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Ponnuthurai N. Suganthan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. A. Kai Qin, S. Y. M. Shi, Ponnuthurai N. Suganthan, Marco Loog
    Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:851-855 [Conf]
  2. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:9-16 [Conf]
  3. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
    On Attributed Relational Graph Matching Using Hopfield Network. [Citation Graph (0, 0)][DBLP]
    ECAI, 1994, pp:236-240 [Conf]
  4. Xiang Cao, Ponnuthurai N. Suganthan
    Video Sequence Boundary Detection Using Neural Gas Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1048-1053 [Conf]
  5. Yin Huang, Ponnuthurai N. Suganthan, Shankar M. Krishnan, Xiang Cao
    Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1042-1047 [Conf]
  6. S. Y. M. Shi, Ponnuthurai N. Suganthan
    Feature Analysis and Classification of Protein Secondary Structure Data. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:1151-1158 [Conf]
  7. Ajantha S. Atukorale, Ponnuthurai N. Suganthan
    Combining Classifiers based on Confidence Values. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:37-40 [Conf]
  8. Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
    Evaluation of Comprehensive Learning Particle Swarm Optimizer. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:230-235 [Conf]
  9. Ponnuthurai N. Suganthan, Nikhil R. Pal
    Pattern Classification Using Multiple SOMs. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1065-1068 [Conf]
  10. Eam Khwang Tang, Ponnuthurai N. Suganthan, Xin Yao
    Nonlinear Feature Extraction Using Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1014-1019 [Conf]
  11. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:125-128 [Conf]
  12. A. Kai Qin, Ponnuthurai N. Suganthan
    Kernel Neural Gas Algorithms with Application to Cluster Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:617-620 [Conf]
  13. A. Kai Qin, Ponnuthurai N. Suganthan
    A Novel Kernel Prototype-Based Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:621-624 [Conf]
  14. Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
    On the Performance of the HONG Network for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:285-290 [Conf]
  15. Jing J. Liang, Ponnuthurai N. Suganthan
    Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:213-220 [Conf]
  16. Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
    Particle swarm optimization algorithms with novel learning strategies. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3659-3664 [Conf]
  17. A. Kai Qin, Ponnuthurai N. Suganthan, Jing J. Liang
    A new generalized LVQ algorithm via harmonic to minimum distance measure transition. [Citation Graph (0, 0)][DBLP]
    SMC (5), 2004, pp:4821-4825 [Conf]
  18. Ganesan Pugalenthi, Ponnuthurai N. Suganthan, Ramanathan Sowdhamini, Saikat Chakrabarti
    SMotif: a server for structural motifs in proteins. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:5, pp:637-638 [Journal]
  19. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    Gene selection algorithms for microarray data based on least squares support vector machine. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:95- [Journal]
  20. V. L. Huang, Ponnuthurai N. Suganthan, Jing J. Liang
    Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:2, pp:209-226 [Journal]
  21. Xiang Cao, Ponnuthurai N. Suganthan
    Neural Network Based Temporal Video Segmentation. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2002, v:12, n:3-4, pp:263-269 [Journal]
  22. Ajantha S. Atukorale, Ponnuthurai N. Suganthan
    Hierarchical overlapped neural gas network with application to pattern classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:35, n:1-4, pp:165-176 [Journal]
  23. Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
    Boosting the HONG network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:51, n:, pp:75-86 [Journal]
  24. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
    Pattern recognition by homomorphic graph matching using Hopfield neural networks. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1995, v:13, n:1, pp:45-60 [Journal]
  25. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
    Self-organizing Hopfield network for attributed relational graph matching. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1995, v:13, n:1, pp:61-73 [Journal]
  26. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
    Optimal mapping of graph homomorphism onto self organising Hopfield network. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1997, v:15, n:9, pp:679-694 [Journal]
  27. Ponnuthurai N. Suganthan, Hong Yan
    Recognition of handprinted Chinese characters by constrained graph matching. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1998, v:16, n:3, pp:191-201 [Journal]
  28. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    An analysis of diversity measures. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:1, pp:247-271 [Journal]
  29. Xiang Cao, Ponnuthurai N. Suganthan
    Video shot motion characterization based on hierarchical overlapped growing neural gas networks. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2003, v:9, n:4, pp:378-385 [Journal]
  30. T. Lu, Ponnuthurai N. Suganthan
    An Accumulation Algorithm for Video Shot Boundary Detection. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2004, v:22, n:1, pp:89-106 [Journal]
  31. Jing J. Liang, S. Baskar, Ponnuthurai N. Suganthan, A. Kai Qin
    Performance Evaluation of Multiagent Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2006, v:5, n:1, pp:83-96 [Journal]
  32. A. Kai Qin, Ponnuthurai N. Suganthan
    Robust growing neural gas algorithm with application in cluster analysis. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1135-1148 [Journal]
  33. A. Kai Qin, Ponnuthurai N. Suganthan
    Initialization insensitive LVQ algorithm based on cost-function adaptation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:5, pp:773-776 [Journal]
  34. A. Kai Qin, Ponnuthurai N. Suganthan
    Enhanced neural gas network for prototype-based clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:8, pp:1275-1288 [Journal]
  35. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:4, pp:613-616 [Journal]
  36. A. Kai Qin, Ponnuthurai N. Suganthan, Marco Loog
    Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:9, pp:1805-1808 [Journal]
  37. Ponnuthurai N. Suganthan
    Pattern classification using multiple hierarchical overlapped self-organising maps. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:11, pp:2173-2179 [Journal]
  38. Ponnuthurai N. Suganthan
    Structural pattern recognition using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:9, pp:1883-1893 [Journal]
  39. Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital
    Pattern recognition by graph matching using the Potts MFT neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1995, v:28, n:7, pp:997-1009 [Journal]
  40. Ponnuthurai N. Suganthan, Hong Yan, Eam Khwang Teoh, Dinesh P. Mital
    Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1998, v:31, n:5, pp:623-639 [Journal]
  41. Eam Khwang Tang, Ponnuthurai N. Suganthan, Xin Yao, A. Kai Qin
    Linear dimensionality reduction using relevance weighted LDA. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:4, pp:485-493 [Journal]
  42. Qin-Yu Zhu, A. Kai Qin, Ponnuthurai N. Suganthan, Guang-Bin Huang
    Evolutionary extreme learning machine. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:10, pp:1759-1763 [Journal]
  43. K. G. Khoo, Ponnuthurai N. Suganthan
    Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:13, pp:1589-1597 [Journal]
  44. Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar
    Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:3, pp:281-295 [Journal]
  45. K. G. Khoo, Ponnuthurai N. Suganthan
    Structural pattern recognition using genetic algorithms with specialized operators. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2003, v:33, n:1, pp:156-165 [Journal]
  46. Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Qe Pan
    A discrete particle swarm optimization algorithm for the generalized traveling salesman problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:158-167 [Conf]
  47. Jing J. Liang, Ponnuthurai N. Suganthan
    Dynamic multi-swarm particle swarm optimizer with local search. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:522-528 [Conf]
  48. A. Kai Qin, Ponnuthurai N. Suganthan
    Self-adaptive differential evolution algorithm for numerical optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1785-1791 [Conf]

