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DTSTART:20001029T040000
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BEGIN:VEVENT
UID:pretalx-state-of-the-map-europe-2024-J9U3UW@cfp.openstreetmap.org.pl
DTSTART;TZID=CET:20240719T160000
DTEND;TZID=CET:20240719T162000
DESCRIPTION:In this talk\, we will present multiple geospatial representati
 on learning methods based on OpenStreetMap features. We will cover context
 ual embeddings\, road network representations and word2vec-like semantic e
 mbeddings. Finally\, we will present a library that aggregates those metho
 ds with additional data engineering capabilities.
DTSTAMP:20260305T230902Z
LOCATION:Room CA3
SUMMARY:Utilising OSM data in geospatial representation learning - Piotr Gr
 amacki
URL:https://cfp.openstreetmap.org.pl/state-of-the-map-europe-2024/talk/J9U3
 UW/
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BEGIN:VEVENT
UID:pretalx-state-of-the-map-europe-2024-XNRBVT@cfp.openstreetmap.org.pl
DTSTART;TZID=CET:20240720T100000
DTEND;TZID=CET:20240720T113000
DESCRIPTION:This tutorial offers a thorough introduction to Geospatial Arti
 ficial Intelligence in Python using the SRAI library. Participants will le
 arn how to use this library for geospatial tasks like downloading and proc
 essing OpenStreetMap data\, extracting features from GTFS data\, dividing 
 an area into smaller regions\, and representing regions in a vector space 
 using various spatial features. Additionally\, participants will learn to 
 pre-train embedding models and train predictive models for downstream task
 s.
DTSTAMP:20260305T230902Z
LOCATION:Room CA3
SUMMARY:Introduction to Geospatial Machine Learning - Piotr Gramacki\, Kacp
 er Leśniara
URL:https://cfp.openstreetmap.org.pl/state-of-the-map-europe-2024/talk/XNRB
 VT/
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