Dr Peter Rockett

Books

• Zhang Y & Rockett PI (2006) Feature extraction using multi-objective genetic programming. Heidelberg: Springer.

Journal articles

• Rockett P (2020) Pruning of genetic programming trees using permutation tests. Evolutionary Intelligence, 13(4), 649-661. View this article in WRRO
• Dou T, Lopes Y, Rockett P, Hathway E & Saber E (2019) GPML: an XML-based standard for the interchange of genetic programming trees. Genetic Programming and Evolvable Machines. View this article in WRRO
• Dou T & Rockett PI (2018) Comparison of Semantic-based Local Search Methods for Multiobjective Genetic Programming. Genetic Programming and Evolvable Machines. View this article in WRRO
• Rockett PI & Hathway EA (2017) Model-predictive control for non-domestic buildings: a critical review and prospects. Building Research and Information, 45(5), 556-571. View this article in WRRO
• Cao Y & Rockett PI (2015) The use of vicinal-risk minimization for training decision trees. Applied Soft Computing, 31, 185-195. View this article in WRRO
• Ji Ni & Rockett P (2015) Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming. IEEE Transactions on Evolutionary Computation, 19(2), 157-166. View this article in WRRO
• Ni J, Drieberg RH & Rockett PI (2013) The use of an analytic quotient operator in genetic programming. IEEE Transactions on Evolutionary Computation, 17, 146-152.
• Badran K & Rockett P (2012) 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. GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 13(1), 33-63.
• Liu L, Shao L & Rockett P (2012) Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification. Signal Processing.
• Liu L, Shao L & Rockett P (2012) Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition. Pattern Recognition.
• Zhang Y & Rockett PI (2011) A generic optimising feature extraction method using multiobjective genetic programming. Applied Soft Computing, 11, 1087-1097-1087-1097.
• Zhang Y & Rockett PI (2011) A generic optimising feature extraction method using multiobjective genetic programming. Applied Soft Computing Journal, 11(1), 1087-1097. View this article in WRRO
• Zhang Y & Rockett PI (2010) Domain-independent feature extraction for multi-classification using multi-objective genetic programming. PATTERN ANAL APPL, 13(3), 273-288.
• Badran K & Rockett PI (2010) The influence of mutation on population dynamics in multiobjective genetic programming. GENET PROGRAM EVOL M, 11(1), 5-33. View this article in WRRO
• Zou P, Chan P & Rockett P (2009) A model-based consecutive scanline tracking method for extracting vascular networks from 2-D digital subtraction angiograms.. IEEE Trans Med Imaging, 28(2), 241-249.
• Zhang Y & Rockett PI (2009) Application of multiobjective genetic programming to the design of robot failure recognition systems. IEEE Transactions on Automation Science and Engineering, 6(2), 372-376. View this article in WRRO
• Zhang Y & Rockett PI (2009) A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genetic Programming. EVOL COMPUT, 17(1), 89-115.
