Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Mathilde Mougeot"'
Autor:
Gonzalo Iñaki Quintana, Zhijin Li, Laurence Vancamberg, Mathilde Mougeot, Agnès Desolneux, Serge Muller
Publikováno v:
Bioengineering, Vol 10, Iss 5, p 534 (2023)
Recent progress in deep learning (DL) has revived the interest on DL-based computer aided detection or diagnosis (CAD) systems for breast cancer screening. Patch-based approaches are one of the main state-of-the-art techniques for 2D mammogram image
Externí odkaz:
https://doaj.org/article/ff1ce26703f6427d9c0de4af6ff5e8ad
Polar lows are intense but short duration maritime cyclones occurring in both hemispheres. In the northern pole, they are mainly located in the Barents and Norwegian seas, with significant damages for coastal populations. So far, a fully understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60b75bea11c80345414f9acfba0cf0d7
https://doi.org/10.5194/egusphere-egu23-6243
https://doi.org/10.5194/egusphere-egu23-6243
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f9f629983667fb3df26f42223d7dfb
https://doi.org/10.1007/978-3-031-26387-3_40
https://doi.org/10.1007/978-3-031-26387-3_40
Publikováno v:
Federated and Transfer Learning ISBN: 9783031117473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3573efba02529ae3570ba64ce3454831
https://doi.org/10.1007/978-3-031-11748-0_12
https://doi.org/10.1007/978-3-031-11748-0_12
Publikováno v:
Journal of Statistical Computation and Simulation. 91:2307-2327
Nowadays, many machine learning procedures are available on the shelves and may be used easily to calibrate predictive models on supervised data. However, when the input data consists of more than one unknown cluster, linked to different underlying p
Autor:
Philippe Drobinski, Riwal Plougonven, Aurore Dupré, Rebeca Doctors, Bastien Alonzo, Lishan Liao, Mathilde Mougeot, Naveen Goutham, Aurélie Fischer
Publikováno v:
Boundary-Layer Meteorology. 179:133-161
The relationship between the wind speed derived from the outputs of a numerical-weather-prediction model and from observations is explored using statistical and machine-learning models. Eight years of wind-speed measurements at a height of 10 m (from
Leveraging Digital Disruptions for a Climate-Safe and Equitable World: The Dˆ2S Agenda: [Commentary]
Autor:
Sasha Luccioni, Lyse Langlois, Asun Lera St. Clair, Owen Gaffney, Jennifer Garard, Mathilde Mougeot, Amy Luers, Tom Hassenboehler
Publikováno v:
IEEE Technology and Society Magazine. 39:18-31
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb38a8b5d626126168b643db3cd319f0
https://doi.org/10.1007/978-3-031-15919-0_55
https://doi.org/10.1007/978-3-031-15919-0_55
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030967932
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21d33d96342def3b5a09446510b98f3c
https://doi.org/10.1007/978-3-030-96794-9_42
https://doi.org/10.1007/978-3-030-96794-9_42
Publikováno v:
IEEE Technology and Society Magazine. 39:11-13
The articles in this special section focus on how disruptions whether they be natural or human impact society, technological development, and future outlooks. This section explores the opportunities and challenges of leveraging AI and other digital c