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Towards Refined Classifications Driven by SHAP Explanations., , , , , , , , и . CD-MAKE, том 13480 из Lecture Notes in Computer Science, стр. 68-81. Springer, (2022)Search-based adversarial testing and improvement of constrained credit scoring systems., , , , , , и . ESEC/SIGSOFT FSE, стр. 1089-1100. ACM, (2020)A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain., , , , , , и . WWW (Companion Volume), стр. 260-268. ACM / IW3C2, (2021)Comparing Pre-Training Schemes for Luxembourgish BERT Models., , , , , , , , и . KONVENS, стр. 17-27. Association for Computational Lingustics, (2023)Enhancing Text-to-SQL Translation for Financial System Design., , , , , , , , и . ICSE-SEIP, стр. 252-262. ACM, (2024)On the Suitability of SHAP Explanations for Refining Classifications., , , , , , , , и . ICAART (3), стр. 395-402. SCITEPRESS, (2022)Evaluating the Impact of Text De-Identification on Downstream NLP Tasks., , , , , , , , и . NoDaLiDa, стр. 10-16. University of Tartu Library, (2023)LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish., , , , , , , , и . LREC, стр. 5080-5089. European Language Resources Association, (2022)