• Amavasai BP & Rockett PI (2008) Automatic Regularization of Multilayered-Perceptron Training by Weight Orthogonalization. Journal of Intelligent Systems, 17(Supplement).
• Kumar V, Holzkaemper A, Surridge B, Rockett PI, Niranjan M & Lernera DN (2008) Bayesian challenges in Integrated Catchment modelling. Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008, 1, 362-371.
• Zhang Y & Rockett P (2007) A Comparison of three evolutionary strategies for multiobjective genetic programming. ARTIF INTELL REV, 27(2-3), 149-163.
• Zhang Y & Rockett PI (2006) The Bayesian operating point of the Canny edge detector.. IEEE Trans Image Process, 15(11), 3409-3416.
• Zhang Y & Rockett PI (2006) The Bayesian operating point of the Canny edge detector. IEEE Transactions on Image Processing, 15, 3409- 3416-3409- 3416.
• Rockett PI (2005) An improved rotation-invariant thinning algorithm.. IEEE Trans Pattern Anal Mach Intell, 27(10), 1671-1674. View this article in WRRO
• Rockett PI (2005) An improved rotation-invariant thinning algorithm. IEEE Transactions on Pattern Analysis & Machine Intelligence, 27, 1671- 1674-1671- 1674.
• Rockett PI (2003) Performance assessment of feature detection algorithms: A methodology and case study on corner detectors. IEEE Transactions on Image Processing, 12(12), 1668-1676. View this article in WRRO
• Kumar R & Rockett PI (2002) Improved sampling of the Pareto-front in multiobjective genetic optimizations by steady-state evolution: A Pareto converging genetic algorithm. Evolutionary Computation, 10(3), 283-314. View this article in WRRO
• Choi S-H & Rockett PI (2002) The training of neural classifiers with condensed datasets. IEEE Transactions on Systems, Man and Cybernetics - B, 32(2), 202-206.
• Cope RK & Rockett PI (2000) Efficacy of Gaussian smoothing in Canny edge detector. ELECTRON LETT, 36(19), 1615-1617.
• Kumar R & Rockett P (1998) 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.
• Kumar R & Rockett P (1998) Decomposition of high dimensional pattern spaces for hierarchical classification. KYBERNETIKA, 34(4), 435-442.
• Aherne FJ, Thacker NA & Rockett PI (1998) The Bhattacharyya metric as an absolute similarity measure for frequency coded data. KYBERNETIKA, 34(4), 363-368.
• Kumar R & Rockett P (1997) Triplet geometric representation: A novel scale, translation and rotation invariant feature representation based on geometric constraints for recognition of 2D object features. IMAGE AND VISION COMPUTING, 15(3), 235-249.
• Kumar R & Rockett P (1997) Multi-objective genetic algorithm partitioning for hierarchical learning of high dimensional spaces. IEE Colloquium (Digest)(18).
• Chen WC, Thacker NA & Rockett PI (1996) Adaptive step edge model for self-consistent training of neural network for probabilistic edge labelling. IEE P-VIS IMAGE SIGN, 143(1), 41-50.
• PETTERSSON H, GRIMMEISS HG, POWELL AL, BUTTON CC, ROBERTS JS & ROCKETT PI (1993) PERSISTENT DECREASE OF DARK CONDUCTIVITY DUE TO ILLUMINATION IN ALGAAS/GAAS MODULATION-DOPED HETEROSTRUCTURES. J APPL PHYS, 74(9), 5596-5601.
