Joydeep Ghosh

	2012
151		Duo Ding, Bei Yu, Joydeep Ghosh, David Z. Pan: EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation. ASP-DAC 2012: 263-270
150		Yubin Park, Joydeep Ghosh: A probabilistic imputation framework for predictive analysis using variably aggregated, multi-source healthcare data. IHI 2012: 445-454
149		Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh: A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles CoRR abs/1204.4521: (2012)
148		Anish Mittal, Gautam S. Muralidhar, Joydeep Ghosh, Alan C. Bovik: Blind Image Quality Assessment Without Human Training Using Latent Quality Factors. IEEE Signal Process. Lett. 19(2): 75-78 (2012)
	2011
147		Chid Apté, Joydeep Ghosh, Padhraic Smyth: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 ACM 2011
146		Dean Teffer, Amanda Hutton, Joydeep Ghosh: Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures. ICDM Workshops 2011: 196-203
145		Aayush Sharma, Meghana Deodhar, Joydeep Ghosh: Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models. Industrial Conference on Data Mining - Workshops 2011: 103-112
144		Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya: C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS 2011: 269-278
143		Yubin Park, Joydeep Ghosh: Compact Ensemble Trees for Imbalanced Data. MCS 2011: 86-95
142		Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh: A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. SocialCom/PASSAT 2011: 1169-1172
141		Goo Jun, Joydeep Ghosh: Spatially Adaptive Classification of Land Cover With Remote Sensing Data. IEEE T. Geoscience and Remote Sensing 49(7): 2662-2673 (2011)
140		Goo Jun, Joydeep Ghosh: Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis. Statistical Analysis and Data Mining 4(4): 358-371 (2011)
139		Joydeep Ghosh, Ayan Acharya: Cluster ensembles. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(4): 305-315 (2011)
	2010
138		Goo Jun, Joydeep Ghosh: Spatially Adaptive Semi-supervised Learning with Gaussian Processes for Hyperspectral Data Analysis. CIDU 2010: 27-38
137		Meghana Deodhar, Joydeep Ghosh: A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates. GrC 2010: 143-148
136		Meghana Deodhar, Clinton Jones, Joydeep Ghosh: Parallel Simultaneous Co-clustering and Learning with Map-Reduce. GrC 2010: 149-154
135		Srivatsava Daruru, Sankari Dhandapani, Gunjan Gupta, Ilian Iliev, Weijia Xu, Paul Navratil, Nena M. Marin, Joydeep Ghosh: Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. ICDM Workshops 2010: 138-147
134		Goo Jun, Joydeep Ghosh: Nearest-Manifold Classification with Gaussian Processes. ICPR 2010: 914-917
133		Joydeep Ghosh: Actionable Mining of Large, Multi-relational Data using Localized Predictive Models. KDIR 2010: 09-010
132		Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic: Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. KDIR 2010: 370-375
131		Alexander Liu, Cheryl E. Martin, Brian La Cour, Joydeep Ghosh: Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers. Data Mining 2010: 159-192
130		Gunjan Gupta, Alexander Liu, Joydeep Ghosh: Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets. IEEE/ACM Trans. Comput. Biology Bioinform. 7(2): 223-237 (2010)
129		Meghana Deodhar, Joydeep Ghosh: SCOAL: A framework for simultaneous co-clustering and learning from complex data. TKDD 4(3): (2010)
	2009
128		Alexander Liu, Goo Jun, Joydeep Ghosh: A Self-training Approach to Cost Sensitive Uncertainty Sampling. ECML/PKDD (1) 2009: 10
127		Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh: Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. ICDM Workshops 2009: 597-603
126		Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon: A scalable framework for discovering coherent co-clusters in noisy data. ICML 2009: 31
