Publications by authors named "Mohammad Al-Naser"

This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventional ZSL methods have equally dealt with all the available attributes, but this sometimes causes misclassification.

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Article Synopsis
  • Visual x-ray image processing (XRIP) is crucial in catheter-based cardiovascular interventions (CBCVIs), but there’s been a lack of data defining its role in this context.* -
  • A new computer-based method was created to analyze eye-tracking data from expert operators, revealing that they spend a significant amount of time focused on key images during procedures.* -
  • This methodology distinguishes the viewing strategies of expert and novice operators, highlighting how experts maintain focus on important areas, which could help train novices in recognizing critical images.*
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