DSpace Repository

Browsing by Author "Sae-Bae N."

Browsing by Author "Sae-Bae N."

Sort by: Order: Results:

  • Plumworasawat S.; Sae-Bae N. (Institute of Electrical and Electronics Engineers Inc., 2023)
    This work studies the performance of the pretrained models to classify colorectal tissues and the effectiveness of tissue image classification models when it is applied across different datasets that may exhibit different ...
  • Sae-Bae N.; Memon N. (2022)
    When keystroke dynamics are used for authentication, users tend to get different levels of security due to differences in the quality of their templates. This paper addresses this issue by proposing a metric to quantify ...
  • Supmee P.; Suwanmalai K.; Hanchoenkul N.; Sae-Bae N.; Khomkham B. (Institute of Electrical and Electronics Engineers Inc., 2023)
    This paper studied the identity preserving performance of the speech synthesized model when durations of speech samples in Thai language were varied. In particular, two experiments were designed to investigate such property ...
  • Chaengsrisuk P.; Sae-Bae N. (Institute of Electrical and Electronics Engineers Inc., 2023)
    GAN inversion is a type of generative adversarial networks (GAN) models that can regenerate realistic images from real face photos and further perform image manipulation. While GAN inversion models can be useful for many ...
  • Sae-Bae N.; Buranasaksee U. (School of Electrical Engineering and Informatics, 2022)
    The face identification problem is the task of identifying incoming users from their face images. The applications of this task include automating user identification at the building entrance. Consequently, many proposed ...