| 2008 |
| 98 | EE | Sreangsu Acharyya,
Joydeep Ghosh:
A spam resistant family of concavo-convex ranks for link analysis.
CIKM 2008: 1505-1506 |
| 97 | EE | Meghana Deodhar,
Joydeep Ghosh,
Gunjan Gupta,
Hyuk Cho,
Inderjit S. Dhillon:
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.
ICDM Workshops 2008: 654-663 |
| 96 | EE | Meghana Deodhar,
Joydeep Ghosh:
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data.
ICDM Workshops 2008: 806-815 |
| 95 | EE | Joydeep Ghosh:
Probabilistic frameworks for privacy-aware data mining.
ISI 2008 |
| 94 | EE | Kunal Punera,
Joydeep Ghosh:
Enhanced hierarchical classification via isotonic smoothing.
WWW 2008: 151-160 |
| 93 | EE | Kunal Punera,
Joydeep Ghosh:
Consensus-Based Ensembles of Soft Clusterings.
Applied Artificial Intelligence 22(7&8): 780-810 (2008) |
| 92 | EE | Xindong Wu,
Vipin Kumar,
J. Ross Quinlan,
Joydeep Ghosh,
Qiang Yang,
Hiroshi Motoda,
Geoffrey J. McLachlan,
Angus F. M. Ng,
Bing Liu,
Philip S. Yu,
Zhi-Hua Zhou,
Michael Steinbach,
David J. Hand,
Dan Steinberg:
Top 10 algorithms in data mining.
Knowl. Inf. Syst. 14(1): 1-37 (2008) |
| 91 | EE | Gunjan Gupta,
Joydeep Ghosh:
Bregman bubble clustering: A robust framework for mining dense clusters.
TKDD 2(2): (2008) |
| 2007 |
| 90 | EE | Chase Krumpelman,
Joydeep Ghosh:
Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data.
CIBCB 2007: 121-126 |
| 89 | EE | Yangchi Chen,
Melba M. Crawford,
Joydeep Ghosh:
Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification.
CIDM 2007: 316-322 |
| 88 | | Alexander Liu,
Joydeep Ghosh,
Cheryl Martin:
Generative Oversampling for Mining Imbalanced Datasets.
DMIN 2007: 66-72 |
| 87 | | Meghana Deodhar,
Joydeep Ghosh:
Simultaneous Co-clustering and Modeling of Market Data.
Industrial Conference on Data Mining - Posters and Workshops 2007: 73-82 |
| 86 | EE | Meghana Deodhar,
Joydeep Ghosh:
A framework for simultaneous co-clustering and learning from complex data.
KDD 2007: 250-259 |
| 85 | | Kunal Punera,
Joydeep Ghosh:
Consensus Based Ensembles of Soft Clusterings.
MLMTA 2007: 3-9 |
| 2006 |
| 84 | | Joydeep Ghosh,
Diane Lambert,
David B. Skillicorn,
Jaideep Srivastava:
Proceedings of the Sixth SIAM International Conference on Data Mining, April 20-22, 2006, Bethesda, MD, USA
SIAM 2006 |
| 83 | EE | Gunjan Gupta,
Joydeep Ghosh:
Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data.
ICDM 2006: 232-243 |
| 82 | EE | Meghana Deodhar,
Joydeep Ghosh:
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data.
ICDM Workshops 2006: 104-108 |
| 81 | EE | Kunal Punera,
Suju Rajan,
Joydeep Ghosh:
Automatic Construction of N-ary Tree Based Taxonomies.
ICDM Workshops 2006: 75-79 |
| 80 | EE | Gunjan Gupta,
Alexander Liu,
Joydeep Ghosh:
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets.
ICDM Workshops 2006: 89-93 |
| 79 | EE | Arindam Banerjee,
Joydeep Ghosh:
Scalable Clustering Algorithms with Balancing Constraints.
Data Min. Knowl. Discov. 13(3): 365-395 (2006) |
| 2005 |
| 78 | | Suju Rajan,
Kunal Punera,
Joydeep Ghosh:
A Maximum Likelihood Framework for Integrating Taxonomies.
AAAI 2005: 856-861 |
| 77 | EE | Kuiyu Chang,
Joydeep Ghosh:
Probabilistic Principal Surface Classifier.
FSKD (2) 2005: 1236-1244 |
| 76 | EE | Kunal Punera,
Joydeep Ghosh:
CLUMP: A Scalable and Robust Framework for Structure Discovery.
ICDM 2005: 757-760 |
| 75 | EE | Gunjan Gupta,
Joydeep Ghosh:
Robust one-class clustering using hybrid global and local search.
ICML 2005: 273-280 |
| 74 | EE | Srujana Merugu,
Joydeep Ghosh:
A distributed learning framework for heterogeneous data sources.
