Jernej Flisar, Vili Podgorelec. Enhanced Feature Selection Using Word Embeddings for Self-Admitted Technical Debt Identification. In Tomás Bures, Lefteris Angelis, editors, 44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018, Prague, Czech Republic, August 29-31, 2018. pages 230-233, IEEE Computer Society, 2018. [doi]
@inproceedings{FlisarP18,
title = {Enhanced Feature Selection Using Word Embeddings for Self-Admitted Technical Debt Identification},
author = {Jernej Flisar and Vili Podgorelec},
year = {2018},
doi = {10.1109/SEAA.2018.00045},
url = {http://doi.ieeecomputersociety.org/10.1109/SEAA.2018.00045},
researchr = {https://researchr.org/publication/FlisarP18},
cites = {0},
citedby = {0},
pages = {230-233},
booktitle = {44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018, Prague, Czech Republic, August 29-31, 2018},
editor = {Tomás Bures and Lefteris Angelis},
publisher = {IEEE Computer Society},
isbn = {978-1-5386-7383-6},
}