Credit Risk Evaluation Using SVM-Based Classifier. - Paulius Danenas; Gintautas Garsva (BIS (Workshops), 2010)

Credit Risk Evaluation Model Development Using Support Vector Based Classifiers. - Paulius Danenas; Gintautas Garsva; Saulius Gudas (ICCS, 2011)

Credit Risk Modeling of USA Manufacturing Companies Using Linear SVM and Sliding Window Testing Approach. - Paulius Danenas; Gintautas Garsva (BIS, 2012)

PSO-based Linear SVM Classifier Selection for Credit Risk Evaluation Modeling Process. - Paulius Danenas; Gintautas Garsva (ICEIS (1), 2012)

Domain Driven Development and Feature Driven Development for Development of Decision Support Systems. - Paulius Danenas; Gintautas Garsva (ICIST, 2012)

Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach. - Paulius Danenas; Gintautas Garsva (ICCS, 2012)

Approach for Semi-automatic Extraction of Business Vocabularies and Rules from Use Case Diagrams. - Tomas Skersys; Paulius Danenas; Rimantas Butleris (EEWC, 2014)

Selection of Support Vector Machines based classifiers for credit risk domain. - Paulius Danenas; Gintautas Garsva (Expert Syst. Appl., 2015)

Model-based M2M transformations based on drag-and-drop actions: Approach and implementation. - Tomas Skersys; Paulius Danenas; Rimantas Butleris (J. Syst. Softw., 2016)

SVM and Naïve Bayes Classification Ensemble Method for Sentiment Analysis. - Konstantinas Korovkinas; Paulius Danenas (Balt. J. Mod. Comput., 2017)

SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis Tasks. - Konstantinas Korovkinas; Paulius Danenas; Gintautas Garsva (ICIST, 2018)

Extracting SBVR business vocabularies and business rules from UML use case diagrams. - Tomas Skersys; Paulius Danenas; Rimantas Butleris (J. Syst. Softw., 2018)

Enhancing the extraction of SBVR business vocabularies and business rules from UML use case diagrams with natural language processing. - Paulius Danenas; Tomas Skersys; Rimantas Butleris (PCI, 2019)

SVM and k-Means Hybrid Method for Textual Data Sentiment Analysis. - Konstantinas Korovkinas; Paulius Danenas; Gintautas Garsva (Balt. J. Mod. Comput., 2019)

Meta-Learning for Time Series Forecasting Ensemble. - Evaldas Vaiciukynas; Paulius Danenas; Vilius Kontrimas; Rimantas Butleris (CoRR, 2020)

Natural language processing-enhanced extraction of SBVR business vocabularies and business rules from UML use case diagrams. - Paulius Danenas; Tomas Skersys; Rimantas Butleris (Data Knowl. Eng., 2020)

Two-Step Meta-Learning for Time-Series Forecasting Ensemble. - Evaldas Vaiciukynas; Paulius Danenas; Vilius Kontrimas; Rimantas Butleris (IEEE Access, 2021)

Exploring Natural Language Processing in Model-To-Model Transformations. - Paulius Danenas; Tomas Skersys (IEEE Access, 2022)