Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yasunori Akagi"'
Autor:
Rin Tsuzuki, Rosa María Cabrera Pintado, Jorge Andrés Biondi Thorndike, Dina Lida Gutiérrez Reynoso, Carlos Alberto Amasifuen Guerra, Juan Carlos Guerrero Abad, Liliana Maria Aragón Caballero, Medali Heidi Huarhua Zaquinaula, Cledy Ureta Sierra, Olenka Ines Alberca Cruz, Milca Gianira Elespuru Suna, Raúl Humberto Blas Sevillano, Ines Carolina Torres Arias, Joel Flores Ticona, Fátima Cáceres de Baldárrago, Enrique Rodoríguez Pérez, Takuo Hozum, Hiroki Saito, Shunsuke Kotera, Yasunori Akagi, Motoichiro Kodama, Ken Komatsu, Tsutomu Arie
Publikováno v:
Plants, Vol 10, Iss 1, p 47 (2020)
Tomato susceptibility/resistance to stem canker disease caused by Alternaria alternata f. sp. lycopersici and its pathogenic factor AAL-toxin is determined by the presence of the Asc1 gene. Several cultivars of commercial tomato (Solanum lycopersicum
Externí odkaz:
https://doaj.org/article/26f5892284fa488abd4614860125614f
Publikováno v:
Machine Learning. 112:99-129
Collective graphical model (CGM) is a probabilistic model that provides a framework for analyzing aggregated count data. Maximum a posteriori (MAP) inference of unobserved variables under given observations is one of the essential operations in CGM.
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Online bipartite matching has attracted much attention due to its importance in various applications such as advertising, ride-sharing, and crowdsourcing. In most online matching problems, the rewards and node arrival probabilities are given in advan
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:3796-3805
The research field of stochastic matching has yielded many developments for various applications. In most stochastic matching problems, the probability distributions inherent in the nodes and edges are set a priori, and are not controllable. However,
Publikováno v:
AAAI
Collective Flow Diffusion Model (CFDM) is a general framework to find the hidden movements underlying aggregated population data. The key procedure in CFDM analysis is MAP inference of hidden variables. Unfortunately, existing approaches fail to offe
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 38:C-M13_1
Publikováno v:
PRICAI 2021: Trends in Artificial Intelligence ISBN: 9783030891879
PRICAI (1)
PRICAI (1)
The recent enhancement of taxi dispatch services with information technology has enabled data-driven pricing and dispatch. However, existing studies failed to address differences in individual priorities as regards money savings and time savings, lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5972e181b70a607a8de023b9bf72344c
https://doi.org/10.1007/978-3-030-89188-6_28
https://doi.org/10.1007/978-3-030-89188-6_28
Publikováno v:
CVPR
Video magnification methods can magnify and reveal subtle changes invisible to the naked eye. However, in such subtle changes, meaningful ones caused by physical and natural phenomena are mixed with non-meaningful ones caused by photographic noise. T
Autor:
Mikihiro Yamamoto, Motoichiro Kodama, Takashi Tsuge, Yasunori Akagi, Kazuya Akimitsu, Yoshiaki Harimoto, Kosuke Hanada
Publikováno v:
Physiological and Molecular Plant Pathology. 95:27-31
Alternaria alternata includes seven pathogenic variants, called pathotypes, which produce host-selective toxins (HSTs) as determinant factors for pathogenicity. The gene clusters for HST biosynthesis were identified from six pathotypes (Japanese pear