Virginijus Marcinkevicius

According to our database, Virginijus Marcinkevicius authored at least 26 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture.

Vytautas Paura, Virginijus Marcinkevicius

CoRR, 2024

DINO Pre-training for Vision-based End-to-end Autonomous Driving.

Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius

Balt. J. Mod. Comput., 2024

Crop Hyperspectral Dataset Unmixing Using Modified U-Net Model.

Vytautas Paura, Virginijus Marcinkevicius

Proceedings of the Digital Business and Intelligent Systems - 16th International Baltic Conference, Baltic DB&IS 2024, Vilnius, Lithuania, June 30, 2024

2023

Benchmark for Hyperspectral Unmixing Algorithm Evaluation.

Vytautas Paura, Virginijus Marcinkevicius

Informatica, 2023

Visual Place Recognition Pre-Training for End-to-End Trained Autonomous Driving Agent.

Shubham Juneja, Povilas Daniusis, Virginijus Marcinkevicius

IEEE Access, 2023

2022

Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions.

Povilas Daniusis, Shubham Juneja, Lukas Kuzma, Virginijus Marcinkevicius

CoRR, 2022

2021

Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets.

Viktoras Bulavas, Virginijus Marcinkevicius, Jacek Ruminski

Informatica, 2021

2020

Comparison of Classification Algorithms for Detection of Phishing Websites.

Paulius Vaitkevicius, Virginijus Marcinkevicius

Informatica, 2020

Composition of Ensembles of Recurrent Neural Networks for Phishing Websites Detection.

Paulius Vaitkevicius, Virginijus Marcinkevicius

Proceedings of the Databases and Information Systems, 2020

2019

Robust GNSS-denied localization for UAV using particle filter and visual odometry.

Rokas Jurevicius, Virginijus Marcinkevicius, Justinas Seibokas

Mach. Vis. Appl., 2019

A data set of aerial imagery from robotics simulator for map-based localization systems benchmark.

Rokas Jurevicius, Virginijus Marcinkevicius

CoRR, 2019

Learning Aerial Image Similarity Using Triplet Networks.

Vytautas Valaitis, Virginijus Marcinkevicius, Rokas Jurevicius

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018

Comparison of Supervised Machine Learning Techniques for CERN CMS Offline Data Certification.

Mantas Stankevicius, Virginijus Marcinkevicius, Valdas Rapsevicius

Proceedings of the Joint Proceedings of Baltic DB&IS 2018 Conference Forum and Doctoral Consortium co-located with the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018), 2018

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

Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification.

Tomas Pranckevicius, Virginijus Marcinkevicius

Balt. J. Mod. Comput., 2017

2016

Detection of the Road Pothole Contour in Raster Images.

Vytautas Jakstys, Virginijus Marcinkevicius, Povilas Treigys, Jevgenij Tichonov

Inf. Technol. Control., 2016

Cloud Computing Approach for Intelligent Visualization of Multidimensional Data.

Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Povilas Treigys

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

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

2014

Strategies for Big Data Clustering.

Olga Kurasova, Virginijus Marcinkevicius, Viktor Medvedev, Aurimas Rapecka, Pavel Stefanovic

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2012

Analysis of Iris and pupil parameters for stress Recognition.

Povilas Treigys, Virginijus Marcinkevicius, Arturas Kaklauskas

Inf. Technol. Control., 2012

Assessment of the Optic Nerve Disc and Excavation Parameters of Interactive and Automated Parameterization Methods.

Dovile Buteikiene, Alvydas Paunksnis, Valerijus Barzdziukas, Jolita Bernataviciene, Virginijus Marcinkevicius, Povilas Treigys

Informatica, 2012

2011

Efficient Data Projection for Visual Analysis of Large Data Sets Using Neural Networks.

Viktor Medvedev, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius

Informatica, 2011

Large-Scale Multidimensional Data Visualization: A Web Service for Data Mining.

Gintautas Dzemyda, Virginijus Marcinkevicius, Viktor Medvedev

Proceedings of the Towards a Service-Based Internet - 4th European Conference, 2011

2007

Conditions for Optimal Efficiency of Relative MDS.

Jolita Bernataviciene, Gintautas Dzemyda, Virginijus Marcinkevicius

Informatica, 2007

2006

Optimal decisions in combining the SOM with nonlinear projection methods.

Jolita Bernataviciene, Gintautas Dzemyda, Olga Kurasova, Virginijus Marcinkevicius

Eur. J. Oper. Res., 2006

2005

Minimization of the Mapping Error using Coordinate Descent.

Gintautas Dzemyda, Jolita Bernataviciene, Olga Kurasova, Virginijus Marcinkevicius

Proceedings of the 13-th International Conference in Central Europe on Computer Graphics, 2005