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Joydeep Ghosh: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Suju Rajan, Kunal Punera, Joydeep Ghosh
    A Maximum Likelihood Framework for Integrating Taxonomies. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:856-861 [Conf]
  2. Alexander Strehl, Joydeep Ghosh
    Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:93-0 [Conf]
  3. Kuiyu Chang, Joydeep Ghosh
    Probabilistic Principal Surface Classifier. [Citation Graph (0, 0)][DBLP]
    FSKD (2), 2005, pp:1236-1244 [Conf]
  4. Alexander Strehl, Joydeep Ghosh
    A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets. [Citation Graph (0, 0)][DBLP]
    HiPC, 2000, pp:525-536 [Conf]
  5. Vijay K. Garg, Joydeep Ghosh
    Symmetry in Spite of Hierarchy. [Citation Graph (0, 0)][DBLP]
    ICDCS, 1990, pp:4-11 [Conf]
  6. Kunal Punera, Joydeep Ghosh
    CLUMP: A Scalable and Robust Framework for Structure Discovery. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:757-760 [Conf]
  7. Srujana Merugu, Joydeep Ghosh
    Privacy-preserving Distributed Clustering using Generative Models. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:211-218 [Conf]
  8. Gunjan Gupta, Joydeep Ghosh
    Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:232-243 [Conf]
  9. Gunjan Gupta, Alexander Liu, Joydeep Ghosh
    Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:89-93 [Conf]
  10. Kunal Punera, Suju Rajan, Joydeep Ghosh
    Automatic Construction of N-ary Tree Based Taxonomies. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:75-79 [Conf]
  11. Meghana Deodhar, Joydeep Ghosh
    Consensus Clustering for Detection of Overlapping Clusters in Microarray Data. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:104-108 [Conf]
  12. Shishir Shah, J. K. Aggarwal, Jayakrishnan Eledath, Joydeep Ghosh
    Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:199-0 [Conf]
  13. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu
    An information theoretic analysis of maximum likelihood mixture estimation for exponential families. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  14. Kurt D. Bollacker, Joydeep Ghosh
    A Supra-Classifier Architecture for Scalable Knowledge Reuse. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:64-72 [Conf]
  15. Gunjan Gupta, Joydeep Ghosh
    Robust one-class clustering using hybrid global and local search. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:273-280 [Conf]
  16. Kai Hwang, Joydeep Ghosh
    Hypernet Architectures for Parallel Processing. [Citation Graph (0, 0)][DBLP]
    ICPP, 1987, pp:810-819 [Conf]
  17. Kagan Tumer, Joydeep Ghosh
    Sequence Recognition by Input Anticipation. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1994, pp:77-86 [Conf]
  18. Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford
    Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:256-269 [Conf]
  19. A. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa
    The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:47-52 [Conf]
  20. Song Chong, San-qi Li, Joydeep Ghosh
    Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. [Citation Graph (0, 0)][DBLP]
    INFOCOM, 1994, pp:81-90 [Conf]
  21. José N. Amaral, Joydeep Ghosh
    Performance measurements of a concurrent production system architecture without global synchronization. [Citation Graph (0, 0)][DBLP]
    IPPS, 1995, pp:790-797 [Conf]
  22. Jeffrey T. Draper, Joydeep Ghosh
    Multipath E-Cube Algorithms (MECA) for Adaptive Wormhole Routing and Broadcasting in itk-ary itn-Cubes. [Citation Graph (0, 0)][DBLP]
    IPPS, 1992, pp:407-410 [Conf]
  23. Joydeep Ghosh, Bipul Agarwal
    Parallel I/O Subsystems for Distributed-Memory Multicomputers. [Citation Graph (0, 0)][DBLP]
    IPPS, 1991, pp:381-384 [Conf]
  24. Joydeep Ghosh, Kai Hwang
    Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers. [Citation Graph (0, 0)][DBLP]
    ISCA, 1988, pp:3-11 [Conf]
  25. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha
    A generalized maximum entropy approach to bregman co-clustering and matrix approximation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:509-514 [Conf]
  26. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
    Generative model-based clustering of directional data. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:19-28 [Conf]
  27. Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney
    Model-based overlapping clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:532-537 [Conf]
  28. Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh
    Evaluating the novelty of text-mined rules using lexical knowledge. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:233-238 [Conf]
  29. Srujana Merugu, Joydeep Ghosh
    A distributed learning framework for heterogeneous data sources. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:208-217 [Conf]
  30. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
    A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:270-279 [Conf]
  31. Joydeep Ghosh
    Multiclassifier Systems: Back to the Future. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:1-15 [Conf]
  32. Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy Neuenschwander
    Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:189-200 [Conf]
  33. Suju Rajan, Joydeep Ghosh
    An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:283-292 [Conf]
  34. Suju Rajan, Joydeep Ghosh
    Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:417-427 [Conf]
  35. Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
    Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:981-987 [Conf]
  36. Arindam Banerjee, Joydeep Ghosh
    On Scaling Up Balanced Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  37. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
    Clustering with Bregman Divergences. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  38. Shi Zhong, Joydeep Ghosh
    Scalable, Balanced Model-based Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  39. Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh, Brian L. Evans, Alan C. Bovik
    Two-Dimensional Phase Unwrapping Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:274-277 [Conf]
  40. Joydeep Ghosh, Nari Krishnamurthy
    Fault-Tolerant Arbitration in Multichip Crossbar Switches. [Citation Graph (0, 0)][DBLP]
    VLSI Design, 1993, pp:351-356 [Conf]
  41. Joydeep Ghosh, Patrick LaCour, Spence Jackson
    OTA Based Neural Network Architectures with On-Chip Tuning of Synapses. [Citation Graph (0, 0)][DBLP]
    VLSI Design, 1994, pp:71-76 [Conf]
  42. Sreangsu Acharyya, Joydeep Ghosh
    Outlink estimation for pagerank computation under missing data. [Citation Graph (0, 0)][DBLP]
    WWW (Alternate Track Papers & Posters), 2004, pp:486-487 [Conf]
  43. Kunal Punera, Suju Rajan, Joydeep Ghosh
    Automatically learning document taxonomies for hierarchical classification. [Citation Graph (0, 0)][DBLP]
    WWW (Special interest tracks and posters), 2005, pp:1010-1011 [Conf]
  44. Kai Hwang, Joydeep Ghosh, Raymond Chowkwanyun
    Computer Architectures for Artificial Intelligence Processing. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1987, v:20, n:1, pp:19-27 [Journal]
