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2020 – today
- 2022
[b1]Amitava Banerjee:
Developing Machine Learning Techniques for Network connectivity Inference from Time-Series Data. University of Maryland, College Park, MD, USA, 2022- 2021
- [j5]Honghan Wu
, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie:
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28(4): 791-800 (2021) - [j4]Alvina Grace Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros C. Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve K. Harris, Sylvia Richardson, Reecha Sofat, Richard J. B. Dobson, Aroon D. Hingorani, Riyaz Patel, Jonathan Sterne, Amitava Banerjee, Alastair K. Denniston, Simon Ball, Neil J. Sebire, Nigam H. Shah, Graham R. Foster, Bryan Williams, Harry Hemingway:
An informatics consult approach for generating clinical evidence for treatment decisions. BMC Medical Informatics Decis. Mak. 21(1): 281 (2021) - 2020
- [i4]Amitava Banerjee, Joseph D. Hart, Rajarshi Roy, Edward Ott:
Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests. CoRR abs/2010.15289 (2020)
2010 – 2019
- 2019
- [j3]Spiros C. Denaxas, Arturo Gonzalez-Izquierdo, Kenan Direk, Natalie K. Fitzpatrick, Ghazaleh Fatemifar, Amitava Banerjee, Richard J. B. Dobson, Laurence J. Howe, Valerie Kuan, R. Tom Lumbers, Laura Pasea, Riyaz S. Patel, Anoop D. Shah, Aroon D. Hingorani, Cathie Sudlow, Harry Hemingway:
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26(12): 1545-1559 (2019) - [i3]Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott:
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links. CoRR abs/1912.02721 (2019) - 2018
- [j2]Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu:
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. Neural Comput. 30(3) (2018) - 2017
- [i2]Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar:
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR abs/1704.03458 (2017) - 2015
- [c5]Amitava Banerjee, Sougata Kar, Subhrajit Roy, Aritra Bhaduri, Arindam Basu:
A current-mode spiking neural classifier with lumped dendritic nonlinearity. ISCAS 2015: 714-717 - 2014
- [j1]Subhrajit Roy, Amitava Banerjee, Arindam Basu:
Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations. IEEE Trans. Biomed. Circuits Syst. 8(5): 681-695 (2014) - [i1]Subhrajit Roy, Amitava Banerjee, Arindam Basu:
Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations. CoRR abs/1411.5458 (2014) - 2011
- [c4]Arnab Khawas, Amitava Banerjee, Siddhartha Mukhopadhyay:
A Response Surface Method for Design Space Exploration and Optimization of Analog Circuits. ISVLSI 2011: 84-89
2000 – 2009
- 2008
- [c3]Kiran Kumar Garje, Anil Kumar, Santosh Biswas, Amitava Banerjee, Pam Srikanth, Siddhartha Mukhopadhyay:
Macromodel Based Fault Simulation of Linear Circuits using Parameter Estimation. ICIIS 2008: 1-6 - [c2]Amitava Banerjee, Subho Chatterjee, Amit Patra, Siddhartha Mukhopadhyay:
An efficient approach to model distortion in weakly nonlinear Gm - C filters. ISCAS 2008: 1312-1315 - 2007
- [c1]Debojyoti Bhattacharya, Nitin Bansal, Amitava Banerjee, Dipanwita Roy Chowdhury:
A Near Optimal S-Box Design. ICISS 2007: 77-90
Coauthor Index
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