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Virginijus Marcinkevicius
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2020 – today
- 2024
- [c7]Vytautas Paura, Virginijus Marcinkevicius:
Crop Hyperspectral Dataset Unmixing Using Modified U-Net Model. DB&IS 2024: 195-210 - [i5]Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius:
DINO Pre-training for Vision-based End-to-end Autonomous Driving. CoRR abs/2407.10803 (2024) - [i4]Vytautas Paura, Virginijus Marcinkevicius:
Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture. CoRR abs/2409.19701 (2024) - 2023
- [j14]Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius:
Visual Place Recognition Pre-Training for End-to-End Trained Autonomous Driving Agent. IEEE Access 11: 128421-128428 (2023) - [j13]Vytautas Paura, Virginijus Marcinkevicius:
Benchmark for Hyperspectral Unmixing Algorithm Evaluation. Informatica 34(2): 285-315 (2023) - 2022
- [i3]Povilas Daniusis, Shubham Juneja, Lukas Kuzma, Virginijus Marcinkevicius:
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions. CoRR abs/2208.07934 (2022) - 2021
- [j12]Viktoras Bulavas, Virginijus Marcinkevicius, Jacek Ruminski:
Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets. Informatica 32(3): 441-475 (2021) - 2020
- [j11]Paulius Vaitkevicius, Virginijus Marcinkevicius:
Comparison of Classification Algorithms for Detection of Phishing Websites. Informatica 31(1): 143-160 (2020) - [c6]Paulius Vaitkevicius, Virginijus Marcinkevicius:
Composition of Ensembles of Recurrent Neural Networks for Phishing Websites Detection. DB&IS 2020: 297-310
2010 – 2019
- 2019
- [j10]Rokas Jurevicius, Virginijus Marcinkevicius, Justinas Seibokas:
Robust GNSS-denied localization for UAV using particle filter and visual odometry. Mach. Vis. Appl. 30(7-8): 1181-1190 (2019) - [c5]Vytautas Valaitis, Virginijus Marcinkevicius, Rokas Jurevicius:
Learning Aerial Image Similarity Using Triplet Networks. NUMTA (2) 2019: 195-207 - [i2]Rokas Jurevicius, Virginijus Marcinkevicius, Justinas Seibokas:
Robust GNSS Denied Localization for UAV Using Particle Filter and Visual Odometry. CoRR abs/1910.12121 (2019) - [i1]Rokas Jurevicius, Virginijus Marcinkevicius:
A data set of aerial imagery from robotics simulator for map-based localization systems benchmark. CoRR abs/1910.12968 (2019) - 2018
- [c4]Mantas Stankevicius, Virginijus Marcinkevicius, Valdas Rapsevicius:
Comparison of Supervised Machine Learning Techniques for CERN CMS Offline Data Certification. Doctoral Consortium/Forum@DB&IS 2018: 170-176 - 2017
- [j9]Tomas Pranckevicius, Virginijus Marcinkevicius:
Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification. Balt. J. Mod. Comput. 5(2) (2017) - [j8]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
- [j7]Vytautas Jakstys, Virginijus Marcinkevicius, Povilas Treigys, Jevgenij Tichonov:
Detection of the Road Pothole Contour in Raster Images. Inf. Technol. Control. 45(3): 300-307 (2016) - [p1]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 - 2015
- [j6]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) - 2014
- [c3]Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Aurimas Rapecka, Pavel Stefanovic:
Strategies for Big Data Clustering. ICTAI 2014: 740-747 - 2012
- [j5]Dovile Buteikiene, Alvydas Paunksnis, Valerijus Barzdziukas, Jolita Bernataviciene, Virginijus Marcinkevicius, Povilas Treigys:
Assessment of the Optic Nerve Disc and Excavation Parameters of Interactive and Automated Parameterization Methods. Informatica 23(3): 335-355 (2012) - [j4]Povilas Treigys, Virginijus Marcinkevicius, Arturas Kaklauskas:
Analysis of Iris and pupil parameters for stress Recognition. Inf. Technol. Control. 41(1): 7-14 (2012) - 2011
- [j3]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) - [c2]Gintautas Dzemyda, Virginijus Marcinkevicius, Viktor Medvedev:
Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining. ServiceWave 2011: 14-25
2000 – 2009
- 2007
- [j2]Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius:
Conditions for Optimal Efficiency of Relative MDS. Informatica 18(2): 187-202 (2007) - 2006
- [j1]Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius:
Optimal decisions in combining the SOM with nonlinear projection methods. Eur. J. Oper. Res. 173(3): 729-745 (2006) - 2005
- [c1]Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius:
Minimization of the Mapping Error using Coordinate Descent. WSCG (Short Papers) 2005: 169-172
Coauthor Index
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last updated on 2024-10-22 20:12 CEST by the dblp team
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