125		Goo Jun, Joydeep Ghosh: Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes. IGARSS (2) 2009: 290-293
124		Alexander Liu, Goo Jun, Joydeep Ghosh: Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. IGARSS (5) 2009: 256-259
123		Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh: Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. KDD 2009: 1115-1124
122		Meghana Deodhar, Joydeep Ghosh: Mining for the most certain predictions from dyadic data. KDD 2009: 249-258
121		Goo Jun, Joydeep Ghosh: Multi-class Boosting with Class Hierarchies. MCS 2009: 32-41
120		Goo Jun, Joydeep Ghosh: Hybrid Hierarchical Classifiers for Hyperspectral Data Analysis. MCS 2009: 42-51
119		Alexander Liu, Goo Jun, Joydeep Ghosh: Spatially Cost-Sensitive Active Learning. SDM 2009: 814-825
118		Alexander Liu, Goo Jun, Joydeep Ghosh: A self-training approach to cost sensitive uncertainty sampling. Machine Learning 76(2-3): 257-270 (2009)
	2008
117		Sreangsu Acharyya, Joydeep Ghosh: A spam resistant family of concavo-convex ranks for link analysis. CIKM 2008: 1505-1506
116		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
115		Meghana Deodhar, Joydeep Ghosh: Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data. ICDM Workshops 2008: 806-815
114		Wonkook Kim, Melba M. Crawford, Joydeep Ghosh: Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. IGARSS (1) 2008: 213-216
113		Goo Jun, Joydeep Ghosh: An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis. IGARSS (1) 2008: 52-55
112		Joydeep Ghosh: Probabilistic frameworks for privacy-aware data mining. ISI 2008
111		Matthew Riley, Eric Heinen, Joydeep Ghosh: A Text Retrieval Approach to Content-Based Audio Hashing. ISMIR 2008: 295-300
110		Kunal Punera, Joydeep Ghosh: Enhanced hierarchical classification via isotonic smoothing. WWW 2008: 151-160
109		Kunal Punera, Joydeep Ghosh: Consensus-Based Ensembles of Soft Clusterings. Applied Artificial Intelligence 22(7&8): 780-810 (2008)
108		Suju Rajan, Joydeep Ghosh, Melba M. Crawford: An Active Learning Approach to Hyperspectral Data Classification. IEEE T. Geoscience and Remote Sensing 46(4): 1231-1242 (2008)
107		Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh: Analysing and improving clustering based sampling for microprocessor simulation. IJHPCN 5(4): 200-214 (2008)
106		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)
105		Gunjan Gupta, Joydeep Ghosh: Bregman bubble clustering: A robust framework for mining dense clusters. TKDD 2(2): (2008)
	2007
104		Chase Krumpelman, Joydeep Ghosh: Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. CIBCB 2007: 121-126
103		Yangchi Chen, Melba M. Crawford, Joydeep Ghosh: Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. CIDM 2007: 316-322
102		Alexander Liu, Joydeep Ghosh, Cheryl E. Martin: Generative Oversampling for Mining Imbalanced Datasets. DMIN 2007: 66-72
101		Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh: Multiresolution manifold learning for classification of hyperspectral data. IGARSS 2007: 3785-3788
100		Meghana Deodhar, Joydeep Ghosh: Simultaneous Co-clustering and Modeling of Market Data. Industrial Conference on Data Mining - Posters and Workshops 2007: 73-82
99		Meghana Deodhar, Joydeep Ghosh: A framework for simultaneous co-clustering and learning from complex data. KDD 2007: 250-259
98		Kunal Punera, Joydeep Ghosh: Consensus Based Ensembles of Soft Clusterings. MLMTA 2007: 3-9
97		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha: A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. Journal of Machine Learning Research 8: 1919-1986 (2007)
	2006
96		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
95		Gunjan Gupta, Joydeep Ghosh: Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. ICDM 2006: 232-243
