MB
Michael C. Burkhart
cs.LGmath.GRstat.MLBrain-Computer Interfacescs.AIDementiahealth informaticsMachine learningmath.COmath.PR
On Valency
published · living versionsW_wyhqv9vz·v1 · currentpublished
Preprints & journals
31 papers in the corpus · 2012–2026Local conjugacy in prosolvable groups2609.37678v1 · Michael C. Burkhart2026 · 0 citationsarXiv
Federated generative event models for tokenized electronic health records2608.02939v1 · Michael C. Burkhart, Luke Solo, Inhyeok Lee et al.2026 · 0 citationsarXiv
Representation Before Training: A Practical Benchmark for Generative Medical Event Model Tokenization2604.16775v3 · Inhyeok Lee, Luke Solo, Michael C. Burkhart et al.2026 · 0 citationsarXiv
Efficient Generative Prediction for EHR Foundation Models: The SCOPE and REACH Estimators2602.03730v2 · Luke Solo, Matthew B.A. McDermott, William F. Parker et al.2026 · 0 citationsarXiv
Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models.41758141 · Burkhart, Michael C, Ramadan, Bashar, Solo, Luke et al.2026 · 0 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2026;31:173-188
Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs.41758177 · Sethi, Sahil, Chen, David, Burkhart, Michael C et al.2026 · 2 citationsPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2026;31:679-693
Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes.41632159 · Ramadan, Bashar, Liu, Ming-Chieh, Burkhart, Michael C et al.2026 · 21 citationsJAMA network open. 2025;8(12):e2550454
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning.40395940 · Sethi, Sahil, Chen, David, Statchen, Thomas et al.2025 · 1 citationArXiv. 2025
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning.41394314 · Sethi, Sahil, Chen, David, Statchen, Thomas et al.2026 · 0 citationsProceedings of machine learning research. 2025;298
Synthetic data distillation enables the extraction of clinical information at scale.40348936 · Woo, Elizabeth Geena, Burkhart, Michael C, Alsentzer, Emily et al.2026 · 11 citationsNPJ digital medicine. 2025;8(1):267
Foundation models for electronic health records: representation dynamics and transferability2504.10422v1 · Michael C. Burkhart, Bashar Ramadan, Zewei Liao et al.2025 · 0 citationsarXiv
Actions of nilpotent groups on nilpotent groups2501.16941v1 · Michael C. Burkhart2025 · 0 citationsGlasgow Math. J. 67 (2025) 228-231
Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings.39764178 · Lee, Liz Yuanxi, Vaghari, Delshad, Burkhart, Michael C et al.2026 · 47 citationsEClinicalMedicine. 2024;74:102725
Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction.38729989 · Burkhart, Michael C, Lee, Liz Y, Vaghari, Delshad et al.2024 · 9 citationsScientific reports. 2024;14(1):10755
Fixed point conditions for non-coprime actions2308.12286v1 · Michael C. Burkhart2023 · 0 citationsProceedings of the Royal Society of Edinburgh: Section A Mathematics 155 (2025) 345-351
Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review.37563912 · Borchert, Robin J, Azevedo, Tiago, Badhwar, AmanPreet et al.2023 · 123 citationsAlzheimer's & dementia : the journal of the Alzheimer's Association. 2023;19(12):5885-5904
Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.37593075 · Li, Rui, Harshfield, Eric L, Bell, Steven et al.2023 · 11 citationsCerebral circulation - cognition and behavior. 2023;5:100179
Safe AI for health and beyond -- Monitoring to transform a health service2303.01513v3 · Mahed Abroshan, Michael Burkhart, Oscar Giles et al.2023 · 0 citationsarXiv
Conjugacy conditions for supersoluble complements of an abelian base and a fixed point result for non-coprime actions2211.16616v2 · Michael C. Burkhart2022 · 1 citationProceedings of the Edinburgh Mathematical Society 65 (2022) 1075-1079
Deep Low-Density Separation for Semi-Supervised Classification2205.11995v1 · Michael C. Burkhart, Kyle Shan2022 · 6 citationsComputational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part III, pp. 297-311
Neuroevolutionary Feature Representations for Causal Inference2205.10541v1 · Michael C. Burkhart, Gabriel Ruiz2022 · 1 citationComputational Science - ICCS 2022: 22nd International Conference, London, United Kingdom, June 21-23, 2022, Proceedings, Part II, pp. 3-10
Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic review10.1101/2021.12.12.21267677v1 · Borchert, R. J., Azevedo, T., Badhwar, A. et al.2021 · 17 citationsmedRxiv
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions2104.12949v3 · Michael C. Burkhart2021 · 0 citationsOptimization Letters 17 (2023) 657-673
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models.32187000 · Burkhart, Michael C, Brandman, David M, Franco, Brian et al.2021 · 22 citationsNeural computation. 2020;32(5):969-1017
The Herzog-Schönheim conjecture for solvable groups1901.10131v2 · Michael C. Burkhart2019 · 0 citationsarXiv
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.30216140 · Brandman, David M, Burkhart, Michael C, Kelemen, Jessica et al.2020 · 24 citationsNeural computation. 2018;30(11):2986-3008
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding1807.06173v1 · Michael C. Burkhart2018 · 0 citationsarXiv
Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.29363625 · Brandman, David M, Hosman, Tommy, Saab, Jad et al.2019 · 154 citationsJournal of neural engineering. 2018;15(2):026007
The discriminative Kalman filter for nonlinear and non-Gaussian sequential Bayesian filtering1608.06622v2 · Michael C. Burkhart, David M. Brandman, Carlos E. Vargas-Irwin et al.2016 · 6 citationsarXiv
Conditional Probabilities of Multivariate Poisson Distributions1209.4957v1 · Michael C. Burkhart2012 · 2 citationsarXiv
Linear Transformations & the Multivariate Generating Function1209.3357v1 · Michael C. Burkhart2012 · 0 citationsarXiv
Career total: 53 works. 31 are in this corpus.
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