Cited by 10
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map

Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps
Pavel Stefanovič, Olga Kurasova
Book:  Lecture Notes in Computer Science (Advances in Self-Organizing Maps) Volume 6731 (2011), p. 141
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
Neural Networks for Modeling Metabolic Pathways
Meir Israelowitz, Birgit Weyand, Sabine Bohlmann, James Kramer, Christoph Gille, Syed W. H. Rizvi, Herbert P. von Schroeder, Matthias Reuter
Book:  Series in BioEngineering (Biomimetics and Bionic Applications with Clinical Applications) (2021), p. 177
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
Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques
Olga Kurasova, Arnoldas Budžys, Viktor Medvedev
Journal:  Informatics Volume 11, Issue 1 (2024), p. 11
Pub. online: 14 Jun 2022      Type: Research Article      Open accessOpen Access
Journal:  Informatica Volume 33, Issue 2 (2022), pp. 299–320
   Abstract
Improving the Quality of Self-Organizing Maps by Self-Intersection Avoidance
Ezequiel Lopez-Rubio
Journal:  IEEE Transactions on Neural Networks and Learning Systems Volume 24, Issue 8 (2013), p. 1253
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding
Julius Venskus, Povilas Treigys, Jolita Bernatavičienė, Gintautas Tamulevičius, Viktor Medvedev
Journal:  Sensors Volume 19, Issue 17 (2019), p. 3782