Search Results for author:
Found 5 papers, 0 papers with code
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
To further inspect the model decision-making as well as potential data errors, a what-if analysis facilitates hypothesis generation and verification on both the global and local levels.
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
Decision explanations of machine learning black-box models are often generated by applying Explainable AI (XAI) techniques.
BIG-bench Machine Learning
Explainable Artificial Intelligence (XAI)
+2
Towards a Rigorous Evaluation of XAI Methods on Time Series
In this work, we apply XAI methods previously used in the image and text-domain on time series.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+2
Understanding Bias in Machine Learning
Bias is known to be an impediment to fair decisions in many domains such as human resources, the public sector, health care etc.
