Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces. - Valeriya Naumova; Sergei V. Pereverzyev; Sivananthan Sampath (CDC/ECC, 2011)

Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology. - Valeriya Naumova; Sergei V. Pereverzyev; Sivananthan Sivananthan (J. Complex., 2012)

A meta-learning approach to the regularized learning - Case study: Blood glucose prediction. - Valeriya Naumova; Sergei V. Pereverzyev; Sivananthan Sivananthan (Neural Networks, 2012)

Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions. - Hrushikesh Narhar Mhaskar; Valeriya Naumova; Sergei V. Pereverzyev (Appl. Math. Comput., 2013)

Parameter Choice Strategies for Multipenalty Regularization. - Massimo Fornasier; Valeriya Naumova; Sergei V. Pereverzyev (SIAM J. Numer. Anal., 2014)

Dictionary learning from incomplete data for efficient image restoration. - Valeriya Naumova; Karin Schnass (EUSIPCO, 2017)

Dictionary Learning from Incomplete Data. - Valeriya Naumova; Karin Schnass (CoRR, 2017)

Adaptive multi-penalty regularization based on a generalized Lasso path. - Markus Grasmair; Timo Klock; Valeriya Naumova (CoRR, 2017)

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net. - Ernesto De Vito; Zeljko Kereta; Valeria Naumova (CoRR, 2018)

Fast dictionary learning from incomplete data. - Valeriya Naumova; Karin Schnass (EURASIP J. Adv. Signal Process., 2018)

Nonlinear generalization of the single index model. - Zeljko Kereta; Timo Klock; Valeriya Naumova (CoRR, 2019)

Linear convergence and support recovery for non-convex multi-penalty regularization. - Zeljko Kereta; Johannes Maly; Valeriya Naumova (CoRR, 2019)

Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (ACSCC, 2021)

Graph Kernel Recursive Least-Squares Algorithms. - Vinay Chakravarthi Gogineni; Valeriya Naumova; Stefan Werner 001; Yih-Fang Huang (APSIPA ASC, 2021)

Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. - Vinay Chakravarthi Gogineni; Severin R. E. Langberg; Valeriya Naumova; Jan F. Nygård; Mari Nygård; Markus Grasmair; Stefan Werner 001 (SSP, 2021)

Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements. - Massimo Fornasier; Johannes Maly; Valeriya Naumova (Appl. Math. Comput., 2021)

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (CoRR, 2021)

StreaMRAK a streaming multi-resolution adaptive kernel algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (Appl. Math. Comput., 2022)

Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. - Geir Severin R. E. Langberg; Mikal Stapnes; Jan F. Nygård; Mari Nygård; Markus Grasmair; Valeriya Naumova (BMC Bioinform., 2022)