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Mohamed S. Kamel: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hanan Ayad, Mohamed S. Kamel
    Topic Discovery from Text Using Aggregation of Different Clustering Methods. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2002, pp:161-175 [Conf]
  2. Jan Bakus, Mohamed S. Kamel, Tom Carey
    Extraction of Text Phrases Using Hierarchical Grammar. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2002, pp:319-324 [Conf]
  3. Ibrahim El Rube, Maher Ahmed, Mohamed S. Kamel
    Affine Invariant Multiscale Wavelet-Based Shape Matching Algorithm. [Citation Graph (0, 0)][DBLP]
    CRV, 2004, pp:217-224 [Conf]
  4. Christine Wong, Mohamed S. Kamel
    Comparing Viewpoint Evaluation Functions for Model-Based Inspectional Coverage. [Citation Graph (0, 0)][DBLP]
    CRV, 2004, pp:287-294 [Conf]
  5. Elhadi Shakshuki, Hamada Ghenniwa, Mohamed S. Kamel
    A Multi-Agent System Architecture for Information Gathering. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 2000, pp:732-738 [Conf]
  6. Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
    A Probabilistic Model for the Cooperative Modular Neural Network. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:11-18 [Conf]
  7. Elhadi Shakshuki, Leif Koch, Mohamed S. Kamel
    Evaluation of Multi-Agent Toolkits: A Benchmark. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:797-802 [Conf]
  8. Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong
    Empirical Study on Weighted Voting Multiple Classifiers. [Citation Graph (0, 0)][DBLP]
    ICAPR (1), 2005, pp:335-344 [Conf]
  9. Nayer M. Wanas, Mohamed S. Kamel
    Feature Based Decision Fusion. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:176-185 [Conf]
  10. Khaled M. Hammouda, Mohamed S. Kamel
    Phrase-based Document Similarity Based on an Index Graph Model. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:203-210 [Conf]
  11. Yanmin Sun, Mohamed S. Kamel, Yang Wang
    Boosting for Learning Multiple Classes with Imbalanced Class Distribution. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:592-602 [Conf]
  12. Shady Shehata, Fakhri Karray, Mohamed S. Kamel
    Enhancing Text Clustering Using Concept-based Mining Model. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1043-1048 [Conf]
  13. Shady Shehata, Fakhri Karray, Mohamed S. Kamel
    Enhancing Text Retrieval Performance using Conceptual Ontological Graph. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:39-44 [Conf]
  14. Naif Alajlan, Ossama El Badawy, Mohamed S. Kamel, George H. Freeman
    Envelope Detection of Multi-object Shapes. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:399-406 [Conf]
  15. Ossama El Badawy, Mohamed S. Kamel
    Compressing 2-D Shapes Using Concavity Trees. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:559-566 [Conf]
  16. A. Kohandani, O. Basir, M. Kamel
    A Fast Algorithm for Template Matching. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2006, pp:398-409 [Conf]
  17. Ibrahim El Rube, Naif Alajlan, Mohamed S. Kamel, Maher Ahmed, George H. Freeman
    Efficient Multiscale Shape-Based Representation and Retrieval. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:415-422 [Conf]
  18. Ossama El Badawy, Mahmoud R. El-Sakka, Khaled Hassanein, Mohamed S. Kamel
    Image data mining from financial documents based on wavelet features. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:1078-1081 [Conf]
  19. Mahmoud R. El-Sakka, Mohamed S. Kamel
    Adaptive Image Compression based on Segmentation and Block Classification. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:555-559 [Conf]
  20. Mahmoud F. Hussin, Mohamed S. Kamel, Magdy H. Nagi
    An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:158-165 [Conf]
  21. Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
    Combining Independent and Unbiased Classifiers Using Weighted Average. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2495-2498 [Conf]
  22. Hanan Ayad, Mohamed S. Kamel
    Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:307-318 [Conf]
  23. Elhadi Shakshuki, Hamada Ghenniwa, Mohamed S. Kamel
    Information Gathering System: Internet Navigation. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Integration, 1999, pp:- [Conf]
  24. Hazem M. El-Bakry, M. A. Abo-Elsoud, Mohamed S. Kamel
    Fast Modular Neural Nets for Human Face Detection. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:320-326 [Conf]
  25. Alex Lopez-Suarez, Mohamed S. Kamel
    Restructuring Rule Bases to Improve Performance. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1994, pp:396-405 [Conf]
  26. Hanan Ayad, Mohamed S. Kamel
    Finding Natural Clusters Using Multi-clusterer Combiner Based on Shared Nearest Neighbors. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:166-175 [Conf]
  27. Hanan Ayad, Mohamed S. Kamel
    Cluster-Based Cumulative Ensembles. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:236-245 [Conf]
  28. Lei Chen, Mohamed S. Kamel
    Design of Multiple Classifier Systems for Time Series Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:216-225 [Conf]
  29. Mohamed S. Kamel, Nayer M. Wanas
