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Amitava Banerjee
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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
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