94		Meghana Deodhar, Joydeep Ghosh: Consensus Clustering for Detection of Overlapping Clusters in Microarray Data. ICDM Workshops 2006: 104-108
93		Kunal Punera, Suju Rajan, Joydeep Ghosh: Automatic Construction of N-ary Tree Based Taxonomies. ICDM Workshops 2006: 75-79
92		Gunjan Gupta, Alexander Liu, Joydeep Ghosh: Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. ICDM Workshops 2006: 89-93
91		S. Raj, Joydeep Ghosh, Melba M. Crawford: An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. IGARSS 2006: 541-544
90		Yangchi Chen, Melba M. Crawford, Joydeep Ghosh: Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. IGARSS 2006: 545-548
89		Arindam Banerjee, Joydeep Ghosh: Scalable Clustering Algorithms with Balancing Constraints. Data Min. Knowl. Discov. 13(3): 365-395 (2006)
88		Suju Rajan, Joydeep Ghosh, Melba M. Crawford: Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. IEEE T. Geoscience and Remote Sensing 44(11-2): 3408-3417 (2006)
	2005
87		Suju Rajan, Kunal Punera, Joydeep Ghosh: A Maximum Likelihood Framework for Integrating Taxonomies. AAAI 2005: 856-861
86		Kuiyu Chang, Joydeep Ghosh: Probabilistic Principal Surface Classifier. FSKD (2) 2005: 1236-1244
85		Kunal Punera, Joydeep Ghosh: CLUMP: A Scalable and Robust Framework for Structure Discovery. ICDM 2005: 757-760
84		Gunjan Gupta, Joydeep Ghosh: Robust one-class clustering using hybrid global and local search. ICML 2005: 273-280
83		Srujana Merugu, Joydeep Ghosh: A distributed learning framework for heterogeneous data sources. KDD 2005: 208-217
82		Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney: Model-based overlapping clustering. KDD 2005: 532-537
81		Suju Rajan, Joydeep Ghosh: Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data. Multiple Classifier Systems 2005: 417-427
80		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
79		Kunal Punera, Suju Rajan, Joydeep Ghosh: Automatically learning document taxonomies for hierarchical classification. WWW (Special interest tracks and posters) 2005: 1010-1011
78		Jisoo Ham, Yangchi Chen, Melba M. Crawford, Joydeep Ghosh: Investigation of the random forest framework for classification of hyperspectral data. IEEE T. Geoscience and Remote Sensing 43(3): 492-501 (2005)
77		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)
76		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. Journal of Machine Learning Research 6: 1705-1749 (2005)
75		Shi Zhong, Joydeep Ghosh: Generative model-based document clustering: a comparative study. Knowl. Inf. Syst. 8(3): 374-384 (2005)
74		Srujana Merugu, Joydeep Ghosh: A privacy-sensitive approach to distributed clustering. Pattern Recognition Letters 26(4): 399-410 (2005)
	2004
73		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu: An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML 2004
72		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
71		Suju Rajan, Joydeep Ghosh: An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems. Multiple Classifier Systems 2004: 283-292
70		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. SDM 2004
69		Sreangsu Acharyya, Joydeep Ghosh: Outlink estimation for pagerank computation under missing data. WWW (Alternate Track Papers & Posters) 2004: 486-487
68		Arindam Banerjee, Joydeep Ghosh: Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. IEEE Transactions on Neural Networks 15(3): 702-719 (2004)
67		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
66		Srujana Merugu, Joydeep Ghosh: Privacy-preserving Distributed Clustering using Generative Models. ICDM 2003: 211-218
65		Alex Henneguelle, Joydeep Ghosh, Melba M. Crawford: Polyline Feature Extraction for Land Cover Classification using Hyperspectral Data. IICAI 2003: 256-269
