Comparative Analysis of the Graphical Result Presentation in the SOM Software. - Gintautas Dzemyda; Olga Kurasova (Informatica, 2002)

Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network. - Gintautas Dzemyda; Olga Kurasova (WSCG, 2003)

Parallelization of the SOM-Based Integrated Mapping. - Gintautas Dzemyda; Olga Kurasova (ICAISC, 2004)

Minimization of the Mapping Error using Coordinate Descent. - Gintautas Dzemyda; Jolita Bernataviciene; Olga Kurasova; Virginijus Marcinkevicius (WSCG (Short Papers), 2005)

Optimal decisions in combining the SOM with nonlinear projection methods. - Jolita Bernataviciene; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius (Eur. J. Oper. Res., 2006)

Heuristic approach for minimizing the projection error in the integrated mapping. - Gintautas Dzemyda; Olga Kurasova (Eur. J. Oper. Res., 2006)

Parameter System for Human Physiological Data Representation and Analysis. - Olga Kurasova; Gintautas Dzemyda; Alfonsas Vainoras (IbPRIA (1), 2007)

Dimensionality Problem in the Visualization of Correlation-Based Data. - Gintautas Dzemyda; Olga Kurasova (ICANNGA (2), 2007)

Dimension Reduction and Data Visualization Using Neural Networks. - Gintautas Dzemyda; Olga Kurasova; Viktor Medvedev (Emerging Artificial Intelligence Applications in Computer Engineering, 2007)

Combination of Vector Quantization and Visualization. - Olga Kurasova; Alma Molyte (MLDM, 2009)

Parallel Bidirectional Dijkstra's Shortest Path Algorithm. - Gintaras Vaira; Olga Kurasova (DB&IS, 2010)

Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps. - Pavel Stefanovic; Olga Kurasova (WSOM, 2011)

A decision support system for solving multiple criteria optimization problems. - Ernestas Filatovas; Olga Kurasova (Informatics Educ., 2011)

Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map. - Olga Kurasova; Alma Molyte (Informatica, 2011)

Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks. - Viktor Medvedev; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius (Informatica, 2011)

Integration of the Self-Organizing Map and Neural gas with Multidimensional Scaling. - Olga Kurasova; Alma Molyte (Inf. Technol. Control., 2011)

Data Mining Applications in Healthcare Theory vs Practice. - Olegas Niaksu; Olga Kurasova (DB&Local Proceedings, 2012)

Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems. - Olga Kurasova; Tomas Petkus; Ernestas Filatovas (Inf. Technol. Control., 2013)

Strategies for Big Data Clustering. - Olga Kurasova; Virginijus Marcinkevicius; Viktor Medvedev; Aurimas Rapecka; Pavel Stefanovic (ICTAI, 2014)

Genetic Algorithm for VRP with Constraints Based on Feasible Insertion. - Gintaras Vaira; Olga Kurasova (Informatica, 2014)

Creation of Text Document Matrices and Visualization by Self-Organizing Map. - Pavel Stefanovic; Olga Kurasova (Inf. Technol. Control., 2014)

Decision Support via Big Multidimensional Data Visualization. - Audrone Lupeikiene; Viktor Medvedev; Olga Kurasova; Albertas Caplinskas; Gintautas Dzemyda (BIR Workshops, 2015)

A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization. - Ernestas Filatovas; Dmitry Podkopaev; Olga Kurasova (Int. J. Comput. Commun. Control, 2015)

Swarm Intelligence for Frequency Management in Smart Grids. - Jose Evora; Jose Juan Hernandez; Mario Hernández; Gintautas Dzemyda; Olga Kurasova; Enrique Kremers (Informatica, 2015)

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. - Ernestas Filatovas; Olga Kurasova; Karthik Sindhya (Informatica, 2015)

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. - Jolita Bernataviciene; Gintautas Dzemyda; Olga Kurasova; Virginijus Marcinkevicius; Viktor Medvedev; Povilas Treigys (Advances in Stochastic and Deterministic Global Optimization, 2016)

Parallel Computing for Dimensionality Reduction. - Jelena Zubova; Marius Liutvinavicius; Olga Kurasova (ICIST, 2016)

Quality Prediction of Compressed Images via Classification. - Jevgenij Tichonov; Olga Kurasova; Ernestas Filatovas (IP&C, 2016)

Big Multidimensional Datasets Visualization Using Neural Networks - Efficient Decision Support. - Gintautas Dzemyda; Viktor Medvedev; Audrone Lupeikiene; Olga Kurasova; Albertas Caplinskas (Complex Syst. Informatics Model. Q., 2016)

Cloud Technologies: A New Level for Big Data Mining. - Viktor Medvedev; Olga Kurasova (Resource Management for Big Data Platforms, 2016)

A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. - Ernestas Filatovas; Algirdas Lancinskas; Olga Kurasova; Julius Zilinskas (Central Eur. J. Oper. Res., 2017)

