Selected Publications
S Xu, Z Bu, P Chaudhari, I Barnett: Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Aug 2023 Notes: Accepted, in press.
Luong, N., Barnett, I., and Aledavood, T.: The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association Jul 2023 Notes: In press.
Huggins, J., Barnett, I., and David, M.: Effects of Antimicrobial Therapy Duration and Class on Risk of Antimicrobial-Resistant Gram-negative Bacillus Bloodstream Infection in Patients with AML. Transplant Infectious Disease Jul 2023 Notes: In press.
R Ghosh, I Barnett: Selecting a significance level in sequential testing procedures for community detection. Applied Network Science Jun 2023 Notes: In press. arXiv:2209.07648.
Barnett, I.: Non-asymptotic inference for multivariate change point detection. arXiv:2304.04644 Apr 2023.
Ren, B. and Barnett, I.: Combining Mixed Effects Hidden Markov Models with Latent Alternating Recurrent Event Processes to Model Diurnal Active-Rest Cycles. Biometrics Apr 2023 Notes: In press. https://doi.org/10.1111/biom.13865.
Ren, B., Morris, J., and Barnett, I.: Analysis of block slice samplers for Bayesian GLMMs and GAMs with linear inequality and shape constraints. arXiv:2212.07400 Feb 2023.
Ghosh, R.P., Onnela, J.P., and Barnett, I.: A Generalized Estimating Equation Approach to Network Regression. arXiv:2301.04804 Jan 2023.
Corwin DJ, Mandel F, McDonald CC, Mohammed FN, Margulies S, Barnett I, Arbogast KB, Master CL: Maximizing accuracy of adolescent concussion diagnosis using individual elements of common standardized clinical assessment tools. Journal of Athletic Training Jan 2023 Notes: Online only. DOI: 10.4085/1062-6050-0020.22.
Mandel, F. and Barnett, I.: Permutation-based Hypothesis Testing for Neural Networks. arXiv:2301.11354 Jan 2023.
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Last updated: 08/31/2023
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