Skip to main content
King Abdullah University of Science and Technology
Cyber Security and Resilience Community
Cyber Security and Resilience Community
  • People
    • Faculty
    • Research Scientists
    • Postdoctoral Fellows
    • All People
  • Research Groups
    • Cyber Security and Resilience Technology (CyberSaR)
    • Roberto Di Pietro Research Group (R-Pietro)
    • Security Research Bearing Experimental Results (SeRBER)
  • Research Strategy

Pennsylvania State University

From Bioinformatics to Translational and Health Informatics: Whitening the Black Box

Prof. Yasser EL-Manzalawy, Information Sciences and Technology, Pennsylvania State University

Apr 8, 12:00 - 13:00

B9 H1

Pennsylvania State University machine learning

Machine learning has been extensively used in developing predictive models for a variety of bioinformatics tools. In many of these applications, to achieve the highest possible predictive performance, black box models (e.g., SVMs and Neural Networks) had been preferred over white box models (e.g., Decision Trees and Rule-based models). First, I argue that sacrificing interpretability for the sake of performance is a reasonable decision for many bioinformatics applications. However, I will demonstrate that uncareful utilization of black box models can lead to misinterpretations of the results.

Cyber Security and Resilience Community (CriSys)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.