A new web-based solution for modelling data mining processes. - Viktor Medvedev; Olga Kurasova; Jolita Bernataviciene; Povilas Treigys; Virginijus Marcinkevicius; Gintautas Dzemyda (Simul. Model. Pract. Theory, 2017)

Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling. - Grazina Korvel; Olga Kurasova; Bozena Kostek (MISSI, 2018)

Multi-level Massive Data Visualization: Methodology and Use Cases. - Jelena Liutvinaviciene; Olga Kurasova (Balt. J. Mod. Comput., 2018)

Comparative Analysis of Various Transformation Techniques for Voiceless Consonants Modeling. - Grazina Korvel; Bozena Kostek; Olga Kurasova (Int. J. Comput. Commun. Control, 2018)

Dimensionality Reduction Methods: The Comparison Of Speed And Accuracy. - Jelena Zubova; Olga Kurasova; Marius Liutvinavicius (Inf. Technol. Control., 2018)

Optimal U-Net Architecture for Object Recognition Problems in Multispectral Satellite Imagery. - Povilas Gudzius; Olga Kurasova; Ernestas Filatovas (AICCSA, 2019)

Convolutional neural network hyperparameters designed for highest object recognition accuracy in satellite imagery. - Povilas Gudzius; Olga Kurasova; Ernestas Filatovas (DATA, 2019)

An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics. - Grazina Korvel; Olga Kurasova; Bozena Kostek (ICETE (1), 2019)

Hyperspectral Image Classification Using Isomap with SMACOF. - Francisco José Orts Gómez; Gloria Ortega; Ernestas Filatovas; Olga Kurasova; Gracia Ester Martín Garzón (Informatica, 2019)

Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures. - Francisco José Orts Gómez; Ernestas Filatovas; Gloria Ortega; Olga Kurasova; Ester M. Garzón (J. Supercomput., 2019)

Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement. - Grazina Korvel; Krzysztof Kakol; Olga Kurasova; Bozena Kostek (IEEE Access, 2020)

Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model. - Pavel Stefanovic; Rokas Strimaitis; Olga Kurasova (Comput. Intell. Neurosci., 2020)

Emotional, affective and biometrical states analytics of a built environment. - Arturas Kaklauskas; Ajith Abraham; Gintautas Dzemyda; Saulius Raslanas; Mark Seniut; Ieva Ubarte; Olga Kurasova; Arune Binkyte-Veliene; Justas Cerkauskas (Eng. Appl. Artif. Intell., 2020)

Deep learning-based object recognition in multispectral satellite imagery for real-time applications. - Povilas Gudzius; Olga Kurasova; Vytenis Darulis; Ernestas Filatovas (Mach. Vis. Appl., 2021)

Techniques Involved in the Development of the New Dataset for Anomaly Detection in Computer Networks. - Zydrunas Vaisnoras; Olga Kurasova (WorldCIST (1), 2022)

Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis. - Pavel Stefanovic; Olga Kurasova (Informatica, 2022)

Behavioral Biometrics Authentication in Critical Infrastructure Using Siamese Neural Networks. - Arnoldas Budzys; Olga Kurasova; Viktor Medvedev (HCI (35), 2023)

AutoML-Based Neural Architecture Search for Object Recognition in Satellite Imagery. - Povilas Gudzius; Olga Kurasova; Vytenis Darulis; Ernestas Filatovas (Remote. Sens., 2023)

Evaluation of Deep Learning-Based Models for Recognition of Skydiving Formations. - Algimantas Skuodis; Olga Kurasova (DB&IS, 2024)

Explainable AI (XAI) in image segmentation in medicine, industry, and beyond: A survey. - Rokas Gipiskis; Chun-Wei Tsai; Olga Kurasova (ICT Express, 2024)

Data Augmentation for Classification of Multi-Domain Tension Signals. - Tadas Zvirblis; Armantas Piksrys; Damian Bzinkowski; Miroslaw Rucki; Arturas Kilikevicius; Olga Kurasova (Informatica, 2024)

Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques. - Olga Kurasova; Arnoldas Budzys; Viktor Medvedev (Informatics, 2024)

Deep learning-based authentication for insider threat detection in critical infrastructure. - Arnoldas Budzys; Olga Kurasova; Viktor Medvedev (Artif. Intell. Rev., 2024)

A decision-making framework for user authentication using keystroke dynamics. - Viktor Medvedev; Arnoldas Budzys; Olga Kurasova (Comput. Secur., 2025)

Integrating deep learning and data fusion for advanced keystroke dynamics authentication. - Arnoldas Budzys; Olga Kurasova; Viktor Medvedev (Comput. Stand. Interfaces, 2025)

Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection. - Gintautas Dzemyda; Olga Kurasova; Viktor Medvedev; Ausra Suboniene; Aiste Kielaite-Gulla; Arturas Samuilis; Dziugas Jagminas; Kestutis Strupas (Expert Syst. J. Knowl. Eng., 2025)