Mark Johnston

	2012
37		Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan: Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming. EuroGP 2012: 121-133
36		Urvesh Bhowan, Mark Johnston, Mengjie Zhang: Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(2): 406-421 (2012)
	2011
35		Urvesh Bhowan, Mark Johnston, Mengjie Zhang: Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence 2011: 192-202
34		Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic Programming for Edge Detection Based on Accuracy of Each Training Image. Australasian Conference on Artificial Intelligence 2011: 301-310
33		Rachel Hunt, Mark Johnston, Mengjie Zhang: Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. Australasian Conference on Artificial Intelligence 2011: 311-320
32		Aaron Scoble, Mark Johnston, Mengjie Zhang: Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. Australasian Conference on Artificial Intelligence 2011: 341-350
31		Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images. Australasian Conference on Artificial Intelligence 2011: 609-618
30		Wenlong Fu, Mark Johnston, Mengjie Zhang: A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) 2011: 173-182
29		Su Nguyen, Mengjie Zhang, Mark Johnston: A genetic programming based hyper-heuristic approach for combinatorial optimisation. GECCO 2011: 1299-1306
28		Urvesh Bhowan, Mark Johnston, Mengjie Zhang: Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. GECCO 2011: 1331-1338
27		Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation. GECCO 2011: 45-52
26		Wenlong Fu, Mark Johnston, Mengjie Zhang: Hybrid particle swarm optimisation based on history information sharing. GECCO 2011: 77-84
25		Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Edge detection using constrained discrete particle swarm optimisation in noisy images. IEEE Congress on Evolutionary Computation 2011: 246-253
24		Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation 2011: 254-261
23		Sooraj KuttyKrishnan, Jeffrey Sabina, Laura Langton, Mark Johnston, Michael R. Brent: A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription. RECOMB 2011: 153
22		Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang: Particle swarm optimisation based AdaBoost for object detection. Soft Comput. 15(9): 1793-1805 (2011)
	2010
21		Urvesh Bhowan, Mengjie Zhang, Mark Johnston: A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data. Australasian Conference on Artificial Intelligence 2010: 243-252
20		Rachel Hunt, Mark Johnston, Will N. Browne, Mengjie Zhang: Sampling Methods in Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence 2010: 273-282
19		Wenlong Fu, Mark Johnston, Mengjie Zhang: Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search. Australasian Conference on Artificial Intelligence 2010: 313-322
18		Mahdi Setayesh, Mark Johnston, Mengjie Zhang: Edge and Corner Extraction Using Particle Swarm Optimisation. Australasian Conference on Artificial Intelligence 2010: 323-333
17		Urvesh Bhowan, Mengjie Zhang, Mark Johnston: Genetic Programming for Classification with Unbalanced Data. EuroGP 2010: 1-13
16		Mark Johnston, Thomas Liddle, Mengjie Zhang: A Relaxed Approach to Simplification in Genetic Programming. EuroGP 2010: 110-121
15		David Kinzett, Mengjie Zhang, Mark Johnston: Analysis of Building Blocks with Numerical Simplification in Genetic Programming. EuroGP 2010: 289-300
14		Urvesh Bhowan, Mengjie Zhang, Mark Johnston: AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data. GECCO 2010: 845-852
13		David Kinzett, Mengjie Zhang, Mark Johnston: Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs. IEEE Congress on Evolutionary Computation 2010: 1-8
12		Thomas Liddle, Mark Johnston, Mengjie Zhang: Multi-Objective Genetic Programming for object detection. IEEE Congress on Evolutionary Computation 2010: 1-8
	2009
11		Urvesh Bhowan, Mengjie Zhang, Mark Johnston: Multi-Objective Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence 2009: 370-380
10		Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang: Particle swarm optimization based multi-prototype ensembles. GECCO 2009: 57-64
9		David Kinzett, Mark Johnston, Mengjie Zhang: How online simplification affects building blocks in genetic programming. GECCO 2009: 979-986
8		Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston: Particle Swarm Optimization based Adaboost for face detection. IEEE Congress on Evolutionary Computation 2009: 2494-2501
7		Urvesh Bhowan, Mark Johnston, Mengjie Zhang: Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data. IEEE Congress on Evolutionary Computation 2009: 2802-2809
6		David Kinzett, Mark Johnston, Mengjie Zhang: Numerical simplification for bloat control and analysis of building blocks in genetic programming. Evolutionary Intelligence 2(4): 151-168 (2009)
	2008
5		Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston: Is the not-sampled issue in tournament selection critical? IEEE Congress on Evolutionary Computation 2008: 3710-3717
4		David Kinzett, Mengjie Zhang, Mark Johnston: Using Numerical Simplification to Control Bloat in Genetic Programming. SEAL 2008: 493-502
3		Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston: A PSO Based Adaboost Approach to Object Detection. SEAL 2008: 81-90
	2007
2		Kourosh Neshatian, Mengjie Zhang, Mark Johnston: Feature Construction and Dimension Reduction Using Genetic Programming. Australian Conference on Artificial Intelligence 2007: 160-170
	1999
1		Mark Johnston: Application of Domain Testing to Reliability Amplification. Applied Informatics 1999: 392-394

Coauthor Index

1	Peter Andreae	[5]
2	Urvesh Bhowan	[7] [11] [14] [17] [21] [28] [35] [36]
3	Michael R. Brent	[23]
4	Will N. Browne	[20]
5	Wenlong Fu	[19] [24] [26] [30] [34]
6	Rachel Hunt	[20] [33]
7	David Kinzett	[4] [6] [9] [13] [15]
8	Sooraj KuttyKrishnan	[23]
9	Laura Langton	[23]
10	Thomas Liddle	[12] [16]
11	Ammar W. Mohemmed	[3] [8] [10] [22]
12	Kourosh Neshatian	[2]
13	Su Nguyen	[29] [37]
14	Jeffrey Sabina	[23]
15	Aaron Scoble	[32]
16	Mahdi Setayesh	[18] [25] [27] [31]
17	Kay Chen Tan	[37]
18	Huayang Xie	[5]
19	Mengjie Zhang	[2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37]

Colors in the list of coauthors

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