A computational framework for topographies of cortical areas. - Paul V. Watkins; Thomas L. Chen; Dennis L. Barbour (Biol. Cybern., 2009)

Spike-timing computation properties of a feed-forward neural network model. - Drew Benjamin Sinha; Noah M. Ledbetter; Dennis L. Barbour (Frontiers Comput. Neurosci., 2014)

Bayesian Active Model Selection with an Application to Automated Audiometry. - Jacob R. Gardner; Gustavo Malkomes; Roman Garnett; Kilian Q. Weinberger; Dennis L. Barbour; John P. Cunningham (NIPS, 2015)

Psychophysical Detection Testing with Bayesian Active Learning. - Jacob R. Gardner; Xinyu Song; Kilian Q. Weinberger; Dennis L. Barbour; John P. Cunningham (UAI, 2015)

Precision medicine and the cursed dimensions. - Dennis L. Barbour (npj Digit. Medicine, 2019)

Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection. - Trevor J. Larsen; Gustavo Malkomes; Dennis L. Barbour (CoRR, 2020)

Visual Field Estimation by Probabilistic Classification. - Brian Chesley; Dennis L. Barbour (IEEE J. Biomed. Health Informatics, 2020)

Editorial: Digital hearing healthcare. - Qinglin Meng; Jing Chen; Changxin Zhang; Jan-Willem A. Wasmann; Dennis L. Barbour; Fan-Gang Zeng (Frontiers Digit. Health, 2022)

Distributional Latent Variable Models with an Application in Active Cognitive Testing. - Robert Kasumba; Dom CP Marticorena; Anja Pahor; Geetha B. Ramani; Imani Goffney; Susanne M. Jaeggi; Aaron R. Seitz; Jacob R. Gardner; Dennis L. Barbour (CoRR, 2023)

Active transfer learning for audiogram estimation. - Hossana Twinomurinzi; Herman C. Myburgh; Dennis L. Barbour (Frontiers Digit. Health, 2024)

Immersive virtual games: winners for deep cognitive assessment. - Dom CP Marticorena; Zeyu Lu; Chris Wissmann; Yash Agarwal; David Garrison; John M. Zempel; Dennis L. Barbour (CoRR, 2025)