  49. Feature Selection Approach for Quantitative Prediction of Transcriptional Activities. [Citation Graph (, )][DBLP]


  50. Prediction of Transcription Factor Families Using DNA Sequence Features. [Citation Graph (, )][DBLP]


  51. LisBON: A framework for parallelisation and hybridisation of optimisation algorithms. [Citation Graph (, )][DBLP]


  52. A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. [Citation Graph (, )][DBLP]


  53. Multi-objective optimization based on self-adaptive differential evolution algorithm. [Citation Graph (, )][DBLP]


  54. A genetic algorithm for the generalized traveling salesman problem. [Citation Graph (, )][DBLP]


  55. A multi-layered solution for supporting isp traffic demand using genetic algorithm. [Citation Graph (, )][DBLP]


  56. Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization. [Citation Graph (, )][DBLP]


  57. Improved MOCLPSO algorithm for environmental/economic dispatch. [Citation Graph (, )][DBLP]


  58. Empirical study on the effect of population size on Differential evolution Algorithm. [Citation Graph (, )][DBLP]


  59. Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems. [Citation Graph (, )][DBLP]


  60. Empirical comparison of niching methods on hybrid composition functions. [Citation Graph (, )][DBLP]


  61. Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion. [Citation Graph (, )][DBLP]


  62. Evaluation of novel adaptive evolutionary programming on four constraint handling techniques. [Citation Graph (, )][DBLP]


  63. Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster. [Citation Graph (, )][DBLP]


  64. Multi-objective optimization using self-adaptive differential evolution algorithm. [Citation Graph (, )][DBLP]


  65. A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization. [Citation Graph (, )][DBLP]


  66. Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems. [Citation Graph (, )][DBLP]


  67. A Harmony Search Algorithm with Ensemble of Parameter Sets. [Citation Graph (, )][DBLP]


  68. Differential Evolution Algorithms for the Generalized Assignment problem. [Citation Graph (, )][DBLP]


  69. Evolutionary programming with ensemble of explicit memories for dynamic optimization. [Citation Graph (, )][DBLP]


  70. Diversity enhanced particle swarm optimizer for global optimization of multimodal problems. [Citation Graph (, )][DBLP]


  71. Personal Identification System based on Multiple Palmprint Features. [Citation Graph (, )][DBLP]


  72. Genetic Algorithm for Silhouette Matching. [Citation Graph (, )][DBLP]


  73. Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble. [Citation Graph (, )][DBLP]


  74. A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. [Citation Graph (, )][DBLP]


  75. A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems. [Citation Graph (, )][DBLP]


  76. A differential evolution algorithm with self-adapting strategy and control parameters. [Citation Graph (, )][DBLP]


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