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cs.LG2021
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach
Jonas Schulz, Rafael Poyiadzi, Raul Santos-Rodriguez
Explainability of black-box machine learning models is crucial, in particular when deployed in critical applications such as medicine or autonomous cars. Existing approaches produc…
eess.SP2021
OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors
Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma +8
This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized R…