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Gintautas Garsva
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2010 – 2019
- 2019
- [j2]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
- [c10]Konstantinas Korovkinas, Paulius Danenas, Gintautas Garsva
:
SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis Tasks. ICIST 2018: 227-239 - 2015
- [j1]Paulius Danenas
Selection of Support Vector Machines based classifiers for credit risk domain. Expert Syst. Appl. 42(6): 3194-3204 (2015) - 2012
- [c9]Paulius Danenas
Credit Risk Modeling of USA Manufacturing Companies Using Linear SVM and Sliding Window Testing Approach. BIS 2012: 249-259 - [c8]Paulius Danenas, Gintautas Garsva:
PSO-based Linear SVM Classifier Selection for Credit Risk Evaluation Modeling Process. ICEIS (1) 2012: 338-341 - [c7]Paulius Danenas
Domain Driven Development and Feature Driven Development for Development of Decision Support Systems. ICIST 2012: 187-198 - [c6]Paulius Danenas
Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach. ICCS 2012: 1324-1333 - 2011
- [c5]Paulius Danenas
Credit Risk Evaluation Model Development Using Support Vector Based Classifiers. ICCS 2011: 1699-1707 - 2010
- [c4]Paulius Danenas
Credit Risk Evaluation Using SVM-Based Classifier. BIS (Workshops) 2010: 7-12
2000 – 2009
- 2007
- [c3]Egidijus Merkevicius, Gintautas Garsva, Rimvydas Simutis:
Neuro-discriminate Model for the Forecasting of Changes of Companies Financial Standings on the Basis of Self-organizing Maps. International Conference on Computational Science (2) 2007: 439-446 - [c2]Egidijus Merkevicius, Gintautas Garsva, Stasys Girdzijauskas, Vitolis Sekliuckis:
Forecasting of Changes of Companies Financial Standings on the Basis of Self-Organizing Maps. ICEIS (2) 2007: 416-419 - 2006
- [c1]Egidijus Merkevicius, Gintautas Garsva
A Hybrid SOM-Altman Model for Bankruptcy Prediction. International Conference on Computational Science (4) 2006: 364-371
Coauthor Index
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