Zobrazeno 1 - 10 of 116 pro vyhledávání: '"Yukino Baba"'
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Akademický článek
Dual graph convolutional neural network for predicting chemical networks
Autor: Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima
Publikováno v: BMC Bioinformatics, Vol 21, Iss S3, Pp 1-13 (2020)
Abstract Background Predicting of chemical compounds is one of the fundamental tasks in bioinformatics and chemoinformatics, because it contributes to various applications in metabolic engineering and drug discovery. The recent rapid growth of the am
Externí odkaz: https://doaj.org/article/2a2393e02fe04f9fbd6987b1c20df681
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2
Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces
Autor: Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 27:1487-1492
Controlling the quality of tasks is a major challenge in crowdsourcing marketplaces. Most of the existing crowdsourcing services prohibit requesters from posting illegal or objectionable tasks. Operators in the marketplaces have to monitor the tasks
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b8c2b25157f0f061ed0c99e731a21d10
https://doi.org/10.1609/aaai.v27i2.18987
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3
Dual graph convolutional neural network for predicting chemical networks
Autor: Yoshihiro Yamanishi, Ichigaku Takigawa, Yukino Baba, Hirotaka Akita, Masashi Tsubaki, Shonosuke Harada, Hisashi Kashima
Publikováno v: BMC Bioinformatics, Vol 21, Iss S3, Pp 1-13 (2020)
BMC Bioinformatics
Background Predicting of chemical compounds is one of the fundamental tasks in bioinformatics and chemoinformatics, because it contributes to various applications in metabolic engineering and drug discovery. The recent rapid growth of the amount of a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56653b8c81fbf20065e6f93377ce00d0
http://link.springer.com/article/10.1186/s12859-020-3378-0
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4
DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences
Autor: Hisashi Kashima, Masahiro Mochizuki, Shinya Oki, Toshihisa Takagi, Hirotaka Matsumoto, Osamu Ogasawara, Takuya Kato, Takatomo Fujisawa, Haruka Ozaki, Masanori Arita, Yukino Baba, Yasukazu Nakamura, Toshitsugu Okayama, Eli Kaminuma
Publikováno v: Genes & Genetic Systems. 95:43-50
Recently, the prospect of applying machine learning tools for automating the process of annotation analysis of large-scale sequences from next-generation sequencers has raised the interest of researchers. However, finding research collaborators with
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71222498d0e2d878b0e73e38083f2586
https://doi.org/10.1266/ggs.19-00034
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5
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds
Autor: Rina Kagawa, Yukino Baba, Hideo Tsurushima
The 5th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2021) co-located with IEEE Bigdata 2021 Orlando, FL, USA, Dec. 15th (Virtually) 3:52-4:04 [S25208]
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83c542018af7ffd2507c7552727c96b8
https://tsukuba.repo.nii.ac.jp/records/2002333
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6
HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
Autor: Yukino Baba, Kazuki Fujii, Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Hiroshi Saruwatari
Publikováno v: ICASSP
We propose a conditional generative adversarial network (GAN) incorporating humans' perceptual evaluations. A deep neural network (DNN)-based generator of a GAN can represent a real-data distribution accurately but can never represent a human-accepta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0962ec99ca6a6b6b459bca7fdb67b042
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7
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques
Autor: Toshihiro Kamishima, Hisashi Kashima, Shotaro Akaho, Yukino Baba
Publikováno v: Communications in Computer and Information Science ISBN: 9783030788179
BIAS
Fairness-aware techniques are designed to remove socially sensitive information, such as gender or race. Many types of fairness-aware predictors have been developed, but they were designed essentially to improve the accuracy or fairness of the predic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e8e6bc5103d30becab2103cbd4dae7f6
https://doi.org/10.1007/978-3-030-78818-6_4
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9
Generating publicly available progress notes of authentic quality: A crowdsourcing-based approach (Preprint)
Autor: Rina Kagawa, Yukino Baba, Hideo Tsurushima
BACKGROUND Sharing progress notes as a common social capital is essential in research and education, but the content of progress notes is sensitive and needs to be kept confidential. Publishing actual progress notes are difficult due to privacy conce
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8afa5bd64932b97101cad8bad224bc29
https://doi.org/10.2196/preprints.24790
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10
Stress Prediction from Head Motion
Autor: Hitoshi Kusano, Hisashi Kashima, Yukino Baba, Yuji Horiguchi
Publikováno v: DSAA
The measurement of cognitive stress has huge potential for advertising optimization (e.g., neuromarketing), optimization of recommendation systems, and applications in the fields of human-computer interaction and affective computing. Many studies hav
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45286f10c0556e577223440c6d62635a
https://doi.org/10.1109/dsaa49011.2020.00063
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