Raziur Rahman

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 14

Top Topics

Transfer Learning

Dimensionality Reduction

Top Venues

Publications

Carlos Olivares, Raziur Rahman, Christopher Stankus, Jade Hampton, Andrew Zedwick, Moinuddin Ahmed
Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms. CoRR (2021)
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)
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)
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)
Raziur Rahman, John Otridge, Ranadip Pal
IntegratedMRF: random forest-based framework for integrating prediction from different data types. Bioinform. 33 (9) (2017)
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB (2017)
Raziur Rahman, Ranadip Pal
Analyzing drug sensitivity prediction based on dose response curve characteristics. BHI (2016)
Carlos De Niz, Raziur Rahman, Xiangyuan Zhao, Ranadip Pal
Algorithms for Drug Sensitivity Prediction. Algorithms 9 (4) (2016)