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ORCIDSergiy Pereverzyev Jr.
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- affiliation: University of Innsbruck, Department of Mathematics, Austria
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2020 – today
- 2024
[i3]Elke Ruth Gizewski, Markus Holzleitner, Lukas Mayer-Suess, Sergiy Pereverzyev Jr., Sergei V. Pereverzyev
:
Multiparameter regularization and aggregation in the context of polynomial functional regression. CoRR abs/2405.04147 (2024)- 2020
- [j5]Andrés Martínez, Claudia Schmuck, Sergiy Pereverzyev Jr., Clemens Pirker, Markus Haltmeier:
A machine learning framework for customer purchase prediction in the non-contractual setting. Eur. J. Oper. Res. 281(3): 588-596 (2020)
2010 – 2019
- 2019
- [j4]Florian Dreier, Sergiy Pereverzyev Jr., Markus Haltmeier:
Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography. Comput. Methods Appl. Math. 19(4): 749-764 (2019) - [i2]Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR abs/1902.00347 (2019) - 2018
- [j3]Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier:
A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. 56(1): 160-184 (2018) - [i1]Shuai Lu, Peter Mathé, Sergiy Pereverzyev Jr.:
Analysis of regularized Nyström subsampling for regression functions of low smoothness. CoRR abs/1806.00826 (2018) - 2017
- [j2]Christian Gerhards, Sergiy Pereverzyev Jr., Pavlo Tkachenko:
A parameter choice strategy for the inversion of multiple observations. Adv. Comput. Math. 43(1): 101-112 (2017) - 2015
- [j1]Markus Haltmeier, Sergiy Pereverzyev Jr.:
Recovering a Function from Circular Means or Wave Data on the Boundary of Parabolic Domains. SIAM J. Imaging Sci. 8(1): 592-610 (2015) - [p1]Katerina Hlavácková-Schindler, Sergiy Pereverzyev Jr.:
Lasso Granger Causal Models: Some Strategies and Their Efficiency for Gene Expression Regulatory Networks. Decision Making 2015: 91-117 - 2013
- [c1]Sergiy Pereverzyev Jr., Katerina Hlavácková-Schindler:
Graphical Lasso Granger Method with 2-Levels-Thresholding for Recovering Causality Networks. System Modelling and Optimization 2013: 220-229
Coauthor Index
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