Gintautas Garsva - researchr alias

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Viewing Publication 1 - 12 from 12

2019

SVM and k-Means Hybrid Method for Textual Data Sentiment AnalysisKonstantinas Korovkinas, Paulius Danenas, Gintautas Garsva. bjmc, 7(1), 2019. [doi]

2018

SVM Accuracy and Training Speed Trade-Off in Sentiment Analysis TasksKonstantinas Korovkinas, Paulius Danenas, Gintautas Garsva. ICIST 2018: 227-239 [doi]

2015

Selection of Support Vector Machines based classifiers for credit risk domainPaulius Danenas, Gintautas Garsva. eswa, 42(6):3194-3204, 2015. [doi]

2012

PSO-based Linear SVM Classifier Selection for Credit Risk Evaluation Modeling ProcessPaulius Danenas, Gintautas Garsva. ICEIS 2012: 338-341

Domain Driven Development and Feature Driven Development for Development of Decision Support SystemsPaulius Danenas, Gintautas Garsva. ICIST 2012: 187-198 [doi]

Credit risk evaluation modeling using evolutionary linear SVM classifiers and sliding window approachPaulius Danenas, Gintautas Garsva. iccs 2012: 1324-1333 [doi]

Credit Risk Modeling of USA Manufacturing Companies Using Linear SVM and Sliding Window Testing ApproachPaulius Danenas, Gintautas Garsva. bis 2012: 249-259 [doi]

2011

Credit Risk Evaluation Model Development Using Support Vector Based ClassifiersPaulius Danenas, Gintautas Garsva, Saulius Gudas. procedia, 4:1699-1707, 2011. [doi]

2010

Credit Risk Evaluation Using SVM-Based ClassifierPaulius Danenas, Gintautas Garsva. bis 2010: 7-12 [doi]

2007

Forecasting of Changes of Companies Financial Standings on the Basis of Self-Organizing MapsEgidijus Merkevicius, Gintautas Garsva, Stasys Girdzijauskas, Vitolis Sekliuckis. ICEIS 2007: 416-419

Neuro-discriminate Model for the Forecasting of Changes of Companies Financial Standings on the Basis of Self-organizing MapsEgidijus Merkevicius, Gintautas Garsva, Rimvydas Simutis. iccS 2007: 439-446 [doi]

2006

A Hybrid SOM-Altman Model for Bankruptcy PredictionEgidijus Merkevicius, Gintautas Garsva, Stasys Girdzijauskas. iccS 2006: 364-371 [doi]

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