Computing Challenges meeting (COMCHA)
jueves 11 abr. 2019 15:30
→
18:30
Europe/Madrid
Vidyo URL: (Virtual)
Vidyo URL:
Virtual
https://client-select.web.cern.ch/?url=https%3A%2F%2Fvidyoportal.cern.ch%2Fjoin%2Fi6vHz0B9JM
Descripción
Vidyo Room
PIN CODE: 2222
15:30
→
15:35
COMCHA: News & Introduction
5m
Ponentes
:
Arantza Oyanguren
(
IFIC- Valencia
)
,
Luca Fiorini
(
IFIC / U. Valencia
)
,
Pablo Martinez Ruiz Del Arbol
(
ETH Zürich, Switzerland
)
SlidesML.pdf
15:35
→
15:40
Announcement of the next COMCHA school
5m
Ponente
:
Xavier Vilasis-Cardona
(
DS4DS, La Salle - Universitat Ramon Llull
)
ComChaSchool.pdf
15:40
→
15:55
Deep Learning applications at IFCA
15m
Ponente
:
Lara Lloret Iglesias
(
University of Oviedo
)
Comcha-April2019.pdf
15:55
→
16:10
Lepton identification in CMS using ML
15m
Ponentes
:
Barbara Alvarez Gonzalez
(
Universidad de Oviedo
)
,
Sergio Sanchez Cruz
(
Universidad de Oviedo
)
COMCHA_11042019.pdf
16:10
→
16:25
Deep Learning Application
15m
Ponente
:
Miguel Ángel Martínez del Amor
Deep Learning US-2.pdf
16:25
→
16:40
Machine Learning activities at the ATLAS Tier-2 project (IFIC)
15m
Ponente
:
JOSE SALT
(
IFIC
)
ML-T2.pdf
16:40
→
16:55
Characterization of instrumental noise in 2D images and determination of galaxy distances.
15m
Ponente
:
Martin Eriksen
Characterization.pdf
16:55
→
17:10
Summary from the connecting the dots meeting
15m
Ponentes
:
Jose Enrique Garcia Navarro
(
IFIC (Instituto de Fisica Corpuscular)
)
,
Salvador Marti Garcia
(
IFIC-Valencia (UV-CSIC)
)
COMCHA_1104.pdf
17:10
→
17:25
Deep Learning for PET attenuation corrections
15m
Ponente
:
Andrés Martín Larroza Santacruz
(
Instituto I3M
)
Comcha_Apr2019.pdf