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Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter.

, , , , , , and . ER (Workshops), volume 12584 of Lecture Notes in Computer Science, page 35-45. Springer, (2020)

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Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation., , , , , , and . CoRR, (2020)Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter., , , , , , and . ER (Workshops), volume 12584 of Lecture Notes in Computer Science, page 35-45. Springer, (2020)Generating an Overview Report over Many Documents., , , , , and . CoRR, (2019)DTATG: An Automatic Title Generator based on Dependency Trees., and . CoRR, (2017)Robust Single-Document Summarizations and a Semantic Measurement of Quality., , and . IC3K, volume 976 of Communications in Computer and Information Science, page 118-138. Springer, (2017)Efficient and Effective Single-Document Summarizations and a Word-Embedding Measurement of Quality., , , and . KDIR, page 114-122. SciTePress, (2017)An Effective Scheme for Generating An Overview Report over A Very Large Corpus of Documents., , , , , and . DocEng, page 18:1-18:11. ACM, (2019)Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms., , , , , , , , , and 2 other author(s). SoCC, page 441-452. ACM, (2019)DTATG: An Automatic Title Generator based on Dependency Trees., and . KDIR, page 166-173. SciTePress, (2016)Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models., , , , , , , , and . ACL (Findings), page 1762-1773. Association for Computational Linguistics, (2023)