KDD 2005: 208-217 |
| 73 | EE | Arindam Banerjee,
Chase Krumpelman,
Joydeep Ghosh,
Sugato Basu,
Raymond J. Mooney:
Model-based overlapping clustering.
KDD 2005: 532-537 |
| 72 | EE | Suju Rajan,
Joydeep Ghosh:
Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data.
Multiple Classifier Systems 2005: 417-427 |
| 71 | EE | Yue Luo,
Ajay Joshi,
Aashish Phansalkar,
Lizy Kurian John,
Joydeep Ghosh:
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation.
SBAC-PAD 2005: 193-200 |
| 70 | EE | Kunal Punera,
Suju Rajan,
Joydeep Ghosh:
Automatically learning document taxonomies for hierarchical classification.
WWW (Special interest tracks and posters) 2005: 1010-1011 |
| 69 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
Journal of Machine Learning Research 6: 1345-1382 (2005) |
| 68 | EE | Arindam Banerjee,
Srujana Merugu,
Inderjit S. Dhillon,
Joydeep Ghosh:
Clustering with Bregman Divergences.
Journal of Machine Learning Research 6: 1705-1749 (2005) |
| 67 | EE | Shi Zhong,
Joydeep Ghosh:
Generative model-based document clustering: a comparative study.
Knowl. Inf. Syst. 8(3): 374-384 (2005) |
| 66 | EE | Srujana Merugu,
Joydeep Ghosh:
A privacy-sensitive approach to distributed clustering.
Pattern Recognition Letters 26(4): 399-410 (2005) |
| 2004 |
| 65 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Srujana Merugu:
An information theoretic analysis of maximum likelihood mixture estimation for exponential families.
ICML 2004 |
| 64 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Srujana Merugu,
Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation.
KDD 2004: 509-514 |
| 63 | EE | Suju Rajan,
Joydeep Ghosh:
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems.
Multiple Classifier Systems 2004: 283-292 |
| 62 | EE | Arindam Banerjee,
Srujana Merugu,
Inderjit S. Dhillon,
Joydeep Ghosh:
Clustering with Bregman Divergences.
SDM 2004 |
| 61 | EE | Sreangsu Acharyya,
Joydeep Ghosh:
Outlink estimation for pagerank computation under missing data.
WWW (Alternate Track Papers & Posters) 2004: 486-487 |
| 60 | EE | Joseph T. Morgan,
Jisoo Ham,
Melba M. Crawford,
Alex Henneguelle,
Joydeep Ghosh:
Adaptive Feature Spaces For Land Cover Classification With Limited Ground Truth Data.
IJPRAI 18(5): 777-799 (2004) |
| 2003 |
| 59 | EE | Srujana Merugu,
Joydeep Ghosh:
Privacy-preserving Distributed Clustering using Generative Models.
ICDM 2003: 211-218 |
| 58 | | Alex Henneguelle,
Joydeep Ghosh,
Melba M. Crawford:
Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data.
IICAI 2003: 256-269 |
| 57 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Generative model-based clustering of directional data.
KDD 2003: 19-28 |
| 56 | EE | Shi Zhong,
Joydeep Ghosh:
Scalable, Balanced Model-based Clustering.
SDM 2003 |
| 55 | EE | Alexander Strehl,
Joydeep Ghosh:
Relationship-Based Clustering and Visualization for High-Dimensional Data Mining.
INFORMS Journal on Computing 15(2): 208-230 (2003) |
| 54 | EE | Shi Zhong,
Joydeep Ghosh:
A Unified Framework for Model-based Clustering.
Journal of Machine Learning Research 4: 1001-1037 (2003) |
| 2002 |
| 53 | | Alexander Strehl,
Joydeep Ghosh:
Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings.
AAAI/IAAI 2002: 93- |
| 52 | EE | Joydeep Ghosh:
Multiclassifier Systems: Back to the Future.
Multiple Classifier Systems 2002: 1-15 |
| 51 | EE | Joseph T. Morgan,
Alex Henneguelle,
Melba M. Crawford,
Joydeep Ghosh,
Amy Neuenschwander:
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data.
Multiple Classifier Systems 2002: 189-200 |
| 50 | EE | Arindam Banerjee,
Joydeep Ghosh:
On Scaling Up Balanced Clustering Algorithms.
SDM 2002 |
| 49 | EE | Alexander Strehl,
Joydeep Ghosh:
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions.
Journal of Machine Learning Research 3: 583-617 (2002) |
| 48 | EE | Kagan Tumer,
Joydeep Ghosh:
Robust Combining of Disparate Classifiers through Order Statistics.
Pattern Anal. Appl. 5(2): 189-200 (2002) |
| 47 | EE | Shailesh Kumar,
Joydeep Ghosh,
Melba M. Crawford:
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis.