• KANAAH A, ROCKETT PI, ROBERTS JS, PATE MA & WOODWARD MV (1992) INFLUENCE OF SILICON-NITRIDE CAP ON THE THERMAL-STABILITY OF STRAINED AL0.32GA0.68AS/IN0.1GA0.9AS HIGH MOBILITY STRUCTURES GROWN BY METALORGANIC CHEMICAL VAPOR-DEPOSITION. J VAC SCI TECHNOL B, 10(6), 2488-2490.
• NUBILE P, ZAZOUI M, BOURGOIN JC, GREY R, POWELL AL, CLAXTON PA & ROCKETT PI (1992) DEFECT CHARACTERIZATION IN GAALINAS ALLOYS. J APPL PHYS, 72(8), 3530-3534.
• ROMERO AL, CALLEJA E, GARCIA F, MUNOZ E, POWELL AL, ROCKETT PI, GREY R & CLAXTON PA (1992) DX CENTER ELECTRON OCCUPANCY UNDER HYDROSTATIC-PRESSURE IN SI-DOPED INY(GA1-XALX)1-YAS ALLOYS. APPL PHYS LETT, 61(15), 1811-1813.
• CALLEJA E, GARCIA F, ROMERO AL, MUNOZ E, POWELL AL, ROCKETT PI, BUTTON CC & ROBERTS JS (1992) DX CENTER CHARACTERIZATION IN SE-DOPED ALGAAS UNDER HYDROSTATIC-PRESSURE. SEMICOND SCI TECH, 7(6), 758-766.
• ZAZOUI M, FENG SL, BOURGOIN JC, POWELL AL, ROCKETT PI, GRATTEPAIN C & FRIANT A (1992) LI DOPING OF GAALAS. J APPL PHYS, 71(9), 4337-4340.
• POWELL AL, BUTTON CC, ROBERTS JS, ROCKETT PI, GRIMMEISS HG & PETTERSSON H (1991) OBSERVATION OF A PERSISTENT NEGATIVE PHOTOCONDUCTIVITY EFFECT IN ALGAAS GAAS MODULATION-DOPED STRUCTURES. PHYS REV LETT, 67(21), 3010-3013.
• IZPURA I, MUNOZ E, GARCIA F, CALLEJA E, POWELL AL, ROCKETT PI, BUTTON CC & ROBERTS JS (1991) IMPACT IONIZATION OF SE-RELATED DX CENTERS IN ALGAAS. APPL PHYS LETT, 58(7), 735-737.
• POWELL AL, BUTTON CC, ROBERTS JS & ROCKETT PI (1990) A COMPARISON OF DOPANT TYPE AND ALUMINUM MOLE FRACTION ON PERSISTENT PHOTOCONDUCTIVITY IN HEMT STRUCTURES GROWN BY MOVPE. SEMICOND SCI TECH, 5(6), 586-589.
• ROCKETT PI, PATE MA & CLAXTON PA (1990) MBE-GROWN (GAIN)P/GAAS HETEROJUNCTION BIPOLAR-TRANSISTORS EXHIBITING CURRENT GAINS UP TO 200. IEEE T ELECTRON DEV, 37(3), 810-811.
• POWELL AL, ROBERTS JS, ROCKETT PI, FOSTER TJ & EAVES L (1989) MODULATION-DOPED (ALGA)AS/GAAS QUANTUM WELL STRUCTURE WITH HIGH ELECTRON SHEET DENSITY. ELECTRON LETT, 25(17), 1147-1148.
• ROCKETT PI (1988) MONTE-CARLO STUDY OF THE INFLUENCE OF COLLECTOR REGION VELOCITY OVERSHOOT ON THE HIGH-FREQUENCY PERFORMANCE OF ALGAAS GAAS HETEROJUNCTION BIPOLAR-TRANSISTORS. IEEE T ELECTRON DEV, 35(10), 1573-1579.
• ROCKETT PI (1987) SIMPLE TECHNIQUE TO IMPROVE THE COMPUTATIONAL-EFFICIENCY OF MONTE-CARLO CARRIER TRANSPORT SIMULATIONS IN SEMICONDUCTORS. IEE PROC-I, 134(3), 101-104.
• POWELL AL, ROCKETT PI & ROBSON PN (1987) A LOW-COST DEEP-ULTRAVIOLET (UV) LIGHT-SOURCE FOR BILEVEL RESIST APPLICATIONS. J VAC SCI TECHNOL B, 5(3), 671-673.
• POWELL AL, MISTRY P, ROBERTS JS & ROCKETT PI (1987) AL0.45GA0.55AS/GAAS HEMTS GROWN BY MOVPE EXHIBITING HIGH TRANSCONDUCTANCE. ELECTRON LETT, 23(10), 528-529.
• Zhang Y & Rockett P () Feature Extraction Using Multi-Objective Genetic Programming, 75-99.
• Dou T, Kaszubowski Lopes Y, Rockett P, Hathway E & Saber E () Model Predictive Control of Non-domestic Heating Using Genetic Programming Dynamic Models. Applied Soft Computing.
• Rockett P () Constant Optimization and Feature Standardization in Multiobjective Genetic Programming. Genetic Programming and Evolvable Machines.
• Owler J & Rockett P () Influence of background preprocessing on the performance of deep learning retinal vessel detection. Journal of Medical Imaging.

