2025
Integrating deep learning and data fusion for advanced keystroke dynamics authentication.
Comput. Stand. Interfaces, 2025
2024
Deep learning-based authentication for insider threat detection in critical infrastructure.
Artif. Intell. Rev., October, 2024
Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques.
Informatics, 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey.
CoRR, 2024
Evaluation of Deep Learning-Based Models for Recognition of Skydiving Formations.
Proceedings of the Digital Business and Intelligent Systems - 16th International Baltic Conference, Baltic DB&IS 2024, Vilnius, Lithuania, June 30, 2024
2023
AutoML-Based Neural Architecture Search for Object Recognition in Satellite Imagery.
Remote. Sens., January, 2023
Behavioral Biometrics Authentication in Critical Infrastructure Using Siamese Neural Networks.
Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2023
2022
Approach for Multi-Label Text Data Class Verification and Adjustment Based on Self-Organizing Map and Latent Semantic Analysis.
Informatica, 2022
Techniques Involved in the Development of the New Dataset for Anomaly Detection in Computer Networks.
Proceedings of the Information Systems and Technologies, 2022
2021
Deep learning-based object recognition in multispectral satellite imagery for real-time applications.
Mach. Vis. Appl., 2021
2020
Emotional, affective and biometrical states analytics of a built environment.
Eng. Appl. Artif. Intell., 2020
Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model.
Comput. Intell. Neurosci., 2020
Evaluation of Lombard Speech Models in the Context of Speech in Noise Enhancement.
IEEE Access, 2020
2019
Improving the energy efficiency of SMACOF for multidimensional scaling on modern architectures.
J. Supercomput., 2019
Hyperspectral Image Classification Using Isomap with SMACOF.
Informatica, 2019
An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics.
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019
Convolutional neural network hyperparameters designed for highest object recognition accuracy in satellite imagery.
Proceedings of the Second International Conference on Data Science, 2019
Optimal U-Net Architecture for Object Recognition Problems in Multispectral Satellite Imagery.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
2018
Dimensionality Reduction Methods: The Comparison Of Speed And Accuracy.
Inf. Technol. Control., 2018
Comparative Analysis of Various Transformation Techniques for Voiceless Consonants Modeling.
Int. J. Comput. Commun. Control, 2018
Multi-level Massive Data Visualization: Methodology and Use Cases.
Balt. J. Mod. Comput., 2018
Comparative Analysis of Spectral and Cepstral Feature Extraction Techniques for Phoneme Modelling.
Proceedings of the Multimedia and Network Information Systems, 2018
2017
A new web-based solution for modelling data mining processes.
Simul. Model. Pract. Theory, 2017
A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.
Central Eur. J. Oper. Res., 2017
2016
Cloud Technologies: A New Level for Big Data Mining.
Proceedings of the Resource Management for Big Data Platforms, 2016
Big Multidimensional Datasets Visualization Using Neural Networks - Efficient Decision Support.
Complex Syst. Informatics Model. Q., 2016
Quality Prediction of Compressed Images via Classification.
Proceedings of the Image Processing and Communications Challenges 8, 2016
Parallel Computing for Dimensionality Reduction.
Proceedings of the Information and Software Technologies - 22nd International Conference, 2016
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016
2015
Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization.
Informatica, 2015
Swarm Intelligence for Frequency Management in Smart Grids.
Informatica, 2015
A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization.
Int. J. Comput. Commun. Control, 2015
Decision Support via Big Multidimensional Data Visualization.
Proceedings of the Joint Proceedings of the BIR 2015 Workshops and Doctoral Consortium co-located with 14th International Conference on Perspectives in Business Informatics Research (BIR 2015), 2015
2014
Creation of Text Document Matrices and Visualization by Self-Organizing Map.
Inf. Technol. Control., 2014
Genetic Algorithm for VRP with Constraints Based on Feasible Insertion.
Informatica, 2014
Strategies for Big Data Clustering.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014
2013
Visualization of Pareto Front Points when Solving Multi-objective Optimization Problems.
Inf. Technol. Control., 2013
2012
Data Mining Applications in Healthcare Theory vs Practice.
Proceedings of the Local Proceedings and Materials of Doctoral Consortium of the Tenth International Baltic Conference on Databases and Information Systems, 2012
2011
Integration of the Self-Organizing Map and Neural gas with Multidimensional Scaling.
Inf. Technol. Control., 2011
Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks.
Informatica, 2011
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map.
Informatica, 2011
A decision support system for solving multiple criteria optimization problems.
Informatics Educ., 2011
Influence of Learning Rates and Neighboring Functions on Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
2010
Parallel Bidirectional Dijkstra's Shortest Path Algorithm.
Proceedings of the Databases and Information Systems VI, 2010
2009
Combination of Vector Quantization and Visualization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
2007
Dimension Reduction and Data Visualization Using Neural Networks.
Proceedings of the Emerging Artificial Intelligence Applications in Computer Engineering, 2007
Dimensionality Problem in the Visualization of Correlation-Based Data.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Parameter System for Human Physiological Data Representation and Analysis.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007
2006
Heuristic approach for minimizing the projection error in the integrated mapping.
Eur. J. Oper. Res., 2006
Optimal decisions in combining the SOM with nonlinear projection methods.
Eur. J. Oper. Res., 2006
2005
Minimization of the Mapping Error using Coordinate Descent.
Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005
2004
Parallelization of the SOM-Based Integrated Mapping.
Proceedings of the Artificial Intelligence and Soft Computing, 2004
2003
Visualization of Multidimensional Data Taking into Account the Learning Flow of the Self-Organizing Neural Network.
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003
2002
Comparative Analysis of the Graphical Result Presentation in the SOM Software.
Informatica, 2002