64		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra: Generative model-based clustering of directional data. KDD 2003: 19-28
63		Shi Zhong, Joydeep Ghosh: Scalable, Balanced Model-based Clustering. SDM 2003
62		Alexander Strehl, Joydeep Ghosh: Relationship-Based Clustering and Visualization for High-Dimensional Data Mining. INFORMS Journal on Computing 15(2): 208-230 (2003)
61		Shi Zhong, Joydeep Ghosh: A Unified Framework for Model-based Clustering. Journal of Machine Learning Research 4: 1001-1037 (2003)
	2002
60		Alexander Strehl, Joydeep Ghosh: Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings. AAAI/IAAI 2002: 93-
59		Joydeep Ghosh: Multiclassifier Systems: Back to the Future. Multiple Classifier Systems 2002: 1-15
58		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
57		Arindam Banerjee, Joydeep Ghosh: On Scaling Up Balanced Clustering Algorithms. SDM 2002
56		Alexander Strehl, Joydeep Ghosh: Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions. Journal of Machine Learning Research 3: 583-617 (2002)
55		Kagan Tumer, Joydeep Ghosh: Robust Combining of Disparate Classifiers through Order Statistics. Pattern Anal. Appl. 5(2): 189-200 (2002)
54		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
53		Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh: Evaluating the novelty of text-mined rules using lexical knowledge. KDD 2001: 233-238
52		Kuiyu Chang, Joydeep Ghosh: A Unified Model for Probabilistic Principal Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 23(1): 22-41 (2001)
	2000
51		Alexander Strehl, Joydeep Ghosh: A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets. HiPC 2000: 525-536
50		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
49		Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford: A Hierarchical Multiclassifier System for Hyperspectral Data Analysis. Multiple Classifier Systems 2000: 270-279
48		Wade Schwartzkopf, Thomas E. Milner, Joydeep Ghosh, Brian L. Evans, Alan C. Bovik: Two-Dimensional Phase Unwrapping Using Neural Networks. SSIAI 2000: 274-277
47		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
46		Kagan Tumer, Joydeep Ghosh: Robust Combining of Disparate Classifiers through Order Statistics CoRR cs.LG/9905013: (1999)
45		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)
44		Kagan Tumer, Joydeep Ghosh: Linear and Order Statistics Combiners for Pattern Classification CoRR cs.NE/9905012: (1999)
43		Ismail A. Taha, Joydeep Ghosh: Symbolic Interpretation of Artificial Neural Networks. IEEE Trans. Knowl. Data Eng. 11(3): 448-463 (1999)
42		Viswanath Ramamurti, Joydeep Ghosh: Structurally adaptive modular networks for nonstationary environments. IEEE Transactions on Neural Networks 10(1): 152-160 (1999)
41		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)
40		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)
39		Kurt D. Bollacker, Joydeep Ghosh: Effective supra-classifiers for knowledge base construction. Pattern Recognition Letters 20(11-13): 1347-1352 (1999)
	1998
38		Kurt D. Bollacker, Joydeep Ghosh: A Supra-Classifier Architecture for Scalable Knowledge Reuse. ICML 1998: 64-72
	1997
37		Shishir Shah, J. K. Aggarwal, Jayakrishnan Eledath, Joydeep Ghosh: Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection. ICIP (2) 1997: 199-
36		Srinivasa V. Chakravarthy, Joydeep Ghosh: On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. Biological Cybernetics 76(3): 207-215 (1997)
35		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)
34		Srinivasa V. Chakravarthy, Joydeep Ghosh: Function Emulation Using Radial Basis Function Networks. Neural Networks 10(3): 459-478 (1997)
33		Bryan W. Stiles, Joydeep Ghosh: Habituation based neural networks for spatio-temporal classification. Neurocomputing 15(3-4): 273-307 (1997)
