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G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.

, , , , , , , and . Artif. Intell., (2023)

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Semantic Translation for Rule-Based Knowledge in Data Mining., , and . DEXA (2), volume 6861 of Lecture Notes in Computer Science, page 74-89. Springer, (2011)Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control., , and . IJCAI, page 5153-5159. ijcai.org, (2019)Online Reasoning for Semantic Error Detection in Text., , , and . J. Data Semant., 6 (3): 139-153 (2017)An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness., , , and . SN Comput. Sci., 2 (1): 32 (2021)COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization., , , , and . Neural Process. Lett., 54 (6): 4735-4749 (2022)Multi-Job Intelligent Scheduling With Cross-Device Federated Learning., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (2): 535-551 (February 2023)Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond., , , , , , , and . CoRR, (2021)Using multiple ontologies in information extraction., and . CIKM, page 235-244. ACM, (2009)Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies., , , , , and . KDD, page 270-279. ACM, (2007)JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu., , , , , , , , , and 2 other author(s). KDD, page 3289-3298. ACM, (2021)