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BOYTSOV Andrey

Main Referenced Co-authors
BISSYANDE, Tegawendé  (2)
KLEIN, Jacques  (2)
ALLIX, Kevin  (1)
ARSLAN, Yusuf  (1)
BLE, Ulrick (1)
Main Referenced Keywords
Clustering (1); Explainable Machine Learning (1); Natural language processing (1); Rule Mining (1); SHAP Explanations (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Trustworthy Software Engineering (TruX) (1)
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
218 downloads
Arslan, Y., Lebichot, B., Allix, K., Veiber, L., Lefebvre, C., Boytsov, A., Goujon, A., Bissyande, T. F. D. A., & Klein, J. (2022). On the Suitability of SHAP Explanations for Refining Classifications. In In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022). doi:10.5220/0010827700003116 https://hdl.handle.net/10993/48926

The most cited

1 citations (Scopus®)

Arslan, Y., Lebichot, B., Allix, K., Veiber, L., Lefebvre, C., Boytsov, A., Goujon, A., Bissyande, T. F. D. A., & Klein, J. (2022). On the Suitability of SHAP Explanations for Refining Classifications. In In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022). doi:10.5220/0010827700003116 https://hdl.handle.net/10993/48926

SONG, Y., EZZINI, S., TANG, X., LOTHRITZ, C., KLEIN, J., BISSYANDE, T. F. D. A., BOYTSOV, A., BLE, U., & GOUJON, A. (In press). Enhancing Text-to-SQL Translation for Financial System Design. In ICSE-SEIP '24: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice (pp. 11). New York, United States: Institute of Electrical and Electronics Engineers Inc.
Peer reviewed

Arslan, Y., Lebichot, B., Allix, K., Veiber, L., Lefebvre, C., Boytsov, A., Goujon, A., Bissyande, T. F. D. A., & Klein, J. (2022). On the Suitability of SHAP Explanations for Refining Classifications. In In Proceedings of the 14th International Conference on Agents and Artificial Intelligence (ICAART 2022). doi:10.5220/0010827700003116
Peer reviewed

Glauner, P., Du, M., Paraschiv, V., Boytsov, A., Lopez Andrade, I., Meira, J. A., Valtchev, P., & State, R. (2017). The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. In Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017).
Peer reviewed

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