Souparno Ghosh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Transfer Learning

Variable Selection

Quantile Regression

Top Venues

Stat. Anal. Data Min.

Publications

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) (2024)
Daniel Nolte, Souparno Ghosh, Ranadip Pal
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. CoRR (2024)
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)
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 (2023)
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)
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) (2022)
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) (2022)
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. Bioinform. 37 (Supplement) (2021)
Ali Nejat, Roxana J. Javid, Souparno Ghosh, Saeed Moradi
A spatially explicit model of postdisaster housing recovery. Comput. Aided Civ. Infrastructure Eng. 35 (2) (2020)
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. CoRR (2020)
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 (2019)
Mehdi Jamali, Ali Nejat, Souparno Ghosh, Fang Jin, Guofeng Cao
Social media data and post-disaster recovery. Int. J. Inf. Manag. 44 (2019)
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) (2019)
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) (2019)
Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Recursive model for dose-time responses in pharmacological studies. BMC Bioinform. (12) (2019)
Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Sequential feature selection and inference using multi-variate random forests. Bioinform. 34 (8) (2018)
Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. EMBC (2018)
Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal
Recursive Model for Dose-time Responses in Pharmacological Studies. BCB (2018)
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. EMBC (2018)
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Investigation of model stacking for drug sensitivity prediction. BMC Bioinform. (3) (2018)
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
Application of transfer learning for cancer drug sensitivity prediction. BMC Bioinform. (17) (2018)
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB (2017)