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Why Industry 5.0 Needs XAI 2.0?

, , , , , , , , , and . xAI (Late-breaking Work, Demos, Doctoral Consortium), volume 3554 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2023)

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Towards Understanding ICU Treatments Using Patient Health Trajectories., , and . KR4HC/ProHealth/TEAAM@AIME, volume 11979 of Lecture Notes in Computer Science, page 67-81. Springer, (2019)Parallel orthogonal deep neural network., , and . Neural Networks, (2021)Pitfalls of Affective Computing: How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks., , , , and . WWW (Companion Volume), page 1563-1566. ACM, (2018)Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping., , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 226-241. Springer, (2023)Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data., , , , and . IDA (1), volume 14641 of Lecture Notes in Computer Science, page 65-76. Springer, (2024)Analysis of characteristic functions on Shapley values in Machine Learning., , and . IE, page 70-77. IEEE, (2024)Predicting Air Compressor Failures Using Long Short Term Memory Networks., , , and . EPIA (1), volume 11804 of Lecture Notes in Computer Science, page 596-609. Springer, (2019)Warranty Claim Rate Prediction Using Logged Vehicle Data., , and . EPIA (1), volume 11804 of Lecture Notes in Computer Science, page 663-674. Springer, (2019)Interactive-COSMO: Consensus Self-Organized Models for Fault Detection with Expert Feedback., , , and . IDM@WSDM, page 5:1-5:9. ACM, (2019)Transfer learning for remaining useful life prediction based on consensus self-organizing models., , and . Reliab. Eng. Syst. Saf., (2020)