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ARSLAN Yusuf

Main Referenced Co-authors
ALLIX, Kevin  (5)
BISSYANDE, Tegawendé  (5)
KLEIN, Jacques  (5)
VEIBER, Lisa  (4)
Goujon, Anne (3)
Main Referenced Keywords
SHAP Explanations (2); Clustering (1); Explainable Machine Learning (1); explanations (1); Financial Text Classification (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > TruX - Trustworthy Software Engineering (1)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Trustworthy Software Engineering (TruX) (1)
Main Referenced Disciplines
Computer science (6)

Publications (total 6)

The most downloaded
341 downloads
ARSLAN, Y., LEBICHOT, B., ALLIX, K., VEIBER, L., Lefebvre, C., Boytsov, A., Goujon, A., BISSYANDE, T. F. D. A., & KLEIN, J. (2022). Towards Refined Classifications Driven by SHAP Explanations. In A. Holzinger, P. Kieseberg, A. M. Tjoa, ... E. Weippl (Eds.), Machine Learning and Knowledge Extraction (pp. 68-81). Springer. https://hdl.handle.net/10993/52114

The most cited

47 citations (OpenAlex)

ARSLAN, Y., ALLIX, K., VEIBER, L., LOTHRITZ, C., BISSYANDE, T. F. D. A., KLEIN, J., & Goujon, A. (2021). A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (pp. 260–268). New York, United States: Association for Computing Machinery. doi:10.1145/3442442.3451375 https://hdl.handle.net/10993/47288

ARSLAN, Y. (2023). On the Integration of Interpretable Machine Learning Techniques to Machine Learning Pipeline [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55513

ARSLAN, Y., LEBICHOT, B., ALLIX, K., VEIBER, L., Lefebvre, C., Boytsov, A., Goujon, A., BISSYANDE, T. F. D. A., & KLEIN, J. (2022). Towards Refined Classifications Driven by SHAP Explanations. In A. Holzinger, P. Kieseberg, A. M. Tjoa, ... E. Weippl (Eds.), Machine Learning and Knowledge Extraction (pp. 68-81). Springer.
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

ARSLAN, Y., ALLIX, K., Lefebvre, C., Boytsov, A., BISSYANDE, T. F. D. A., & KLEIN, J. (2022). Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 1449-1454). doi:10.1109/ICMLA55696.2022.00228
Peer reviewed

ARSLAN, Y., ALLIX, K., VEIBER, L., LOTHRITZ, C., BISSYANDE, T. F. D. A., KLEIN, J., & Goujon, A. (2021). A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain. In Companion Proceedings of the Web Conference 2021 (WWW '21 Companion), April 19--23, 2021, Ljubljana, Slovenia (pp. 260–268). New York, United States: Association for Computing Machinery. doi:10.1145/3442442.3451375
Peer reviewed

VEIBER, L., ALLIX, K., ARSLAN, Y., BISSYANDE, T. F. D. A., & KLEIN, J. (2020). Challenges Towards Production-Ready Explainable Machine Learning. In L. VEIBER, K. ALLIX, Y. ARSLAN, T. F. D. A. BISSYANDE, ... J. KLEIN, Proceedings of the 2020 USENIX Conference on Operational Machine Learning (OpML 20). USENIX Association.
Peer reviewed

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