Valeriya Naumova

Dr Valeriya Naumova

Address:

Simula Research Laboratory AS
Martin Linges 17
Fornebu, Norway

Tel.:

+47 401 02 113

Email:

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Publications

Books

  1. Valeriya Naumova:
    Numerical Methods for Diabetes Technology: Mathematical Algorithms for a Better Management of Type 1 Diabetes,
    LAP LAMBERT Academic Publishing.

Book chapters

  1. Katerina Hlavackova-Schindler, Valeriya Naumova, Sergiy Pereverzyev Jr:
    Granger Causality for Ill-Posed Problems: Ideas, Methods, and Application in Life Sciences
    A. von Eye, and W. Wiedermann (Eds.), Causality and Statistics. Methods for Applied Empirical Research. Hoboken, NJ: Wiley, 2016.
  2. Valeriya Naumova, Lucian Nita, Jens Ulrik Poulsen, Sergey V. Pereverzyev:
    Meta-learning based Blood Glucose Predictor for Diabetic Smartphone App
    Springer Lecture Notes in Bioengineering, 2016.

Refereed journal papers

  1. Markus Grasmair and Valeriya Naumova:
    Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization
    submitted, 2015.
  2. Katerina Hlavackova-Schindler, Valeriya Naumova, Sergiy Pereverzyev Jr:
    Multi-penalty regularization for detecting relevant variables
    submitted, 2015.
  3. Shuai Lu, Valeriya Naumova, Sergey V. Pereverzyev:
    Numerical Differentiation by means of Legendre Polynomials in the presence of Square Summable Noise
    submitted, 2014.
  4. Valeriya Naumova, Steffen Peter:
    Minimization of multi-penalty functionals by alternating iterative thresholding and optimal parameter choices
    Inverse Problems, vol. 30, 125003, 2014, 34 pp.
  5. Massimo Fornasier, Valeriya Naumova, Sergey V. Pereverzyev:
    Parameter Choice Strategies for Multi-Penalty Regularization
    SIAM Journal on Numerical Analysis, vol. 52, 2014, pp. 1770–1794.
  6. Valeriya Naumova, Sergei V. Pereverzyev, Pavlo Tkachenko:
    Regularized collocation for Spherical harmonics Gravitational Field Modeling
    International Journal on Geomathematics, vol. 5, 2014, pp. 81-98.
  7. Hrushikesh N. Mhaskar, Valeriya Naumova, Sergey V. Pereverzyev:
    Filtered Legendre Expansion Method for Numerical Differentiation at the Boundary Point with Application to Blood Glucose Predictions
    Applied Mathematics and Computation, vol. 224, 2013, pp. 835-847.
  8. Valeriya Naumova, Sergey V. Pereverzyev:
    Multi-Penalty Regularization with a Component-Wise Penalization
    Inverse Problems, vol. 29, 075002, 2013, 16pp.
  9. Valeriya Naumova, Sergey V. Pereverzyev:
    Blood Glucose Predictors: an Overview on How Recent Developments Help to Unlock the Problem of Glucose Regulation
    Recent Patents on Computer Science, vol. 5, 2012, pp.1-11.
  10. Shuai Lu, Valeriya Naumova, Sergey V. Pereverzyev:
    Legendre polynomials as a recommended basis for numerical differentiation in the presence of stochastic white noise
    Journal of Inverse and Ill-posed Problems, vol. 20, 2012, pp.1-22.
  11. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    A Meta-Learning Approach to the Regularized Learning – Case Study: Blood Glucose Prediction
    Neural Networks, vol. 33, 2012, pp. 181-193.
  12. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Adaptive parameter choice for one-sided finite difference schemes and its application in diabetes technology
    Journal of Complexity, vol. 28, 2012, pp. 524-538.
  13. Sivananthan Sampath, Valeriya Naumova, Chiara Dalla Man, Andrea Facchinetti, Eric Renard, Claudio Cobelli, and Sergey V. Pereverzyev, :
    Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis
    Diabetes Technol Ther, vol. 13, no. 8, 2011, pp. 787-796.
  14. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Extrapolation in variable RKHSs with application to the blood glucose reading
    Inverse Problems, vol. 27, 075010, 2011, 13 pp.

Conference papers / Research reports

  1. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Learning in variable RKHSs with application to the blood glucose reading
    Dagstuhl Report ``Algorithms and Complexity for Continuous Problems'' (Dagstuhl Seminar 12391) vol. 2, no. 9, 2013, pp. 213–214.
  2. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    A Meta-Learning Approach to the Adaptive Regularization – Case Study: Blood Glucose Prediction
    Mathematisches Forschungsinstitut Oberwolfach, Report No 51/2012, Oberwolfach, Germany.
  3. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Learning in variable RKHSs with application to the blood glucose reading
    Mathematisches Forschungsinstitut Oberwolfach, Report No 51/2012, Oberwolfach, Germany.
  4. Shuai Lu, Valeriya Naumova, Sergey V. Pereverzyev:
    Numerical Differentiation by means of Legendre Polynomials in the presence of Square Summable Noise
    RICAM Report No 2012-15, April 2012.
  5. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Regularization in variable RKHSs with application to the blood glucose reading
    Mathematisches Forschungsinstitut Oberwolfach, Report No 31/2012, Oberwolfach, Germany.
  6. Valeriya Naumova, Sergey V. Pereverzyev, Sivananthan Sampath:
    Reading Blood Glucose from Subcutaneous Electric Current by Means of a Regularization in Variable Reproducing Kernel Hilbert Spaces
    Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Fl USA, December 2011, pp. 5158-5163.