Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kotone Itaya"'
Autor:
Rutger A. Vos, Toshiaki Katayama, Hiroyuki Mishima, Shin Kawano, Shuichi Kawashima, Jin-Dong Kim, Yuki Moriya, Toshiaki Tokimatsu, Atsuko Yamaguchi, Yasunori Yamamoto, Hongyan Wu, Peter Amstutz, Erick Antezana, Nobuyuki P. Aoki, Kazuharu Arakawa, Jerven T. Bolleman, Evan Bolton, Raoul J. P. Bonnal, Hidemasa Bono, Kees Burger, Hirokazu Chiba, Kevin B. Cohen, Eric W. Deutsch, Jesualdo T. Fernández-Breis, Gang Fu, Takatomo Fujisawa, Atsushi Fukushima, Alexander García, Naohisa Goto, Tudor Groza, Colin Hercus, Robert Hoehndorf, Kotone Itaya, Nick Juty, Takeshi Kawashima, Jee-Hyub Kim, Akira R. Kinjo, Masaaki Kotera, Kouji Kozaki, Sadahiro Kumagai, Tatsuya Kushida, Thomas Lütteke, Masaaki Matsubara, Joe Miyamoto, Attayeb Mohsen, Hiroshi Mori, Yuki Naito, Takeru Nakazato, Jeremy Nguyen-Xuan, Kozo Nishida, Naoki Nishida, Hiroyo Nishide, Soichi Ogishima, Tazro Ohta, Shujiro Okuda, Benedict Paten, Jean-Luc Perret, Philip Prathipati, Pjotr Prins, Núria Queralt-Rosinach, Daisuke Shinmachi, Shinya Suzuki, Tsuyosi Tabata, Terue Takatsuki, Kieron Taylor, Mark Thompson, Ikuo Uchiyama, Bruno Vieira, Chih-Hsuan Wei, Mark Wilkinson, Issaku Yamada, Ryota Yamanaka, Kazutoshi Yoshitake, Akiyasu C. Yoshizawa, Michel Dumontier, Kenjiro Kosaki, Toshihisa Takagi
Publikováno v:
F1000Research, Vol 9 (2020)
We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss i
Externí odkaz:
https://doaj.org/article/6d102248ecd24affbea7a5223da6573a
Autor:
Takatomo Fujisawa, Shujiro Okuda, Rutger A. Vos, Yuki Naito, Benedict Paten, Toshihisa Takagi, Atsushi Fukushima, Issaku Yamada, Kouji Kozaki, Atsuko Yamaguchi, Shin Kawano, Jeremy Nguyen-Xuan, Toshiaki Katayama, Tudor Groza, Takeru Nakazato, Tazro Ohta, Toshiaki Tokimatsu, Akira R. Kinjo, Tsuyosi Tabata, Bruno Vieira, Kotone Itaya, Eric W. Deutsch, Evan E Bolton, Kenjiro Kosaki, Yasunori Yamamoto, Sadahiro Kumagai, Soichi Ogishima, Pjotr Prins, Mark Wilkinson, Núria Queralt-Rosinach, Colin Hercus, Philip Prathipati, Alexander Garcia, Hidemasa Bono, Shuichi Kawashima, Jerven Bolleman, Yuki Moriya, Chih-Hsuan Wei, Ryota Yamanaka, Masaaki Matsubara, Akiyasu C. Yoshizawa, Jesualdo Tomás Fernández-Breis, Naoki Nishida, Thomas Lütteke, Hiroyo Nishide, Jin-Dong Kim, Kees Burger, Kevin Bretonnel Cohen, Nobuyuki P. Aoki, Kozo Nishida, Joe Miyamoto, Michel Dumontier, Robert Hoehndorf, Attayeb Mohsen, Peter Amstutz, Nick Juty, Raoul J. P. Bonnal, Kieron Taylor, Hiroyuki Mishima, Naohisa Goto, Masaaki Kotera, Tatsuya Kushida, Hiroshi Mori, Ikuo Uchiyama, Takeshi Kawashima, Kazutoshi Yoshitake, Jean-Luc Perret, Kazuharu Arakawa, Jee-Hyub Kim, Daisuke Shinmachi, Shinya Suzuki, Mark Thompson, Terue Takatsuki, Erick Antezana, Hongyan Wu, Gang Fu, Hirokazu Chiba
Publikováno v:
F1000Research, 9. F1000 Research Ltd.
