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Sanghamitra Bandyopadhyay: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sriparna Saha, Sanghamitra Bandyopadhyay, Ujjwal Maulik
    A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIT, 2006, pp:121-124 [Conf]
  2. Sriparna Saha, Susmita Sur-Kolay, Sanghamitra Bandyopadhyay, Parthasarathi Dasgupta
    Multiobjective Genetic Algorithm for k-way Equipartitioning of a Point Set with Application to CAD-VLSI. [Citation Graph (0, 0)][DBLP]
    ICIT, 2006, pp:281-284 [Conf]
  3. Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
    Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    ICIT, 2006, pp:11-14 [Conf]
  4. Sanghamitra Bandyopadhyay, Ujjwal Maulik, Diane J. Cook, Lawrence B. Holder, Yousuf Ajmerwala
    Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2002, pp:232-236 [Conf]
  5. Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal
    New Operators of Genetic Algorithms for Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:497-500 [Conf]
  6. S. Bhattacharya, Ujjwal Maulik, Sanghamitra Bandyopadhyay
    Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2002, pp:- [Conf]
  7. Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira
    Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2002, pp:- [Conf]
  8. Sanghamitra Bandyopadhyay
    Feature Extraction in Transformed Domain for Protein Superfamily Identification from Amino Acid Sequences. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:610-620 [Conf]
  9. S. Roy, Sanghamitra Bandyopadhyay, Ujjwal Maulik
    Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:646-655 [Conf]
  10. Sanghamitra Bandyopadhyay
    Automatic Determination of the Number of Fuzzy Clusters Using Simulated Annealing with Variable Representation. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:594-602 [Conf]
  11. Hillol Kargupta, Sanghamitra Bandyopadhyay
    Further Experimentations on the Scalability of the GEMGA. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:315-324 [Conf]
  12. Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal
    New Genetic Operators for Solving TSP: Application to Microarray Gene Ordering. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:617-622 [Conf]
  13. Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal
    Incorporating Distance Domination in Multiobjective Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:684-689 [Conf]
  14. Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal
    A Multi-objective Genetic Algorithm with Relative Distance: Method, Performance Measures and Constraint Handling. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:315-319 [Conf]
  15. Sriparna Saha, Sanghamitra Bandyopadhyay
    A Fuzzy Genetic Clustering Technique Using a New Symmetry Based Distance for Automatic Evolution of Clusters. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:309-314 [Conf]
  16. Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal
    New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:337-341 [Conf]
  17. Sanghamitra Bandyopadhyay
    An efficient technique for superfamily classification of amino acid sequences: feature extraction, fuzzy clustering and prototype selection. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:5-16 [Journal]
  18. Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik
    A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:155, n:2, pp:191-214 [Journal]
  19. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Relation Between VGA-classifier and MLP : Determination of Network Architecture. [Citation Graph (0, 0)][DBLP]
    Fundam. Inform., 1999, v:37, n:1-2, pp:177-199 [Journal]
  20. Sanghamitra Bandyopadhyay, Ujjwal Maulik, Malay Kumar Pakhira
    Clustering Using Simulated Annealing with Probabilistic Redistribution. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2001, v:15, n:2, pp:269-285 [Journal]
  21. Sanghamitra Bandyopadhyay, Ujjwal Maulik
    An evolutionary technique based on K-Means algorithm for optimal clustering in RN. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:146, n:1-4, pp:221-237 [Journal]
  22. Sanghamitra Bandyopadhyay, Sankar K. Pal, Ujjwal Maulik
    Incorporating Chromosome Differentaition in Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:104, n:3-4, pp:293-319 [Journal]
  23. Sanghamitra Bandyopadhyay, Sankar K. Pal, C. A. Murthy
    Simulated Annealing Based Pattern Classification. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:109, n:1-4, pp:165-184 [Journal]
  24. Sanghamitra Bandyopadhyay, Chris Giannella, Ujjwal Maulik, Hillol Kargupta, Kun Liu, Souptik Datta
    Clustering distributed data streams in peer-to-peer environments. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:14, pp:1952-1985 [Journal]
  25. Sanghamitra Bandyopadhyay, Angshuman Bagchi, Ujjwal Maulik
    Active Site Driven Ligand Design: an Evolutionary Approach. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:5, pp:1053-1070 [Journal]
  26. Ujjwal Maulik, Sanghamitra Bandyopadhyay, John C. Trinder
    SAFE: An Efficient Feature Extraction Technique. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2001, v:3, n:3, pp:374-387 [Journal]
  27. Ujjwal Maulik, Sanghamitra Bandyopadhyay
    Performance Evaluation of Some Clustering Algorithms and Validity Indices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:12, pp:1650-1654 [Journal]
  28. Sanghamitra Bandyopadhyay
    An automatic shape independent clustering technique. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:1, pp:33-45 [Journal]
  29. Sanghamitra Bandyopadhyay, Ujjwal Maulik
    Genetic clustering for automatic evolution of clusters and application to image classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:6, pp:1197-1208 [Journal]
  30. Sanghamitra Bandyopadhyay, Ujjwal Maulik
    Efficient prototype reordering in nearest neighbor classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:12, pp:2791-2799 [Journal]
  31. Ujjwal Maulik, Sanghamitra Bandyopadhyay
    Genetic algorithm-based clustering technique. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:9, pp:1455-1465 [Journal]
  32. Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik
    Validity index for crisp and fuzzy clusters. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:3, pp:487-501 [Journal]
  33. Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal
    Pattern classification with genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:8, pp:801-808 [Journal]
  34. Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal
    Pattern classification using genetic algorithms: Determination of H. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:13, pp:1171-1181 [Journal]
  35. Sanghamitra Bandyopadhyay, Sankar K. Pal
    Pattern classification with genetic algorithms: Incorporation of chromosome differentiation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:2, pp:119-131 [Journal]
  36. Sanghamitra Bandyopadhyay
    Simulated Annealing Using a Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:4, pp:479-490 [Journal]
  37. Sanghamitra Bandyopadhyay, C. A. Murthy, Sankar K. Pal
    VGA-Classifier: design and applications. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:6, pp:890-895 [Journal]
  38. Sankar K. Pal, Sanghamitra Bandyopadhyay, C. A. Murthy
    Genetic algorithms for generation of class boundaries. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:6, pp:816-828 [Journal]
  39. Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Sankar K. Pal
    Genetic operators for combinatorial optimization in TSP and microarray gene ordering. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2007, v:26, n:3, pp:183-195 [Journal]
  40. Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal
    Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:22, pp:5033-5049 [Journal]
  41. Sanghamitra Bandyopadhyay, Sriparna Saha
    GAPS: A clustering method using a new point symmetry-based distance measure. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3430-3451 [Journal]

