Остановите войну!
for scientists:
default search action
Maria V. Kulikova
Person information
- affiliation: Universidade de Lisboa
- unicode name: Мария В. Куликова
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j43]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations. Eur. J. Control 76: 100960 (2024) - [j42]Gennady Y. Kulikov, Maria V. Kulikova:
NIRK-based mixed-type accurate continuous-discrete Gaussian filters with deterministically sampled expectation and covariance for state estimation in continuous-time stochastic process models with discrete measurements. J. Frankl. Inst. 361(7): 106768 (2024) - [j41]Maria V. Kulikova, Gennady Yu. Kulikov:
Euler-Maruyama-Based Data-Driven State Restoration and Parameter Adaptation in Stochastic Neural Fields With Finite Signal Transmission Rate. IEEE Trans. Inf. Theory 70(6): 4571-4581 (2024) - [i11]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete derivative-free extended Kalman filter based on Euler-Maruyama and Itô-Taylor discretizations: Conventional and square-root implementations. CoRR abs/2403.04448 (2024) - 2023
- [j40]Maria V. Kulikova, Gennady Yu. Kulikov:
Data-driven parameter estimation in stochastic dynamic neural fields by state-space approach and continuous-discrete extended Kalman filtering. Digit. Signal Process. 136: 104010 (2023) - [j39]Maria V. Kulikova, Gennady Yu. Kulikov:
On derivative-free extended Kalman filtering and its Matlab-oriented square-root implementations for state estimation in continuous-discrete nonlinear stochastic systems. Eur. J. Control 73: 100886 (2023) - [j38]Gennady Y. Kulikov, Maria V. Kulikova:
Accuracy analysis of numerical simulations and noisy data assimilations in two-dimensional stochastic neural fields with infinite signal transmission speed. J. Frankl. Inst. 360(1): 176-202 (2023) - [i10]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods. CoRR abs/2310.04126 (2023) - [i9]Maria V. Kulikova:
One-step condensed forms for square-root maximum correntropy criterion Kalman filtering. CoRR abs/2310.18750 (2023) - [i8]Maria V. Kulikova:
On the stable Cholesky factorization-based method for the maximum correntropy criterion Kalman filtering. CoRR abs/2311.02438 (2023) - [i7]Maria V. Kulikova:
Factored-form Kalman-like implementations under maximum correntropy criterion. CoRR abs/2311.02440 (2023) - 2022
- [j37]Maria V. Kulikova, Gennady Yu. Kulikov:
Continuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methods. Autom. 142: 110396 (2022) - [j36]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Sequential method for fast neural population activity reconstruction in the cortex from incomplete noisy measurements. Comput. Biol. Medicine 141: 105103 (2022) - [j35]Maria V. Kulikova, Gennady Yu. Kulikov:
Estimation of market efficiency process within time-varying autoregressive models by extended Kalman filtering approach. Digit. Signal Process. 128: 103619 (2022) - [j34]Gennady Yu. Kulikov, Maria Vyacheslavovna Kulikova:
Overall hyperbolic-singular-value-decomposition-based square-root solutions in Kalman filters with deterministically sampled mean and covariance for state estimation in continuous-discrete nonlinear stochastic systems. Eur. J. Control 66: 100648 (2022) - [j33]Gennady Yu. Kulikov, Maria V. Kulikova:
Hyperbolic-SVD-Based Square-Root Unscented Kalman Filters in Continuous-Discrete Target Tracking Scenarios. IEEE Trans. Autom. Control. 67(1): 366-373 (2022) - [c25]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Pattern Recognition Facilities of Extended Kalman Filtering in Stochastic Neural Fields. ECC 2022: 1061-1066 - [c24]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Accurate Itô-Taylor-Discretization-Based State Estimation in Stochastic Neural Field Equations with Infinite Signal Transmission Rate. ECC 2022: 1436-1441 - 2021
