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Autor:
Rojat, Thomas, Puget, Raphaël, Filliat, David, Del Ser, Javier, Gelin, Rodolphe, Díaz-Rodríguez, Natalia
Most of state of the art methods applied on time series consist of deep learning methods that are too complex to be interpreted. This lack of interpretability is a major drawback, as several applications in the real world are critical tasks, such as
Externí odkaz:
http://arxiv.org/abs/2104.00950
