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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.
Linear convergence and support recovery for non-convex multi-penalty regularization." IEEE TRANSACTIONS ON SIGNAL PROCESSING (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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A-T-LAS2,1: A Multi-Penalty Approach to Compressed Sensing of Low-Rank Matrices with Sparse Decompositions." IEEE Transactions on Information Theory (2018).
1801.06240-2.pdf (1.53 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.
A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net." arXiv (2018).
1809.08696.pdf (1.75 MB)
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A machine learning approach for adaptive parameter selection In University of Oslo, Norway., 2018.
A machine learning approach to optimal regularization In European Women in Mathematics, Graz, Austria., 2018.
A machine learning approach to optimal regularization: Affine Manifolds In NTNU, Norway., 2018.
ntnu.pdf (2.91 MB)

Multi-parameter regularization for solving inverse problems of unmixing type In University of Cambridge, UK., 2018.
naumovapresentation1.pdf (2.39 MB)

Nonlinear estimation of single index models In Nonlinear Data: Theory and Algorithms Oberwolfach., 2018.
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Advanced statistics and data analysis for blood glucose prediction and diabetes In Universitäres Herzzentrum Hamburg, Germany., 2017.