Chapters

• Zhang Y & Rockett PI (2006) Multi-objective machine learning In Jin Y (Ed.), Multi-objective machine learning (pp. 75-99). Springer Verlag

Conference proceedings papers

• Rockett P, Kaszubowski Lopes Y, Dou T & Hathway EA (2019) d(Tree)-by-dx : automatic and exact differentiation of genetic programming trees. Lecture Notes in Artificial Intellgence. León, Spain, 4 September 2019 - 6 September 2019. View this article in WRRO
• Hathway EA, Rockett P & Sykes J (2018) Big Data and Model Predictive Control for Improved Building Performance. 2018 Stretching the Envelope View this article in WRRO
• Dou T & Rockett P (2017) Semantic-based local search in multiobjective genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference Companion View this article in WRRO
• Sykes JS, Hathway EA & Rockett P (2015) Model identification for the control of naturally ventilated buildings. 14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings (pp 573-580)
• Hathway EA, Rockett PI & Carpenter P (2013) The use of machine learning in model predictive control for the operation of non-domestic buildings. FutureBuild 2013. Bath, UK, 4 September 2013 - 6 September 2013.
• Liu L, Shao L & Rockett P (2012) Genetic programming-evolved spatio-temporal descriptor for human-action recognition. BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012
• Kumar R, Bal BK & Rockett PI (2009) Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST. Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 (pp 309-316)
• Kumar R, Joshi AH, Banka KK & Rockett PI (2008) Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming. Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08, 12 July 2008 - 16 July 2008.
• Zhang Y, Li H, Niranjan M & Rockett PI (2008) Applying cost-sensitive multiobjective genetic programming to feature extraction for spam e-mail filtering. 11th European Conference on Genetic Programming (EuroGP2008) (pp 325-336-325-336). Naples, Italy
• Badran KMS & Rockett PI (2008) Integrating categorical variables with multiobjective genetic programming for classifier construction. 11th European Conference on Genetic Programming (EuroGP2008) (pp 301-311-301-311). Naples, Italy
• Zhang Y, Li HY, Niranjan M & Rockettl P (2008) Applying cost-sensitive multiobjective genetic programming to feature extraction for spam e-mail filtering. GENETIC PROGRAMMING, PROCEEDINGS, Vol. 4971 (pp 325-336)
• Badran KMS & Rockett PI (2007) The roles of diversity preservation and mutation in preventing population collapse in multiobjective genetic programming. Genetic and Evolutionary Computation Conference (GECCO2007) (pp 1551-1557-1551-1557). London, UK
• Badran KMS & Rockett PI (2007) The Roles of Diversity Preservation and Mutation in Preventing Population Collapse in Multiobjective Genetic Programming. GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2 (pp 1551-1557)
• Zhang Y & Rockett PI (2007) Multiobjective genetic programming feature extraction with optimized dimensionality. SOFT COMPUTING IN INDUSTRIAL APPLICATIONS: RECENT AND EMERGING METHODS AND TECHNIQUES, Vol. 39 (pp 159-168)
• Zhang Y & Rockett PI (2006) Comparison of evolutionary strategies for multi-objective genetic programming. IEEE Systems, Man & Cybernetics Society Conference on Advances in Cybernetic Systems (AICS2006). Sheffield, UK
• Rockett PI (2006) The evolutionary training of linear classifiers. IEEE Systems, Man & Cybernetics Society Conference on Advances in Cybernetic Systems (AICS2006). Sheffield, UK
• Zhang Y & Rockett PI (2005) Evolving optimal feature extraction using multi-objective genetic programming: A methodology and preliminary study on edge detection. Genetic and Evolutionary Computation Conference (GECCO 2005) (pp 795-802-795-802). Washington, DC
• Zhang Y & Rockett PI (2005) Evolving optimal feature extraction using multi-objective genetic programming: A methodology and preliminary study on edge detection. GECCO 2005: Genetic and Evolutionary Computation Conference, Vols 1 and 2 (pp 795-802)
