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DTSTART:20220327T020000Z
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DTSTART:20221030T030000Z
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DTSTART:20260104T075649Z
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DTSTAMP:20261001T075649Z
SUMMARY:LLLS #13: Interpretable AI for Classification Learning - Towards Mo
 del Trustworthiness and Plausibility
LOCATION:
ORGANIZER;CN=SCADS:MAILTO:webmaster@puls13.com
DTSTART;TZID=Europe/Berlin:20220804T110000
DTEND;TZID=Europe/Berlin:20220804T120000
X-ALT-DESC;FMTTYPE=TEXT/HTML:After the overwhelming success of deep network
 s the need for smart classification models is increasingly providing an al
 ternative in cases with hardware constraints. Further\, interpretability i
 s frequently demanded and leads to a better acceptance of machine learning
  tools. Additionally\, guarantees for robustness should provide classifica
 tion certainty and model confidence. In this talk\, we reflected current&amp;h
 ellip\;
CATEGORIES:Living Lab
URL;VALUE=URI:https://scads.ai/calendar/llls-13-interpretable-ai-for-classi
 fication-learning-towards-model-trustworthiness-and-plausibility/
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