DeepFit

Author:

Kulkarni Adita1,Seetharam Anand1,Ramesh Arti1

Affiliation:

1. SUNY Binghamton

Publisher

ACM

Reference30 articles.

1. [n.d.]. Code and data. https://bitbucket.org/aditakulkarni/equipment_usage_prediction. [n.d.]. Code and data. https://bitbucket.org/aditakulkarni/equipment_usage_prediction.

2. [n.d.]. U.S. Department of Health & Human Services. https://www.hhs.gov. [n.d.]. U.S. Department of Health & Human Services. https://www.hhs.gov.

3. Brandon Ballinger Johnson Hsieh Avesh Singh Nimit Sohoni Jack Wang Geoffrey Tison Gregory Marcus Jose Sanchez Carol Maguire Jeffrey Olgin and Mark Pletcher. 2018. DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16967/15916 Brandon Ballinger Johnson Hsieh Avesh Singh Nimit Sohoni Jack Wang Geoffrey Tison Gregory Marcus Jose Sanchez Carol Maguire Jeffrey Olgin and Mark Pletcher. 2018. DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction. https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16967/15916

4. Weiyu Cheng Yanyan Shen Yanmin Zhu and Linpeng Huang. 2018. A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16607 Weiyu Cheng Yanyan Shen Yanmin Zhu and Linpeng Huang. 2018. A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16607

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