32		Kurt D. Bollacker, Joydeep Ghosh: Knowledge reuse in multiple classifier systems. Pattern Recognition Letters 18(11-13): 1385-1390 (1997)
	1996
31		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
30		Srinivasa V. Chakravarthy, Joydeep Ghosh: A complex-valued associative memory for storing patterns as oscillatory states. Biological Cybernetics 75(3): 229-238 (1996)
29		Kagan Tumer, Joydeep Ghosh: Error Correlation and Error Reduction in Ensemble Classifiers. Connect. Sci. 8(3): 385-404 (1996)
28		José N. Amaral, Joydeep Ghosh: A Concurrent Architecture for Serializable Production Systems. IEEE Trans. Parallel Distrib. Syst. 7(12): 1265-1280 (1996)
27		Kagan Tumer, Joydeep Ghosh: Analysis of decision boundaries in linearly combined neural classifiers. Pattern Recognition 29(2): 341-348 (1996)
	1995
26		José N. Amaral, Joydeep Ghosh: Performance measurements of a concurrent production system architecture without global synchronization. IPPS 1995: 790-797
25		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)
24		José Nelson Amaral, Kagan Tumer, Joydeep Ghosh: Designing genetic algorithms for the state assignment problem. IEEE Transactions on Systems, Man, and Cybernetics 25(4): 687-694 (1995)
	1994
23		Kagan Tumer, Joydeep Ghosh: Sequence Recognition by Input Anticipation. IEA/AIE 1994: 77-86
22		Song Chong, San-qi Li, Joydeep Ghosh: Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. INFOCOM 1994: 81-90
21		Joydeep Ghosh, Patrick LaCour, Spence Jackson: OTA Based Neural Network Architectures with On-Chip Tuning of Synapses. VLSI Design 1994: 71-76
20		Vijay K. Garg, Joydeep Ghosh: Repeated Computation of Global Functions in a Distributed Environment. IEEE Trans. Parallel Distrib. Syst. 5(8): 823-834 (1994)
19		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)
18		Jeffrey T. Draper, Joydeep Ghosh: A Comprehensive Analytical Model for Wormhole Routng in Multicomputer Systems. J. Parallel Distrib. Comput. 23(2): 202-214 (1994)
17		Jeffrey T. Draper, Joydeep Ghosh: The M-Cache: A Message-Handling Mechanism for Multicomputer Systems. Parallel Computing 20(9): 1269-1288 (1994)
	1993
16		Joydeep Ghosh, Nari Krishnamurthy: Fault-Tolerant Arbitration in Multichip Crossbar Switches. VLSI Design 1993: 351-356
15		Hung-Jen Chang, Joydeep Ghosh: Pattern association and retrieval in a continuous neural system. Biological Cybernetics 69(1): 77-86 (1993)
14		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
13		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
12		Sajal K. Das, Joydeep Ghosh, Narsingh Deo: Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems. Discrete Applied Mathematics 37/38: 119-146 (1992)
11		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)
10		Joydeep Ghosh, Yoan Shin: Efficient Higher-Order Neural Networks for Classification and Function Approximation. Int. J. Neural Syst. 3(4): 323-350 (1992)
	1991
9		Joydeep Ghosh, Bipul Agarwal: Parallel I/O Subsystems for Distributed-Memory Multicomputers. IPPS 1991: 381-384
8		Jeffrey T. Draper, Joydeep Ghosh, William C. Athas: The M-cache: a message-retrieving mechanism for multicomputer systems. SPDP 1991: 258-265
	1990
7		Vijay K. Garg, Joydeep Ghosh: Symmetry in Spite of Hierarchy. ICDCS 1990: 4-11
	1989
6		Joydeep Ghosh, Kai Hwang: Mapping Neural Networks onto Message-Passing Multicomputers. J. Parallel Distrib. Comput. 6(2): 291-330 (1989)
	1988
5		Anujan Varma, Joydeep Ghosh, Christos J. Georgiou: Reliable design of large crosspoint switching networks. FTCS 1988: 320-325
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)

Coauthor Index

1	Ayan Acharya	[139] [142] [144] [149]
2	Sreangsu Acharyya	[69] [117] [144]
3	Bipul Agarwal	[9]
4	Jake K. Aggarwal (J. K. Aggarwal)	[37]
5	A. Agogino	[50]
6	José Nelson Amaral (José N. Amaral)	[24] [26] [28]
