Testing Faster R-CNN using VGG19 K-complexes detection on data from independent subjects not seen during training.

مواد مشابهة

• Testing Faster R-CNN using VGG19 for sleep spindles detection on data from independent subjects not seen during training.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The training times using 50% of the unbalanced dataset (in minutes) and 30 epochs.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The average precision (AP) and mean average precision (mAP) for the two classes of waveform patterns using 5-fold cross validation.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for K-complexes detection when the detectors trained on a balanced dataset with 1044 images for each class, and 60% of the data used for training and 70% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)
• The precision-recall curve for sleep spindles detection when the detectors trained on a balanced dataset with 1044 images for each class, and 60% of the data used for training and 70% overlap threshold.
  حسب: Mohammad Amin Fraiwan (20469541)
  منشور في: (2024)