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X-ORIGINAL-URL:https://www.math.ens.psl.eu
X-WR-CALDESC:évènements pour Département de mathématiques et applications
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TZID:Europe/Paris
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TZNAME:CEST
DTSTART:20160327T010000
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DTSTART:20161030T010000
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TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20170326T010000
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DTSTART:20171029T010000
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DTSTART;TZID=Europe/Paris:20170110T130000
DTEND;TZID=Europe/Paris:20170110T130000
DTSTAMP:20260416T221216
CREATED:20170110T120000Z
LAST-MODIFIED:20211104T103401Z
UID:8356-1484053200-1484053200@www.math.ens.psl.eu
SUMMARY:A big data approach towards functional brain mapping
DESCRIPTION:
URL:https://www.math.ens.psl.eu/evenement/a-big-data-approach-towards-functional-brain-mapping/
CATEGORIES:Séminaire Data de l’ENS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20161215T100000
DTEND;TZID=Europe/Paris:20161215T190000
DTSTAMP:20260416T221216
CREATED:20161215T090000Z
LAST-MODIFIED:20211104T103559Z
UID:8357-1481796000-1481828400@www.math.ens.psl.eu
SUMMARY:Special Inauguration Conference
DESCRIPTION:
URL:https://www.math.ens.psl.eu/evenement/special-inauguration-conference/
LOCATION:Salle Jaurès 29 rue d’Ulm
CATEGORIES:Séminaire Data de l’ENS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20161108T120000
DTEND;TZID=Europe/Paris:20161108T140000
DTSTAMP:20260416T221216
CREATED:20161108T110000Z
LAST-MODIFIED:20211104T101909Z
UID:8317-1478606400-1478613600@www.math.ens.psl.eu
SUMMARY:What physics can tell us about inference?
DESCRIPTION:There is a deep analogy between statistical inference and statistical physics
URL:https://www.math.ens.psl.eu/evenement/what-physics-can-tell-us-about-inference/
LOCATION:room CONF IV (physic dpt)
CATEGORIES:Séminaire Data de l’ENS
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20161011T120000
DTEND;TZID=Europe/Paris:20161011T140000
DTSTAMP:20260416T221216
CREATED:20161011T100000Z
LAST-MODIFIED:20211104T101430Z
UID:8301-1476187200-1476194400@www.math.ens.psl.eu
SUMMARY:Can Big Data cure Cancer?
DESCRIPTION:As the cost and throughput of genomic technologies reach a point where DNA sequencing is close to becoming a routine exam at the clinics\, there is a lot of hope that treatments of diseases like cancer can dramatically improve by a digital revolution in medicine\, where smart algorithms analyze « big medical data » to help doctors take the best decisions for each patient or to suggest new directions for drug development. While artificial intelligence and machine learning-based algorithms have indeed had a great impact on many data-rich fields\, their application on genomic data raises numerous computational and mathematical challenges that I will illustrate on a few examples of patient stratification or drug response prediction from genomic data.
URL:https://www.math.ens.psl.eu/evenement/can-big-data-cure-cancer/
LOCATION:room CONF IV (physic dpt).
CATEGORIES:Séminaire Data de l’ENS
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