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Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation., and . CoRR, (2019)Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering., , , and . Comput. Biol. Medicine, (2022)Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks., , , , , , and . NAACL-HLT, page 3917-3930. Association for Computational Linguistics, (2021)Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing., , , , and . BlackboxNLP@EMNLP, page 420-434. Association for Computational Linguistics, (2021)Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers., and . EMNLP (1), page 4236-4251. Association for Computational Linguistics, (2020)REV: Information-Theoretic Evaluation of Free-Text Rationales., , , , , and . ACL (1), page 2007-2030. Association for Computational Linguistics, (2023)A Two-Dimensional Constellation Design Method for Visible Light Communications With Signal-Dependent Shot Noise., and . IEEE Communications Letters, 22 (9): 1786-1789 (2018)Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation., and . AAAI, page 10463-10472. AAAI Press, (2022)An Automatic R-peak Detection Method Based on Hierarchical Clustering., and . BioCAS, page 1-4. IEEE, (2019)REV: Information-Theoretic Evaluation of Free-Text Rationales., , , , , and . CoRR, (2022)