souparno ghosh
Cited by
Cited by
Dual impacts of climate change: forest migration and turnover through life history
K Zhu, CW Woodall, S Ghosh, AE Gelfand, JS Clark
Global change biology 20 (1), 251-264, 2014
Social media data and post-disaster recovery
M Jamali, A Nejat, S Ghosh, F Jin, G Cao
International Journal of Information Management 44, 25-37, 2019
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks
O Bazgir, R Zhang, SR Dhruba, R Rahman, S Ghosh, R Pal
Nature communications 11 (1), 4391, 2020
Heterogeneity aware random forest for drug sensitivity prediction
R Rahman, K Matlock, S Ghosh, R Pal
Scientific reports 7 (1), 11347, 2017
A generalized linear mixed model for longitudinal binary data with a marginal logit link function
M Parzen, S Ghosh, S Lipsitz, D Sinha, GM Fitzmaurice, BK Mallick, ...
The annals of applied statistics 5 (1), 449, 2011
A hierarchical Bayesian spatio‐temporal model for extreme precipitation events
S Ghosh, BK Mallick
Environmetrics 22 (2), 192-204, 2011
Functional random forest with applications in dose-response predictions
R Rahman, SR Dhruba, S Ghosh, R Pal
Scientific reports 9 (1), 1628, 2019
LASSO model of postdisaster housing recovery: Case study of Hurricane Sandy
A Nejat, S Ghosh
Natural Hazards Review 17 (3), 04016007, 2016
Investigation of model stacking for drug sensitivity prediction
K Matlock, C De Niz, R Rahman, S Ghosh, R Pal
BMC bioinformatics 19, 21-33, 2018
A copula based approach for design of multivariate random forests for drug sensitivity prediction
S Haider, R Rahman, S Ghosh, R Pal
PloS one 10 (12), e0144490, 2015
Application of transfer learning for cancer drug sensitivity prediction
SR Dhruba, R Rahman, K Matlock, S Ghosh, R Pal
BMC bioinformatics 19, 51-63, 2018
Inference for size demography from point pattern data using integral projection models
S Ghosh, AE Gelfand, JS Clark
Journal of agricultural, biological, and environmental statistics 17, 641-677, 2012
The k-ZIG: flexible modeling for zero-inflated counts
S Ghosh, AE Gelfand, K Zhu, JS Clark
Biometrics 68 (3), 878-885, 2012
Social media data and housing recovery following extreme natural hazards
M Jamali, A Nejat, S Moradi, S Ghosh, G Cao, F Jin
International Journal of Disaster Risk Reduction 51, 101788, 2020
Design of probabilistic random forests with applications to anticancer drug sensitivity prediction
R Rahman, S Haider, S Ghosh, R Pal
Cancer informatics 14, CIN. S30794, 2015
A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry
S Alemayehu, A Nejat, T Ghebrab, S Ghosh
Engineering, Construction and Architectural Management 29 (7), 2635-2664, 2022
Attaching uncertainty to deterministic spatial interpolations
S Ghosh, AE Gelfand, T Mølhave
Statistical Methodology 9 (1-2), 251-264, 2012
Anchors of social network awareness index: A key to modeling postdisaster housing recovery
A Nejat, S Moradi, S Ghosh
Journal of Infrastructure Systems 25 (2), 04019004, 2019
Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma
NE Berlow, R Rikhi, M Geltzeiler, J Abraham, MN Svalina, LE Davis, ...
BMC cancer 19, 1-23, 2019
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
O Bazgir, S Ghosh, R Pal
Bioinformatics 37 (Supplement_1), i42-i50, 2021
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