- [j32]Gennady Yu. Kulikov, Maria V. Kulikova:
Ito^-Taylor-based square-root unscented Kalman filtering methods for state estimation in nonlinear continuous-discrete stochastic systems. Eur. J. Control 58: 101-113 (2021) - [j31]Maria V. Kulikova, Gennady Y. Kulikov:
MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods. Eur. J. Control 59: 1-12 (2021) - [j30]Gennady Yu. Kulikov, Maria Vyacheslavovna Kulikova:
Square-root high-degree cubature Kalman filters for state estimation in nonlinear continuous-discrete stochastic systems. Eur. J. Control 59: 58-68 (2021) - [j29]Maria V. Kulikova, Julia V. Tsyganova, Gennady Yu. Kulikov:
SVD-based state and parameter estimation approach for generalized Kalman filtering with application to GARCH-in-Mean estimation. J. Comput. Appl. Math. 387: 112487 (2021) - [j28]Gennady Yu. Kulikov, Pedro Miguel Lima, Maria V. Kulikova:
Numerical solution of the neural field equation in the presence of random disturbance. J. Comput. Appl. Math. 387: 112563 (2021) - [c23]Gennady Yu. Kulikov, Maria V. Kulikova:
Self-Adaptive MATLAB-Based Gauss-Hermite Quadrature Filter for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems. ECC 2021: 848-853 - [c22]Maria V. Kulikova, Pedro Miguel Lima, Gennady Yu. Kulikov:
Reconstruction of Hidden States in Stochastic Neural Field Equations with Infinite Signal Transmission Rate. ICSTCC 2021: 358-365 - [c21]Maria V. Kulikova, David R. Taylor, Gennady Yu. Kulikov:
Estimating a degree of evolving market efficiency: How efficient is the Romanian stock market? ICSTCC 2021: 665-670 - 2020
- [j27]Maria V. Kulikova, Gennady Yu. Kulikov:
SVD-based factored-form Cubature Kalman Filtering for continuous-time stochastic systems with discrete measurements. Autom. 120: 109110 (2020) - [j26]Julia V. Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov:
A general approach for designing the MWGS-based information-form Kalman filtering methods. Eur. J. Control 56: 86-97 (2020) - [j25]Gennady Y. Kulikov, Maria V. Kulikova:
Square-root accurate continuous-discrete extended-unscented Kalman filtering methods with embedded orthogonal and J-orthogonal QR decompositions for estimation of nonlinear continuous-time stochastic models in radar tracking. Signal Process. 166 (2020) - [j24]Maria V. Kulikova:
Chandrasekhar-Based Maximum Correntropy Kalman Filtering With the Adaptive Kernel Size Selection. IEEE Trans. Autom. Control. 65(2): 741-748 (2020) - [j23]Maria V. Kulikova, Julia V. Tsyganova, Gennady Yu. Kulikov:
UD-Based Pairwise and MIMO Kalman-Like Filtering for Estimation of Econometric Model Structures. IEEE Trans. Autom. Control. 65(10): 4472-4479 (2020) - [c20]Maria V. Kulikova, Julia V. Tsyganova:
Numerically Robust Maximum Correntropy Criterion Kalman Filtering Using the UD Covariance Factorization Approach. ECC 2020: 1383-1388 - [c19]Maria V. Kulikova, Gennady Yu. Kulikov, Pedro Miguel Lima:
Accuracy Study in Numerical Simulations to Stochastic Neural Field Equations. ICSTCC 2020: 254-261
2010 – 2019
- 2019
- [j22]Maria V. Kulikova:
Factored-form Kalman-like implementations under maximum correntropy criterion. Signal Process. 160: 328-338 (2019) - [j21]Maria V. Kulikova:
Square-Root Approach for Chandrasekhar-Based Maximum Correntropy Kalman Filtering. IEEE Signal Process. Lett. 26(12): 1803-1807 (2019) - [c18]Gennady Yu. Kulikov, Maria V. Kulikova:
The J-Orthogonal Square-Root NIRK-Based Extended-Unscented Kalman Filter for Nonlinear Continuous-Discrete Stochastic Systems. CDC 2019: 373-378 - [c17]Julia V. Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov:
