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Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques.

, , , , , и . ECIS, (2021)

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Oskar Svenson

Axel Svensson

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Uwe Svensson

Roswitha Svensson

 

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Best of Both Worlds: Combining Predictive Power with Interpretable and Explainable Results for Patient Pathway Prediction., , , , и . ECIS, (2023)Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques., , , , , и . ECIS, (2021)GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints., , , , и . ECIS, (2022)Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring., , , , , и . ICPM Workshops, том 406 из Lecture Notes in Business Information Processing, стр. 112-123. Springer, (2020)Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models., , , , и . HICSS, стр. 1488-1497. ScholarSpace, (2024)A Next Click Recommender System for Web-based Service Analytics with Context-aware LSTMs., , , и . HICSS, стр. 1-10. ScholarSpace, (2020)A technique for determining relevance scores of process activities using graph-based neural networks., , , и . Decis. Support Syst., (2021)A Method for Predicting Workarounds in Business Processes., , , , и . PACIS, стр. 108. (2022)Closing the Gap between Smart Manufacturing Applications and Data Management., , , и . Wirtschaftsinformatik (Community Tracks), стр. 120-136. GITO Verlag, (2020)Context-aware Explanations of Accurate Predictions in Service Processes., , , , , и . HICSS, стр. 1498-1507. ScholarSpace, (2024)