StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures

Mohammed Naveed Akram, Akshatha Ambekar, Ioannis Sorokos, Koorosh Aslansefat, Daniel Schneider 0001. StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures. In Mario Trapp, Erwin Schoitsch, Jérémie Guiochet, Friedemann Bitsch, editors, Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops - DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Munich, Germany, September 6-9, 2022, Proceedings. Volume 13415 of Lecture Notes in Computer Science, pages 289-301, Springer, 2022. [doi]

@inproceedings{AkramASAS22,
  title = {StaDRe and StaDRo: Reliability and Robustness Estimation of ML-Based Forecasting Using Statistical Distance Measures},
  author = {Mohammed Naveed Akram and Akshatha Ambekar and Ioannis Sorokos and Koorosh Aslansefat and Daniel Schneider 0001},
  year = {2022},
  doi = {10.1007/978-3-031-14862-0_21},
  url = {https://doi.org/10.1007/978-3-031-14862-0_21},
  researchr = {https://researchr.org/publication/AkramASAS22},
  cites = {0},
  citedby = {0},
  pages = {289-301},
  booktitle = {Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops - DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Munich, Germany, September 6-9, 2022, Proceedings},
  editor = {Mario Trapp and Erwin Schoitsch and Jérémie Guiochet and Friedemann Bitsch},
  volume = {13415},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-14862-0},
}