Some New Array Information Formulations of the UD-based Kalman Filter. ECC 2019: 1872-1877 - [c16]Maria V. Kulikova:
One-Step Condensed Forms for Square-Root Maximum Correntropy Criterion Kalman Filtering. ICSTCC 2019: 13-18 - [c15]Gennady Yu. Kulikov, Maria V. Kulikova:
SVD-Based Factored-Form Extended Kalman Filters for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems. ICSTCC 2019: 137-142 - [c14]Gennady Yu. Kulikov, Maria V. Kulikova, Pedro Miguel Lima:
Numerical Simulation of Neural Fields with Finite Transmission Speed and Random Disturbance. ICSTCC 2019: 644-649 - [c13]Maria V. Kulikova, Gennady Yu. Kulikov, Pedro Miguel Lima:
Effective Numerical Solution to Two-Dimensional Stochastic Neural Field Equations. ICSTCC 2019: 650-655 - 2018
- [j20]Gennady Yu. Kulikov, Maria V. Kulikova:
Stability analysis of Extended, Cubature and Unscented Kalman Filters for estimating stiff continuous-discrete stochastic systems. Autom. 90: 91-97 (2018) - [j19]Gennady Y. Kulikov, Maria V. Kulikova:
Estimation of maneuvering target in the presence of non-Gaussian noise: A coordinated turn case study. Signal Process. 145: 241-257 (2018) - 2017
- [j18]Maria V. Kulikova, Gennady Y. Kulikov:
NIRK-based accurate continuous-discrete extended Kalman filters for estimating continuous-time stochastic target tracking models. J. Comput. Appl. Math. 316: 260-270 (2017) - [j17]Gennady Y. Kulikov, Maria V. Kulikova:
Accurate state estimation of stiff continuous-time stochastic models in chemical and other engineering. Math. Comput. Simul. 142: 62-81 (2017) - [j16]Maria V. Kulikova:
Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise. Syst. Control. Lett. 108: 8-15 (2017) - [j15]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate continuous-discrete unscented Kalman filtering for estimation of nonlinear continuous-time stochastic models in radar tracking. Signal Process. 139: 25-35 (2017) - [j14]Maria V. Kulikova:
Gradient-Based Parameter Estimation in Pairwise Linear Gaussian System. IEEE Trans. Autom. Control. 62(3): 1511-1517 (2017) - [j13]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate State Estimation in Continuous-Discrete Stochastic State-Space Systems With Nonlinear or Nondifferentiable Observations. IEEE Trans. Autom. Control. 62(8): 4243-4250 (2017) - [j12]Julia V. Tsyganova, Maria V. Kulikova:
SVD-Based Kalman Filter Derivative Computation. IEEE Trans. Autom. Control. 62(9): 4869-4875 (2017) - 2016
- [j11]Maria V. Kulikova, Julia Tsyganova:
A unified square-root approach for the score and Fisher information matrix computation in linear dynamic systems. Math. Comput. Simul. 119: 128-141 (2016) - [j10]Gennady Y. Kulikov, Maria V. Kulikova:
Estimating the State in Stiff Continuous-Time Stochastic Systems within Extended Kalman Filtering. SIAM J. Sci. Comput. 38(6) (2016) - [j9]Gennady Yu. Kulikov, Maria V. Kulikova:
The Accurate Continuous-Discrete Extended Kalman Filter for Radar Tracking. IEEE Trans. Signal Process. 64(4): 948-958 (2016) - [c12]Maria V. Kulikova, Julia V. Tsyganova, Innokentiy V. Semushin:
Adaptive wave filtering for marine vessels within UD-based algorithms. ECC 2016: 807-812 - [c11]Maria V. Kulikova, Gennady Yu. Kulikov:
On computational robustness of accurate continuous-discrete unscented Kalman filtering for target tracking models. ECC 2016: 1129-1134 - [c10]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate continuous-discrete extended Kalman filtering for stiff continuous-time stochastic models in chemical engineering. ECC 2016: 1728-1733 - [c9]Innokentiy V. Semushin, Julia Tsyganova, Maria V. Kulikova, Andrey V. Tsyganov, Andrey Peskov:
