| Comparison of naive bayes, random forest, decision tree, support vector machines, and logistic regression classifiers for text reviews classification T Pranckevičius, V Marcinkevičius Baltic Journal of Modern Computing 5 (2), 221, 2017 | 353 | 2017 |
| Strategies for big data clustering O Kurasova, V Marcinkevicius, V Medvedev, A Rapecka, P Stefanovic 2014 IEEE 26th international conference on tools with artificial …, 2014 | 90 | 2014 |
| Application of logistic regression with part-of-the-speech tagging for multi-class text classification T Pranckevičius, V Marcinkevičius 2016 IEEE 4th Workshop on Advances in Information, Electronic and Electrical …, 2016 | 55 | 2016 |
| A new web-based solution for modelling data mining processes V Medvedev, O Kurasova, J Bernatavičienė, P Treigys, V Marcinkevičius, ... Simulation Modelling Practice and Theory 76, 34-46, 2017 | 54 | 2017 |
| Optimal decisions in combining the SOM with nonlinear projection methods J Bernatavičienė, G Dzemyda, O Kurasova, V Marcinkevičius European Journal of Operational Research 173 (3), 729-745, 2006 | 42 | 2006 |
| Efficient data projection for visual analysis of large data sets using neural networks V Medvedev, G Dzemyda, O Kurasova, V Marcinkevičius Informatica 22 (4), 507-520, 2011 | 30 | 2011 |
| Robust GNSS-denied localization for UAV using particle filter and visual odometry R Jurevičius, V Marcinkevičius, J Šeibokas Machine Vision and Applications 30 (7-8), 1181-1190, 2019 | 26 | 2019 |
| The problem of visual analysis of multidimensional medical data J Bernatavičienė, G Dzemyda, O Kurasova, V Marcinkevičius, ... Models and Algorithms for Global Optimization, 277-298, 2007 | 25 | 2007 |
| Conditions for optimal efficiency of relative MDS J Bernatavičienė, G Dzemyda, V Marcinkevičius Informatica 18 (2), 187-202, 2007 | 23 | 2007 |
| Comparison of Classification Algorithms for Detection of Phishing Websites P VAITKEVICIUS, V MARCINKEVICIUS INFORMATICA 31 (1), 143-160, 2020 | 22 | 2020 |
| Method for visual detection of similarities in medical streaming data J Bernataviciene, G Dzemyda, G Bazilevicius, V Medvedev, ... International Journal of Computers Communications & Control 10 (1), 8-21, 2014 | 17 | 2014 |
| Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets V Bulavas, V Marcinkevičius, J Rumiński Informatica 32 (3,), 441-475, 2021 | 13 | 2021 |
| Analysis of iris and pupil parameters for stress recognition P Treigys, V Marcinkevičius, A Kaklauskas Information Technology And Control 41 (1), 7-14, 2012 | 13 | 2012 |
| Dependence of locally linear embedding on the regularization parameter R Karbauskaitė, G Dzemyda, V Marcinkevičius Top 18 (2), 354-376, 2010 | 13 | 2010 |
| Diagonal majorization algorithm: properties and efficiency J Bernatavičienė, G Dzemyda, V Marcinkevičius Information technology and control 36 (4), 2007 | 13 | 2007 |
| Assessment of the optic nerve disc and excavation parameters of interactive and automated parameterization methods D Buteikienė, A Paunksnis, V Barzdžiukas, J Bernatavičienė, ... Informatica 23 (3), 335-355, 2012 | 9 | 2012 |
| Large-scale multidimensional data visualization: a web service for data mining G Dzemyda, V Marcinkevičius, V Medvedev European Conference on a Service-Based Internet, 14-25, 2011 | 9 | 2011 |
| Strategies of selecting the basis vector set in the relative MDS J Bernatavičiene, G Dzemyda, O Kurasova, V Marcinkevičius Technological and Economic Development of Economy 12 (4), 283-288, 2006 | 8 | 2006 |
| Strategies of selecting the basic vector set in the relative MDS V Marcinkevičius, J Bernatavičienė, G Dzemyda, O Kurasova Ūkio technologinis ir ekonominis vystymas= Technological and economic …, 2006 | 8* | 2006 |
| Detection of the Road Pothole Contour in Raster Images V Jakštys, V Marcinkevičius, P Treigys, J Tichonov Information Technology And Control 45 (3), 300-307, 2016 | 7 | 2016 |
