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Autor:
Anna-Christina Glock
Publikováno v:
Procedia Computer Science. 180:476-481
In this paper a method is proposed to obtain explainability of the random forest model. Two Auto-Regressive Integrated Moving Average (ARIMA) models form the basis for this approach. The ARIMA models are used in a way similar to how local surrogate m
Autor:
Bernhard Moser, Lukas Fischer, Atif Mashkoor, Johannes Sametinger, Anna-Christina Glock, Michael Mayr, Sabrina Luftensteiner
This volume constitutes the refereed proceedings of the workshops held at the 35th International Conference on Database and Expert Systems Applications, DEXA 2024, which took place in Naples, Italy, in August 2024. The papers included in this book s