Alistair Shilton
Alistair Shilton
Applied Artificial Intelligence Institute (AČIČ), Deakin University
Verified email at deakin.edu.au
Title
Cited by
Cited by
Year
Incremental training of support vector machines
A Shilton, M Palaniswami, D Ralph, AC Tsoi
IEEE transactions on neural networks 16 (1), 114-131, 2005
2332005
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
1942007
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
1902016
High dimensional bayesian optimization using dropout
C Li, S Gupta, S Rana, V Nguyen, S Venkatesh, A Shilton
arXiv preprint arXiv:1802.05400, 2018
472018
Distributed data fusion using support vector machines
S Challa, M Palaniswami, A Shilton
Proceedings of the Fifth International Conference on Information Fusion …, 2002
312002
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
252009
Adaptive support vector machines for regression
M Palaniswami, A Shilton
Proceedings of the 9th International Conference on Neural Information …, 2002
252002
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
232015
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
232013
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
222012
Incremental training of support vector machines
A Shilton, M Palaniswami, D Ralph, AC Tsoi
182001
Regret bounds for transfer learning in Bayesian optimisation
A Shilton, S Gupta, S Rana, S Venkatesh
AISTATS 2017: Machine Learning Research: Proceedings of the 20th Artificial …, 2017
152017
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
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
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
132011
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
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
13
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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