Souparno Ghosh

According to our database1, Souparno Ghosh authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms.
Sensors, April, 2024

Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors.
Stat. Anal. Data Min., February, 2024

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.
CoRR, 2024

Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.
CoRR, 2024

2023
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks.
CoRR, 2023

2022
A novel Bayesian method for variable selection and estimation in binary quantile regression.
Stat. Anal. Data Min., 2022

Bayesian variable selection and estimation in quantile regression using a quantile-specific prior.
Comput. Stat., 2022

Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.
Briefings Bioinform., 2022

2021
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction.
Bioinform., 2021

2020
A spatially explicit model of postdisaster housing recovery.
Comput. Aided Civ. Infrastructure Eng., 2020

2019
Social media data and post-disaster recovery.
Int. J. Inf. Manag., 2019

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks.
CoRR, 2019

Recursive model for dose-time responses in pharmacological studies.
BMC Bioinform., 2019

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features.
Bioinform., 2019

Evaluating the consistency of large-scale pharmacogenomic studies.
Briefings Bioinform., 2019

2018
Investigation of model stacking for drug sensitivity prediction.
BMC Bioinform., 2018

Application of transfer learning for cancer drug sensitivity prediction.
BMC Bioinform., 2018

Sequential feature selection and inference using multi-variate random forests.
Bioinform., 2018

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Recursive Model for Dose-time Responses in Pharmacological Studies.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018


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