| Selection of support vector machines based classifiers for credit risk domain P Danenas, G Garsva Expert systems with applications 42 (6), 3194-3204, 2015 | 189 | 2015 |
| Credit risk evaluation model development using support vector based classifiers P Danenas, G Garsva, S Gudas Procedia Computer Science 4, 1699-1707, 2011 | 79 | 2011 |
| Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams P Danenas, T Skersys, R Butleris Data & Knowledge Engineering 128, 101822, 2020 | 52 | 2020 |
| Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach P Danenas, G Garsva Procedia Computer Science 9, 1324-1333, 2012 | 39 | 2012 |
| Particle swarm optimization for linear support vector machines based classifier selection G Garšva, P Danėnas Nonlinear Analysis: Modelling and Control 19 (1), 26-42, 2014 | 36 | 2014 |
| Support vector machines and their application in credit risk evaluation process P Danėnas, G Garšva Vilnius University, 2010 | 34 | 2010 |
| SVM and k-Means Hybrid Method for Textual Data Sentiment Analysis. K Korovkinas, P Danenas, G Garšva Baltic Journal of Modern Computing 7 (1), 2019 | 32 | 2019 |
| Extracting SBVR business vocabularies and business rules from UML use case diagrams T Skersys, P Danenas, R Butleris Journal of Systems and Software 141, 111-130, 2018 | 31 | 2018 |
| SVM and Naïve Bayes classification ensemble method for sentiment analysis K Korovkinas, P Danėnas, G Garšva Baltic journal of modern computing 5 (4), 398-409, 2017 | 28 | 2017 |
| Credit risk evaluation using SVM-based classifier P Danenas, G Garsva Business Information Systems Workshops: BIS 2010 International Workshops …, 2010 | 15 | 2010 |
| Support vector machine parameter tuning based on particle swarm optimization metaheuristic K Korovkinas, P Danėnas, G Garšva Nonlinear analysis: modelling and control 25 (2), 266-281, 2020 | 12 | 2020 |
| SVM accuracy and training speed trade-off in sentiment analysis tasks K Korovkinas, P Danėnas, G Garšva Information and Software Technologies: 24th International Conference, ICIST …, 2018 | 12 | 2018 |
| SVM and XBRL based decision support system for credit risk evaluation P Danenas, G Garsva Proc. of the 17th International Conference on Information and Software …, 2011 | 9 | 2011 |
| Model-based M2M transformations based on drag-and-drop actions: Approach and implementation T Skersys, P Danenas, R Butleris Journal of Systems and Software 122, 327-341, 2016 | 8 | 2016 |
| Domain driven development and feature driven development for development of decision support systems P Danenas, G Garsva Information and Software Technologies: 18th International Conference, ICIST …, 2012 | 8 | 2012 |
| Two-step meta-learning for time-series forecasting ensemble E Vaiciukynas, P Danenas, V Kontrimas, R Butleris IEEE Access 9, 62687-62696, 2021 | 7 | 2021 |
| Intelligent Financial Fraud Detection and Analysis: a Survey of Recent Patents P Danenas Recent Patents on Computer Science 7, 2015 | 7 | 2015 |
| Approach for semi-automatic extraction of business vocabularies and rules from use case diagrams T Skersys, P Danenas, R Butleris Enterprise Engineering Working Conference, 182-196, 2014 | 7 | 2014 |
| Exploring natural language processing in model-to-model transformations P Danenas, T Skersys IEEE Access 10, 116942-116958, 2022 | 6 | 2022 |
| Extending drag-and-drop actions-based model-to-model transformations with natural language processing P Danenas, T Skersys, R Butleris Applied Sciences 10 (19), 6835, 2020 | 6 | 2020 |
