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Malcolm I. Heywood: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
    Evolving Successful Stack Overflow Attacks for Vulnerability Testing. [Citation Graph (0, 0)][DBLP]
    ACSAC, 2005, pp:225-234 [Conf]
  2. Robert Curry, Malcolm I. Heywood
    Towards Efficient Training on Large Datasets for Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:161-174 [Conf]
  3. Bin Tang, Michael Shepherd, Malcolm I. Heywood, Xiao Luo
    Comparing Dimension Reduction Techniques for Document Clustering. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:292-296 [Conf]
  4. Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, Andrew R. McIntyre, Malcolm I. Heywood
    Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:97-102 [Conf]
  5. Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
    On Dataset Biases in a Learning System with Minimum A Priori Information for Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    CNSR, 2004, pp:181-189 [Conf]
  6. Andrew R. McIntyre, Malcolm I. Heywood, Paul Habib Artes, Syed Sibte Raza Abidi
    Toward Glaucoma Classification with Moment Methods. [Citation Graph (0, 0)][DBLP]
    CRV, 2004, pp:265-272 [Conf]
  7. P. W. Lei, Malcolm I. Heywood, Chris R. Chatwin
    Negotiating Agents in Manufacturing Decision Making Processes. [Citation Graph (0, 0)][DBLP]
    E-Commerce Agents, 2001, pp:135-153 [Conf]
  8. Malcolm I. Heywood, A. Nur Zincir-Heywood
    Register Based Genetic Programming on FPGA Computing Platforms. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2000, pp:44-59 [Conf]
  9. Garnett Carl Wilson, Malcolm I. Heywood
    Context-Based Repeated Sequences in Linear Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:240-249 [Conf]
  10. Ashley George, Malcolm I. Heywood
    Improving GP classifier generalization using a cluster separation metric. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:939-940 [Conf]
  11. Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood
    On evolving buffer overflow attacks using genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1667-1674 [Conf]
  12. Michal Lemczyk, Malcolm I. Heywood
    Pareto-coevolutionary genetic programming classifier. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:945-946 [Conf]
  13. Suihong Liang, A. Nur Zincir-Heywood, Malcolm I. Heywood
    Intelligent Packets For Dynamic Network Routing Using Distributed Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:88-96 [Conf]
  14. Andrew R. McIntyre, Malcolm I. Heywood
    MOGE: GP classification problem decomposition using multi-objective optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:863-870 [Conf]
  15. Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywood
    Evolving recurrent models using linear GP. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1787-1788 [Conf]
  16. Andrew R. McIntyre, Malcolm I. Heywood
    On Multi-class Classification by Way of Niching. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:581-592 [Conf]
  17. Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywood
    A Linear Genetic Programming Approach to Intrusion Detection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:2325-2336 [Conf]
  18. M. David Terrio, Malcolm I. Heywood
    On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:678-689 [Conf]
  19. Garnett Carl Wilson, Malcolm I. Heywood
    Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:2067-2073 [Conf]
  20. V. Paraskevopoulos, Chris R. Chatwin, Malcolm I. Heywood
    Continuous Optimal Controllers Using Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:331-336 [Conf]
  21. Garnett Carl Wilson, Malcolm I. Heywood
    Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:751-760 [Conf]
  22. Hilmi Günes Kayacik, A. Nur Zincir-Heywood, Malcolm I. Heywood
    Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99. [Citation Graph (0, 0)][DBLP]
    PST, 2005, pp:- [Conf]
  23. S. Liang, A. Nur Zincir-Heywood, Malcolm I. Heywood
    Adding more intelligence to the network routing problem: AntNet and Ga-agents. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2006, v:6, n:3, pp:244-257 [Journal]
  24. Garnett Carl Wilson, Andrew R. McIntyre, Malcolm I. Heywood
    Resource Review: Three Open Source Systems for Evolving Programs-Lilgp, ECJ and Grammatical Evolution. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2004, v:5, n:1, pp:103-105 [Journal]
  25. A. Nur Zincir-Heywood, Malcolm I. Heywood, Chris R. Chatwin, Turhan Tunali
    Heterogeneous Digital Library Query Platform Using a Truly Distributed Multi-Agent Search. [Citation Graph (0, 0)][DBLP]
    Int. J. Cooperative Inf. Syst., 2000, v:9, n:3, pp:229-254 [Journal]
  26. Malcolm I. Heywood, A. Nur Zincir-Heywood, Chris R. Chatwin
    Digital library query clearing using clustering and fuzzy decision-making. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2000, v:36, n:4, pp:571-583 [Journal]
  27. Leigh Wetmore, Malcolm I. Heywood, A. Nur Zincir-Heywood
    Speeding up the Self-Organizing Feature Map Using Dynamic Subset Selection. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2005, v:22, n:1, pp:17-32 [Journal]
  28. Dong Song, Malcolm I. Heywood, A. Nur Zincir-Heywood
    Training genetic programming on half a million patterns: an example from anomaly detection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:3, pp:225-239 [Journal]
  29. A. Nur Zincir-Heywood, Malcolm I. Heywood, Chris R. Chatwin
    Object-Orientated Design of Digital Library Platforms for Multiagent Environments. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2002, v:14, n:2, pp:281-295 [Journal]
  30. Malcolm I. Heywood, A. Nur Zincir-Heywood
    Dynamic page based crossover in linear genetic programming. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:3, pp:380-388 [Journal]
  31. Michal Lemczyk, Malcolm I. Heywood
    Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2007, pp:229-240 [Conf]
  32. Peter Lichodzijewski, Malcolm I. Heywood
    GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2007, pp:137-147 [Conf]
  33. Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood
    Evolving Buffer Overflow Attacks with Detector Feedback. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2007, pp:11-20 [Conf]
  34. Peter Lichodzijewski, Malcolm I. Heywood
    Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:464-471 [Conf]
  35. Garnett Carl Wilson, Malcolm I. Heywood
    Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1053-1061 [Conf]
  36. Andrew R. McIntyre, Malcolm I. Heywood
    Toward co-evolutionary training of a multi-class classifier. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2130-2137 [Conf]
  37. Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Zincir-Heywood
    CasGP: building cascaded hierarchical models using niching. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1180-1187 [Conf]
  38. Garnett Carl Wilson, Malcolm I. Heywood
    Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2007, v:8, n:2, pp:187-220 [Journal]

