TY  - GEN 
AU  - Meng, Han
AU  - Wagner, Christian
AU  - Triguero Velázquez, Isaac
PY  - 2023
UR  - https://hdl.handle.net/10481/84523
AB  - Machine learning approaches have enabled increasingly powerful time series classifiers. While
performance has improved drastically, the resulting classifiers generally suffer from poor
explainability, limiting their applicability in critical areas....
LA  - eng
PB  - Elsevier
KW  - Time series classification
KW  - Post-hoc explanation
KW  - Perturbation method
KW  - Optimisation approach
TI  - Explaining time series classifiers through meaningful perturbation and optimisation
DO  - 10.1016/j.ins.2023.119334
ER  -