7	Chidanand Apté (Chid Apté)	[147]
8	William C. Athas	[8]
9	Arindam Banerjee	[57] [64] [68] [70] [72] [73] [76] [77] [82] [89] [97]
10	Sugato Basu	[53] [82]
11	Robert H. Bishop	[35]
12	Kurt D. Bollacker	[32] [38] [39]
13	Alan C. Bovik (Alan Conrad Bovik)	[48] [148]
14	Wassim S. Chaer	[35]
15	Srinivasa V. Chakravarthy	[30] [34] [36]
16	Hung-Jen Chang	[11] [15]
17	Kuiyu Chang	[52] [86]
18	Yangchi Chen	[78] [90] [101] [103]
19	Hyuk Cho	[116] [126]
20	Song Chong	[22] [25]
21	Raymond Chowkwanyun	[2]
22	Brian La Cour	[131]
23	Melba M. Crawford	[49] [54] [58] [65] [67] [78] [88] [90] [91] [101] [103] [108] [114]
24	Srivatsava Daruru	[123] [135]
25	Sajal K. Das	[12] [19]
26	Narsingh Deo	[12]
27	Meghana Deodhar	[94] [99] [100] [115] [116] [122] [126] [129] [136] [137] [145]
28	Sankari Dhandapani	[135]
29	Inderjit S. Dhillon	[64] [70] [72] [73] [76] [77] [97] [116] [126]
30	Duo Ding	[151]
31	Jeffrey T. Draper (Jeff Draper)	[8] [13] [14] [17] [18]
32	Jayakrishnan Eledath	[37]
33	Brian L. Evans	[48]
34	Vijay K. Garg	[7] [20]
35	Wilson S. Geisler	[40] [41]
36	Christos J. Georgiou	[5]
37	Kelvin D. Goveas	[14]
38	Gunjan Gupta	[84] [92] [95] [105] [116] [126] [130] [135]
39	Jisoo Ham	[67] [78]
40	David J. Hand	[106]
41	Eric Heinen	[111]
42	Alex Henneguelle	[58] [65] [67]
43	Eduardo R. Hruschka	[142] [144] [149]
44	Amanda Hutton	[146]
45	Kai Hwang	[1] [2] [3] [4] [6]
46	Ilian Iliev	[135]
47	Spence Jackson	[21]
48	Ajita John	[19]
49	Lizy Kurian John (Lizy K. John)	[80] [107]
50	Clinton Jones	[136]
51	Ajay Joshi	[80] [107]
52	Goo Jun	[113] [118] [119] [120] [121] [124] [125] [127] [128] [132] [134] [138] [140] [141]
53	Hillol Kargupta	[47]
54	Wonkook Kim	[101] [114]
55	Nari Krishnamurthy	[16]
56	Chase Krumpelman	[82] [104]
57	Shailesh Kumar	[49] [54]
58	Vipin Kumar	[47] [106]
59	Turker Kuyel	[40]
60	T. Kyuel	[41]
61	Patrick LaCour	[21]
62	Diane Lambert	[96]
63	San-qi Li	[22] [25]
64	Kadir Liano	[11]
65	Paulo J. G. Lisboa	[50]
66	Alexander Liu	[92] [102] [118] [119] [124] [128] [130] [131]
67	Bing Liu	[106]
68	Yue Luo	[80] [107]
69	Nena M. Marin	[123] [135]
70	Cheryl E. Martin	[102] [131]
71	Geoffrey J. McLachlan	[106]
72	Srujana Merugu	[66] [70] [72] [73] [74] [76] [83] [97]
73	Thomas E. Milner	[48]
74	Anish Mittal	[148]
75	Dharmendra S. Modha	[72] [97]
76	Raymond J. Mooney	[53] [82]
77	Joseph T. Morgan	[58] [67]
78	Hiroshi Motoda	[106]
79	Gautam S. Muralidhar	[148]
80	Paul Navratil	[135]
81	Amy Neuenschwander	[58]
82	Angus F. M. Ng	[106]
83	Zoran Obradovic	[47] [132]
84	David Z. Pan (David Zhigang Pan)	[151]
85	Yubin Park	[143] [150]
86	Krupakar V. Pasupuleti	[53]
87	Stavros J. Perantonis	[50]
88	Sergios Petridis	[50]
89	Aashish Phansalkar	[80] [107]
90	Kunal Punera	[79] [85] [87] [93] [98] [109] [110]
91	J. Ross Quinlan	[106]
92	Vladan Radosavljevic	[132]
93	S. Raj	[91]
94	Suju Rajan	[71] [79] [81] [87] [88] [93] [108]
95	Viswanath Ramamurti	[42]
96	Nirmala Ramanujam	[31] [45]
97	Rebecca R. Richards-Kortum	[31] [45]
98	Matthew Riley	[111]
99	Wade Schwartzkopf	[48]
100	Shishir Shah	[37]
101	Aayush Sharma	[145]
102	Yoan Shin (Yoan San Shin)	[10]
103	David B. Skillicorn	[96]
104	Padhraic Smyth	[147]
105	Suvrit Sra	[64] [77]
106	Jaideep Srivastava	[96]
107	Michael Steinbach	[106]
108	Dan Steinberg	[106]
109	Bryan W. Stiles	[33]
110	Alexander Strehl	[51] [56] [60] [62]
111	Ismail A. Taha	[43]
112	Dean Teffer	[146]
113	James C. Tilton	[101]
114	Kagan Tumer	[23] [24] [27] [29] [31] [44] [45] [46] [55]
115	Anujan Varma	[5]
116	Ranga Raju Vatsavai	[127]
117	Vassilis Virvilis	[50]
118	Matt Walker	[123]
119	Xindong Wu	[106]
120	Weijia Xu	[135]
121	Qiang Yang	[106]
122	Bei Yu	[151]
123	Philip S. Yu	[106]
124	Shi Zhong	[61] [63] [75]
125	Zhi-Hua Zhou	[106]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page