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The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks.

, , , and . IEEE Trans. Neural Networks, 9 (6): 1057-1068 (1998)

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Real DJs Code Live. http://wired.com/, (July 2006)Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks, , , , and . volume 1778 of LNCS, page 226--239. Springer, Berlin, Germany, (2000)xPM: Enhancing exogenous data visibility., , , , , and . Artif. Intell. Medicine, (2022)A Case Study Lens on Process Mining in Practice., , and . OTM Conferences, volume 11877 of Lecture Notes in Computer Science, page 127-145. Springer, (2019)Pre-hospital Retrieval and Transport of Road Trauma Patients in Queensland - A Process Mining Analysis., , , , , , and . Business Process Management Workshops, volume 342 of Lecture Notes in Business Information Processing, page 199-213. Springer, (2018)Improving Patient Flows at St. Andrew's War Memorial Hospital's Emergency Department Through Process Mining., , , , and . Business Process Management Cases, Springer, (2018)Signpost - a Semiotics-based Process Mining Methodology., , , and . ECIS, (2020)Alohomora: Unlocking Data Quality Causes Through Event Log Context., , , and . ECIS, (2020)Survey and critique of techniques for extracting rules from trained artificial neural networks., , and . Knowl. Based Syst., 8 (6): 373-389 (1995)Towards interactive event log forensics: Detecting and quantifying timestamp imperfections., , , , , and . Inf. Syst., (2022)