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DTSTAMP:20260627T135302Z
UID:ca96fc92-6225-4a8b-90fa-d2f4ee7f7b10
DTSTART:20240924T130000Z
DTEND:20240924T130000Z
DESCRIPTION: \n\nDOME is a set of community-wide guidelines\, recommendat
 ions and checklists\, spanning these four areas (Data\, Optimization\, Mo
 del and Evaluation in Machine Learning) aiming to help establish standard
 s of supervised machine learning validation in biology. The work was init
 ially published in 2021 with more details on the DOME-ML page. This activi
 ty is part of the Machine Learning Focus Group \n\nWebinar Programme ​
 \n\n\n	Welcome\n	What are the DOME recommendations? (Fotis Psomopoulos and
  Barbara Szomolay)\n	What is the DOME registry? (Silvio Tosatto)\n	DOME us
 e within ELIXIR - IDP Community (Damiano Piovesan)\n	DOME use beyond ELIX
 IR - GigaScience (Chris Hunter)\n	Final Q&amp\;A \n\n\nThe recording of t
 his event will be made available on the ELIXIR Europe Youtube channel\n\n
  
SUMMARY:DOME - Machine Learning Best Practices & Recommendations Webinar
URL;VALUE=URI:https://www.elixir-europe.org/events/dome-machine-learning-be
 st-practices-recommendations-webinar
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