BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//BioMedIA - ECPv6.15.11//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:BioMedIA
X-ORIGINAL-URL:https://biomedia.doc.ic.ac.uk
X-WR-CALDESC:Events for BioMedIA
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20150101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20160519T160000
DTEND;TZID=UTC:20160519T170000
DTSTAMP:20260429T214606
CREATED:20160427T184136Z
LAST-MODIFIED:20160512T210610Z
UID:2744-1463673600-1463677200@biomedia.doc.ic.ac.uk
SUMMARY:BioMedIA Talk: Ioannis Katramados (COSMONiO)
DESCRIPTION:Title: The challenges of developing an active deep-learning platform \nAbstract:\nDeep learning is usually linked to Big Data. However\, there are several scientific\, engineering and medical imaging problems with limited data available (e.g. rare medical conditions). Can Deep Learning prove a useful tool in such cases? COSMONiO is designing NOUS\, an active deep learning platform that aims to make high-accuracy predictions using significantly smaller training datasets. NOUS aims to allow experts from any field to train neural networks without any prior experience. We will discuss the main challenges and how we address them.
URL:https://biomedia.doc.ic.ac.uk/event/biomedia-talk-ioannis-katramados-cosmonio/
LOCATION:Huxley 144
CATEGORIES:Talks & Seminars
END:VEVENT
END:VCALENDAR