ARES 2020 - Machine Learning for Tree Structures and Its Application to Detect Fake Sites
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presentation of the paper titled "Machine Learning for Tree Structures and Its Application to Detect Fake Sites" by the authors Taichi Ishikawa (Carnegie Mellon University, United States), Kilho Shin (Gakushuin University, Japan), Liu Yu-Lu (Rakuten, Inc., Japan) and David Shepard (Evidation Health, United States)
accepted at the conference ARES 2020 - full paper
ares-conference.eu/
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