- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j5 |      | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan: Hybrid evolutionary computation methods for quay crane scheduling problems. Computers & OR 40(8): 2083-2093 (2013) |
| c49 | | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan: Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming. EuroGP 2013: 157-168 |
| c48 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic Programming for Automatic Construction of Variant Features in Edge Detection. EvoApplications 2013: 354-364 |
| c47 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming. EvoApplications 2013: 365-375 |
| 2012 | ||
| j4 | | Jeffrey Chang, Mark Johnston: Cloud Computing in Local Government: From the Perspective of Four London Borough Councils. IJCAC 2(4): 1-15 (2012) |
| j3 | | 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) |
| c46 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection. Australasian Conference on Artificial Intelligence 2012: 144-155 |
| c45 | | Aaron Scoble, Mark Johnston, Mengjie Zhang: Local Search in Parallel Linear Genetic Programming for Multiclass Classification. Australasian Conference on Artificial Intelligence 2012: 373-384 |
| c44 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection via balancing individual training images. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c43 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Soft edge maps from edge detectors evolved by genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c42 | | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan: A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c41 | | Mahdi Setayesh, Mengjie Zhang, Mark Johnston: Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images. IEEE Congress on Evolutionary Computation 2012: 1-8 |
| c40 | | 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 |
| c39 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection using blocks to extract features. GECCO 2012: 855-862 |
| c38 | | Mahdi Setayesh, Mengjie Zhang, Mark Johnston: A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images. GECCO (Companion) 2012: 1403-1404 |
| c37 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection based on figure of merit. GECCO (Companion) 2012: 1483-1484 |
| c36 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Multi-frequency transformation for edge detection. IVCNZ 2012: 204-209 |
| c35 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection. SEAL 2012: 22-31 |
| c34 | | Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan: Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming. SEAL 2012: 341-350 |
| 2011 | ||
| j2 | | Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang: Particle swarm optimisation based AdaBoost for object detection. Soft Comput. 15(9): 1793-1805 (2011) |
| c33 | | 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 |
| c32 | | 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 |
| c31 | | Rachel Hunt, Mark Johnston, Mengjie Zhang: Improving Robustness of Multiple-Objective Genetic Programming for Object Detection. Australasian Conference on Artificial Intelligence 2011: 311-320 |
| c30 | | Aaron Scoble, Mark Johnston, Mengjie Zhang: Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming. Australasian Conference on Artificial Intelligence 2011: 341-350 |
| c29 | | 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 |
| c28 | | 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 |
| c27 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Genetic programming for edge detection: A global approach. IEEE Congress on Evolutionary Computation 2011: 254-261 |
| c26 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation. EvoApplications (1) 2011: 173-182 |
| c25 | | 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 |
| c24 | | Wenlong Fu, Mark Johnston, Mengjie Zhang: Hybrid particle swarm optimisation based on history information sharing. GECCO 2011: 77-84 |
| c23 | | Su Nguyen, Mengjie Zhang, Mark Johnston: A genetic programming based hyper-heuristic approach for combinatorial optimisation. GECCO 2011: 1299-1306 |
| c22 | | Urvesh Bhowan, Mark Johnston, Mengjie Zhang: Evolving ensembles in multi-objective genetic programming for classification with unbalanced data. GECCO 2011: 1331-1338 |
| c21 | | 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 |
| 2010 | ||
| c20 | | 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 |
| c19 | | 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 |
| c18 | | 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 |
| c17 | | Mahdi Setayesh, Mark Johnston, Mengjie Zhang: Edge and Corner Extraction Using Particle Swarm Optimisation. Australasian Conference on Artificial Intelligence 2010: 323-333 |
| c16 | | 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 |
| c15 | | Thomas Liddle, Mark Johnston, Mengjie Zhang: Multi-Objective Genetic Programming for object detection. IEEE Congress on Evolutionary Computation 2010: 1-8 |
| c14 | | Urvesh Bhowan, Mengjie Zhang, Mark Johnston: Genetic Programming for Classification with Unbalanced Data. EuroGP 2010: 1-13 |
| c13 | | Mark Johnston, Thomas Liddle, Mengjie Zhang: A Relaxed Approach to Simplification in Genetic Programming. EuroGP 2010: 110-121 |
| c12 | | David Kinzett, Mengjie Zhang, Mark Johnston: Analysis of Building Blocks with Numerical Simplification in Genetic Programming. EuroGP 2010: 289-300 |
| c11 | | 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 |
| 2009 | ||
| j1 | | 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) |
| c10 | | Urvesh Bhowan, Mengjie Zhang, Mark Johnston: Multi-Objective Genetic Programming for Classification with Unbalanced Data. Australasian Conference on Artificial Intelligence 2009: 370-380 |
| c9 | | Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston: Particle Swarm Optimization based Adaboost for face detection. IEEE Congress on Evolutionary Computation 2009: 2494-2501 |
| c8 | | 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 |
| c7 | | Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang: Particle swarm optimization based multi-prototype ensembles. GECCO 2009: 57-64 |
| c6 | | David Kinzett, Mark Johnston, Mengjie Zhang: How online simplification affects building blocks in genetic programming. GECCO 2009: 979-986 |
| 2008 | ||
| c5 | | 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 |
| c4 | | Ammar W. Mohemmed, Mengjie Zhang, Mark Johnston: A PSO Based Adaboost Approach to Object Detection. SEAL 2008: 81-90 |
| c3 | | David Kinzett, Mengjie Zhang, Mark Johnston: Using Numerical Simplification to Control Bloat in Genetic Programming. SEAL 2008: 493-502 |
| 2007 | ||
| c2 | | Kourosh Neshatian, Mengjie Zhang, Mark Johnston: Feature Construction and Dimension Reduction Using Genetic Programming. Australian Conference on Artificial Intelligence 2007: 160-170 |
| 1999 | ||
| c1 |  | Mark Johnston: Application of Domain Testing to Reliability Amplification. Applied Informatics 1999: 392-394 |
Colors in the list of coauthors
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