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Masanori Koyama

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 25, 2018
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised LearningTakeru Miyato, Shin-Ichi Maeda, Masanori Koyama, et al.
Biophysics and Physicobiology|March 10, 2017
Model-based control of the temporal patterns of intracellular signaling <i>in silico</i>Yohei Murakami, Masanori Koyama, Shigeyuki Oba, et al.
Bulletin of Mathematical Biology|August 18, 2018
Non-explosivity of Stochastically Modeled Reaction Networks that are Complex BalancedDavid F Anderson, Daniele Cappelletti, Masanori Koyama, et al.
Journal of Animal Science|February 1, 2018
BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agricultureGota Morota, Ricardo V Ventura, Fabyano F Silva, et al.
Genetics, Selection, Evolution : GSE|June 15, 2013
Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat dataGota Morota, Masanori Koyama, Guilherme J M Rosa, et al.
Plos Computational Biology|November 14, 2014
A statistical method of identifying interactions in neuron-glia systems based on functional multicell Ca2+ imagingKen Nakae, Yuji Ikegaya, Tomoe Ishikawa, et al.
IEEE Transactions on Medical Imaging|October 28, 2014
Efficient Monte Carlo image analysis for the location of vascular entityHenrik Skibbe, Marco Reisert, Shin-ichi Maeda, et al.
NPJ Systems Biology and Applications|September 12, 2019
Logical design of oral glucose ingestion pattern minimizing blood glucose in humansMasashi Fujii, Yohei Murakami, Yasuaki Karasawa, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 25, 2018
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised LearningTakeru Miyato, Shin-Ichi Maeda, Masanori Koyama, et al.
Biophysics and Physicobiology|March 10, 2017
Model-based control of the temporal patterns of intracellular signaling <i>in silico</i>Yohei Murakami, Masanori Koyama, Shigeyuki Oba, et al.
Bulletin of Mathematical Biology|August 18, 2018
Non-explosivity of Stochastically Modeled Reaction Networks that are Complex BalancedDavid F Anderson, Daniele Cappelletti, Masanori Koyama, et al.
Journal of Animal Science|February 1, 2018
BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agricultureGota Morota, Ricardo V Ventura, Fabyano F Silva, et al.
Genetics, Selection, Evolution : GSE|June 15, 2013
Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat dataGota Morota, Masanori Koyama, Guilherme J M Rosa, et al.
Plos Computational Biology|November 14, 2014
A statistical method of identifying interactions in neuron-glia systems based on functional multicell Ca2+ imagingKen Nakae, Yuji Ikegaya, Tomoe Ishikawa, et al.
IEEE Transactions on Medical Imaging|October 28, 2014
Efficient Monte Carlo image analysis for the location of vascular entityHenrik Skibbe, Marco Reisert, Shin-ichi Maeda, et al.
NPJ Systems Biology and Applications|September 12, 2019
Logical design of oral glucose ingestion pattern minimizing blood glucose in humansMasashi Fujii, Yohei Murakami, Yasuaki Karasawa, et al.
Pageof 1