Titlebook: Machine Learning and Knowledge Extraction; 6th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2022

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Federico Cabitza,Andrea Campagner,Lorenzo Famiglini

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André M. Carrington,Paul W. Fieguth,Franz Mayr,Nick D. James,Andreas Holzinger,John W. Pickering,Ric

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Vladimir Marochko,Richard Reilly,Rachel McDonnell,Luca Longo

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,Explain to?Not Forget: Defending Against Catastrophic Forgetting with?XAI,al networks. Unfortunately, the traditional optimization algorithms often require large amounts of data available during training time and updates w.r.t. new data are difficult after the training process has been completed. In fact, when new data or tasks arise, previous progress may be lost as neur

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