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2020 – today
- 2022
[j28]Peter I. Rockett
:
Constant optimization and feature standardization in multiobjective genetic programming. Genet. Program. Evolvable Mach. 23(1): 37-69 (2022)- 2020
- [j27]Tiantian Dou, Yuri Kaszubowski Lopes, Peter I. Rockett, Elizabeth A. Hathway, Esmail M. Saber:
Model predictive control of non-domestic heating using genetic programming dynamic models. Appl. Soft Comput. 97(Part B): 106695 (2020) - [j26]Peter I. Rockett:
Pruning of genetic programming trees using permutation tests. Evol. Intell. 13(4): 649-661 (2020) - [j25]Tiantian Dou, Yuri Kaszubowski Lopes, Peter I. Rockett, Elizabeth A. Hathway, Esmail M. Saber:
GPML: an XML-based standard for the interchange of genetic programming trees. Genet. Program. Evolvable Mach. 21(4): 605-627 (2020)
2010 – 2019
- 2019
- [c19]Peter I. Rockett, Yuri Kaszubowski Lopes, Tiantian Dou, Elizabeth A. Hathway:
d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees. HAIS 2019: 133-144 - 2018
- [j24]Tiantian Dou, Peter I. Rockett:
Comparison of semantic-based local search methods for multiobjective genetic programming. Genet. Program. Evolvable Mach. 19(4): 535-563 (2018) - 2017
- [c18]Tiantian Dou, Peter I. Rockett:
Semantic-based local search in multiobjective genetic programming. GECCO (Companion) 2017: 225-226 - 2015
- [j23]Yilong Cao, Peter I. Rockett:
The use of vicinal-risk minimization for training decision trees. Appl. Soft Comput. 31: 185-195 (2015) - [j22]Ji Ni, Peter I. Rockett:
Training genetic programming classifiers by vicinal-risk minimization. Genet. Program. Evolvable Mach. 16(1): 3-25 (2015) - [j21]Ji Ni, Peter I. Rockett:
Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming. IEEE Trans. Evol. Comput. 19(2): 157-166 (2015) - 2013
- [j20]Li Liu, Ling Shao, Peter I. Rockett:
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition. Pattern Recognit. 46(7): 1810-1818 (2013) - [j19]Li Liu, Ling Shao, Peter I. Rockett:
Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification. Signal Process. 93(6): 1521-1530 (2013) - [j18]Ji Ni, Russ H. Drieberg, Peter I. Rockett:
The Use of an Analytic Quotient Operator in Genetic Programming. IEEE Trans. Evol. Comput. 17(1): 146-152 (2013) - 2012
- [j17]Khaled M. S. Badran, Peter I. Rockett:
Multi-class pattern classification using single, multi-dimensional feature-space feature extraction evolved by multi-objective genetic programming and its application to network intrusion detection. Genet. Program. Evolvable Mach. 13(1): 33-63 (2012) - [c17]Li Liu, Ling Shao, Peter I. Rockett:
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition. BMVC 2012: 1-12 - 2011
- [j16]Yang Zhang, Peter I. Rockett:
A generic optimising feature extraction method using multiobjective genetic programming. Appl. Soft Comput. 11(1): 1087-1097 (2011) - 2010
- [j15]Khaled M. S. Badran, Peter I. Rockett:
The influence of mutation on population dynamics in multiobjective genetic programming. Genet. Program. Evolvable Mach. 11(1): 5-33 (2010) - [j14]Yang Zhang, Peter I. Rockett:
Domain-independent feature extraction for multi-classification using multi-objective genetic programming. Pattern Anal. Appl. 13(3): 273-288 (2010)
2000 – 2009
- 2009
- [j13]Yang Zhang, Peter I. Rockett:
A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming. Evol. Comput. 17(1): 89-115 (2009) - [j12]Yang Zhang, Peter I. Rockett:
Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems. IEEE Trans Autom. Sci. Eng. 6(2): 372-376 (2009) - [j11]Ping Zou, Philip Chan, Peter I. Rockett:
A Model-Based Consecutive Scanline Tracking Method for Extracting Vascular Networks From 2-D Digital Subtraction Angiograms. IEEE Trans. Medical Imaging 28(2): 241-249 (2009) - [c16]Rajeev Kumar, Bipul Kumar Bal, Peter I. Rockett:
Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST. GECCO 2009: 309-316 - 2008
- [c15]Khaled M. S. Badran, Peter I. Rockett:
Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction. EuroGP 2008: 301-311 - [c14]Yang Zhang, Hongyu Li, Mahesan Niranjan, Peter I. Rockett:
Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering. EuroGP 2008: 325-336 - [c13]Rajeev Kumar, Ashwin H. Joshi, Krishna K. Banka, Peter I. Rockett:
Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming. GECCO 2008: 1227-1234 - 2007
- [j10]Yang Zhang, Peter I. Rockett:
A Comparison of three evolutionary strategies for multiobjective genetic programming. Artif. Intell. Rev. 27(2-3): 149-163 (2007) - [c12]Khaled M. S. Badran, Peter I. Rockett:
The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming. GECCO 2007: 1551-1558 - 2006
- [j9]Yang Zhang, Peter I. Rockett:
The Bayesian Operating Point of the Canny Edge Detector. IEEE Trans. Image Process. 15(11): 3409-3416 (2006) - [p1]Yang Zhang, Peter I. Rockett:
Feature Extraction Using Multi-Objective Genetic Programming. Multi-Objective Machine Learning 2006: 75-99 - 2005
- [j8]Peter I. Rockett:
An Improved Rotation-Invariant Thinning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1671-1674 (2005) - [c11]Yang Zhang, Peter I. Rockett:
Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection. GECCO 2005: 795-802 - 2004
- [c10]Rajeev Kumar, Peter I. Rockett:
Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing. AACC 2004: 1-8 - 2003
- [j7]Peter I. Rockett:
Performance assessment of feature detection algorithms: a methodology and case study on corner detectors. IEEE Trans. Image Process. 12(12): 1668-1676 (2003) - [c9]Rajeev Kumar, Peter I. Rockett:
Evolutionary Multimodal Optimization Revisited. GECCO 2003: 1592-1593 - 2002
- [j6]Rajeev Kumar, Peter I. Rockett:
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm. Evol. Comput. 10(3): 283-314 (2002) - [j5]Se-Ho Choi, Peter I. Rockett:
The training of neural classifiers with condensed datasets. IEEE Trans. Syst. Man Cybern. Part B 32(2): 202-206 (2002) - [c8]Rajeev Kumar, Peter I. Rockett:
A Bootstrapped Modular Learning Approach for Scaling and Generalisation of Grey-Level Corner Detection. AFSS 2002: 395-400 - 2000
- [c7]Se-Ho Choi, Peter I. Rockett:
Reducing the Training Times of Neural Classifiers with Dataset Condensing. SSPR/SPR 2000: 650-657
1990 – 1999
- 1999
- [c6]Peter I. Rockett:
The Accuracy of Sub-Pixel Localisation in the Canny Edge Detector. BMVC 1999: 1-10 - 1998
- [j4]Frank J. Aherne, Neil A. Thacker, Peter I. Rockett:
The Bhattacharyya metric as an absolute similarity measure for frequency coded data. Kybernetika 34(4): 363-368 (1998) - [j3]Rajeev Kumar, Peter I. Rockett:
Decomposition of high dimensional pattern spaces for hierarchical classification. Kybernetika 34(4): 435-442 (1998) - [j2]Rajeev Kumar, Peter I. Rockett:
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy. IEEE Trans. Neural Networks 9(5): 822-830 (1998) - 1997
- [j1]Rajeev Kumar, Peter I. Rockett:
Triplet geometric representation: a novel scale, translation and rotation invariant feature representation based on geometric constraints for recognition of 2D object features. Image Vis. Comput. 15(3): 235-249 (1997) - [c5]Frank J. Aherne, Neil A. Thacker, Peter I. Rockett:
Optimal Pairwise Geometric Histograms. BMVC 1997 - [c4]Frank J. Aherne, Peter I. Rockett, Neil A. Thacker:
Automatic Parameter Selection for Object Recognition Using a Parallel Multiobjective Genetic Algorithm. CAIP 1997: 559-566 - [c3]Wan-Ching Chen, Peter I. Rockett:
Bayesian Labelling of Corners Using a Grey-Level Corner Image Model. ICIP (1) 1997: 687-690 - 1996
- [c2]Neil A. Thacker, David J. Prendergast, Peter I. Rockett:
B-Fitting: An Estimation Technique with Automatic Parameter Selection. BMVC 1996: 1-10 - 1995
- [c1]Anthony Ashbrook, Neil A. Thacker, Peter I. Rockett, C. I. Brown:
Robust Recognition of Scaled Shapes using Pairwise Geometric Histograms. BMVC 1995: 1-10
Coauthor Index
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