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PhD Defense: Addressing Shortcomings of Explainable Machine Learning Methods
February 13, 2025 @ 13:00 - 23:59
Welcome to the doctoral defense of Amr Alkhatib
Date and time: February 13, 13:00
Location: Ka-Sal B (Peter Weisglass), Kistagången 16, Electrum, Kista and online (https://kth-se.zoom.us/j/66054420196)
Doctoral student: Amr Alkhatib, Division of Software and Computer Systems, KTH Royal Institute of Technology
Title: Addressing Shortcomings of Explainable Machine Learning Methods
Supervisors: Professor Henrik Boström and Professor Michail Vazirgiannis, Division of Software and Computer Systems, KTH Royal Institute of Technology
Opponent: Professor Kary Främling, Department of Computing Science, Umeå University
Original location: Ka-Sal B (Peter Weisglass), Kistagången 16, Electrum, Kista & online