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ORCIDAndrás Kicsi
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- affiliation: University of Szeged, Hungary
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2020 – today
- 2024
[c11]Klaudia Szabó Ledenyi, András Kicsi, László Vidács:
A Deep Dive into GPT-4's Data Mining Capabilities for Free-Text Spine Radiology Reports. DATA 2024: 82-92- 2022
- [c10]András Kicsi
, Péter Sánta, Dániel Horváth, Norbert Kohegyi, Viktor Szvoreny, Veronika Vincze, Eszter Fozo, László Vidács:
Computer-Aided Forensic Authorship Identification in Criminology. ICCSA (Workshops 5) 2022: 576-592 - 2021
- [j2]András Kicsi, Viktor Csuvik, László Vidács:
Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches. IEEE Access 9: 79089-79104 (2021) - [c9]András Kicsi, Klaudia Szabó Ledenyi, Péter Pusztai, László Vidács:
Automatic Classification and Entity Relation Detection in Hungarian Spinal MRI Reports. SEH@ICSE 2021: 13-19 - 2020
- [c8]András Kicsi, László Vidács, Tibor Gyimóthy:
TestRoutes: A Manually Curated Method Level Dataset for Test-to-Code Traceability. MSR 2020: 593-597
2010 – 2019
- 2019
- [j1]András Kicsi, Viktor Csuvik, László Vidács, Ferenc Horváth, Árpád Beszédes, Tibor Gyimóthy, Ferenc Kocsis:
Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption. J. Syst. Softw. 155: 70-90 (2019) - [c7]Viktor Csuvik, András Kicsi, László Vidács:
Evaluation of Textual Similarity Techniques in Code Level Traceability. ICCSA (4) 2019: 529-543 - [c6]Viktor Csuvik, András Kicsi, László Vidács:
Source code level word embeddings in aiding semantic test-to-code traceability. SST@ICSE 2019: 29-36 - [c5]András Kicsi, Márk Rákóczi, László Vidács:
Exploration and Mining of Source Code Level Traceability Links on Stack Overflow. ICSOFT 2019: 339-346 - 2018
- [c4]András Kicsi, Viktor Csuvik, László Vidács, Árpád Beszédes, Tibor Gyimóthy:
Feature Level Complexity and Coupling Analysis in 4GL Systems. ICCSA (5) 2018: 438-453 - [c3]András Kicsi, László Tóth, László Vidács:
Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. RAISE@ICSE 2018: 8-14 - [c2]András Kicsi, László Vidács, Viktor Csuvik, Ferenc Horváth, Árpád Beszédes, Ferenc Kocsis:
Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. ICSR 2018: 148-163 - 2017
- [c1]András Kicsi, László Vidács, Árpád Beszédes, Ferenc Kocsis, István Kovács:
Information retrieval based feature analysis for product line adoption in 4GL systems. ICCSA (7) 2017: 1-6
Coauthor Index
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