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UID:143@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20250326T143000
DTEND;TZID=Europe/Paris:20250326T143000
DTSTAMP:20260602T130233Z
URL:https://isdm.umontpellier.fr/events/explainable-and-interpretable-lear
 ning-making-sense-on-complex-modeling-domains-2/
SUMMARY:Explainable and Interpretable Learning: Making Sense on Complex Mod
 eling Domains
DESCRIPTION:Room Nadir\, Maison de la Télédétection (500 rue Jean Franç
 ois Breton)\nMachine Learning in Montpellier\, Theory &amp\; Practice - Ma
 rtin Atzmüller\, Scientific Director at DFKI and Full Professor at Osnabr
 ück University (Germany)\n\nIn many applications\, modeling complex data 
 is of utmost importance\, requiring the use of advanced machine learning m
 odels and approaches. However\, in many domains users require insight into
  models and/or their decisions\, which is not necessarily provided by the 
 respective models per se. Explainable and interpretable learning approache
 s can facilitate such insights for making sense of models and decisions. T
 he talk presents examples of such approaches in complex modeling domains\,
  including interpretable as well as explainable deep-learning-based method
 s\, and a neuro-symbolic architecture including domain knowledge for facil
 itating explainability.\n\nLabéliséHallesIA
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2025/02/ml-mpt-1.jpg
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DTSTART:20241027T020000
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