☰

Joydeep Ghosh

Affiliations: 
Electrical and Computer Engineering University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Computer Science
Website:
https://www.ece.utexas.edu/people/faculty/joydeep-ghosh
Google:
"Joydeep Ghosh"
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Parents

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Kai Hwang grad student 1988 USC (Computer Science Tree)
 (Communications-efficient Architectures for Massively Parallel Processing)

Children

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V. Srinivasa Chakravarthy grad student (Neurotree)
Jeffrey T. Draper grad student 1993 UT Austin
Kui-yu Chang grad student 2000 UT Austin
Shailesh Kumar grad student 2000 UT Austin
Alexander Strehl grad student 2002 UT Austin
Adrian K. Agogino grad student 2003 UT Austin
Shi Zhong grad student 2003 UT Austin
Gunjan K. Gupta grad student 2006 UT Austin
Srujana Merugu grad student 2006 UT Austin
Suju Rajan grad student 2006 UT Austin
Kunal V. Punera grad student 2007 UT Austin
Alexander Y. Liu grad student 2009 UT Austin

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Publications

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Coletta LF, Ponti M, Hruschka ER, et al. (2019) Combining clustering and active learning for the detection and learning of new image classes Neurocomputing. 358: 150-165
Teffer D, Srinivasan R, Ghosh J. (2018) AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks International Journal of Data Science and Analytics. 8: 257-267
Deodhar M, Ghosh J, Saar-Tsechansky M, et al. (2017) Active Learning with Multiple Localized Regression Models Informs Journal On Computing. 29: 503-522
Joshi S, Ghosh J, Reid M, et al. (2016) Rényi divergence minimization based co-regularized multiview clustering Machine Learning. 1-29
Covões TF, Hruschka ER, Ghosh J. (2015) Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evolutionary Computation
Coletta LFS, Hruschka ER, Acharya A, et al. (2015) Using metaheuristics to optimize the combination of classifier and cluster ensembles Integrated Computer-Aided Engineering. 22: 229-242
Coletta LFS, Hruschka ER, Acharya A, et al. (2015) A differential evolution algorithm to optimise the combination of classifier and cluster ensembles International Journal of Bio-Inspired Computation. 7: 111-124
Ho JC, Ghosh J, Steinhubl SR, et al. (2014) Limestone: high-throughput candidate phenotype generation via tensor factorization. Journal of Biomedical Informatics. 52: 199-211
Acharya A, Hruschka ER, Ghosh J, et al. (2014) An optimization framework for combining ensembles of classifiers and clusterers with applications to nontransductive semisupervised learning and transfer learning Acm Transactions On Knowledge Discovery From Data. 9
Park Y, Ghosh J. (2014) Ensembles of α-trees for imbalanced classification problems Ieee Transactions On Knowledge and Data Engineering. 26: 131-143
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