  45. Kagan Tumer, Joydeep Ghosh
    Error Correlation and Error Reduction in Ensemble Classifiers. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1996, v:8, n:3, pp:385-404 [Journal]
  46. Kagan Tumer, Joydeep Ghosh
    Robust Combining of Disparate Classifiers through Order Statistics [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  47. Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
    Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  48. Kagan Tumer, Joydeep Ghosh
    Linear and Order Statistics Combiners for Pattern Classification [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  49. Sajal K. Das, Joydeep Ghosh, Narsingh Deo
    Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 1992, v:37, n:, pp:119-146 [Journal]
  50. Arindam Banerjee, Joydeep Ghosh
    Scalable Clustering Algorithms with Balancing Constraints. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:13, n:3, pp:365-395 [Journal]
  51. Hung-Jen Chang, Joydeep Ghosh, Kadir Liano
    A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1992, v:3, n:2, pp:179-198 [Journal]
  52. Joydeep Ghosh, Yoan Shin
    Efficient Higher-Order Neural Networks for Classification and Function Approximation. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1992, v:3, n:4, pp:323-350 [Journal]
  53. Bryan W. Stiles, Joydeep Ghosh
    Habituation based neural networks for spatio-temporal classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:15, n:3-4, pp:273-307 [Journal]
  54. Joseph T. Morgan, Jisoo Ham, Melba M. Crawford, Alex Henneguelle, Joydeep Ghosh
    Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:5, pp:777-799 [Journal]
  55. Alexander Strehl, Joydeep Ghosh
    Relationship-Based Clustering and Visualization for High-Dimensional Data Mining. [Citation Graph (0, 0)][DBLP]
    INFORMS Journal on Computing, 2003, v:15, n:2, pp:208-230 [Journal]
  56. Alexander Strehl, Joydeep Ghosh
    Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:583-617 [Journal]
  57. Shi Zhong, Joydeep Ghosh
    A Unified Framework for Model-based Clustering. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1001-1037 [Journal]
  58. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra
    Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1345-1382 [Journal]
  59. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh
    Clustering with Bregman Divergences. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1705-1749 [Journal]
  60. Jeffrey T. Draper, Joydeep Ghosh
    A Comprehensive Analytical Model for Wormhole Routng in Multicomputer Systems. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1994, v:23, n:2, pp:202-214 [Journal]
  61. Joydeep Ghosh, Kelvin D. Goveas, Jeffrey T. Draper
    Performance Evaluation of a Parallel I/O Subsystem for Hypercube Multicomputers. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1993, v:17, n:1-2, pp:90-106 [Journal]
  62. Joydeep Ghosh, Kai Hwang
    Mapping Neural Networks onto Message-Passing Multicomputers. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1989, v:6, n:2, pp:291-330 [Journal]
  63. Song Chong, San-qi Li, Joydeep Ghosh
    Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. [Citation Graph (0, 0)][DBLP]
    IEEE Journal on Selected Areas in Communications, 1995, v:13, n:1, pp:12-23 [Journal]
  64. Shi Zhong, Joydeep Ghosh
    Generative model-based document clustering: a comparative study. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2005, v:8, n:3, pp:374-384 [Journal]
  65. Srinivasa V. Chakravarthy, Joydeep Ghosh
    Function Emulation Using Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:459-478 [Journal]
  66. Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
    Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:210-220 [Journal]
  67. Kagan Tumer, Joydeep Ghosh
    Robust Combining of Disparate Classifiers through Order Statistics. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:189-200 [Journal]
  68. Kuiyu Chang, Joydeep Ghosh
    A Unified Model for Probabilistic Principal Surfaces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:1, pp:22-41 [Journal]
  69. Jeffrey T. Draper, Joydeep Ghosh
    The M-Cache: A Message-Handling Mechanism for Multicomputer Systems. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1994, v:20, n:9, pp:1269-1288 [Journal]
  70. Kagan Tumer, Joydeep Ghosh
    Analysis of decision boundaries in linearly combined neural classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:2, pp:341-348 [Journal]
  71. Kurt D. Bollacker, Joydeep Ghosh
    Knowledge reuse in multiple classifier systems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1385-1390 [Journal]
  72. Kurt D. Bollacker, Joydeep Ghosh
    Effective supra-classifiers for knowledge base construction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1347-1352 [Journal]
  73. Srujana Merugu, Joydeep Ghosh
    A privacy-sensitive approach to distributed clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:4, pp:399-410 [Journal]
  74. Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic
    Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:2, n:2, pp:108-109 [Journal]
  75. Kai Hwang, Joydeep Ghosh
    Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1987, v:36, n:12, pp:1450-1466 [Journal]
  76. Ismail A. Taha, Joydeep Ghosh
    Symbolic Interpretation of Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1999, v:11, n:3, pp:448-463 [Journal]
  77. José N. Amaral, Joydeep Ghosh
    A Concurrent Architecture for Serializable Production Systems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1996, v:7, n:12, pp:1265-1280 [Journal]
  78. Vijay K. Garg, Joydeep Ghosh
    Repeated Computation of Global Functions in a Distributed Environment. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1994, v:5, n:8, pp:823-834 [Journal]
  79. Joydeep Ghosh, Sajal K. Das, Ajita John
    Concurrent Processing of Linearly Ordered Data Structures on Hypercube Multicomputers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Parallel Distrib. Syst., 1994, v:5, n:9, pp:898-911 [Journal]
  80. Wassim S. Chaer, Robert H. Bishop, Joydeep Ghosh
    A mixture-of-experts framework for adaptive Kalman filtering. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:3, pp:452-464 [Journal]
  81. Turker Kuyel, Wilson S. Geisler, Joydeep Ghosh
    Fast image classification using a sequence of visual fixations. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:2, pp:304-308 [Journal]
  82. T. Kyuel, Wilson S. Geisler, Joydeep Ghosh
    Retinally reconstructed images: digital images having a resolution match with the human eye. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1999, v:29, n:2, pp:235-243 [Journal]
  83. Meghana Deodhar, Joydeep Ghosh
    Simultaneous Co-clustering and Modeling of Market Data. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining - Posters and Workshops, 2007, pp:73-82 [Conf]
  84. Meghana Deodhar, Joydeep Ghosh
    A framework for simultaneous co-clustering and learning from complex data. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:250-259 [Conf]
  85. Yangchi Chen, Melba M. Crawford, Joydeep Ghosh
    Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:316-322 [Conf]

