Recursive Model for Dose-time Responses in Pharmacological Studies. - Aminur Rahman; Saugato Rahman Dhruba; Souparno Ghosh; Ranadip Pal (BCB, 2018)

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (EMBC, 2018)

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. - Raziur Rahman; Chamila Perera; Souparno Ghosh; Ranadip Pal (EMBC, 2018)

Sequential feature selection and inference using multi-variate random forests. - Joshua Mayer; Raziur Rahman; Souparno Ghosh; Ranadip Pal (Bioinform., 2018)

Application of transfer learning for cancer drug sensitivity prediction. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Investigation of model stacking for drug sensitivity prediction. - Kevin Matlock; Carlos De Niz; Raziur Rahman; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Evaluating the consistency of large-scale pharmacogenomic studies. - Raziur Rahman; Saugato Rahman Dhruba; Kevin Matlock; Carlos De Niz; Souparno Ghosh; Ranadip Pal (Briefings Bioinform., 2019)

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. - Kevin Matlock; Raziur Rahman; Souparno Ghosh; Ranadip Pal (Bioinform., 2019)

Recursive model for dose-time responses in pharmacological studies. - Saugato Rahman Dhruba; Aminur Rahman; Raziur Rahman; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2019)

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. - Omid Bazgir; Ruibo Zhang; Saugato Rahman Dhruba; Raziur Rahman; Souparno Ghosh; Ranadip Pal (CoRR, 2019)

Social media data and post-disaster recovery. - Mehdi Jamali; Ali Nejat; Souparno Ghosh; Fang Jin; Guofeng Cao (Int. J. Inf. Manag., 2019)

A spatially explicit model of postdisaster housing recovery. - Ali Nejat; Roxana J. Javid; Souparno Ghosh; Saeed Moradi (Comput. Aided Civ. Infrastructure Eng., 2020)

Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. - Omid Bazgir; Souparno Ghosh; Ranadip Pal (Bioinform., 2021)

Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. - Ruibo Zhang; Souparno Ghosh; Ranadip Pal (Briefings Bioinform., 2022)

Bayesian variable selection and estimation in quantile regression using a quantile-specific prior. - Mai Dao; Min Wang 004; Souparno Ghosh; Keying Ye (Comput. Stat., 2022)

A novel Bayesian method for variable selection and estimation in binary quantile regression. - Mai Dao; Min Wang 004; Souparno Ghosh (Stat. Anal. Data Min., 2022)

A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks. - Ved Piyush; Yuchen Yan; Yuzhen Zhou; Yanbin Yin; Souparno Ghosh (CoRR, 2023)

Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. - Daniel Nolte; Souparno Ghosh; Ranadip Pal (EMBC, 2024)

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. - Jamie C. Overbeek; Alexander Partin; Thomas S. Brettin; Nicholas Chia; Oleksandr Narykov; Priyanka Vasanthakumari; Andreas Wilke; Yitan Zhu; Austin Clyde; Sara Jones; Rohan Gnanaolivu; Yuanhang Liu; et al. (CoRR, 2024)

Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors. - Zhuanzhuan Ma; Zifei Han; Souparno Ghosh; Liucang Wu; Min Wang 004 (Stat. Anal. Data Min., 2024)

Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms. - Eric Rodene; Gayara Demini Fernando; Ved Piyush; Yufeng Ge; James C. Schnable; Souparno Ghosh; Jinliang Yang (Sensors, 2024)

Testing for the Important Components of Predictive Variance. - Dean Dustin; Souparno Ghosh; Bertrand S. Clarke (Stat. Anal. Data Min., 2025)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Alexander Partin; Priyanka Vasanthakumari; Oleksandr Narykov; Andreas Wilke; Natasha Koussa; Sara E. Jones; Yitan Zhu; Jamie C. Overbeek; Rajeev Jain; Gayara Demini Fernando; Cesar Sanchez-Villalobos; Cristina Garcia-Cardona; et al. (CoRR, 2025)

AdapTor: Adaptive Topological Regression for quantitative structure-activity relationship modeling. - Yixiang Mao; Souparno Ghosh; Ranadip Pal (J. Cheminformatics, 2025)