2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
On the Consistency and Robustness of Saliency Explanations for Time Series Classification
Chiara Balestra, Bin Li, Emmanuel Müller
Interpretable machine learning and explainable artificial intelligence have become essential in many applications. The trade-off between interpretability and model performance is t…
cs.LG2023
Prototypes as Explanation for Time Series Anomaly Detection
Bin Li, Carsten Jentsch, Emmanuel Müller
Detecting abnormal patterns that deviate from a certain regular repeating pattern in time series is essential in many big data applications. However, the lack of labels, the dynami…