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Insights from explainable interactive machine learning in the age of COVID-19 (2021)
Hinz, Oliver ; Pfeuffer, Nicolas ; Stammer, Wolfgang ; Schramowski, Patrick ; Abdel-Karim, Benjamin M. ; Bucher, Andreas ; Hügel, Christian ; Rohde, Gernot Gerhard Ulrich ; Kersting, Kristian
COVID-19 HAS AGAIN TIGHTENED ITS GRIP AROUND THE WORLD AND THE HEALTH SYSTEM. THIS ARTICLE GIVES AN INTRODUCTION TO EXPLAINABLE INTERACTIVE MACHINE LEARNING AND PROVIDES INSIGHTS ON HOW THIS METHOD MAY NOT ONLY HELP IN ENGINEERING MORE POWERFUL AI SYSTEMS, BUT ALSO HOW IT MAY HELP TO EASE THE BURDEN OF VIRAL STRAINS ON THE HEALTHCARE SYSTEM.
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