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ORCIDShrikant D. Pawar
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2020 – today
- 2023
[c7]Rushikesh Ganesh Chopade, Aditya Stanam, Anand Narayanan, Shrikant D. Pawar:
Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost. IWBBIO (2) 2023: 327-342- 2022
- [c6]Shrikant D. Pawar, Karuna Mittal, Chandrajit Lahiri:
Evaluating Performance of Regression and Classification Models Using Known Lung Carcinomas Prognostic Markers. IWBBIO (2) 2022: 413-418 - 2021
- [c5]Shrikant D. Pawar, Aditya Stanam, Rushikesh Ganesh Chopade:
Machine learning for identification and characterization of molecular gene signatures in progression of benign tumors. ICAIIS 2021: 1:1-1:3 - [c4]Shrikant D. Pawar, Aditya Stanam:
Techniques of Time Series Modeling in Complex Systems. ICICT (1) 2021: 1-6 - 2020
- [c3]Shrikant D. Pawar
, Aditya Stanam, Chandrajit Lahiri:
Clustering Reveals Common Check-Point and Growth Factor Receptor Genes Expressed in Six Different Cancer Types. IWBBIO 2020: 581-589
2010 – 2019
- 2019
- [c2]Shrikant D. Pawar, Aditya Stanam:
Developing a DEVS-JAVA Model to Simulate and Pre-test Changes to Emergency Care Delivery in a Safe and Efficient Manner. IWBBIO (2) 2019: 3-14 - [c1]Shrikant D. Pawar:
Web-Based Application for Accurately Classifying Cancer Type from Microarray Gene Expression Data Using a Support Vector Machine (SVM) Learning Algorithm. IWBBIO (2) 2019: 149-154 - 2018
- [j1]Shrikant D. Pawar, Christopher Freas, Irene T. Weber, Robert W. Harrison:
Analysis of drug resistance in HIV protease. BMC Bioinform. 19-S(11): 362:1-362:6 (2018)
Coauthor Index
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