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X-WR-CALNAME;VALUE=TEXT:Calendrier BD
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TZID:Europe/Paris
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DTSTART:20261025T030000
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DTSTART:20260329T020000
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UID:calendar.384.field_quand.0@projet.liris.cnrs.fr/bd
DTSTAMP:20260627T045606Z
CREATED:20260611T174730Z
DESCRIPTION:A\n  \n  \n\n    \n\n\n\n\nAbstract: We will present some recen
 t research on the use of causality\nand counterfactual reasoning for provi
 ding explanations in data\nmanagement and machine learning. Special emphas
 is will be placed on\nattribution scores such as causal responsibility and
  Shapley values\, in\nparticular Shap\, for which we have provided efficie
 nt computation\nmechanisms.
DTSTART;TZID=Europe/Paris:20260617T100000
DTEND;TZID=Europe/Paris:20260617T110000
LAST-MODIFIED:20260611T174730Z
LOCATION:Université Lyon1\, Dép. Informatique\, Bât. Nautibus\, salle C006 
 (RDC)
SUMMARY:Leopoldo BERTOSSI: Explainable Artificial Intelligence for Classifi
 cation and Decision Systems
URL;TYPE=URI:https://projet.liris.cnrs.fr/bd/?q=node/384
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