Alistair Shilton
Alistair Shilton
Applied Artificial Intelligence Institute (AČIČ), Deakin University
Verified email at deakin.edu.au
Title
Cited by
Cited by
Year
Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ...
Journal of medical Internet research 18 (12), e323, 2016
2442016
Incremental training of support vector machines
A Shilton, M Palaniswami, D Ralph, AC Tsoi
IEEE transactions on neural networks 16 (1), 114-131, 2005
2382005
Detecting selective forwarding attacks in wireless sensor networks using support vector machines
S Kaplantzis, A Shilton, N Mani, YA Sekercioglu
2007 3rd International Conference on Intelligent Sensors, Sensor Networks …, 2007
2202007
High dimensional bayesian optimization using dropout
C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton
arXiv preprint arXiv:1802.05400, 2018
622018
Distributed data fusion using support vector machines
S Challa, M Palaniswami, A Shilton
Proceedings of the Fifth International Conference on Information Fusion …, 2002
322002
Iterative fuzzy support vector machine classification
A Shilton, DTH Lai
2007 IEEE International Fuzzy Systems Conference, 1-6, 2007
292007
Machine learning using support vector machines
M Palaniswami, A Shilton, D Ralph, BD Owen
272000
A division algebraic framework for multidimensional support vector regression
A Shilton, DTH Lai, M Palaniswami
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009
262009
DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment
A Shilton, S Rajasegarar, C Leckie, M Palaniswami
2015 International Conference on Recent Advances in Internet of Things (RIoT …, 2015
252015
Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
A Buckley, A Shilton, MJ White
Computer Physics Communications 183 (4), 960-970, 2012
252012
Adaptive support vector machines for regression
M Palaniswami, A Shilton
Proceedings of the 9th International Conference on Neural Information …, 2002
252002
Combined multiclass classification and anomaly detection for large-scale wireless sensor networks
A Shilton, S Rajasegarar, M Palaniswami
2013 IEEE eighth international conference on intelligent sensors, sensor …, 2013
242013
Incremental training of support vector machines
A Shilton, M Palaniswami, D Ralph, AC Tsoi
Proc. Int. Joint Conf. Neural Networks (IJCNN), 2001
192001
Regret bounds for transfer learning in Bayesian optimisation
A Shilton, S Gupta, S Rana, S Venkatesh
Artificial Intelligence and Statistics, 307-315, 2017
172017
Regression models for estimating gait parameters using inertial sensors
BK Santhiranayagam, D Lai, A Shilton, R Begg, M Palaniswami
2011 Seventh International Conference on Intelligent Sensors, Sensor …, 2011
142011
Distributed training of multiclass conic-segmentation support vector machines on communication constrained networks
S Rajasegarar, A Shilton, C Leckie, R Kotagiri, M Palaniswami
2010 Sixth International Conference on Intelligent Sensors, Sensor Networks …, 2010
142010
Ahmet Sekercio glu,” Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines”, intelligent sensors, sensor networks and information
S Kaplantzis, A Shilton, Y Nallasamy Mani
3rd international conference, pg, 335-340, 0
14
Automatic detection of different walking conditions using inertial sensor data
BK Santhiranayagam, DTH Lai, C Jiang, A Shilton, R Begg
The 2012 international joint conference on neural networks (IJCNN), 1-6, 2012
132012
Quaternionic and complex-valued support vector regression for equalization and function approximation
A Shilton, DTH Lai
2007 International Joint Conference on Neural Networks, 920-925, 2007
132007
Protein topology classification using two-stage support vector machines
J Gubbi, A Shilton, M Parker, M Palaniswami
Genome Informatics 17 (2), 259-269, 2006
122006
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