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Dennis L. Barbour
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2020 – today
- 2024
- [j6]Hossana Twinomurinzi, Herman C. Myburgh, Dennis L. Barbour:
Active transfer learning for audiogram estimation. Frontiers Digit. Health 6 (2024) - 2023
- [i2]Robert Kasumba, Dom CP Marticorena, Anja Pahor, Geetha B. Ramani, Imani Goffney, Susanne M. Jaeggi, Aaron R. Seitz, Jacob R. Gardner, Dennis L. Barbour:
Distributional Latent Variable Models with an Application in Active Cognitive Testing. CoRR abs/2312.09316 (2023) - 2022
- [j5]Qinglin Meng, Jing Chen, Changxin Zhang, Jan-Willem A. Wasmann
, Dennis L. Barbour, Fan-Gang Zeng:
Editorial: Digital hearing healthcare. Frontiers Digit. Health 4 (2022) - 2020
- [j4]Brian Chesley
, Dennis L. Barbour
:
Visual Field Estimation by Probabilistic Classification. IEEE J. Biomed. Health Informatics 24(12): 3499-3506 (2020) - [i1]Trevor J. Larsen, Gustavo Malkomes, Dennis L. Barbour:
Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection. CoRR abs/2002.01547 (2020)
2010 – 2019
- 2019
- [j3]Dennis L. Barbour
:
Precision medicine and the cursed dimensions. npj Digit. Medicine 2 (2019) - 2015
- [c2]Jacob R. Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham:
Bayesian Active Model Selection with an Application to Automated Audiometry. NIPS 2015: 2386-2394 - [c1]Jacob R. Gardner, Xinyu Song, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham:
Psychophysical Detection Testing with Bayesian Active Learning. UAI 2015: 286-295 - 2014
- [j2]Drew Benjamin Sinha, Noah M. Ledbetter, Dennis L. Barbour
:
Spike-timing computation properties of a feed-forward neural network model. Frontiers Comput. Neurosci. 8: 5 (2014)
2000 – 2009
- 2009
- [j1]Paul V. Watkins
, Thomas L. Chen, Dennis L. Barbour
:
A computational framework for topographies of cortical areas. Biol. Cybern. 100(3): 231-248 (2009)
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