Speed Up of the SAMANN Neural Network Retraining. - Viktor Medvedev; Gintautas Dzemyda (ICAISC, 2006)

Retraining the Neural Network for Data Visualization. - Viktor Medvedev; Gintautas Dzemyda (AIAI, 2006)

Optimization of the Local Search in the Training for SAMANN Neural Network. - Viktor Medvedev; Gintautas Dzemyda (J. Glob. Optim., 2006)

Parallel Realizations of the SAMANN Algorithm. - Sergejus Ivanikovas; Viktor Medvedev; Gintautas Dzemyda (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)

Large Datasets Visualization with Neural Network Using Clustered Training Data. - Sergejus Ivanikovas; Gintautas Dzemyda; Viktor Medvedev (ADBIS, 2008)

Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining. - Gintautas Dzemyda; Virginijus Marcinkevicius; Viktor Medvedev (ServiceWave, 2011)

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

Comparing Real and Intended System Usages: A Case for Web Portal. - Jérémy Besson; Audrone Lupeikiene; Viktor Medvedev (Informatica, 2012)

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

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

Method for Visual Detection of Similarities in Medical Streaming Data. - Jolita Bernataviciene; Gintautas Dzemyda; Gediminas Bazilevicius; Viktor Medvedev; Virginijus Marcinkevicius; Povilas Treigys (Int. J. Comput. Commun. Control, 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)

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)

Automated 2D Segmentation of Prostate in T2-weighted MRI Scans. - Justinas Jucevicius; Povilas Treigys; Jolita Bernataviciene; Ruta Briediene; Ieva Naruseviciute; Gintautas Dzemyda; Viktor Medvedev (Int. J. Comput. Commun. Control, 2017)

Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Viktor Medvedev; Miroslav Voznák; Mindaugas Kurmis; Violeta Bulbenkiene (Informatica, 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)

Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. - Julius Venskus; Povilas Treigys; Jolita Bernataviciene; Gintautas Tamulevicius; Viktor Medvedev (Sensors, 2019)

Image Quality in Computed Tomography Coronary Angiography and Radiation Dose Reduction. - Domas Golubickas; Saulius Lukosevicius; Vytenis Tamakauskas; Laima Dobrovolskiene; Ingrida Baseviciene; Liviu Grib; Nijole Ragaisyte; Rytis Leonavicius; Viktor Medvedev; Vincentas Veikutis (Informatica, 2021)

Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data. - Gintautas Dzemyda; Viktor Medvedev; Martynas Sabaliauskas (WorldCIST (2), 2022)

Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization. - Gintautas Dzemyda; Martynas Sabaliauskas; Viktor Medvedev (Informatica, 2022)

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

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)