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Olga Kurasova
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2020 – today
- 2025
- [j30]Arnoldas Budzys
, Olga Kurasova
Integrating deep learning and data fusion for advanced keystroke dynamics authentication. Comput. Stand. Interfaces 92: 103931 (2025) - 2024
- [j29]Arnoldas Budzys
Deep learning-based authentication for insider threat detection in critical infrastructure. Artif. Intell. Rev. 57(10): 272 (2024) - [j28]Olga Kurasova
Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques. Informatics 11: 11 (2024) - [c20]Algimantas Skuodis
Evaluation of Deep Learning-Based Models for Recognition of Skydiving Formations. DB&IS 2024: 211-226 - [i1]Rokas Gipiskis, Chun-Wei Tsai, Olga Kurasova:
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey. CoRR abs/2405.01636 (2024) - 2023
- [j27]Povilas Gudzius
AutoML-Based Neural Architecture Search for Object Recognition in Satellite Imagery. Remote. Sens. 15(1): 91 (2023) - [c19]Arnoldas Budzys
Behavioral Biometrics Authentication in Critical Infrastructure Using Siamese Neural Networks. HCI (35) 2023: 309-322 - 2022
- [j26]Pavel Stefanovic
Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis. Informatica 33(1): 109-130 (2022) - [c18]Zydrunas Vaisnoras
Techniques Involved in the Development of the New Dataset for Anomaly Detection in Computer Networks. WorldCIST (1) 2022: 137-144 - 2021
- [j25]Povilas Gudzius
Deep learning-based object recognition in multispectral satellite imagery for real-time applications. Mach. Vis. Appl. 32(4): 98 (2021) - 2020
- [j24]Grazina Korvel
Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement. IEEE Access 8: 155156-155170 (2020) - [j23]Pavel Stefanovic
Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model. Comput. Intell. Neurosci. 2020: 8878681:1-8878681:10 (2020) - [j22]Arturas Kaklauskas
Emotional, affective and biometrical states analytics of a built environment. Eng. Appl. Artif. Intell. 91: 103621 (2020)
2010 – 2019
- 2019
- [j21]Francisco José Orts Gómez, Gloria Ortega López, Ernestas Filatovas, Olga Kurasova, Gracia Ester Martín Garzón:
Hyperspectral Image Classification Using Isomap with SMACOF. Informatica 30(2): 349-365 (2019) - [j20]Francisco José Orts Gómez
Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures. J. Supercomput. 75(3): 1038-1050 (2019) - [c17]Povilas Gudzius, Olga Kurasova
Optimal U-Net Architecture for Object Recognition Problems in Multispectral Satellite Imagery. AICCSA 2019: 1-2 - [c16]Povilas Gudzius, Olga Kurasova
Convolutional neural network hyperparameters designed for highest object recognition accuracy in satellite imagery. DATA 2019: 4:1-4:2 - [c15]Grazina Korvel
An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics. ICETE (1) 2019: 286-295 - 2018
- [j19]Jelena Liutvinaviciene, Olga Kurasova:
Multi-level Massive Data Visualization: Methodology and Use Cases. Balt. J. Mod. Comput. 6(4) (2018) - [j18]Grazina Korvel
Comparative Analysis of Various Transformation Techniques for Voiceless Consonants Modeling. Int. J. Comput. Commun. Control 13(5): 853-864 (2018) - [j17]Jelena Zubova, Olga Kurasova, Marius Liutvinavicius:
Dimensionality Reduction Methods: The Comparison Of Speed And Accuracy. Inf. Technol. Control. 47(1): 151-160 (2018) - [c14]Grazina Korvel
Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling. MISSI 2018: 480-489 - 2017
- [j16]Ernestas Filatovas
A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. Central Eur. J. Oper. Res. 25(4): 859-878 (2017) - [j15]Viktor Medvedev
A new web-based solution for modelling data mining processes. Simul. Model. Pract. Theory 76: 34-46 (2017) - 2016
- [j14]Gintautas Dzemyda, Viktor Medvedev, Audrone Lupeikiene, Olga Kurasova, Albertas Caplinskas:
Big Multidimensional Datasets Visualization Using Neural Networks - Efficient Decision Support. Complex Syst. Informatics Model. Q. 6: 1-11 (2016) - [c13]Jelena Zubova, Marius Liutvinavicius, Olga Kurasova
Parallel Computing for Dimensionality Reduction. ICIST 2016: 230-241 - [c12]Jevgenij Tichonov, Olga Kurasova