    Data Dependence in Combining Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:1-14 [Conf]
  30. Rozita A. Dara, Mohamed S. Kamel
    Sharing Training Patterns among Multiple Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:243-252 [Conf]
  31. Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel
    Data Partitioning Evaluation Measures for Classifier Ensembles. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:306-315 [Conf]
  32. Adeoye I. Adegorite, Otman A. Basir, Mohamed S. Kamel, Khaled B. Shaban
    An Approach to Mining Picture Objects Based on Textual Cues. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:466-475 [Conf]
  33. Masoud Makrehchi, Mohamed S. Kamel
    Text Classification Using Small Number of Features. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:580-589 [Conf]
  34. Khaled M. Hammouda, Diego N. Matute, Mohamed S. Kamel
    CorePhrase: Keyphrase Extraction for Document Clustering. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:265-274 [Conf]
  35. Gasser Auda, Mohamed S. Kamel
    A Modular Neural Network for Vague Classification. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2000, pp:584-589 [Conf]
  36. Khaled M. Hammouda, Mohamed S. Kamel
    Collaborative Document Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  37. Yuri Quintana, Mohamed S. Kamel, Rob McGeachy
    Formal methods for evaluating information retrieval in hypertext systems. [Citation Graph (0, 0)][DBLP]
    SIGDOC, 1993, pp:259-272 [Conf]
  38. Yuri Quintana, Mohamed S. Kamel, Andrew Lo
    Graph-based retrieval of information in hypertext systems. [Citation Graph (0, 0)][DBLP]
    SIGDOC, 1992, pp:157-168 [Conf]
  39. Yuri Quintana, Rob McGeachy, Mohamed S. Kamel
    Information retrieval from hypertext documents (solution session). [Citation Graph (0, 0)][DBLP]
    SIGDOC, 1993, pp:371-372 [Conf]
  40. Rozita A. Dara, Mohamed S. Kamel
    Effect of sharing training patterns on the performance of classifier ensemble. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1220-1225 [Conf]
  41. Rozita A. Dara, Masoud Makrehchi, Mohamed S. Kamel
    An information-theoretic measure to evaluate data partitions in multiple classifiers. [Citation Graph (0, 0)][DBLP]
    SMC (5), 2004, pp:4826-4831 [Conf]
  42. Ju Jiang, Mohamed S. Kamel, Lei Chen
    Reinforcement learning and aggregation. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1303-1308 [Conf]
  43. Sarbast M. Rasheed, Daniel E. Stashuk, Mohamed S. Kamel
    Multi-classification techniques applied to EMG signal decomposition. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1226-1231 [Conf]
  44. Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
    Bounds for the Average Generalization Error of the Mixture of Experts Neural Network. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:618-625 [Conf]
  45. Jan Bakus, Mohamed S. Kamel
    Document Classification Using Phrases. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:557-565 [Conf]
  46. Khaled M. Hammouda, Mohamed S. Kamel
    Incremental Document Clustering Using Cluster Similarity Histograms. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2003, pp:597-601 [Conf]
  47. Masoud Makrehchi, Mohamed S. Kamel
    Learning Social Networks from Web Documents Using Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2006, pp:88-94 [Conf]
  48. Mohamed S. Kamel, Helen C. Shen, Andrew K. C. Wong, Radu I. Campeanu
    System for the Recognition of Human Faces. [Citation Graph (0, 0)][DBLP]
    IBM Systems Journal, 1993, v:32, n:2, pp:307-320 [Journal]
  49. Ju Jiang, Mohamed S. Kamel, Lei Chen
    Aggregation of Multiple Reinforcement Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2006, v:15, n:5, pp:855-861 [Journal]
  50. Ibrahim El Rube, Naif Alajlan, Mohamed S. Kamel, Maher Ahmed, George H. Freeman
    Mtar: a Robust 2d Shape Representation. [Citation Graph (0, 0)][DBLP]
    Int. J. Image Graphics, 2006, v:6, n:3, pp:421-444 [Journal]
  51. Elhadi Shakshuki, Hamada Ghenniwa, Mohamed S. Kamel
    Agent-Based System Architecture for Dynamic and Open Environments. [Citation Graph (0, 0)][DBLP]
    International Journal of Information Technology and Decision Making, 2003, v:2, n:1, pp:105-134 [Journal]
  52. Gasser Auda, Mohamed S. Kamel
    Modular Neural Networks A Survey. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:2, pp:129-151 [Journal]
  53. Gasser Auda, Mohamed S. Kamel
    CMNN: Cooperative Modular Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:20, n:1-3, pp:189-207 [Journal]
  54. Jan Bakus, Mohamed S. Kamel
    Higher order feature selection for text classification. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:4, pp:468-491 [Journal]
  55. Khaled M. Hammouda, Mohamed S. Kamel
    Document Similarity Using a Phrase Indexing Graph Model. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2004, v:6, n:6, pp:710-727 [Journal]
  56. Alex Lopez-Suarez, Mohamed S. Kamel
    DyKOr: a method for generating the content of explanations in knowledge systems. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1994, v:7, n:3, pp:177-188 [Journal]
  57. Elhadi Shakshuki, Hamada Ghenniwa, Mohamed S. Kamel
