Raziur Rahman

According to our database, Raziur Rahman authored at least 13 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms.

Carlos Olivares, Raziur Rahman, Christopher Stankus, Jade Hampton, Andrew Zedwick, Moinuddin Ahmed

CoRR, 2021

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

Recursive model for dose-time responses in pharmacological studies.

Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal

BMC 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

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

2018

Investigation of model stacking for drug sensitivity prediction.

Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal

BMC 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

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

Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal

Bioinform., 2018

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases.

Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal

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.

Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

IntegratedMRF: random forest-based framework for integrating prediction from different data types.

Raziur Rahman, John Otridge, Ranadip Pal

Bioinform., 2017

2016

Algorithms for Drug Sensitivity Prediction.

Carlos De Niz, Raziur Rahman, Xiangyuan Zhao, Ranadip Pal

Algorithms, 2016

Analyzing drug sensitivity prediction based on dose response curve characteristics.

Raziur Rahman, Ranadip Pal

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016