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of 3
pro vyhledávání: '"Reisler, Julia"'
Autor:
Chen, Emma, Kansal, Aman, Chen, Julie, Jin, Boyang Tom, Reisler, Julia Rachel, Kim, David A, Rajpurkar, Pranav
We propose the Multimodal Clinical Benchmark for Emergency Care (MC-BEC), a comprehensive benchmark for evaluating foundation models in Emergency Medicine using a dataset of 100K+ continuously monitored Emergency Department visits from 2020-2022. MC-
Externí odkaz:
http://arxiv.org/abs/2311.04937
Autor:
Mussmann, Stephen, Reisler, Julia, Tsai, Daniel, Mousavi, Ehsan, O'Brien, Shayne, Goldszmidt, Moises
Active learning has been studied extensively as a method for efficient data collection. Among the many approaches in literature, Expected Error Reduction (EER) (Roy and McCallum) has been shown to be an effective method for active learning: select th
Externí odkaz:
http://arxiv.org/abs/2211.09283
Autor:
Longpre, Shayne, Reisler, Julia, Huang, Edward Greg, Lu, Yi, Frank, Andrew, Ramesh, Nikhil, DuBois, Chris
Studies of active learning traditionally assume the target and source data stem from a single domain. However, in realistic applications, practitioners often require active learning with multiple sources of out-of-distribution data, where it is uncle
Externí odkaz:
http://arxiv.org/abs/2202.00254