Jeeheh Oh

According to our database, Jeeheh Oh authored at least 6 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Deep Learning Models for Clinical Data: Addressing Task Specific Structure.

Jeeheh Oh

PhD thesis, 2021

Mind the Performance Gap: Examining Dataset Shift During Prospective Validation.

Erkin Ötles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens

Proceedings of the Machine Learning for Healthcare Conference, 2021

2019

Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series.

Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks.

Jeeheh Oh, Jiaxuan Wang, Jenna Wiens

Proceedings of the Machine Learning for Healthcare Conference, 2018

Learning Credible Models.

Jiaxuan Wang, Jeeheh Oh, Haozhu Wang, Jenna Wiens

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Learning Credible Models.

Jiaxuan Wang, Jeeheh Oh, Jenna Wiens

CoRR, 2017