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ORCIDViktor Medvedev
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2020 – today
- 2025
[j14]Arnoldas Budzys
, Olga Kurasova, Viktor Medvedev:
Integrating deep learning and data fusion for advanced keystroke dynamics authentication. Comput. Stand. Interfaces 92: 103931 (2025)- 2024
- [j13]Arnoldas Budzys, Olga Kurasova, Viktor Medvedev:
Deep learning-based authentication for insider threat detection in critical infrastructure. Artif. Intell. Rev. 57(10): 272 (2024) - [j12]Olga Kurasova, Arnoldas Budzys, Viktor Medvedev:
Exploring Multidimensional Embeddings for Decision Support Using Advanced Visualization Techniques. Informatics 11: 11 (2024) - 2023
- [c9]Arnoldas Budzys, Olga Kurasova, Viktor Medvedev:
Behavioral Biometrics Authentication in Critical Infrastructure Using Siamese Neural Networks. HCI (35) 2023: 309-322 - 2022
- [j11]Gintautas Dzemyda, Martynas Sabaliauskas, Viktor Medvedev:
Geometric MDS Performance for Large Data Dimensionality Reduction and Visualization. Informatica 33(2): 299-320 (2022) - [c8]Gintautas Dzemyda, Viktor Medvedev, Martynas Sabaliauskas:
Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data. WorldCIST (2) 2022: 74-82 - 2021
- [j10]Domas Golubickas, Saulius Lukosevicius, Vytenis Tamakauskas, Laima Dobrovolskiene, Ingrida Baseviciene, Liviu Grib, Nijole Ragaisyte, Rytis Leonavicius, Viktor Medvedev, Vincentas Veikutis:
Image Quality in Computed Tomography Coronary Angiography and Radiation Dose Reduction. Informatica 32(4): 741-757 (2021)
2010 – 2019
- 2019
- [j9]Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Gintautas Tamulevicius, Viktor Medvedev:
Real-Time Maritime Traffic Anomaly Detection Based on Sensors and History Data Embedding. Sensors 19(17): 3782 (2019) - 2017
- [j8]Justinas Jucevicius, Povilas Treigys, Jolita Bernataviciene, Ruta Briediene, Ieva Naruseviciute, Gintautas Dzemyda, Viktor Medvedev:
Automated 2D Segmentation of Prostate in T2-weighted MRI Scans. Int. J. Comput. Commun. Control 12(1): 53-60 (2017) - [j7]Julius Venskus, Povilas Treigys, Jolita Bernataviciene, Viktor Medvedev, Miroslav Voznák, Mindaugas Kurmis, Violeta Bulbenkiene:
Integration of a Self-Organizing Map and a Virtual Pheromone for Real-Time Abnormal Movement Detection in Marine Traffic. Informatica 28(2): 359-374 (2017) - [j6]Viktor Medvedev, Olga Kurasova, Jolita Bernataviciene, Povilas Treigys, Virginijus Marcinkevicius, Gintautas Dzemyda:
A new web-based solution for modelling data mining processes. Simul. Model. Pract. Theory 76: 34-46 (2017) - 2016
- [j5]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) - [p3]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Povilas Treigys:
Cloud Computing Approach for Intelligent Visualization of Multidimensional Data. Advances in Stochastic and Deterministic Global Optimization 2016: 73-85 - [p2]Viktor Medvedev, Olga Kurasova:
Cloud Technologies: A New Level for Big Data Mining. Resource Management for Big Data Platforms 2016: 55-67 - 2015
- [j4]Jolita Bernataviciene, Gintautas Dzemyda, Gediminas Bazilevicius, Viktor Medvedev, Virginijus Marcinkevicius, Povilas Treigys:
Method for Visual Detection of Similarities in Medical Streaming Data. Int. J. Comput. Commun. Control 10(1): 8-21 (2015) - [c7]Audrone Lupeikiene, Viktor Medvedev, Olga Kurasova, Albertas Caplinskas, Gintautas Dzemyda:
Decision Support via Big Multidimensional Data Visualization. BIR Workshops 2015: 1-8 - 2014
- [c6]Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Aurimas Rapecka, Pavel Stefanovic:
Strategies for Big Data Clustering. ICTAI 2014: 740-747 - 2012
- [j3]Jérémy Besson, Audrone Lupeikiene, Viktor Medvedev:
Comparing Real and Intended System Usages: A Case for Web Portal. Informatica 23(2): 191-201 (2012) - 2011
- [j2]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) - [c5]Gintautas Dzemyda, Virginijus Marcinkevicius, Viktor Medvedev:
Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining. ServiceWave 2011: 14-25
2000 – 2009
- 2008
- [c4]Sergejus Ivanikovas, Gintautas Dzemyda, Viktor Medvedev:
Large Datasets Visualization with Neural Network Using Clustered Training Data. ADBIS 2008: 143-152 - 2007
- [c3]Sergejus Ivanikovas, Viktor Medvedev, Gintautas Dzemyda:
Parallel Realizations of the SAMANN Algorithm. ICANNGA (2) 2007: 179-188 - [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
- [j1]Viktor Medvedev, Gintautas Dzemyda:
Optimization of the Local Search in the Training for SAMANN Neural Network. J. Glob. Optim. 35(4): 607-623 (2006) - [c2]Viktor Medvedev, Gintautas Dzemyda:
Speed Up of the SAMANN Neural Network Retraining. ICAISC 2006: 94-103 - [c1]Viktor Medvedev, Gintautas Dzemyda:
Retraining the Neural Network for Data Visualization. AIAI 2006: 27-34
Coauthor Index
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