Dennis L. Barbour

According to our database, Dennis L. Barbour authored at least 13 papers between 2009 and 2025.

Collaborative distances:

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

2025

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

IEEE Trans. Cogn. Dev. Syst., October, 2025

Bayesian Distributional Models of Executive Functioning.

Robert Kasumba, Zeyu Lu, Dom CP Marticorena, Mingyang Zhong, Paul Beggs, Anja Pahor, Geetha B. Ramani, Imani Goffney, Susanne M. Jaeggi, Aaron R. Seitz, Jacob R. Gardner, Dennis L. Barbour

CoRR, October, 2025

Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance.

Dom CP Marticorena, Chris Wissmann, Zeyu Lu, Dennis L. Barbour

CoRR, October, 2025

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, February, 2025

2024

Active transfer learning for audiogram estimation.

Hossana Twinomurinzi, Herman C. Myburgh, Dennis L. Barbour

Frontiers Digit. Health, 2024

2022

Editorial: Digital hearing healthcare.

Qinglin Meng, Jing Chen, Changxin Zhang, Jan-Willem A. Wasmann, Dennis L. Barbour, Fan-Gang Zeng

Frontiers Digit. Health, 2022

2020

Visual Field Estimation by Probabilistic Classification.

Brian Chesley, Dennis L. Barbour

IEEE J. Biomed. Health Informatics, 2020

Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection.

Trevor J. Larsen, Gustavo Malkomes, Dennis L. Barbour

CoRR, 2020

2019

Precision medicine and the cursed dimensions.

Dennis L. Barbour

npj Digit. Medicine, 2019

2015

Psychophysical Detection Testing with Bayesian Active Learning.

Jacob R. Gardner, Xinyu Song, Kilian Q. Weinberger, Dennis L. Barbour, John P. Cunningham

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

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

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Spike-timing computation properties of a feed-forward neural network model.

Drew Benjamin Sinha, Noah M. Ledbetter, Dennis L. Barbour

Frontiers Comput. Neurosci., 2014

2009

A computational framework for topographies of cortical areas.

Paul V. Watkins, Thomas L. Chen, Dennis L. Barbour

Biol. Cybern., 2009