  39. Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. [Citation Graph (, )][DBLP]


  40. GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. [Citation Graph (, )][DBLP]


  41. One-Class Genetic Programming. [Citation Graph (, )][DBLP]


  42. Novelty-Based Fitness: An Evaluation under the Santa Fe Trail. [Citation Graph (, )][DBLP]


  43. Testing Detector Parameterization Using Evolutionary Exploit Generation. [Citation Graph (, )][DBLP]


  44. Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation. [Citation Graph (, )][DBLP]


  45. Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review. [Citation Graph (, )][DBLP]


  46. Using Code Bloat to Obfuscate Evolved Network Traffic. [Citation Graph (, )][DBLP]


  47. Managing team-based problem solving with symbiotic bid-based genetic programming. [Citation Graph (, )][DBLP]


  48. Benchmarking coevolutionary teaming under classification problems with large attribute spaces. [Citation Graph (, )][DBLP]


  49. Evolutionary clustering with arbitrary subspaces. [Citation Graph (, )][DBLP]


  50. Classifying SSH encrypted traffic with minimum packet header features using genetic programming. [Citation Graph (, )][DBLP]


  51. Symbiosis, complexification and simplicity under GP. [Citation Graph (, )][DBLP]


  52. Growing recurrent self organizing map. [Citation Graph (, )][DBLP]


  53. One-class learning with multi-objective genetic programming. [Citation Graph (, )][DBLP]


  54. Multi-objective competitive coevolution for efficient GP classifier problem decomposition. [Citation Graph (, )][DBLP]


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