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Joydeep Ghosh
Joydeep Ghosh
(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombs
Bestätigte E-Mail-Adresse bei utexas.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Top 10 algorithms in data mining
X Wu, V Kumar, J Ross Quinlan, J Ghosh, Q Yang, H Motoda, ...
Knowledge and information systems 14, 1-37, 2008
79942008
Cluster ensembles---a knowledge reuse framework for combining multiple partitions
A Strehl, J Ghosh
Journal of machine learning research 3 (Dec), 583-617, 2002
64382002
Clustering with Bregman Divergences
A Banerjee, S Merugu, I Dhillon, J Ghosh
Proceedings of the Fourth SIAM International Conference on Data Mining 117, 234, 2004
22142004
Investigation of the random forest framework for classification of hyperspectral data
J Ham, Y Chen, MM Crawford, J Ghosh
IEEE Transactions on Geoscience and Remote Sensing 43 (3), 492-501, 2005
13222005
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
A Banerjee, IS Dhillon, J Ghosh, S Sra
Journal of Machine Learning Research 6 (9), 2005
12142005
The top ten algorithms in data mining
X Wu
CRC Press google schola 2, 133-143, 2009
11462009
Impact of similarity measures on web-page clustering
A Strehl, J Ghosh, R Mooney
Workshop on artificial intelligence for web search (AAAI 2000) 58, 64, 2000
11442000
Discovering important people and objects for egocentric video summarization
YJ Lee, J Ghosh, K Grauman
2012 IEEE conference on computer vision and pattern recognition, 1346-1353, 2012
9232012
Error correlation and error reduction in ensemble classifiers
K Tumer, J Ghosh
Connection science 8 (3-4), 385-404, 1996
8561996
Explainable machine learning in deployment
U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ...
Proceedings of the 2020 conference on fairness, accountability, and …, 2020
7492020
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
5892004
Analysis of decision boundaries in linearly combined neural classifiers
K Tumer, J Ghosh
Pattern recognition 29 (2), 341-348, 1996
4871996
A unified framework for model-based clustering
S Zhong, J Ghosh
The Journal of Machine Learning Research 4, 1001-1037, 2003
4512003
The pi-sigma network: An efficient higher-order neural network for pattern classification and function approximation
Y Shin, J Ghosh
IJCNN-91-Seattle international joint conference on neural networks 1, 13-18, 1991
4081991
Best-bases feature extraction algorithms for classification of hyperspectral data
S Kumar, J Ghosh, MM Crawford
IEEE Transactions on Geoscience and remote sensing 39 (7), 1368-1379, 2001
3702001
An active learning approach to hyperspectral data classification
S Rajan, J Ghosh, MM Crawford
IEEE Transactions on Geoscience and Remote Sensing 46 (4), 1231-1242, 2008
3502008
Clickstream clustering using weighted longest common subsequences
A Banerjee, J Ghosh
Proceedings of the web mining workshop at the 1st SIAM conference on data …, 2001
3332001
A comprehensive analytical model for wormhole routing in multicomputer systems
JT Draper, J Ghosh
Journal of Parallel and Distributed Computing 23 (2), 202-214, 1994
3221994
Model-based overlapping clustering
A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
3112005
Privacy-preserving distributed clustering using generative models
S Merugu, J Ghosh
Third IEEE International Conference on Data Mining, 211-218, 2003
3082003
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