27 citations · 31 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Constructing a meta-learner for unsupervised anomaly detection
Małgorzata Gutowska, Suzanne Little, Andrew McCarren
Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no…
cs.AI2020★ 27 cited
Fact or Factitious? Contextualized Opinion Spam Detection
Stefan Kennedy, Niall Walsh, Kirils Sloka +2
In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to b…