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ORCIDMartynas Sabaliauskas
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2020 – today
- 2024
[j5]Gintautas Dzemyda
, Martynas Sabaliauskas:
Geometric multidimensional scaling: efficient approach for data dimensionality reduction. J. Glob. Optim. 88(1): 53-77 (2024)- 2022
- [j4]Gintautas Dzemyda, Martynas Sabaliauskas, Viktor Medvedev:
Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization. Informatica 33(2): 299-320 (2022) - [c4]Gintautas Dzemyda, Viktor Medvedev, Martynas Sabaliauskas:
Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data. WorldCIST (2) 2022: 74-82 - 2021
- [j3]Gintautas Dzemyda, Martynas Sabaliauskas:
Geometric multidimensional scaling: A new approach for data dimensionality reduction. Appl. Math. Comput. 409: 125561 (2021) - [c3]Gintautas Dzemyda, Martynas Sabaliauskas:
On the Computational Efficiency of Geometric Multidimensional Scaling. ESSE 2021: 136-141 - [c2]Gintautas Dzemyda, Martynas Sabaliauskas:
New Capabilities of the Geometric Multidimensional Scaling. WorldCIST (2) 2021: 264-273 - 2020
- [j2]Igoris Belovas, Martynas Sabaliauskas:
Series with Binomial-Like Coefficients for Evaluation and 3D Visualization of Zeta Functions. Informatica 31(4): 659-680 (2020)
2010 – 2019
- 2019
- [c1]Gintautas Dzemyda, Martynas Sabaliauskas:
A Novel Geometric Approach to the Problem of Multidimensional Scaling. NUMTA (2) 2019: 354-361 - 2017
- [j1]Mykolas J. Bilinskas, Gintautas Dzemyda, Martynas Sabaliauskas:
Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour. Appl. Comput. Syst. 21(1): 66-70 (2017)
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