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Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms.

, , , , and . SIGIR, page 1201-1210. ACM, (2020)

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A Novel Approach for Process Mining Based on Event Types, , , and . (2004)An Approach to Identifying False Traces in Process Event Logs., , and . PAKDD (2), volume 7819 of Lecture Notes in Computer Science, page 533-545. Springer, (2013)Discovering BPMN Models with Sub-processes and Multi-instance Markers., , , , and . OTM Conferences, volume 9415 of Lecture Notes in Computer Science, page 185-201. Springer, (2015)Detecting Implicit Dependencies Between Tasks from Event Logs., , and . APWeb, volume 3841 of Lecture Notes in Computer Science, page 591-603. Springer, (2006)A workflow net similarity measure based on transition adjacency relations., , , , and . Comput. Ind., 61 (5): 463-471 (2010)Mining process models with non-free-choice constructs., , , and . Data Min. Knowl. Discov., 15 (2): 145-180 (2007)Measuring Business Process Behavioral Similarity Based on Token Log Profile., , , , , and . IEEE Trans. Serv. Comput., 15 (6): 3344-3357 (2022)Efficient Selection of Process Mining Algorithms., , , , and . IEEE Trans. Serv. Comput., 6 (4): 484-496 (2013)Discovering Hierarchical Multi-Instance Business Processes From Event Logs., , , , , and . IEEE Trans. Serv. Comput., 17 (1): 142-155 (January 2024)ROME: Memorization Insights from Text, Probability and Hidden State in Large Language Models., , and . CoRR, (2024)