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UID:225@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20250326T140000
DTEND;TZID=Europe/Paris:20250326T140000
DTSTAMP:20260825T133423Z
URL:https://isdm.umontpellier.fr/events/explainable-and-interpretable-lear
 ning-making-sense-on-complex-modeling-domains/
SUMMARY:Explainable and Interpretable Learning: Making Sense on Complex Mod
 eling Domains
DESCRIPTION:Room Nadir\, Maison de la Télédétection\, Agropolis campus\n
 \nMachine Learning in Montpellier\, Theory &amp\; Practice - Martin Atzmü
 ller (DFKI / Osnabrück University)\n\nIn many applications\, modeling com
 plex data is of utmost importance\, requiring the use of advanced machine 
 learning models and approaches. However\, in many domains users require in
 sight into models and/or their decisions\, which is not necessarily provid
 ed by the respective models per se. Explainable and interpretable learning
  approaches can facilitate such insights for making sense of models and de
 cisions. The talk presents examples of such approaches in complex modeling
  domains\, including interpretable as well as explainable deep-learning-ba
 sed methods\, and a neuro-symbolic architecture including domain knowledge
  for facilitating explainability.\n\nMachine Learning in Montpellier\, The
 ory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Room Nadir\, Maison de la Télédétection\, Agropolis Campus\, Mo
 ntpellier\, 34000\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Agropolis Campus\, Montpell
 ier\, 34000\, France;X-APPLE-RADIUS=100;X-TITLE=Room Nadir\, Maison de la 
 Télédétection:geo:0,0
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TZID:Europe/Paris
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DTSTART:20241027T020000
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