Adversarial open set domain adaptation via progressive selection of transferable target samples
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.032
Abstract: Abstract In recent years, many Unsupervised Domain Adaptation (UDA) methods have been proposed to tackle the domain shift problem. Most existing UDA methods are derived for Close Set Domain Adaptation (CSDA) in which source and… read more here.
Keywords: set domain; target samples; target; domain adaptation ... See more keywords
Sniffer Dogs Diagnose Lung Cancer by Recognition of Exhaled Gases: Using Breathing Target Samples to Train Dogs Has a Higher Diagnostic Rate Than Using Lung Cancer Tissue Samples or Urine Samples
Sign Up to like & getrecommendations! Published in 2023 at "Cancers"
DOI: 10.3390/cancers15041234
Abstract: Simple Summary Sniffer dogs can diagnose lung cancer. However, the diagnostic yields of different samples and training methods for lung cancer remain undetermined. Six dogs were trained in three stages with the aim of improving… read more here.
Keywords: lung cancer; rate; cancer; target samples ... See more keywords