• Kumar R & Rockett P (2004) Effective evolutionary multimodal optimization by multiobjective reformulation without explicit niching/sharing. APPLIED COMPUTING, PROCEEDINGS, Vol. 3285 (pp 1-8)
• Kumar R & Rockett P (2003) Evolutionary multimodal optimization revisited. GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS, Vol. 2724 (pp 1592-1593)
• Kumar R & Rockett P (2002) A Bootstrapped Modular Learning Approach for Scaling and Generalisation of Grey-Level Corner Detection (pp 395-400)
• Choi SH & Rockett P (2000) Reducing the training times of neural classifiers with dataset condensing. ADVANCES IN PATTERN RECOGNITION, Vol. 1876 (pp 650-657)
• Rockett PI (1999) The accuracy of sub-pixel localisation in the Canny edge detector. 10th British Machine Vision Conference (BMVC99) (pp 13-16-13-16). Nottingham, UK
• Caparrelli F, Rockett PI & Yates R (1999) A novel approach to nearest neighbour search in high-dimensional spaces for 3D object recognition. SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS(465) (pp 13-17)
• Aherne F, Rockett P & Thacker N (1997) Automatic parameter selection for object recognition using a parallel multiobjective genetic algorithm (pp 559-566)
• Kumar R, Chen WC, Rockett P, ENGINEERS IE & ENGINEERS IE (1997) Bayesian labelling of image corner features using a grey-level corner model with a bootstrapped modular neural network. FIFTH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS(440) (pp 82-87)
• Kumar R & Rockett PI (1997) Assessing the convergence of rank-based multiobjective genetic algorithms. 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA 97) (pp 19-23-19-23). Glasgow
• Chen W-C & Rockett PI (1997) Bayesian labelling of corners using a grey-level corner image model. IEEE International Conference on Image Processing (ICIP’97) (pp 687-690-687-690). Santa Barbara, CA
• Thacker NA, Prendergast DJ & Rockett PI (1996) B-fitting: An estimation techniques with automatic paramter selection. 7th British Machine Vision Conference (BMVC96). Edinburgh
• Ashbrook AP, Thacker NA & Rockett PI (1995) Multiple shape recognition using pairwise geometric histogram based algorithms. IEE Conference Publication(410) (pp 90-94)
• Chen WC, Thacker NA & Rockett PI (1995) Neural network for probabilistic edge labelling trained with a step edge model. IEE Conference Publication(410) (pp 618-621)
• Chen WC, Thacker NA & Rockett PI (1995) Self-consistent training of a neural network with a step edge model for probabilistic edge labelling. IEE Conference Publication(409) (pp 98-103)
• Ashbrook AP, Thacker NA, Rockett PI & Brown CI (1995) Robust recognition of scaled shapes using pairwise geometric histograms. PROCEEDINGS OF THE 6TH BRITISH MACHINE VISION CONFERENCE 1995, VOLS 1 AND 2 (pp 503-512)
• Vand B, Lopes YK, Hathway EA & Rockett P () Sensitivity analysis of building physical parameters to maximize heating energy saving using MPC. Proceedings of the 3rd International Conference on Energy Harvesting, Storage, and Transfer (EHST'19), 18 June 2019 - 19 June 2019.
• Pettersson H, Grimmeiss HG, Powell AL, Button CC, Roberts JS & Rockett PI () Persistent Decrease of Dark Conductivity due to Illumination in AlGaAs/GaAs Modulation-Doped Heterostructures. Solid State Phenomena, Vol. 32-33 (pp 489-494)
• Paredes Soto D, Chan P & Rockett P () Performance comparison of low-level vessel detection algorithms for segmentation of X-ray angiograms. $16^th$ Medical Image Understanding and Analysis (pp 173-178-173-178)

Reports

• Zhang Y & Rockett PI (2007) Domain-independent approaches to optimize feature extraction for multi-classification using multi-objective genetic programming

Software / Code

• Dou T, Lopes YK & Rockett P gpTreeConstantWFInVall.xml.

Other

• Rockett P (2020) Pruning of genetic programming trees using permutation tests. Evolutionary Intelligence. View this article in WRRO
• Dou T, Kaszubowski Lopes Y, Rockett P, Hathway EA & Saber E () GPML: an XML-based standard for the interchange of genetic programming trees. Genetic Programming and Evolvable Machines. View this article in WRRO
• Zhang Y & Rockett PI () Edge detector evolution using multidimensional multiobjective genetic programming.