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Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture


May 07, 2020
Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng

* CVPR 2020 - Vision for Agriculture; https://www.agriculture-vision.com 

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The 1st Agriculture-Vision Challenge: Methods and Results


Apr 23, 2020
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang

* CVPR 2020 Workshop 

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Predicting Inpatient Discharge Prioritization With Electronic Health Records


Dec 02, 2018
Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Ng, Nigam H. Shah


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Countdown Regression: Sharp and Calibrated Survival Predictions


Jun 21, 2018
Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Ng


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Improving Palliative Care with Deep Learning


Nov 17, 2017
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, Nigam H. Shah

* IEEE International Conference on Bioinformatics and Biomedicine 2017 

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Deep Voice: Real-time Neural Text-to-Speech


Mar 07, 2017
Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

* Submitted to ICML 2017 

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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin


Dec 08, 2015
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu


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Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving


Dec 07, 2015
Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Ng


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Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)


Aug 28, 2014
Jeff Bilmes, Andrew Ng


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Deep learning for class-generic object detection


Dec 24, 2013
Brody Huval, Adam Coates, Andrew Ng


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Tuned Models of Peer Assessment in MOOCs


Jul 09, 2013
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, Daphne Koller

* Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013) 

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