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Sofya Titarenko
Sofya Titarenko
Lecturer in Statistics, University of Leeds
Verified email at leeds.ac.uk
Title
Cited by
Cited by
Year
Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters
M Hussain, M Dhimish, S Titarenko, P Mather
Renewable Energy 155, 1272-1292, 2020
1182020
An analytical formula for ring artefact suppression in X-ray tomography
S Titarenko, PJ Withers, A Yagola
Applied Mathematics Letters 23 (12), 1489-1495, 2010
562010
Improved tomographic reconstructions using adaptive time-dependent intensity normalization
V Titarenko, S Titarenko, PJ Withers, F De Carlo, X Xiao
Journal of synchrotron radiation 17 (5), 689-699, 2010
452010
A predictive analysis of heart rates using machine learning techniques
M Oyeleye, T Chen, S Titarenko, G Antoniou
International Journal of Environmental Research and Public Health 19 (4), 2417, 2022
442022
Regularization methods for inverse problems in x-ray tomography
V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko
Developments in X-Ray Tomography VII 7804, 282-291, 2010
322010
A ring artifact suppression algorithm based on a priori information
S Titarenko, V Titarenko, A Kyrieleis, PJ Withers
Applied Physics Letters 95 (7), 2009
322009
No significant boron in the hydrated mantle of most subducting slabs
AM McCaig, SS Titarenko, IP Savov, RA Cliff, D Banks, A Boyce, ...
Nature Communications 9 (1), 4602, 2018
282018
A priori information in a regularized sinogram-based method for removing ring artefacts in tomography
S Titarenko, V Titarenko, A Kyrieleis, PJ Withers
Journal of synchrotron radiation 17 (4), 540-549, 2010
242010
Suppression of ring artefacts when tomographing anisotropically attenuating samples
S Titarenko, V Titarenko, A Kyrieleis, P Withers, F De Carlo
Journal of Synchrotron Radiation 18 (3), 427-435, 2011
232011
Modelling the Lost City hydrothermal field: influence of topography and permeability structure
SS Titarenko, AM McCaig
Geofluids 16 (2), 314-328, 2016
212016
Malaria parasite detection using deep learning methods
K Chakradeo, M Delves, S Titarenko
International Journal of Computer and Information Engineering 15 (2), 175-182, 2021
182021
A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia
M Bucholc, S Titarenko, X Ding, C Canavan, T Chen
Expert Systems with Applications 217, 119541, 2023
172023
Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints
SS Titarenko, VN Titarenko, G Aivaliotis, J Palczewski
Journal of Big Data 6 (1), 37, 2019
162019
Hybrid multicore/vectorisation technique applied to the elastic wave equation on a staggered grid
S Titarenko, M Hildyard
Computer Physics Communications 216, 53-62, 2017
152017
Ring artefact suppression in real-time x-ray tomography
SS Titarenko, AG Yagola
Moscow University Physics Bulletin 65, 65-67, 2010
92010
Data-driven decision support for autism diagnosis using machine learning
S Batsakis, M Adamou, I Tachmazidis, G Antoniou, T Kehagias
Proceedings of the 13th International Conference on Management of Digital …, 2021
82021
Multilevel parallelization: Grid methods for solving direct and inverse problems
SS Titarenko, IM Kulikov, IG Chernykh, MA Shishlenin, OI Krivorot’ko, ...
Supercomputing: Second Russian Supercomputing Days, RuSCDays 2016, Moscow …, 2016
62016
Regularization methods forinverseproblemsinx-raytomography
V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko
Proc. SPIE X-Ray Tomography 7804, 78040Z-78040Z, 2010
52010
Regularization methods for inverse problems in X-ray tomography. SPIE Optical Engineering+ Applications. International Society for Optics and Photonics
V Titarenko, R Bradley, C Martin, PJ Withers, S Titarenko
78040Z–78040Z–10, 2010
42010
Constraints on the Lost City Hydrothermal System from borehole thermal data; 3-D models of heat flow and hydrothermal circulation in an oceanic core complex.
S Titarenko, AM McCaig
AGU Fall Meeting Abstracts 2014, V21A-4729, 2014
32014
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Articles 1–20