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Souparno Ghosh
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2020 – today
- 2024
- [j14]Zhuanzhuan Ma, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang
:
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors. Stat. Anal. Data Min. 17(1) (2024) - [j13]Eric Rodene, Gayara Demini Fernando
, Ved Piyush
, Yufeng Ge, James C. Schnable, Souparno Ghosh, Jinliang Yang:
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms. Sensors 24(7): 2172 (2024) - [i4]Daniel Nolte, Souparno Ghosh, Ranadip Pal:
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. CoRR abs/2402.14080 (2024) - 2023
- [i3]Ved Piyush, Yuchen Yan, Yuzhen Zhou, Yanbin Yin, Souparno Ghosh:
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks. CoRR abs/2307.10436 (2023) - 2022
- [j12]Ruibo Zhang, Souparno Ghosh, Ranadip Pal:
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. Briefings Bioinform. 23(3) (2022) - [j11]Mai Dao, Min Wang
, Souparno Ghosh, Keying Ye:
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior. Comput. Stat. 37(3): 1339-1368 (2022) - [j10]Mai Dao, Min Wang
, Souparno Ghosh:
A novel Bayesian method for variable selection and estimation in binary quantile regression. Stat. Anal. Data Min. 15(6): 766-780 (2022) - 2021
- [j9]Omid Bazgir, Souparno Ghosh, Ranadip Pal
:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. Bioinform. 37(Supplement): 42-50 (2021) - 2020
- [j8]Ali Nejat
, Roxana J. Javid, Souparno Ghosh, Saeed Moradi
:
A spatially explicit model of postdisaster housing recovery. Comput. Aided Civ. Infrastructure Eng. 35(2): 150-161 (2020) - [i2]Omid Bazgir, Souparno Ghosh, Ranadip Pal:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. CoRR abs/2009.04076 (2020)
2010 – 2019
- 2019
- [j7]Raziur Rahman, Saugato Rahman Dhruba
, Kevin Matlock, Carlos De Niz, Souparno Ghosh, Ranadip Pal
:
Evaluating the consistency of large-scale pharmacogenomic studies. Briefings Bioinform. 20(5): 1734-1753 (2019) - [j6]Kevin Matlock, Raziur Rahman, Souparno Ghosh, Ranadip Pal
:
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. Bioinform. 35(17): 3143-3145 (2019) - [j5]Saugato Rahman Dhruba
, Aminur Rahman
, Raziur Rahman, Souparno Ghosh, Ranadip Pal
:
Recursive model for dose-time responses in pharmacological studies. BMC Bioinform. 20-S(12): 317:1-317:12 (2019) - [j4]Mehdi Jamali, Ali Nejat
, Souparno Ghosh, Fang Jin
, Guofeng Cao
:
Social media data and post-disaster recovery. Int. J. Inf. Manag. 44: 25-37 (2019) - [i1]Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba
, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. CoRR abs/1912.05687 (2019) - 2018
- [j3]Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal
:
Sequential feature selection and inference using multi-variate random forests. Bioinform. 34(8): 1336-1344 (2018) - [j2]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
:
Investigation of model stacking for drug sensitivity prediction. BMC Bioinform. 19-S(3): 21-33 (2018) - [j1]Saugato Rahman Dhruba
, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
:
Application of transfer learning for cancer drug sensitivity prediction. BMC Bioinform. 19-S(17): 51-63 (2018) - [c4]Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal:
Recursive Model for Dose-time Responses in Pharmacological Studies. BCB 2018: 583 - [c3]Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal:
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. EMBC 2018: 279-282 - [c2]Saugato Rahman Dhruba
, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
:
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. EMBC 2018: 1246-1249 - 2017
- [c1]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB 2017: 772
Coauthor Index
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last updated on 2024-05-19 00:09 CEST by the dblp team
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