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Amita Gajewar
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2010 – 2019
- 2019
- [c5]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. MIDAS@PKDD 2019: 16-31 - [i3]Allison Koenecke, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. CoRR abs/1904.12887 (2019) - 2018
- [c4]Jocelyn Barker, Amita Gajewar, Konstantin Golyaev, Gagan Bansal, Matt Conners:
Secure and Automated Enterprise Revenue Forecasting. AAAI 2018: 7657-7664 - 2017
- [i2]Amita Gajewar, Gagan Bansal:
Revenue Forecasting for Enterprise Products. CoRR abs/1701.06624 (2017) - 2016
- [c3]Amita Gajewar, Lizhong Wu, Jignesh Parmar, Ramana Yerneni:
Forecasting squatting of demand in display advertising. IEEE BigData 2016: 1587-1594 - 2013
- [j1]Atish Das Sarma, Amita Gajewar, Richard J. Lipton, Danupon Nanongkai:
An Approximate Restatement of the Four-Color Theorem. J. Graph Algorithms Appl. 17(5): 567-573 (2013) - 2012
- [c2]Amita Gajewar, Atish Das Sarma:
Multi-skill Collaborative Teams based on Densest Subgraphs. SDM 2012: 165-176 - 2011
- [c1]Kevin J. Lang, Joaquin Delgado, Dongming Jiang, Bhaskar Ghosh, Shirshanka Das, Amita Gajewar, Swaroop Jagadish, Arathi Seshan, Chavdar Botev, Michael Ortega-Binderberger, Sunil Nagaraj, Raymie Stata:
Efficient online ad serving in a display advertising exchange. WSDM 2011: 307-316 - [i1]Amita Gajewar, Atish Das Sarma:
Multi-skill Collaborative Teams based on Densest Subgraphs. CoRR abs/1102.3340 (2011)
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