    An architecture for cooperative information systems. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2003, v:16, n:1, pp:17-27 [Journal]
  58. Mohamed S. Kamel, Jorge Padilha
    High performance computing for industrial visual inspection. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 2000, v:12, n:4, pp:157-157 [Journal]
  59. Ibrahim El Rube, Maher Ahmed, Mohamed S. Kamel
    Wavelet Approximation-Based Affine Invariant Shape Representation Functions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:2, pp:323-327 [Journal]
  60. M. A. Ismail, Mohamed S. Kamel
    Multidimensional data clustering utilizing hybrid search strategies. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1989, v:22, n:1, pp:75-89 [Journal]
  61. Mohamed S. Kamel, Shokri Z. Selim
    A thresholded fuzzy c-means algorithm for semi-fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1991, v:24, n:9, pp:825-833 [Journal]
  62. Mohamed S. Kamel, Shokri Z. Selim
    New algorithms for solving the fuzzy clustering problem. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1994, v:27, n:3, pp:421-428 [Journal]
  63. Adams Kong, King Hong Cheung, David Zhang, Mohamed S. Kamel, Jane You
    An analysis of BioHashing and its variants. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:7, pp:1359-1368 [Journal]
  64. Nayer M. Wanas, Rozita A. Dara, Mohamed S. Kamel
    Adaptive fusion and co-operative training for classifier ensembles. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:9, pp:1781-1794 [Journal]
  65. Yan Yang, Mohamed S. Kamel
    An aggregated clustering approach using multi-ant colonies algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:7, pp:1278-1289 [Journal]
  66. Gasser Auda, Mohamed S. Kamel
    CMNN: Cooperative Modular Neural Networks for pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1391-1398 [Journal]
  67. Ossama El Badawy, Mohamed S. Kamel
    Hierarchical representation of 2-D shapes using convex polygons: a contour-based approach. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:7, pp:865-877 [Journal]
  68. Luís A. Alexandre, Aurélio C. Campilho, Mohamed S. Kamel
    On combining classifiers using sum and product rules. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:12, pp:1283-1289 [Journal]
  69. Mohamed S. Kamel, Helen C. Shen, Andrew K. C. Wong, T. M. Hong, Radu I. Campeanu
    Face recognition using perspective invariant features. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1994, v:15, n:9, pp:877-883 [Journal]
  70. Nayer M. Wanas, Mohamed S. Kamel, Gasser Auda, Fakhri Karray
    Feature-based decision aggregation in modular neural network classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1353-1359 [Journal]
  71. Chunlin Zhang, Ju Jiang, Mohamed S. Kamel
    Intrusion detection using hierarchical neural networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:6, pp:779-791 [Journal]
  72. Ahmed S. Abutaleb, Mohamed S. Kamel
    A genetic algorithm for the estimation of ridges in fingerprints. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:8, pp:1134-1139 [Journal]
  73. Amer Dawoud, Mohamed S. Kamel
    Iterative multimodel subimage binarization for handwritten character segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2004, v:13, n:9, pp:1223-1230 [Journal]
  74. Derek Batty, Mohamed S. Kamel
    Automating Knowledge Acquisition: A Propositional Approach to Representing Expertise as an Alternative to Repertory Grid Technique. [Citation Graph (0, 5)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1995, v:7, n:1, pp:53-67 [Journal]
  75. Khaled M. Hammouda, Mohamed S. Kamel
    Efficient Phrase-Based Document Indexing for Web Document Clustering. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2004, v:16, n:10, pp:1279-1296 [Journal]
  76. Alex Lopez-Suarez, Mohamed S. Kamel
    Reorganizing Knowledge to Improve Performance. [Citation Graph (0, 7)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1998, v:10, n:1, pp:190-191 [Journal]
  77. Wayne H. Enright, Mohamed S. Kamel
    Automatic Partitioning of Stiff Systems and Exploiting the Resulting Structure. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Math. Softw., 1979, v:5, n:4, pp:374-385 [Journal]
  78. Lovell Hodge, Mohamed S. Kamel
    An agent-based approach to multisensor coordination. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:5, pp:648-661 [Journal]
  79. Ben W. Miners, Otman A. Basir, Mohamed S. Kamel
    Understanding hand gestures using approximate graph matching. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2005, v:35, n:2, pp:239-248 [Journal]
  80. Khaled M. Hammouda, Mohamed S. Kamel
    HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  81. Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang
    Cost-sensitive boosting for classification of imbalanced data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:12, pp:3358-3378 [Journal]
  82. Naif Alajlan, Ibrahim El Rube, Mohamed S. Kamel, George H. Freeman
    Shape retrieval using triangle-area representation and dynamic space warping. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:7, pp:1911-1920 [Journal]

