor, Jonathan Timmis, Claudia Eckert
On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions. ICARIS (2006)
Thomas Stibor, Jonathan Timmis, Claudia Eckert
Generalization Regions in Hamming Negative Selection. Intelligent Information Systems (2006)
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) (2006)
Thomas Stibor, Claudia Eckert, Jonathan Timmis
Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit). it Inf. Technol. 48 (3) (2006)
Emma Hart, Jonathan Timmis
Application Areas of AIS: The Past, The Present and The Future. ICARIS (2005)
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, Claudia Eckert
Is negative selection appropriate for anomaly detection? GECCO (2005)
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) (2005)
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)
Thomas Stibor, Jonathan Timmis, Claudia Eckert
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques. ICARIS (2005)
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) (2005)
Larisa B. Goncharova, Yannick Jacques, Carlos Martín-Vide, Alexander O. Tarakanov, Jonathan Timmis
Biomolecular Immune-Computer: Theoretical Basis and Experimental Simulator. ICARIS (2005)
Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell
Towards a Conceptual Framework for Artificial Immune Systems. ICARIS (2004)
Jonathan Timmis
Exploiting the Immune System for Computation (Profile). IEEE Intell. Informatics Bull. 4 (2004)
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)
Johnny Kelsey, Jonathan Timmis, Andrew Hone
Chasing chaos. IEEE Congress on Evolutionary Computation (2003)

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Publication Activity (10 Years)

Top Topics

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Jonathan Timmis