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Raziur Rahman
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2020 – today
- 2021
- [i2]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 abs/2107.10292 (2021)
2010 – 2019
- 2019
- [j8]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): 1734-1753 (2019) - [j7]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): 3143-3145 (2019) - [j6]Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Recursive model for dose-time responses in pharmacological studies. BMC Bioinform. 20-S(12): 317:1-317:12 (2019) - [i1]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 abs/1912.05687 (2019) - 2018
- [j5]Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Sequential feature selection and inference using multi-variate random forests. Bioinform. 34(8): 1336-1344 (2018) - [j4]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Investigation of model stacking for drug sensitivity prediction. BMC Bioinform. 19-S(3): 21-33 (2018) - [j3]Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal:
Application of transfer learning for cancer drug sensitivity prediction. BMC Bioinform. 19-S(17): 51-63 (2018) - [c4]Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal:
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. EMBC 2018: 279-282 - [c3]Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal:
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. EMBC 2018: 1246-1249 - 2017
- [j2]Raziur Rahman, John Otridge, Ranadip Pal:
IntegratedMRF: random forest-based framework for integrating prediction from different data types. Bioinform. 33(9): 1407-1410 (2017) - [c2]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB 2017: 772 - 2016
- [j1]Carlos De Niz, Raziur Rahman, Xiangyuan Zhao, Ranadip Pal:
Algorithms for Drug Sensitivity Prediction. Algorithms 9(4): 77 (2016) - [c1]Raziur Rahman, Ranadip Pal:
Analyzing drug sensitivity prediction based on dose response curve characteristics. BHI 2016: 140-143
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