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ORCIDPaulius Danenas
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- affiliation: Kaunas University of Technology, Lithuania
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Journal Articles
- 2022
[j8]Paulius Danenas
, Tomas Skersys:
Exploring Natural Language Processing in Model-To-Model Transformations. IEEE Access 10: 116942-116958 (2022)- 2021
- [j7]Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Two-Step Meta-Learning for Time-Series Forecasting Ensemble. IEEE Access 9: 62687-62696 (2021) - 2020
- [j6]Paulius Danenas, Tomas Skersys, Rimantas Butleris:
Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams. Data Knowl. Eng. 128: 101822 (2020) - 2019
- [j5]Konstantinas Korovkinas, Paulius Danenas, Gintautas Garsva:
SVM and k-Means Hybrid Method for Textual Data Sentiment Analysis. Balt. J. Mod. Comput. 7(1) (2019) - 2018
- [j4]Tomas Skersys, Paulius Danenas, Rimantas Butleris:
Extracting SBVR business vocabularies and business rules from UML use case diagrams. J. Syst. Softw. 141: 111-130 (2018) - 2017
- [j3]Konstantinas Korovkinas, Paulius Danenas:
SVM and Naïve Bayes Classification Ensemble Method for Sentiment Analysis. Balt. J. Mod. Comput. 5(4) (2017) - 2016
- [j2]Tomas Skersys, Paulius Danenas, Rimantas Butleris:
Model-based M2M transformations based on drag-and-drop actions: Approach and implementation. J. Syst. Softw. 122: 327-341 (2016) - 2015
- [j1]Paulius Danenas, Gintautas Garsva:
Selection of Support Vector Machines based classifiers for credit risk domain. Expert Syst. Appl. 42(6): 3194-3204 (2015)
Conference and Workshop Papers
- 2019
- [c9]Paulius Danenas, Tomas Skersys, Rimantas Butleris:
Enhancing the extraction of SBVR business vocabularies and business rules from UML use case diagrams with natural language processing. PCI 2019: 1-8 - 2018
- [c8]Konstantinas Korovkinas, Paulius Danenas, Gintautas Garsva:
SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis Tasks. ICIST 2018: 227-239 - 2014
- [c7]Tomas Skersys, Paulius Danenas, Rimantas Butleris:
Approach for Semi-automatic Extraction of Business Vocabularies and Rules from Use Case Diagrams. EEWC 2014: 182-196 - 2012
- [c6]Paulius Danenas, Gintautas Garsva:
Credit Risk Modeling of USA Manufacturing Companies Using Linear SVM and Sliding Window Testing Approach. BIS 2012: 249-259 - [c5]Paulius Danenas, Gintautas Garsva:
PSO-based Linear SVM Classifier Selection for Credit Risk Evaluation Modeling Process. ICEIS (1) 2012: 338-341 - [c4]Paulius Danenas, Gintautas Garsva:
Domain Driven Development and Feature Driven Development for Development of Decision Support Systems. ICIST 2012: 187-198 - [c3]Paulius Danenas, Gintautas Garsva:
Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach. ICCS 2012: 1324-1333 - 2011
- [c2]Paulius Danenas, Gintautas Garsva, Saulius Gudas:
Credit Risk Evaluation Model Development Using Support Vector Based Classifiers. ICCS 2011: 1699-1707 - 2010
- [c1]Paulius Danenas, Gintautas Garsva:
Credit Risk Evaluation Using SVM-Based Classifier. BIS (Workshops) 2010: 7-12
Informal and Other Publications
- 2020
- [i1]Evaldas Vaiciukynas, Paulius Danenas, Vilius Kontrimas, Rimantas Butleris:
Meta-Learning for Time Series Forecasting Ensemble. CoRR abs/2011.10545 (2020)
Coauthor Index
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