Quality Prediction of Compressed Images via Classification. IP&C 2016: 35-42 - [p3]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. Advances in Stochastic and Deterministic Global Optimization 2016: 73-85 - [p2]Viktor Medvedev
Cloud Technologies: A New Level for Big Data Mining. Resource Management for Big Data Platforms 2016: 55-67 - 2015
- [j13]Ernestas Filatovas
A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization. Int. J. Comput. Commun. Control 10(4): 508-519 (2015) - [j12]Ernestas Filatovas, Olga Kurasova, Karthik Sindhya:
Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. Informatica 26(1): 33-50 (2015) - [j11]Jose Evora, Jose Juan Hernandez, Mario Hernández, Gintautas Dzemyda, Olga Kurasova, Enrique Kremers:
Swarm Intelligence for Frequency Management in Smart Grids. Informatica 26(3): 419-434 (2015) - [c11]Audrone Lupeikiene, Viktor Medvedev, Olga Kurasova, Albertas Caplinskas, Gintautas Dzemyda:
Decision Support via Big Multidimensional Data Visualization. BIR Workshops 2015: 1-8 - 2014
- [j10]Gintaras Vaira, Olga Kurasova:
Genetic Algorithm for VRP with Constraints Based on Feasible Insertion. Informatica 25(1): 155-184 (2014) - [j9]Pavel Stefanovic
Creation of Text Document Matrices and Visualization by Self-Organizing Map. Inf. Technol. Control. 43(1): 37-46 (2014) - [c10]Olga Kurasova
Strategies for Big Data Clustering. ICTAI 2014: 740-747 - 2013
- [j8]Olga Kurasova
Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems. Inf. Technol. Control. 42(4): 353-361 (2013) - 2012
- [c9]Olegas Niaksu, Olga Kurasova:
Data Mining Applications in Healthcare Theory vs Practice. DB&Local Proceedings 2012: 58-70 - 2011
- [j7]Ernestas Filatovas, Olga Kurasova:
A decision support system for solving multiple criteria optimization problems. Informatics Educ. 10(2): 213-224 (2011) - [j6]Olga Kurasova, Alma Molyte:
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map. Informatica 22(1): 115-134 (2011) - [j5]Viktor Medvedev, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius:
Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks. Informatica 22(4): 507-520 (2011) - [j4]Olga Kurasova
Integration of the Self-Organizing Map and Neural gas with Multidimensional Scaling. Inf. Technol. Control. 40(1): 12-20 (2011) - [c8]Pavel Stefanovic
Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps. WSOM 2011: 141-150 - 2010
- [c7]Gintaras Vaira, Olga Kurasova
Parallel Bidirectional Dijkstra's Shortest Path Algorithm. DB&IS 2010: 422-435
2000 – 2009
- 2009
- [c6]Olga Kurasova
Combination of Vector Quantization and Visualization. MLDM 2009: 29-43 - 2007
- [c5]Olga Kurasova
Parameter System for Human Physiological Data Representation and Analysis. IbPRIA (1) 2007: 209-216 - [c4]Gintautas Dzemyda, Olga Kurasova
Dimensionality Problem in the Visualization of Correlation-Based Data. ICANNGA (2) 2007: 544-553 - [p1]Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev:
Dimension Reduction and Data Visualization Using Neural Networks. Emerging Artificial Intelligence Applications in Computer Engineering 2007: 25-49 - 2006
- [j3]Gintautas Dzemyda, Olga Kurasova
Heuristic approach for minimizing the projection error in the integrated mapping. Eur. J. Oper. Res. 171(3): 859-878 (2006) - [j2]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova
Optimal decisions in combining the SOM with nonlinear projection methods. Eur. J. Oper. Res. 173(3): 729-745 (2006) - 2005
- [c3]Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius:
Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) 2005: 169-172 - 2004
- [c2]Gintautas Dzemyda, Olga Kurasova
Parallelization of the SOM-Based Integrated Mapping. ICAISC 2004: 178-183 - 2003
- [c1]Gintautas Dzemyda, Olga Kurasova:
Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network. WSCG 2003 - 2002
- [j1]Gintautas Dzemyda, Olga Kurasova:
Comparative Analysis of the Graphical Result Presentation in the SOM Software. Informatica 13(3): 275-286 (2002)
Coauthor Index
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