  83. Enhanced document clustering using fusion of multiscale wavelet decomposition. [Citation Graph (, )][DBLP]


  84. Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis. [Citation Graph (, )][DBLP]


  85. Pattern Cores And Connectedness in Cancer Gene Expression. [Citation Graph (, )][DBLP]


  86. Discovering Connected Patterns in Gene Expression Arrays. [Citation Graph (, )][DBLP]


  87. Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets. [Citation Graph (, )][DBLP]


  88. Automatic Extraction of Domain-Specific Stopwords from Labeled Documents. [Citation Graph (, )][DBLP]


  89. Black-box optimization benchmarking for noiseless function testbed using PSO_bounds. [Citation Graph (, )][DBLP]


  90. Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization. [Citation Graph (, )][DBLP]


  91. Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid. [Citation Graph (, )][DBLP]


  92. A Text Classification Framework with a Local Feature Ranking for Learning Social Networks. [Citation Graph (, )][DBLP]


  93. Learning Term Dependency Links Using Information Theoretic Inclusion Measure. [Citation Graph (, )][DBLP]


  94. Document Clustering Using Semantic Kernels Based on Term-Term Correlations. [Citation Graph (, )][DBLP]


  95. Enhancing Text Clustering Performance Using Semantic Similarity. [Citation Graph (, )][DBLP]


  96. Efficient Bisecting k-Medoids and Its Application in Gene Expression Analysis. [Citation Graph (, )][DBLP]


  97. Finding Arbitrary Shaped Clusters for Character Recognition. [Citation Graph (, )][DBLP]


  98. Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems. [Citation Graph (, )][DBLP]


  99. Segmentation of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm. [Citation Graph (, )][DBLP]


  100. Segment-based approach to the recognition of emotions in speech. [Citation Graph (, )][DBLP]


  101. Incremental clustering algorithm based on phrase-semantic similarity histogram. [Citation Graph (, )][DBLP]


  102. A novel validity measure for clusters of arbitrary shapes and densities. [Citation Graph (, )][DBLP]


  103. Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms. [Citation Graph (, )][DBLP]


  104. Aggregation of Reinforcement Learning Algorithms. [Citation Graph (, )][DBLP]


  105. A Cooperative Recurrent Neural Network Algorithm for Parameter Estimation of Autoregressive Signals. [Citation Graph (, )][DBLP]


  106. A Novel Cooperative Neural Learning Algorithm for Data Fusion. [Citation Graph (, )][DBLP]


  107. Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments. [Citation Graph (, )][DBLP]


  108. A Comparative Study of Clustering Methods for Urban Areas Segmentation from High Resolution Remote Sensing Image. [Citation Graph (, )][DBLP]


  109. A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. [Citation Graph (, )][DBLP]


  110. New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps. [Citation Graph (, )][DBLP]


  111. Learning social networks using multiple resampling method. [Citation Graph (, )][DBLP]


  112. A new design of multiple classifier system and its application to the classification of time series data. [Citation Graph (, )][DBLP]


  113. Fuzzy outlier analysis a combined clustering - outlier detection approach. [Citation Graph (, )][DBLP]


  114. Hard-fuzzy clustering: A cooperative approach. [Citation Graph (, )][DBLP]


  115. Combining feature ranking for text classification. [Citation Graph (, )][DBLP]


  116. Adaptive similarity search in metric trees. [Citation Graph (, )][DBLP]


  117. Aggregation of tiling-based reinforcement learning algorithms. [Citation Graph (, )][DBLP]


  118. Automatic Taxonomy Extraction Using Google and Term Dependency. [Citation Graph (, )][DBLP]


  119. Particle swarm optimization with varying bounds. [Citation Graph (, )][DBLP]


  120. Discrete and continuous particle swarm optimization for FPGA placement. [Citation Graph (, )][DBLP]


  121. A Fuzzy Approach for Analyzing Outliers in Gene Expression Data. [Citation Graph (, )][DBLP]


  122. Towards Better Outliers Detection for Gene Expression Datasets. [Citation Graph (, )][DBLP]


  123. Oppositional target domain estimation using grid-based simulation. [Citation Graph (, )][DBLP]


  124. Discrete cooperative particle swarm optimization for FPGA placement. [Citation Graph (, )][DBLP]


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