Gintautas Garsva

Publication Activity (10 Years)

Years Active: 2006-2019
Publications (10 Years): 2

Top Topics

Sentiment Analysis

Credit Risk Evaluation

Decision Support

Top Venues

Publications

Konstantinas Korovkinas, Paulius Danenas, Gintautas Garsva
SVM and k-Means Hybrid Method for Textual Data Sentiment Analysis. Balt. J. Mod. Comput. 7 (1) (2019)
Konstantinas Korovkinas, Paulius Danenas, Gintautas Garsva
SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis Tasks. ICIST (2018)
Paulius Danenas, Gintautas Garsva
Selection of Support Vector Machines based classifiers for credit risk domain. Expert Syst. Appl. 42 (6) (2015)
Paulius Danenas, Gintautas Garsva
Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approach. ICCS (2012)
Paulius Danenas, Gintautas Garsva
Credit Risk Modeling of USA Manufacturing Companies Using Linear SVM and Sliding Window Testing Approach. BIS (2012)
Paulius Danenas, Gintautas Garsva
PSO-based Linear SVM Classifier Selection for Credit Risk Evaluation Modeling Process. ICEIS (1) (2012)
Paulius Danenas, Gintautas Garsva
Domain Driven Development and Feature Driven Development for Development of Decision Support Systems. ICIST (2012)
Paulius Danenas, Gintautas Garsva, Saulius Gudas
Credit Risk Evaluation Model Development Using Support Vector Based Classifiers. ICCS (2011)
Paulius Danenas, Gintautas Garsva
Credit Risk Evaluation Using SVM-Based Classifier. BIS (Workshops) (2010)
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)
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)
Egidijus Merkevicius, Gintautas Garsva, Stasys Girdzijauskas
A Hybrid SOM-Altman Model for Bankruptcy Prediction. International Conference on Computational Science (4) (2006)