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2020 – today
- 2024
[j3]Christopher Qian
, Tyler Ganter, Joshua Michalenko, Feng Liang, Jason Adams:
Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain. Stat. Anal. Data Min. 17(5) (2024)- 2023
- [i2]Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams:
Comparing the quality of neural network uncertainty estimates for classification problems. CoRR abs/2308.05903 (2023) - [i1]Daniel Ries, Jason Adams, Joshua Zollweg:
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks. CoRR abs/2308.06293 (2023) - 2022
- [c2]Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams:
Comparing the quality of neural network uncertainty estimates for classification problems. ICMLA 2022: 226-233
2010 – 2019
- 2018
- [j2]Shadi Emam, Adedokun Adedoyin, Xiaohua Geng, Mohsen Zaeimbashi, Jason Adams, Adam Ekenseair, Elizabeth Podlaha-Murphy, Nian Xiang Sun:
A Molecularly Imprinted Electrochemical Gas Sensor to Sense Butylated Hydroxytoluene in Air. J. Sensors 2018: 3437149:1-3437149:9 (2018) - 2014
- [j1]Eren Gultepe, Jeffrey P. Green, Hien Nguyen, Jason Adams, Timothy E. Albertson, Ilias Tagkopoulos:
From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system. J. Am. Medical Informatics Assoc. 21(2): 315-325 (2014)
2000 – 2009
- 2006
- [c1]Sungbok Lee, Erik Bresch, Jason Adams, Abe Kazemzadeh, Shrikanth S. Narayanan:
A study of emotional speech articulation using a fast magnetic resonance imaging technique. INTERSPEECH 2006
Coauthor Index
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