| Multidimensional data visualization G Dzemyda, O Kurasova, J Zilinskas Methods and applications series: Springer optimization and its applications …, 2013 | 193 | 2013 |
| Visual analysis of self-organizing maps P Stefanovič, O Kurasova Nonlinear Analysis: Modelling and Control 16 (4), 488-504, 2011 | 100 | 2011 |
| 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 | 92 | 2014 |
| Daugiamačių duomenų vizualizavimo metodai: vadovėlis informatikos krypties doktorantams ir magistrantams G Dzemyda, O Kurasova, J Žilinskas Vilnius: Mokslo aidai [ie Matematikos ir informatikos institutas], 2008 | 80 | 2008 |
| 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 | 55 | 2017 |
| Selection of the number of neighbours of each data point for the locally linear embedding algorithm R Karbauskaitė, O Kurasova, G Dzemyda Information technology and control 36 (4), 2007 | 43 | 2007 |
| 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 |
| Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization E Filatovas, O Kurasova, K Sindhya Informatica 26 (1), 33-50, 2015 | 39 | 2015 |
| Dimension Reduction and Data G Dzemyda, O Kurasova, V Medvedev Emerging Artificial Intelligence Applications in Computer Engineering: Real …, 2007 | 39 | 2007 |
| The n-grams based text similarity detection approach using self-organizing maps and similarity measures P Stefanovič, O Kurasova, R Štrimaitis Applied sciences 9 (9), 1870, 2019 | 35 | 2019 |
| A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search E Filatovas, A Lančinskas, O Kurasova, J Žilinskas Central European Journal of Operations Research 25, 859-878, 2017 | 32 | 2017 |
| 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 | 32 | 2011 |
| Heuristic approach for minimizing the projection error in the integrated mapping G Dzemyda, O Kurasova European Journal of Operational Research 171 (3), 859-878, 2006 | 32 | 2006 |
| Parallel bidirectional dijkstra's shortest path algorithm G Vaira, O Kurasova Databases and Information Systems VI, 422-435, 2011 | 29 | 2011 |
| Deep learning-based object recognition in multispectral satellite imagery for real-time applications P Gudžius, O Kurasova, V Darulis, E Filatovas Machine Vision and Applications 32 (4), 98, 2021 | 28 | 2021 |
| Genetic algorithm for VRP with constraints based on feasible insertion G Vaira, O Kurasova Informatica 25 (1), 155-184, 2014 | 28 | 2014 |
| Prediction of flight time deviation for lithuanian airports using supervised machine learning model P Stefanovič, R Štrimaitis, O Kurasova Computational Intelligence and Neuroscience 2020 (1), 8878681, 2020 | 27 | 2020 |
| Genetic algorithm for vehicle routing problem G Vaira | 27 | 2014 |
| Quality of quantization and visualization of vectors obtained by neural gas and self-organizing map O Kurasova, A Molytė Informatica 22 (1), 115-134, 2011 | 26 | 2011 |
| The problem of visual analysis of multidimensional medical data J Bernatavičienė, G Dzemyda, O Kurasova, V Marcinkevičius, ... Models and Algorithms for Global Optimization: Essays Dedicated to Antanas …, 2007 | 26 | 2007 |
Gintautas DzemydaProfessor, Vilnius University, Institute of Data Science and Digital TechnologiesAdresse e-mail validée de mii.vu.lt
