Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Mathieu Turgeon"'
Autor:
Mikhail Sokolov, Christopher Henry, Joni Storie, Christopher Storie, Victor Alhassan, Mathieu Turgeon-Pelchat
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 482-492 (2023)
Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing datasets means that scientists need to solve the domain adaptation (DA) probl
Externí odkaz:
https://doaj.org/article/76d2c6ce3cdc466bb4b02b96172bd206
Publikováno v:
Revista Latinoamericana de Opinión Pública, Vol 11, Iss 1 (2022)
When the number of observed elections is low, subnational data can be used to perform electoral forecasts. Turgeon and Rennó (2012) applied this solution and proposed three forecasting models to analyze Brazilian presidential elections (1994-2006).
Externí odkaz:
https://doaj.org/article/3d6f947dda234dbda56d2fddf879a032
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 3, Pp 381-395 (2021)
Airborne LiDAR data allow the precise modeling of topography and are used in multiple contexts. To facilitate further analysis, the point cloud classification process allows the assignment of a class, object or feature, to each point. This research u
Externí odkaz:
https://doaj.org/article/48a30470fa86482ca63edb6b19c22a89
Publikováno v:
Frontiers in Political Science, Vol 3 (2021)
The COVID-19 pandemic has led to a vast research agenda focusing on how citizens acquire knowledge about the virus and the health expert guidelines to protect themselves and their close ones against it. While many countries and regions have been acco
Externí odkaz:
https://doaj.org/article/872b2cc639464f438956c69d54c4c984
Autor:
Lucio Rennó, Mathieu Turgeon
Publikováno v:
Dados: Revista de Ciências Sociais, Vol 59, Iss 1, Pp 11-52 (2016)
RESUMO Neste artigo são testadas diferentes hipóteses derivadas da literatura especializada nacional e internacional sobre o efeito da estratificação e mobilidade social nas atitudes políticas e seus atributos no Brasil. São usados dados do Bar
Externí odkaz:
https://doaj.org/article/fff0586392974c778999738bea68ac5f
Publikováno v:
The Journal of Legislative Studies. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20c4c00a13f41be7a142ce6f1b069d29
https://doi.org/10.1080/13572334.2023.2190695
https://doi.org/10.1080/13572334.2023.2190695
Autor:
Mathieu Turgeon-Pelchat, Heather McGrath, Fatemeh Esfahani, Simon Tolszczuk-Leclerc, Thomas Rainville, Nicolas Svacina, Lingjun Zhou, Zarrin Langari, Hospice Houngbo
The Canada Centre for Mapping and Earth Observation (CCMEO) uses Radarsat Constellation Mission (RCM) data for near-real time flood mapping. One of the many advantages of using SAR sensors, is that they are less affected by the cloud coverage and atm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4903c96405b717db4e6c83d6094119d
https://doi.org/10.5194/egusphere-egu23-9091
https://doi.org/10.5194/egusphere-egu23-9091
Publikováno v:
PS: Political Science & Politics. 55:692-696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe9166c80aaf6e1963963920227b9d8
https://doi.org/10.1017/s1049096522000439
https://doi.org/10.1017/s1049096522000439
Autor:
Mathieu Turgeon, Philip Habel
Publikováno v:
Political Psychology. 43:489-510
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1acba3cc0e59fff1d3aa1fe8e4d1100
https://doi.org/10.1111/pops.12777
https://doi.org/10.1111/pops.12777
Publikováno v:
Revista Latinoamericana de Opinión Pública. 11
When the number of observed elections is low, subnational data can be used to perform electoral forecasts. Turgeon and Rennó (2012) applied this solution and proposed three forecasting models to analyze Brazilian presidential elections (1994-2006).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37dea57e083f4ffafb5a1b70e7fc81f
https://doi.org/10.14201/rlop.25882
https://doi.org/10.14201/rlop.25882