The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.119secs, Finished in 0.122secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002