F1000Research
F1000Research
We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69bc30c9d74c1248bb68af22746ba6f9
https://cris.maastrichtuniversity.nl/en/publications/f3a06590-62bd-47fc-bf50-b89db8f73b70
https://cris.maastrichtuniversity.nl/en/publications/f3a06590-62bd-47fc-bf50-b89db8f73b70
Autor:
Masayoshi Nakamura, Moriyoshi Koizumi, Naoya Arakawa, Masaru Tomita, Koichi Takahashi, Kotone Itaya, Hiroshi Yamakawa
Publikováno v:
BICA
We have been developing BriCA (Brain-inspired Computing Architecture), the generic software platform that can combine an arbitrary number of machine learning modules to construct higher structures such as cognitive architectures inspired by the brain
Autor:
Akira R. Kinjo, Tatsuya Kushida, Hiroshi Mori, Shuichi Kawashima, Mark Wilkinson, Takeshi Kawashima, Mark Thompson, Leyla Garcia, Shin Kawano, Kazuharu Arakawa, Shujiro Okuda, Jerven Bolleman, Shinobu Okamoto, Toshihisa Takagi, Yusuke Komiyama, Emi Hattori, Hiroyo Nishide, Jin-Dong Kim, Toshiaki Tokimatsu, Kiyoko F. Aoki-Kinoshita, Tazro Ohta, Francesco Strozzi, Toshiaki Katayama, Daisuke Shinmachi, Karin Verspoor, Masaaki Kotera, Matthew Paul Campbell, Shinya Suzuki, Yue Wang, Katsuhiko Murakami, Simon Jupp, Sarala M. Wimalaratne, Issaku Yamada, Erick Antezana, Atsuko Yamaguchi, Kotone Itaya, Masaki Banno, Hirokazu Chiba, Alex Kalderimis, Joachim Baran, Andrea Splendiani, Masayuki Yarimizu, Soichi Ogishima, Yuki Moriya, Hongyan Wu, Robert Hoehndorf, Maori Ito, Toyofumi Fujiwara, Masaaki Matsubara, Gos Micklem, Peter J. A. Cock, Fumihiro Kato, Jesualdo Tomás Fernández-Breis, Yasunori Yamamoto, Takatomo Fujisawa, Hidemasa Bono, Takeru Nakazato, Yasset Perez-Riverol, Yosuke Nishimura, Junichi Takehara, Hiromasa Ono, Sayaka Mizutani, Nozomi Yamamoto, James Malone, Michel Dumontier, Simon Kocbek, Hideya Kawaji, Robert Buels, Pascale Gaudet, Shoko Kawamoto, Kevin Bretonnel Cohen, Daniel G. Jamieson, Ikuo Uchiyama, Nick Juty, Raoul J. P. Bonnal, Satoshi Mizuno
Publikováno v:
F1000Research. 8:1677
Publishing databases in the Resource Description Framework (RDF) model is becoming widely accepted to maximize the syntactic and semantic interoperability of open data in life sciences. Here we report advancements made in the 6th and 7th annual BioHa
Autor:
Naoya Arakawa, Kotone Itaya, Masayoshi Nakamura, Moriyoshi Koizumi, Masaru Tomita, Koichi Takahashi, Hiroshi Yamakawa
Publikováno v:
Neural Information Processing ISBN: 9783319466866
ICONIP (1)
ICONIP (1)
Brain-inspired Computing Architecture (BriCA) is a generic software platform for modular composition of machine learning algorithms. It can combine and schedule an arbitrary number of machine learning components in a brain-inspired fashion to constru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f6a83cde99e49ffd66cc5fd8670f64
https://doi.org/10.1007/978-3-319-46687-3_37
https://doi.org/10.1007/978-3-319-46687-3_37