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Rajarshi Banerjee
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2020 – today
- 2022
- [c7]Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm. IROS 2022: 2483-2489 - 2021
- [c6]Haonan Wu, Rajarshi Banerjee, Indhumathi Venkatachalam, Praveen Chougale:
Impact of Interventional Policies Including Vaccine on COVID-19 Propagation and Socio-economic Factors: Predictive Model Enabling Simulations Using Machine Learning and Big Data. IntelliSys (3) 2021: 877-884 - [i2]Haonan Wu, Rajarshi Banerjee, Indhumathi Venkatachalam, Daniel Percy-Hughes, Praveen Chougale:
Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors. CoRR abs/2101.03944 (2021) - [i1]Ambedkar Dukkipati, Rajarshi Banerjee, Ranga Shaarad Ayyagari, Dhaval Parmar Udaybhai:
Stay Alive with Many Options: A Reinforcement Learning Approach for Autonomous Navigation. CoRR abs/2102.00168 (2021) - 2020
- [j1]Bharat Gwalani, Tianhao Wang, Abhinav Jagetia, Sindhura Gangireddy, Saideep Muskeri, Sundeep Mukherjee, Jeffrey T. Lloyd, Rajarshi Banerjee, Rajiv S. Mishra:
Dynamic Shear Deformation of a Precipitation Hardened Al0.7CoCrFeNi Eutectic High-Entropy Alloy Using Hat-Shaped Specimen Geometry. Entropy 22(4): 431 (2020)
2010 – 2019
- 2019
- [c5]Harsha Gwalani, Martin O Neill II, Armin R. Mikler, Talukder Alam, Rajarshi Banerjee:
Compositional Analysis for Metallic Systems: Sampling Methods. ICDM 2019: 303-316 - 2018
- [c4]Katherine Arndtz, Benjamin Irving, Peter Eddowes, Dan Green, Matthew Kelly, Naomi Jayaratne, Rajarshi Banerjee, Michael Brady, Gideon M. Hirschfield:
Novel Quantitative Magnetic Resonance Imaging Features with Liver Function Tests to Distinguish Parenchymal and Biliary Disease. MIUA 2018: 37-43 - [c3]Benjamin Irving, Chloe Hutton, Katherine Arndtz, Naomi Jayaratne, Matthew Kelly, Rajarshi Banerjee, Gideon M. Hirschfield, J. Michael Brady:
Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence. MIUA 2018: 44-50 - [c2]Marta Wojciechowska, Benjamin Irving, Andrea Dennis, Henry R. Wilman, Rajarshi Banerjee, Michael Brady, Matthew Kelly:
Automated Detection of Cystic Lesions in Quantitative T1 Liver Images. MIUA 2018: 51-56 - [c1]Ged Ridgway, Kamil Janowski, Andrea Dennis, Velicia Bachtiar, John McGonigle, Chris Everitt, Angela Darekar, David Breen, Dan Green, Stefan Neubauer, Rajarshi Banerjee, Piotr Socha, Michael Brady:
Voxel-Wise Analysis of Paediatric Liver MRI. MIUA 2018: 57-62
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