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DTSTAMP:20260614T192219Z
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DTSTART:20241205T050000Z
DTEND:20241205T060000Z
DESCRIPTION:As the adoption of Artificial Intelligence (AI) and Machine Lea
 rning (ML) accelerates across life science research\, the demand for stand
 ardised practices has become crucial to ensure transparency\, reproducibil
 ity\, and adherence to FAIR principles.\n\nIn response to these needs\, DO
 ME (Data Optimization Model Evaluation) has been developed as a key soluti
 on - a set of community-wide recommendations designed to guide supervised 
 ML analysis reporting in biological studies. DOME offers broad\, field-agn
 ostic guidelines to enhance the impact of ML applications while ensuring r
 eproducibility. This framework not only supports robust model evaluation b
 ut also serves as a valuable resource for training and capacity building i
 n life sciences. \n\nDon’t miss this opportunity to learn how to elevate
  the standard of ML evaluation in your research and join us in setting a n
 ew benchmark for best practices in this critical area!\n\n**Speaker: Dr Fo
 tis Psomopoulos\, Senior Researcher\, Institute of Applied Biosciences (IN
 AB)\, Center for Research and Technology Hellas (CERTH)**\n\n**Date/Time: 
 5 December 2024\,  4 - 5 pm AEDT / 3 - 4 pm AEST / 3:30 - 4:30 pm ACDT / 1
  - 2 pm AWST**\n\n**Who the webinar is for:**\n\nThis webinar is for resea
 rchers\, publishers\, funders and policy makers who are committed to advan
 cing best practices in machine learning.\n\n**How to join:**\n\nThis webin
 ar is free to join but you must register for a place in advance.\n\n**[Reg
 ister here](https://unimelb.zoom.us/webinar/register/WN_Mfr82BB-QTWqAQNKMj
 f9lQ)**\n\n_This event is part of a series of[ bioinformatics training eve
 nts](https://www.biocommons.org.au/events). If you’d like to hear when r
 egistrations open for other events\, please[ subscribe](https://www.biocom
 mons.org.au/subscribe) to the Australian BioCommons newsletter._
SUMMARY:WEBINAR: DOME - Machine Learning Best Practices & Recommendations
URL;VALUE=URI:https://www.biocommons.org.au/events/dome-ml
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