Cited by 13
Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks

Combining Multidimensional Scaling with Artificial Neural Networks
Gintautas Dzemyda, Olga Kurasova, Julius Žilinskas
Book:  Springer Optimization and Its Applications (Multidimensional Data Visualization) Volume 75 (2013), p. 113
Visualization of Data: Methods, Software, and Applications
Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev, Giedrė Dzemydaitė
Book:  Advances in Mechanics and Mathematics (Advances in Mathematical Methods and High Performance Computing) Volume 41 (2019), p. 295
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data
Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevičius, Viktor Medvedev, Povilas Treigys
Book:  Springer Optimization and Its Applications (Advances in Stochastic and Deterministic Global Optimization) Volume 107 (2016), p. 73
Hybrid Entropy Method for Large Data Set Reduction Using MLP-ANN and SVM Classifiers
Rashmi, Udayan Ghose
Book:  Communications in Computer and Information Science (Data Science and Analytics) Volume 1229 (2020), p. 49
2023 International Russian Automation Conference (RusAutoCon)
Ksenia Zhernova, Andrey Chechulin
Conference:  (2023), p. 380
Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data
Gintautas Dzemyda, Viktor Medvedev, Martynas Sabaliauskas
Book:  Lecture Notes in Networks and Systems (Information Systems and Technologies) Volume 469 (2022), p. 74
Survey on Clustering Algorithms for Unstructured Data
R. S. M. Lakshmi Patibandla, N. Veeranjaneyulu
Book:  Advances in Intelligent Systems and Computing (Intelligent Engineering Informatics) Volume 695 (2018), p. 421
2014 IEEE 26th International Conference on Tools with Artificial Intelligence
Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Aurimas Rapecka, Pavel Stefanovic
Conference:  (2014), p. 740
A new web-based solution for modelling data mining processes
Viktor Medvedev, Olga Kurasova, Jolita Bernatavičienė, Povilas Treigys, Virginijus Marcinkevičius, Gintautas Dzemyda
Journal:  Simulation Modelling Practice and Theory Volume 76 (2017), p. 34
Customized ViNeRS Method for Video Neuro-Advertising of Green Housing
Arturas Kaklauskas, Edmundas Kazimieras Zavadskas, Bjoern Schuller, Natalija Lepkova, Gintautas Dzemyda, Jurate Sliogeriene, Olga Kurasova
Journal:  International Journal of Environmental Research and Public Health Volume 17, Issue 7 (2020), p. 2244
Pub. online: 14 Jun 2022      Type: Research Article      Open accessOpen Access
Journal:  Informatica Volume 33, Issue 2 (2022), pp. 299–320
   Abstract
Geometric multidimensional scaling: A new approach for data dimensionality reduction
Gintautas Dzemyda, Martynas Sabaliauskas
Journal:  Applied Mathematics and Computation Volume 409 (2021), p. 125561
Visualization of Individual Performances in Men’s Tennis Using Artificial Intelligence Techniques
최형준, MinHyuk Kwon
Journal:  The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science Volume 14, Issue 3 (2012), p. 47