  86. Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. [Citation Graph (, )][DBLP]


  87. A spam resistant family of concavo-convex ranks for link analysis. [Citation Graph (, )][DBLP]


  88. Generative Oversampling for Mining Imbalanced Datasets. [Citation Graph (, )][DBLP]


  89. Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. [Citation Graph (, )][DBLP]


  90. Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data. [Citation Graph (, )][DBLP]


  91. Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. [Citation Graph (, )][DBLP]


  92. A scalable framework for discovering coherent co-clusters in noisy data. [Citation Graph (, )][DBLP]


  93. Probabilistic frameworks for privacy-aware data mining. [Citation Graph (, )][DBLP]


  94. A Text Retrieval Approach to Content-Based Audio Hashing. [Citation Graph (, )][DBLP]


  95. Mining for the most certain predictions from dyadic data. [Citation Graph (, )][DBLP]


  96. Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. [Citation Graph (, )][DBLP]


  97. Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis. [Citation Graph (, )][DBLP]


  98. Multi-class Boosting with Class Hierarchies. [Citation Graph (, )][DBLP]


  99. Consensus Based Ensembles of Soft Clusterings. [Citation Graph (, )][DBLP]


  100. A Self-training Approach to Cost Sensitive Uncertainty Sampling. [Citation Graph (, )][DBLP]


  101. Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation. [Citation Graph (, )][DBLP]


  102. Spatially Cost-Sensitive Active Learning. [Citation Graph (, )][DBLP]


  103. The M-cache: a message-retrieving mechanism for multicomputer systems. [Citation Graph (, )][DBLP]


  104. Enhanced hierarchical classification via isotonic smoothing. [Citation Graph (, )][DBLP]


  105. A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates. [Citation Graph (, )][DBLP]


  106. Parallel Simultaneous Co-clustering and Learning with Map-Reduce. [Citation Graph (, )][DBLP]


  107. Consensus-Based Ensembles of Soft Clusterings. [Citation Graph (, )][DBLP]


  108. On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. [Citation Graph (, )][DBLP]


  109. A complex-valued associative memory for storing patterns as oscillatory states. [Citation Graph (, )][DBLP]


  110. Pattern association and retrieval in a continuous neural system. [Citation Graph (, )][DBLP]


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