Pattern Anal. Appl. 5(2): 210-220 (2002) |
| 2001 |
| 46 | EE | Sugato Basu,
Raymond J. Mooney,
Krupakar V. Pasupuleti,
Joydeep Ghosh:
Evaluating the novelty of text-mined rules using lexical knowledge.
KDD 2001: 233-238 |
| 45 | EE | Kuiyu Chang,
Joydeep Ghosh:
A Unified Model for Probabilistic Principal Surfaces.
IEEE Trans. Pattern Anal. Mach. Intell. 23(1): 22-41 (2001) |
| 2000 |
| 44 | EE | Alexander Strehl,
Joydeep Ghosh:
A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets.
HiPC 2000: 525-536 |
| 43 | EE | 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.
IJCNN (3) 2000: 47-52 |
| 42 | EE | Shailesh Kumar,
Joydeep Ghosh,
Melba M. Crawford:
A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.
Multiple Classifier Systems 2000: 270-279 |
| 41 | EE | Wade Schwartzkopf,
Thomas E. Milner,
Joydeep Ghosh,
Brian L. Evans,
Alan C. Bovik:
Two-Dimensional Phase Unwrapping Using Neural Networks.
SSIAI 2000: 274-277 |
| 40 | EE | Hillol Kargupta,
Joydeep Ghosh,
Vipin Kumar,
Zoran Obradovic:
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000.
SIGKDD Explorations 2(2): 108-109 (2000) |
| 1999 |
| 39 | EE | Kagan Tumer,
Joydeep Ghosh:
Robust Combining of Disparate Classifiers through Order Statistics
CoRR cs.LG/9905013: (1999) |
| 38 | EE | Kagan Tumer,
Nirmala Ramanujam,
Joydeep Ghosh,
Rebecca R. Richards-Kortum:
Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer
CoRR cs.NE/9905011: (1999) |
| 37 | EE | Kagan Tumer,
Joydeep Ghosh:
Linear and Order Statistics Combiners for Pattern Classification
CoRR cs.NE/9905012: (1999) |
| 36 | EE | Ismail A. Taha,
Joydeep Ghosh:
Symbolic Interpretation of Artificial Neural Networks.
IEEE Trans. Knowl. Data Eng. 11(3): 448-463 (1999) |
| 35 | | T. Kyuel,
Wilson S. Geisler,
Joydeep Ghosh:
Retinally reconstructed images: digital images having a resolution match with the human eye.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(2): 235-243 (1999) |
| 34 | | Turker Kuyel,
Wilson S. Geisler,
Joydeep Ghosh:
Fast image classification using a sequence of visual fixations.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(2): 304-308 (1999) |
| 33 | EE | Kurt D. Bollacker,
Joydeep Ghosh:
Effective supra-classifiers for knowledge base construction.
Pattern Recognition Letters 20(11-13): 1347-1352 (1999) |
| 1998 |
| 32 | | Kurt D. Bollacker,
Joydeep Ghosh:
A Supra-Classifier Architecture for Scalable Knowledge Reuse.
ICML 1998: 64-72 |
| 1997 |
| 31 | EE | Shishir Shah,
J. K. Aggarwal,
Jayakrishnan Eledath,
Joydeep Ghosh:
Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection.
ICIP (2) 1997: 199- |
| 30 | | Wassim S. Chaer,
Robert H. Bishop,
Joydeep Ghosh:
A mixture-of-experts framework for adaptive Kalman filtering.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(3): 452-464 (1997) |
| 29 | EE | Srinivasa V. Chakravarthy,
Joydeep Ghosh:
Function Emulation Using Radial Basis Function Networks.
Neural Networks 10(3): 459-478 (1997) |
| 28 | EE | Bryan W. Stiles,
Joydeep Ghosh:
Habituation based neural networks for spatio-temporal classification.
Neurocomputing 15(3-4): 273-307 (1997) |
| 27 | EE | Kurt D. Bollacker,
Joydeep Ghosh:
Knowledge reuse in multiple classifier systems.
Pattern Recognition Letters 18(11-13): 1385-1390 (1997) |
| 1996 |
| 26 | EE | Kagan Tumer,
Nirmala Ramanujam,
Rebecca R. Richards-Kortum,
Joydeep Ghosh:
Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks.
NIPS 1996: 981-987 |
| 25 | EE | Kagan Tumer,
Joydeep Ghosh:
Error Correlation and Error Reduction in Ensemble Classifiers.
Connect. Sci. 8(3): 385-404 (1996) |
| 24 | EE | José N. Amaral,
Joydeep Ghosh:
A Concurrent Architecture for Serializable Production Systems.