Identification of human body daily temperature dynamics via minimum state prediction error method. ECC 2016: 2429-2434 - [i6]Gennady Yu. Kulikov, Maria V. Kulikova:
Do the Contemporary Cubature and Unscented Kalman Filtering Methods Outperform Always the Traditional Extended Kalman Filter? CoRR abs/1604.04498 (2016) - [i5]Maria V. Kulikova:
Likelihood Gradient Evaluation Using Square-Root Covariance Filters. CoRR abs/1605.06654 (2016) - [i4]Maria V. Kulikova:
Square-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noise. CoRR abs/1610.00257 (2016) - [i3]Maria V. Kulikova, Julia V. Tsyganova:
Improved Discrete-Time Kalman Filtering within Singular Value Decomposition. CoRR abs/1611.03686 (2016) - [i2]Julia V. Tsyganova, Maria V. Kulikova:
State Sensitivity Evaluation Within UD Based Array Covariance Filters. CoRR abs/1611.08273 (2016) - [i1]Julia V. Tsyganova, Maria V. Kulikova:
SVD-based Kalman Filter Derivative Computation. CoRR abs/1612.04777 (2016) - 2015
- [j8]Gennady Yu. Kulikov, Maria V. Kulikova:
High-order accurate continuous-discrete extended Kalman filter for chemical engineering. Eur. J. Control 21: 14-26 (2015) - [c8]Gennady Yu. Kulikov, Maria V. Kulikova:
State estimation in chemical systems with infrequent measurements. ECC 2015: 2688-2693 - [c7]Maria V. Kulikova, Gennady Yu. Kulikov:
A mixed-type accurate continuous-discrete extended-unscented kalman filter for target tracking. ECC 2015: 2824-2829 - [c6]Maria V. Kulikova:
Square-root adaptive Wave Filtering for marine vessels. ECC 2015: 3143-3148 - 2014
- [j7]Maria V. Kulikova, Julia V. Tsyganova:
A general approach to constructing parameter identification algorithms in the class of square root filters with orthogonal and J-orthogonal tranformations. Autom. Remote. Control. 75(8): 1402-1419 (2014) - [j6]Maria V. Kulikova, Gennady Yu. Kulikov:
Adaptive ODE solvers in extended Kalman filtering algorithms. J. Comput. Appl. Math. 262: 205-216 (2014) - [j5]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate Numerical Implementation of the Continuous-Discrete Extended Kalman Filter. IEEE Trans. Autom. Control. 59(1): 273-279 (2014) - [c5]Gennady Yu. Kulikov, Maria V. Kulikova:
Accurate state estimation in the Van der Vusse reaction. CCA 2014: 759-764 - 2013
- [j4]Maria V. Kulikova, António Pacheco:
Kalman Filter Sensitivity Evaluation With Orthogonal and J-Orthogonal Transformations. IEEE Trans. Autom. Control. 58(7): 1798-1804 (2013) - [j3]Julia Tsyganova, Maria V. Kulikova:
State Sensitivity Evaluation Within UD Based Array Covariance Filters. IEEE Trans. Autom. Control. 58(11): 2944-2950 (2013) - [c4]Maria V. Kulikova, Gennady Yu. Kulikov:
Square-root Accurate Continuous-Discrete Extended Kalman Filter for target tracking. CDC 2013: 7785-7790
2000 – 2009
- 2009
- [j2]Maria V. Kulikova:
Maximum likelihood estimation via the extended covariance and combined square-root filters. Math. Comput. Simul. 79(5): 1641-1657 (2009) - [j1]Maria V. Kulikova:
Likelihood Gradient Evaluation Using Square-Root Covariance Filters. IEEE Trans. Autom. Control. 54(3): 646-651 (2009) - 2006
- [c3]Maria V. Kulikova, Innokenti V. Semoushin:
Score Evaluation Within the Extended Square-Root Information Filter. International Conference on Computational Science (1) 2006: 473-481 - 2003
- [c2]Innokenti V. Semoushin, Julia Tsyganova, Maria V. Kulikova:
Fault Point Detection with the Bank of Competitive Kalman Filters. International Conference on Computational Science 2003: 417-426 - [c1]Maria V. Kulikova:
On Effective Computation of the Logarithm of the Likelihood Ratio Function for Gaussian Signals. International Conference on Computational Science 2003: 427-435
Coauthor Index
aka: Gennady Yu. Kulikov
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint