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Michael C. Burkhart
Michael C. Burkhart
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Rapid calibration of an intracortical brain–computer interface for people with tetraplegia
DM Brandman, T Hosman, J Saab, MC Burkhart, BE Shanahan, ...
Journal of neural engineering 15 (2), 026007, 2018
1222018
Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach
MC Burkhart, Y Heo, VM Zavala
Energy and Buildings 75, 189-198, 2014
742014
The discriminative Kalman filter for Bayesian filtering with nonlinear and nongaussian observation models
MC Burkhart, DM Brandman, B Franco, LR Hochberg, MT Harrison
Neural computation 32 (5), 969-1017, 2020
27*2020
Robust closed-loop control of a cursor in a person with tetraplegia using Gaussian process regression
DM Brandman, MC Burkhart, J Kelemen, B Franco, MT Harrison, ...
Neural computation 30 (11), 2986-3008, 2018
242018
Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic review
R Borchert, T Azevedo, A Badhwar, J Bernal, M Betts, R Bruffaerts, ...
medRxiv, 2021.12. 12.21267677, 2021
232021
Deep Low-Density Separation for Semi-Supervised Classification
MC Burkhart, K Shan
International Conference on Computational Science, 297-311, 2020
92020
User classification from data via deep segmentation for semi-supervised learning
M Burkhart, K Shan
US Patent 11,455,518, 2022
62022
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
MC Burkhart
Brown University, 2019
62019
Neuroevolutionary Feature Representations for Causal Inference
MC Burkhart, G Ruiz
International Conference on Computational Science, 3-10, 2022
22022
Linear Transformations & the Multivariate Generating Function
MC Burkhart
arXiv preprint arXiv:1209.3357, 2012
22012
Mercurial signatures implementation. Github (2020)
M Burkhart
2
Causal inference via neuroevolutionary selection
MC Burkhart, G Ruiz
US Patent App. 17/748,891, 2023
12023
Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models
R Li, EL Harshfield, S Bell, M Burkhart, AM Tuladhar, S Hilal, DJ Tozer, ...
Cerebral Circulation-Cognition and Behavior 5, 100179, 2023
12023
Conjugacy conditions for supersoluble complements of an abelian base and a fixed point result for non-coprime actions
MC Burkhart
Proceedings of the Edinburgh Mathematical Society 65 (4), 1075-1079, 2022
12022
Determining Adaptive Loss Functions and Algorithms for Predictive Models
MC Burkhart, K Modarresi
International Conference on Computational Science, 595-607, 2019
12019
Conditional Probabilities of Multivariate Poisson Distributions
MC Burkhart
arXiv preprint arXiv:1209.4957, 2012
12012
AI‐guided patient stratification for neurodegenerative disorders using unsupervised trajectory modelling
MC Burkhart, LY Lee, D Vaghari, J Venton, S Thomas, N Smith, ...
Alzheimer's & Dementia 19, e074696, 2023
2023
Validating the clinical utility of AI‐guided tools for early dementia prediction
D Vaghari, LY Lee, MC Burkhart, M Montagnese, K Zuhlsdorff, J Giorgio, ...
Alzheimer's & Dementia 19, e074628, 2023
2023
Digital Experience Enhancement Using An Ensemble Deep Learning Model
MC Burkhart, K Modarresi
US Patent 11,816,562, 2023
2023
Fixed point conditions for non-coprime actions
MC Burkhart
Proceedings of the Royal Society of Edinburgh Section A: Mathematics, 1-7, 2023
2023
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