Peter I. Rockett

48 papers A 10B 2C 1Misc 1Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Constant optimization and feature standardization in multiobjective genetic programming.
Genet. Program. Evolvable Mach.
Peter I. Rockett
2020 J jnl
GPML: an XML-based standard for the interchange of genetic programming trees.
Genet. Program. Evolvable Mach.
Tiantian Dou, Yuri Kaszubowski Lopes, Peter I. Rockett, Elizabeth A. Hathway, Esmail M. Saber
2020 J jnl
Model predictive control of non-domestic heating using genetic programming dynamic models.
Appl. Soft Comput.
Tiantian Dou, Yuri Kaszubowski Lopes, Peter I. Rockett, Elizabeth A. Hathway, Esmail M. Saber
2020 J jnl
Pruning of genetic programming trees using permutation tests.
Evol. Intell.
Peter I. Rockett
2019 Misc conf
d(Tree)-by-dx: Automatic and Exact Differentiation of Genetic Programming Trees.
HAIS
Peter I. Rockett, Yuri Kaszubowski Lopes, Tiantian Dou, Elizabeth A. Hathway
2018 J jnl
Comparison of semantic-based local search methods for multiobjective genetic programming.
Genet. Program. Evolvable Mach.
Tiantian Dou, Peter I. Rockett
2017 — conf
Semantic-based local search in multiobjective genetic programming.
GECCO (Companion)
Tiantian Dou, Peter I. Rockett
2015 J jnl
The use of vicinal-risk minimization for training decision trees.
Appl. Soft Comput.
Yilong Cao, Peter I. Rockett
2015 J jnl
Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming.
IEEE Trans. Evol. Comput.
Ji Ni, Peter I. Rockett
2015 J jnl
Training genetic programming classifiers by vicinal-risk minimization.
Genet. Program. Evolvable Mach.
Ji Ni, Peter I. Rockett
2013 J jnl
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition.
Pattern Recognit.
Li Liu, Ling Shao, Peter I. Rockett
2013 J jnl
Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification.
Signal Process.
Li Liu, Ling Shao, Peter I. Rockett
2013 J jnl
The Use of an Analytic Quotient Operator in Genetic Programming.
IEEE Trans. Evol. Comput.
Ji Ni, Russ H. Drieberg, Peter I. Rockett
2012 A conf
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition.
BMVC
Li Liu, Ling Shao, Peter I. Rockett
2012 J jnl
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.
Khaled M. S. Badran, Peter I. Rockett
2011 J jnl
A generic optimising feature extraction method using multiobjective genetic programming.
Appl. Soft Comput.
Yang Zhang, Peter I. Rockett
2010 J jnl
Domain-independent feature extraction for multi-classification using multi-objective genetic programming.
Pattern Anal. Appl.
Yang Zhang, Peter I. Rockett
2010 J jnl
The influence of mutation on population dynamics in multiobjective genetic programming.
Genet. Program. Evolvable Mach.
Khaled M. S. Badran, Peter I. Rockett
2009 J jnl
A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming.
Evol. Comput.
Yang Zhang, Peter I. Rockett
2009 J jnl
A Model-Based Consecutive Scanline Tracking Method for Extracting Vascular Networks From 2-D Digital Subtraction Angiograms.
IEEE Trans. Medical Imaging
Ping Zou, Philip Chan, Peter I. Rockett
2009 J jnl
Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems.
IEEE Trans Autom. Sci. Eng.
Yang Zhang, Peter I. Rockett
2009 A conf
Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST.
GECCO
Rajeev Kumar, Bipul Kumar Bal, Peter I. Rockett
2008 B conf
Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.
EuroGP
Yang Zhang, Hongyu Li, Mahesan Niranjan, Peter I. Rockett
2008 A conf
Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming.
GECCO
Rajeev Kumar, Ashwin H. Joshi, Krishna K. Banka, Peter I. Rockett
2008 B conf
Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction.
EuroGP
Khaled M. S. Badran, Peter I. Rockett
2007 J jnl
A Comparison of three evolutionary strategies for multiobjective genetic programming.
Artif. Intell. Rev.
Yang Zhang, Peter I. Rockett
2007 A conf
The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming.
GECCO
Khaled M. S. Badran, Peter I. Rockett
2006 — ch.
Feature Extraction Using Multi-Objective Genetic Programming.
Multi-Objective Machine Learning
Yang Zhang, Peter I. Rockett
2006 J jnl
The Bayesian Operating Point of the Canny Edge Detector.
IEEE Trans. Image Process.
Yang Zhang, Peter I. Rockett
2005 J jnl
An Improved Rotation-Invariant Thinning Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Peter I. Rockett
2005 A conf
Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection.
GECCO
Yang Zhang, Peter I. Rockett
2004 — conf
Effective Evolutionary Multimodal Optimization by Multiobjective Reformulation Without Explicit Niching/Sharing.
AACC
Rajeev Kumar, Peter I. Rockett
2003 A conf
Evolutionary Multimodal Optimization Revisited.
GECCO
Rajeev Kumar, Peter I. Rockett
2003 J jnl
Performance assessment of feature detection algorithms: a methodology and case study on corner detectors.
IEEE Trans. Image Process.
Peter I. Rockett
2002 — conf
A Bootstrapped Modular Learning Approach for Scaling and Generalisation of Grey-Level Corner Detection.
AFSS
Rajeev Kumar, Peter I. Rockett
2002 J jnl
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm.
Evol. Comput.
Rajeev Kumar, Peter I. Rockett
2002 J jnl
The training of neural classifiers with condensed datasets.
IEEE Trans. Syst. Man Cybern. Part B
Se-Ho Choi, Peter I. Rockett
2000 — conf
Reducing the Training Times of Neural Classifiers with Dataset Condensing.
SSPR/SPR
Se-Ho Choi, Peter I. Rockett
1999 A conf
The Accuracy of Sub-Pixel Localisation in the Canny Edge Detector.
BMVC
Peter I. Rockett
1998 J jnl
Decomposition of high dimensional pattern spaces for hierarchical classification.
Kybernetika
Rajeev Kumar, Peter I. Rockett
1998 J jnl
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy.
IEEE Trans. Neural Networks
Rajeev Kumar, Peter I. Rockett
1998 J jnl
The Bhattacharyya metric as an absolute similarity measure for frequency coded data.
Kybernetika
Frank J. Aherne, Neil A. Thacker, Peter I. Rockett
1997 C conf
Automatic Parameter Selection for Object Recognition Using a Parallel Multiobjective Genetic Algorithm.
CAIP
Frank J. Aherne, Peter I. Rockett, Neil A. Thacker
1997 — conf
Bayesian Labelling of Corners Using a Grey-Level Corner Image Model.
ICIP (1)
Wan-Ching Chen, Peter I. Rockett
1997 A conf
Optimal Pairwise Geometric Histograms.
BMVC
Frank J. Aherne, Neil A. Thacker, Peter I. Rockett
1997 J jnl
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.
Rajeev Kumar, Peter I. Rockett
1996 A conf
B-Fitting: An Estimation Technique with Automatic Parameter Selection.
BMVC
Neil A. Thacker, David J. Prendergast, Peter I. Rockett
1995 A conf
Robust Recognition of Scaled Shapes using Pairwise Geometric Histograms.
BMVC
Anthony Ashbrook, Neil A. Thacker, Peter I. Rockett, C. I. Brown