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pro vyhledávání: '"Barcklow, Daniel"'
Autor:
Hameed, Isha, Sharpe, Samuel, Barcklow, Daniel, Au-Yeung, Justin, Verma, Sahil, Huang, Jocelyn, Barr, Brian, Bruss, C. Bayan
Explainable artificial intelligence (XAI) methods lack ground truth. In its place, method developers have relied on axioms to determine desirable properties for their explanations' behavior. For high stakes uses of machine learning that require expla
Externí odkaz:
http://arxiv.org/abs/2207.05566
Autor:
Adams, Andrew, Obrecht, Richard F., Wilt, Miller, Barcklow, Daniel, Blitz, Bennett, Chew, Daniel
In this paper, we explore the use of multiple deep learning techniques to detect weak interference in WiFi networks. Given the low interference signal levels involved, this scenario tends to be difficult to detect. However, even signal-to-interferenc
Externí odkaz:
http://arxiv.org/abs/2205.11360