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Evaluation of post-hoc interpretability methods in time-series classification

Medicine and Health

Evaluation of post-hoc interpretability methods in time-series classification

H. Turbé, M. Bjelogrlic, et al.

This research, conducted by Hugues Turbé, Mina Bjelogrlic, Christian Lovis, and Gianmarco Mengaldo, unveils a groundbreaking framework for evaluating post-hoc interpretability in time-series classification. With new metrics and a synthetic dataset, this study reveals crucial insights into interpretability methods, aiming to fortify trust in applications like healthcare.... show more
Citation Metrics
Citations
104
Influential Citations
3
Reference Count
57
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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