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Data aggregation and anonymization for mathematical modeling and epidemiological studies." In Smittestopp - A Case Study on Digital Contact Tracing, edited by A. Elmokashfi, O. Lysne and V. Naumova, 121-141. Vol. 11. Cham: Springer International Publishing, 2022.
"Digital tracing, validation, and reporting." In Smittestopp − A Case Study on Digital Contact Tracing, edited by A. Elmokashfi, O. Lysne and V. Naumova, 99-120. Vol. 11. Cham: Springer International Publishing, 2022.
"Digital tracing, validation, and reporting." In Smittestopp − A Case Study on Digital Contact Tracing, edited by A. Elmokashfi, O. Lysne and V. Naumova, 99-120. Vol. 11. Cham: Springer International Publishing, 2022.
"Smittestopp − A Case Study on Digital Contact Tracing In Simula SpringerBriefs on Computing. Vol. 11. Cham: Springer Nature, 2022.
Computational approaches to non-convex, sparsity-inducing multi-penalty regularization." Inverse Problems 37, no. 5 (2021): 055008.
"Data-driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective In IEEE Statistical Signal Processing Workshop 2021. IEEE, 2021.
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing." Nature Communications 12 (2021).
"Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements." Applied Mathematics and Computation 392 (2021): 125702.
1801.06240-2.pdf (1.53 MB)
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A machine learning approach to optimal Tikhonov regularization I: Affine manifolds." Analysis and Applications (2020).
learning_parameter.pdf (472.12 KB)
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Automated and objective segmentation of medical image using machine learning techniques: all models are wrong, but some are useful In Computational and Mathematical Biomedical Engineering. Sendai, Japan: CMBE, 2019.
no_pdf_yet.docx (21.56 KB)

Automated parameter estimation for selected inverse problems In Grenoble, France., 2019.
A Combined In-Silico and Machine Learning Approach towards Predicting Arrhythmic Risk in Post-Infarction Patients In Computing in Cardiology, Singapore., 2019.
Covariance and precision matrix estimation, and dimension reduction in regression problems In Oslo, Norway., 2019.
Linear convergence and support recovery for non-convex multi-penalty regularization. SPARS 2019, Toulouse, France, 2019.
Monte Carlo wavelets: a randomized approach to frame discretization In Sampling Theory and Applications. IEEE, 2019.
Nonlinear generalization of the monotone single index model." Information and Inference (2019).
"Towards nonlinear sufficient dimension reduction In AIP conference, Grenoble, France., 2019.
Unsupervised parameter selection for denoising with the elastic net." Machine Learning (2019).
"Unsupervised Parameter Selection in Variational Regularization. SPARS 2019, Toulouse, France, 2019.
Adaptive multi-penalty regularization based on a generalized Lasso path." Applied and Computational Harmonic Analysis (2018).
arxiv_paper.pdf (1.86 MB)
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Fast Dictionary Learning from Incomplete Data." EURASIP Journal on Advances in Signal Processing 2018, no. 1 (2018): 12.
naumova_et_al-2018-eurasip_journal_on_advances_in_signal_processing.pdf (2.27 MB)
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A geometrical approach for nonlinear single-index model estimation. ICML Workshop Stockholm, 2018.
High-dimensional function learning on curves. Cambridge, UK, 2018.
Inference and estimation for nonlinear single index models. Machine Learning Summer School Spain, 2018.
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