  42. Multiobjective Genetic Fuzzy Clustering of Categorical Attributes. [Citation Graph (, )][DBLP]


  43. Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion. [Citation Graph (, )][DBLP]


  44. An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. [Citation Graph (, )][DBLP]


  45. Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification. [Citation Graph (, )][DBLP]


  46. Integration of Co-expression Networks for Gene Clustering. [Citation Graph (, )][DBLP]


  47. A Validity Index Based on Connectivity. [Citation Graph (, )][DBLP]


  48. Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation. [Citation Graph (, )][DBLP]


  49. A Neuro-GA Approach for the Maximum Fuzzy Clique Problem. [Citation Graph (, )][DBLP]


  50. A New Principal Axis Based Line Symmetry Measurement and Its Application to Clustering. [Citation Graph (, )][DBLP]


  51. A new multiobjective simulated annealing based clustering technique using stability and symmetry. [Citation Graph (, )][DBLP]


  52. A multiobjective simulated annealing based fuzzy-clustering technique with symmetry for pixel classification in remote sensing imagery. [Citation Graph (, )][DBLP]


  53. A new line symmetry distance based pattern classifier. [Citation Graph (, )][DBLP]


  54. Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. [Citation Graph (, )][DBLP]


  55. A validity index based on cluster symmetry. [Citation Graph (, )][DBLP]


  56. Adaptive mufti-objective particle swarm optimization algorithm. [Citation Graph (, )][DBLP]


  57. On some symmetry based validity indices. [Citation Graph (, )][DBLP]


  58. MRI brain image segmentation by fuzzy symmetry based genetic clustering technique. [Citation Graph (, )][DBLP]


  59. Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation. [Citation Graph (, )][DBLP]


  60. Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure. [Citation Graph (, )][DBLP]


  61. Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering. [Citation Graph (, )][DBLP]


  62. Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. [Citation Graph (, )][DBLP]


  63. MAkE: Multiobjective algorithm for k-way equipartitioning of a point set. [Citation Graph (, )][DBLP]


  64. An improved algorithm for clustering gene expression data. [Citation Graph (, )][DBLP]


  65. TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples. [Citation Graph (, )][DBLP]


  66. Analyzing miRNA co-expression networks to explore TF-miRNA regulation. [Citation Graph (, )][DBLP]


  67. Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes. [Citation Graph (, )][DBLP]


  68. PuTmiR: A database for extracting neighboring transcription factors of human microRNAs. [Citation Graph (, )][DBLP]


  69. SFSSClass: an integrated approach for miRNA based tumor classification. [Citation Graph (, )][DBLP]


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