Valeriya Naumova

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results.
BMC Bioinform.
Geir Severin R. E. Langberg, Mikal Stapnes, Jan F. Nygård, Mari Nygård, Markus Grasmair, Valeriya Naumova
2022 J jnl
StreaMRAK a streaming multi-resolution adaptive kernel algorithm.
Appl. Math. Comput.
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2021 — conf
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective.
SSP
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2021 — conf
Graph Kernel Recursive Least-Squares Algorithms.
APSIPA ASC
Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang
2021 — conf
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction.
ACSCC
Vinay Chakravarthi Gogineni, Severin R. E. Langberg, Valeriya Naumova, Jan F. Nygård, Mari Nygård, Markus Grasmair, Stefan Werner
2021 J jnl
Robust recovery of low-rank matrices with non-orthogonal sparse decomposition from incomplete measurements.
Appl. Math. Comput.
Massimo Fornasier, Johannes Maly, Valeriya Naumova
2021 J jnl
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm.
CoRR
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2019 J jnl
Linear convergence and support recovery for non-convex multi-penalty regularization.
CoRR
Zeljko Kereta, Johannes Maly, Valeriya Naumova
2019 J jnl
Nonlinear generalization of the single index model.
CoRR
Zeljko Kereta, Timo Klock, Valeriya Naumova
2018 J jnl
Fast dictionary learning from incomplete data.
EURASIP J. Adv. Signal Process.
Valeriya Naumova, Karin Schnass
2017 J jnl
Adaptive multi-penalty regularization based on a generalized Lasso path.
CoRR
Markus Grasmair, Timo Klock, Valeriya Naumova
2017 J jnl
Dictionary Learning from Incomplete Data.
CoRR
Valeriya Naumova, Karin Schnass
2017 — conf
Dictionary learning from incomplete data for efficient image restoration.
EUSIPCO
Valeriya Naumova, Karin Schnass
2014 J jnl
Parameter Choice Strategies for Multipenalty Regularization.
SIAM J. Numer. Anal.
Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev
2013 J jnl
Filtered Legendre expansion method for numerical differentiation at the boundary point with application to blood glucose predictions.
Appl. Math. Comput.
Hrushikesh Narhar Mhaskar, Valeriya Naumova, Sergei V. Pereverzyev
2012 J jnl
A meta-learning approach to the regularized learning - Case study: Blood glucose prediction.
Neural Networks
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan
2012 J jnl
Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology.
J. Complex.
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan
2011 — conf
Reading blood glucose from subcutaneous electric current by means of a regularization in variable Reproducing Kernel Hilbert Spaces.
CDC/ECC
Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sampath