Valeriya Naumova

According to our database, Valeriya Naumova authored at least 19 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

StreaMRAK a streaming multi-resolution adaptive kernel algorithm.

Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger

Appl. Math. Comput., 2022

2021

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm.

Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger

CoRR, 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

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

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Graph Kernel Recursive Least-Squares Algorithms.

Vinay Chakravarthi Gogineni, Valeriya Naumova, Stefan Werner, Yih-Fang Huang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

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

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2019

Linear convergence and support recovery for non-convex multi-penalty regularization.

Zeljko Kereta, Johannes Maly, Valeriya Naumova

CoRR, 2019

Nonlinear generalization of the single index model.

Zeljko Kereta, Timo Klock, Valeriya Naumova

CoRR, 2019

2018

Fast dictionary learning from incomplete data.

Valeriya Naumova, Karin Schnass

EURASIP J. Adv. Signal Process., 2018

A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net.

Ernesto De Vito, Zeljko Kereta, Valeria Naumova

CoRR, 2018

2017

Adaptive multi-penalty regularization based on a generalized Lasso path.

Markus Grasmair, Timo Klock, Valeriya Naumova

CoRR, 2017

Dictionary Learning from Incomplete Data.

Valeriya Naumova, Karin Schnass

CoRR, 2017

Dictionary learning from incomplete data for efficient image restoration.

Valeriya Naumova, Karin Schnass

Proceedings of the 25th European Signal Processing Conference, 2017

2014

Parameter Choice Strategies for Multipenalty Regularization.

Massimo Fornasier, Valeriya Naumova, Sergei V. Pereverzyev

SIAM J. Numer. Anal., 2014

2013

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

2012

A meta-learning approach to the regularized learning - Case study: Blood glucose prediction.

Valeriya Naumova, Sergei V. Pereverzyev, Sivananthan Sivananthan

Neural Networks, 2012

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

2011

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

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011