IEEE Trans. Parallel Distrib. Syst. 7(12): 1265-1280 (1996) |
| 23 | EE | Kagan Tumer,
Joydeep Ghosh:
Analysis of decision boundaries in linearly combined neural classifiers.
Pattern Recognition 29(2): 341-348 (1996) |
| 1995 |
| 22 | EE | José N. Amaral,
Joydeep Ghosh:
Performance measurements of a concurrent production system architecture without global synchronization.
IPPS 1995: 790-797 |
| 21 | | Song Chong,
San-qi Li,
Joydeep Ghosh:
Predictive Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM.
IEEE Journal on Selected Areas in Communications 13(1): 12-23 (1995) |
| 1994 |
| 20 | EE | Kagan Tumer,
Joydeep Ghosh:
Sequence Recognition by Input Anticipation.
IEA/AIE 1994: 77-86 |
| 19 | | Song Chong,
San-qi Li,
Joydeep Ghosh:
Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM.
INFOCOM 1994: 81-90 |
| 18 | | Joydeep Ghosh,
Patrick LaCour,
Spence Jackson:
OTA Based Neural Network Architectures with On-Chip Tuning of Synapses.
VLSI Design 1994: 71-76 |
| 17 | EE | Vijay K. Garg,
Joydeep Ghosh:
Repeated Computation of Global Functions in a Distributed Environment.
IEEE Trans. Parallel Distrib. Syst. 5(8): 823-834 (1994) |
| 16 | EE | Joydeep Ghosh,
Sajal K. Das,
Ajita John:
Concurrent Processing of Linearly Ordered Data Structures on Hypercube Multicomputers.
IEEE Trans. Parallel Distrib. Syst. 5(9): 898-911 (1994) |
| 15 | | Jeffrey T. Draper,
Joydeep Ghosh:
A Comprehensive Analytical Model for Wormhole Routng in Multicomputer Systems.
J. Parallel Distrib. Comput. 23(2): 202-214 (1994) |
| 14 | | Jeffrey T. Draper,
Joydeep Ghosh:
The M-Cache: A Message-Handling Mechanism for Multicomputer Systems.
Parallel Computing 20(9): 1269-1288 (1994) |
| 1993 |
| 13 | | Joydeep Ghosh,
Nari Krishnamurthy:
Fault-Tolerant Arbitration in Multichip Crossbar Switches.
VLSI Design 1993: 351-356 |
| 12 | | Joydeep Ghosh,
Kelvin D. Goveas,
Jeffrey T. Draper:
Performance Evaluation of a Parallel I/O Subsystem for Hypercube Multicomputers.
J. Parallel Distrib. Comput. 17(1-2): 90-106 (1993) |
| 1992 |
| 11 | | Jeffrey T. Draper,
Joydeep Ghosh:
Multipath E-Cube Algorithms (MECA) for Adaptive Wormhole Routing and Broadcasting in itk-ary itn-Cubes.
IPPS 1992: 407-410 |
| 10 | EE | Sajal K. Das,
Joydeep Ghosh,
Narsingh Deo:
Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems.
Discrete Applied Mathematics 37/38: 119-146 (1992) |
| 9 | EE | Hung-Jen Chang,
Joydeep Ghosh,
Kadir Liano:
A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly.
Int. J. Neural Syst. 3(2): 179-198 (1992) |
| 8 | EE | Joydeep Ghosh,
Yoan Shin:
Efficient Higher-Order Neural Networks for Classification and Function Approximation.
Int. J. Neural Syst. 3(4): 323-350 (1992) |
| 1991 |
| 7 | | Joydeep Ghosh,
Bipul Agarwal:
Parallel I/O Subsystems for Distributed-Memory Multicomputers.
IPPS 1991: 381-384 |
| 1990 |
| 6 | | Vijay K. Garg,
Joydeep Ghosh:
Symmetry in Spite of Hierarchy.
ICDCS 1990: 4-11 |
| 1989 |
| 5 | | Joydeep Ghosh,
Kai Hwang:
Mapping Neural Networks onto Message-Passing Multicomputers.
J. Parallel Distrib. Comput. 6(2): 291-330 (1989) |
| 1988 |
| 4 | | Joydeep Ghosh,
Kai Hwang:
Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers.
ISCA 1988: 3-11 |
| 1987 |
| 3 | | Kai Hwang,
Joydeep Ghosh:
Hypernet Architectures for Parallel Processing.
ICPP 1987: 810-819 |
| 2 | | Kai Hwang,
Joydeep Ghosh,
Raymond Chowkwanyun:
Computer Architectures for Artificial Intelligence Processing.
IEEE Computer 20(1): 19-27 (1987) |
| 1 | | Kai Hwang,
Joydeep Ghosh:
Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers.
IEEE Trans. Computers 36(12): 1450-1466 (1987) |