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Explainable for Trustworthy AI.

, , and . ACAI, volume 13500 of Lecture Notes in Computer Science, page 175-195. Springer, (2021)

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Multidimensional networks: foundations of structural analysis., , , , and . World Wide Web, 16 (5-6): 567-593 (2013)Understanding Any Time Series Classifier with a Subsequence-based Explainer., , , , , and . ACM Trans. Knowl. Discov. Data, 18 (2): 36:1-36:34 (February 2024)Programming with Non-Determinism in Deductive Databases., , , and . Ann. Math. Artif. Intell., 19 (1-2): 97-125 (1997)PRIMULE: Privacy risk mitigation for user profiles., , , , and . Data Knowl. Eng., (2020)Explainable for Trustworthy AI., , and . ACAI, volume 13500 of Lecture Notes in Computer Science, page 175-195. Springer, (2021)Evaluating the Privacy Exposure of Interpretable Global Explainers., , and . CogMI, page 13-19. IEEE, (2022)Clustering Individual Transactional Data for Masses of Users., , , , and . KDD, page 195-204. ACM, (2017)Meaningful Explanations of Black Box AI Decision Systems., , , , , and . AAAI, page 9780-9784. AAAI Press, (2019)A modularized framework for explaining hierarchical attention networks on text classifiers., , , , , , and . Canadian AI, Canadian Artificial Intelligence Association, (2021)Using Data Mining Techniques in Fiscal Fraud Detection., , , and . DaWaK, volume 1676 of Lecture Notes in Computer Science, page 369-376. Springer, (1999)