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Andy Song
Andy Song
A/Prof of AI, School of Computing Technologies, CIAIRI, RMIT University
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Efficient agglomerative hierarchical clustering
A Bouguettaya, Q Yu, X Liu, X Zhou, A Song
Expert Systems with Applications 42 (5), 2785-2797, 2015
3602015
Privacy protection for wireless medical sensor data
X Yi, A Bouguettaya, D Georgakopoulos, A Song, J Willemson
IEEE transactions on dependable and secure computing 13 (3), 369-380, 2015
1002015
Anomaly detection using replicator neural networks trained on examples of one class
HA Dau, V Ciesielski, A Song
Asia-Pacific Conference on Simulated Evolution and Learning, 311-322, 2014
942014
Two-tier genetic programming: Towards raw pixel-based image classification
H Al-Sahaf, A Song, K Neshatian, M Zhang
Expert Systems with Applications 39 (16), 12291-12301, 2012
682012
A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion
NR Sabar, A Bhaskar, E Chung, A Turky, A Song
Swarm and evolutionary computation 44, 1018-1027, 2019
652019
Extracting image features for classification by two-tier genetic programming
H Al-Sahaf, A Song, K Neshatian, M Zhang
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
65*2012
Clustering big spatiotemporal-interval data
W Shao, FD Salim, A Song, A Bouguettaya
IEEE Transactions on Big Data 2 (3), 190-203, 2016
572016
Texture classifiers generated by genetic programming
A Song, V Ciesielski, HE Williams
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
572002
Texture segmentation by genetic programming
A Song, V Ciesielski
Evolutionary Computation 16 (4), 461-481, 2008
532008
A bi-objective hyper-heuristic support vector machines for big data cyber-security
NR Sabar, X Yi, A Song
Ieee Access 6, 10421-10431, 2018
522018
Towards genetic programming for texture classification
A Song, T Loveard, V Ciesielski
Australian joint conference on artificial intelligence, 461-472, 2001
522001
Texture analysis by genetic programming
A Song, V Ciesielski
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
432004
A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows
NR Sabar, XJ Zhang, A Song
2015 IEEE congress on evolutionary computation (CEC), 830-837, 2015
302015
A genetic programming-based hyper-heuristic approach for storage location assignment problem
J Xie, Y Mei, AT Ernst, X Li, A Song
2014 IEEE congress on evolutionary computation (CEC), 3000-3007, 2014
272014
Fast texture segmentation using genetic programming
A Song, V Ciesielski
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 2126-2133, 2003
262003
A bi-level optimization model for grouping constrained storage location assignment problems
J Xie, Y Mei, AT Ernst, X Li, A Song
IEEE transactions on cybernetics 48 (1), 385-398, 2016
252016
Bring your own learner: A cloud-based, data-parallel commons for machine learning
I Arnaldo, K Veeramachaneni, A Song, UM O'Reilly
IEEE Computational Intelligence Magazine 10 (1), 20-32, 2015
252015
Detecting PCB component placement defects by genetic programming
F Xie, A Uitdenbogerd, A Song
2013 IEEE Congress on Evolutionary Computation, 1138-1145, 2013
252013
Texture classification: A genetic programming approach
A Song
RMIT University, 2003
252003
An adaptive memetic approach for heterogeneous vehicle routing problems with two-dimensional loading constraints
NR Sabar, A Bhaskar, E Chung, A Turky, A Song
Swarm and Evolutionary Computation 58, 100730, 2020
232020
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