Gintautas Garšva
About
Gintautas Garšva has authored 11 papers that have received a total of 223 indexed citations.
This includes 9 papers in Artificial Intelligence, 5 papers in Accounting and 2 papers in Electrical and Electronic Engineering. The topics of these papers are Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Organic Light-Emitting Diodes Research (2 papers). Gintautas Garšva is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Organic Light-Emitting Diodes Research (2 papers) and collaborates with scholars based in Lithuania and Taiwan. Gintautas Garšva's co-authors include Paulius Danėnas, Saulius Grigalevičius, Juozas V. Gražulevičius, Vygintas Jankauskas and Jwo‐Huei Jou and has published in prestigious journals such as Expert Systems with Applications, Journal of Photochemistry and Photobiology A Chemistry and Dyes and Pigments
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