| 2008 |
|---|
| 23 | EE | Khaled M. S. Badran,
Peter Rockett:
Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction.
EuroGP 2008: 301-311 |
| 22 | EE | Yang Zhang,
HongYu Li,
Mahesan Niranjan,
Peter Rockett:
Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.
EuroGP 2008: 325-336 |
| 21 | EE | Rajeev Kumar,
Ashwin H. Joshi,
Krishna K. Banka,
Peter Rockett:
Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming.
GECCO 2008: 1227-1234 |
| 2007 |
|---|
| 20 | EE | Khaled M. S. Badran,
Peter Rockett:
The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming.
GECCO 2007: 1551-1558 |
| 19 | EE | Yang Zhang,
Peter Rockett:
A Comparison of three evolutionary strategies for multiobjective genetic programming.
Artif. Intell. Rev. 27(2-3): 149-163 (2007) |
| 2006 |
|---|
| 18 | EE | Yang Zhang,
Peter Rockett:
Feature Extraction Using Multi-Objective Genetic Programming.
Multi-Objective Machine Learning 2006: 75-99 |
| 17 | EE | Yang Zhang,
Peter Rockett:
The Bayesian Operating Point of the Canny Edge Detector.
IEEE Transactions on Image Processing 15(11): 3409-3416 (2006) |
| 2005 |
|---|
| 16 | EE | Yang Zhang,
Peter Rockett:
Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection.
GECCO 2005: 795-802 |
| 15 | EE | Peter Rockett:
An Improved Rotation-Invariant Thinning Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1671-1674 (2005) |
| 2004 |
|---|
| 14 | EE | Rajeev Kumar,
Peter Rockett:
Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing.
AACC 2004: 1-8 |
| 2003 |
|---|
| 13 | EE | Rajeev Kumar,
Peter Rockett:
Evolutionary Multimodal Optimization Revisited.
GECCO 2003: 1592-1593 |
| 12 | EE | Peter Rockett:
Performance assessment of feature detection algorithms: a methodology and case study on corner detectors.
IEEE Transactions on Image Processing 12(12): 1668-1676 (2003) |
| 2002 |
|---|
| 11 | EE | Rajeev Kumar,
Peter Rockett:
A Bootstrapped Modular Learning Approach for Scaling and Generalisation of Grey-Level Corner Detection.
AFSS 2002: 395-400 |
| 10 | | Rajeev Kumar,
Peter Rockett:
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm.
Evolutionary Computation 10(3): 2583-314 (2002) |
| 9 | | Se-Ho Choi,
Peter Rockett:
The training of neural classifiers with condensed datasets.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(2): 202-206 (2002) |
| 2000 |
|---|
| 8 | EE | Se-Ho Choi,
Peter Rockett:
Reducing the Training Times of Neural Classifiers with Dataset Condensing.
SSPR/SPR 2000: 650-657 |
| 1999 |
|---|
| 7 | EE | Peter Rockett:
The Accuracy of Sub-Pixel Localisation in the Canny Edge Detector.
BMVC 1999 |
| 1998 |
|---|
| 6 | EE | Rajeev Kumar,
Peter Rockett:
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy.
IEEE Transactions on Neural Networks 9(5): 822-830 (1998) |
| 1997 |
|---|
| 5 | EE | Frank Aherne,
Neil A. Thacker,
Peter Rockett:
Optimal Pairwise Geometric Histograms.
BMVC 1997 |
| 4 | | Frank Aherne,
Peter Rockett,
Neil A. Thacker:
Automatic Parameter Selection for Object Recognition Using a Parallel Multiobjective Genetic Algorithm.
CAIP 1997: 559-566 |
| 3 | EE | Wan-Ching Chen,
Peter Rockett:
Bayesian Labelling of Corners Using a Grey-Level Corner Image Model.
ICIP (1) 1997: 687-690 |
| 2 | EE | Rajeev Kumar,
Peter Rockett:
Triplet geometric representation: a novel scale, translation and rotation invariant feature representation based on geometric constraints for recognition of 2D object features.
Image Vision Comput. 15(3): 235-249 (1997) |
| 1996 |
|---|
| 1 | EE | Neil A. Thacker,
David J. Prendergast,
Peter Rockett:
B-Fitting: An Estimation Technique with Automatic Parameter Selection.
BMVC 1996 |
