| Multidimensional data visualization G Dzemyda, O Kurasova, J Zilinskas Methods and applications series: Springer optimization and its applications …, 2013 | 181 | 2013 |
| Visual analysis of self-organizing maps P Stefanovič, O Kurasova Nonlinear Analysis: Modelling and Control 16 (4), 488-504, 2011 | 93 | 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 | 91 | 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 | 79 | 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 |
| Dimension Reduction and Data G Dzemyda, O Kurasova, V Medvedev Emerging Artificial Intelligence Applications in Computer Engineering: Real …, 2007 | 39 | 2007 |
| 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 | 38 | 2015 |
| 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 | 33 | 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 |
| 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 | 31 | 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 |
| Genetic algorithm for vehicle routing problem G Vaira | 26 | 2014 |
| Parallel bidirectional Dijkstra’s shortest path algorithm G Vaira, O Kurasova Databases and Information Systems VI, Frontiers in Artificial Intelligence …, 2011 | 26 | 2011 |
| Genetic algorithm for VRP with constraints based on feasible insertion G Vaira, O Kurasova Informatica 25 (1), 155-184, 2014 | 25 | 2014 |
| 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 | 25 | 2007 |
| Comparative analysis of the graphical result presentation in the SOM software G Dzemyda, O Kurasova Informatica 13 (3), 275-286, 2002 | 25 | 2002 |
| 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 | 24 | 2011 |
| Emotional, affective and biometrical states analytics of a built environment A Kaklauskas, A Abraham, G Dzemyda, S Raslanas, M Seniut, I Ubarte, ... Engineering Applications of Artificial Intelligence 91, 103621, 2020 | 23 | 2020 |
Gintautas DzemydaProfessor, Vilnius University, Institute of Data Science and Digital Technologies在 mii.vu.lt 的电子邮件经过验证
