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221por Ron C Anafi, Yool Lee, Trey K Sato, Anand Venkataraman, Chidambaram Ramanathan, Ibrahim H Kavakli, Michael E Hughes, Julie E Baggs, Jacqueline Growe, Andrew C Liu, Junhyong Kim, John B Hogenesch“... used a simple form of probabilistic machine learning to integrate biologically relevant, genome-scale...”
Publicado 2014
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222por Rubén Armañanzas, Lidia Alonso-Nanclares, Jesús Defelipe-Oroquieta, Asta Kastanauskaite, Rafael G de Sola, Javier Defelipe, Concha Bielza, Pedro Larrañaga“... seizures after surgery. Here we used a machine learning approach to predict the outcome of epilepsy surgery...”
Publicado 2013
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223por Alexander Kuc, Sergey Korchagin, Vladimir A. Maksimenko, Vladimir A. Maksimenko, Vladimir A. Maksimenko, Natalia Shusharina, Alexander E. Hramov, Alexander E. Hramov, Alexander E. Hramov“... to properly train a decoder. In machine learning, our approach may facilitate the development of transfer...”
Publicado 2021
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224“.... In the past decades, machine learning (ML) has showed a powerful capability in fault detection and diagnosis...”
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225por Sandeep Mavadia, Virginia Frey, Jarrah Sastrawan, Stephen Dona, Michael J. Biercuk“... their extreme fragility. Here the authors use techniques from machine learning to enable real-time feedback...”
Publicado 2017
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226
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227por Yohei Hirano, Yutaka Kondo, Toru Hifumi, Shoji Yokobori, Jun Kanda, Junya Shimazaki, Kei Hayashida, Takashi Moriya, Masaharu Yagi, Shuhei Takauji, Junko Yamaguchi, Yohei Okada, Yuichi Okano, Hitoshi Kaneko, Tatsuho Kobayashi, Motoki Fujita, Hiroyuki Yokota, Ken Okamoto, Hiroshi Tanaka, Arino Yaguchi“...Abstract In this study, we aimed to develop and validate a machine learning-based mortality...”
Publicado 2021
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228“... to solubility prediction in organic solvents and water using combination of machine learning and computational...”
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229por Aleksandr B. Sahakyan, Vicki S. Chambers, Giovanni Marsico, Tobias Santner, Marco Di Antonio, Shankar Balasubramanian“...) formation. The model was developed using large-scale machine learning from an extensive experimental G4...”
Publicado 2017
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230por Jianan Tang, Xiao Geng, Dongsheng Li, Yunfeng Shi, Jianhua Tong, Hai Xiao, Fei Peng“... influences the material’s properties. We demonstrate an elegant machine learning algorithm that faithfully...”
Publicado 2021
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231“... compared the performance of the guideline to those of machine learning (ML) based preDM/DM classifiers...”
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232por Matjaž Kukar, Gregor Gunčar, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Zalaznik, Mateja Notar, Sašo Moškon, Marko Notar“... constructed a machine learning model for COVID-19 diagnosis that was based and cross-validated on the routine...”
Publicado 2021
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233“... and unsupervised machine learning models. The resulting algorithm depends only on a limited set of physically...”
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234“... can be inferred from disease modules in molecular networks. This article reviews network-based machine...”
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235“... patients, especially in the context of limited healthcare resources. We established a machine-learning...”
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236por Jianqiao Tian, Glenn Smith, Han Guo, Boya Liu, Zehua Pan, Zijie Wang, Shuangyu Xiong, Ruogu Fang“... patients caused by Alzheimer's disease. Highly modular machine learning techniques were employed throughout...”
Publicado 2021
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237por Zhong-Hui Shen, Zhi-Wei Bao, Xiao-Xing Cheng, Bao-Wen Li, Han-Xing Liu, Yang Shen, Long-Qing Chen, Xiao-Guang Li, Ce-Wen Nan“... nanocomposites. Subsequently, based on 6615 high-throughput calculation results, a machine learning strategy...”
Publicado 2021
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238por Liyan Pan, Guangjian Liu, Fangqin Lin, Shuling Zhong, Huimin Xia, Xin Sun, Huiying Liang“... prediction model based on machine learning algorithms. Monte Carlo cross-validation nested by 10-fold cross...”
Publicado 2017
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239“...Abstract We aimed to investigate the feasibility of machine learning (ML) algorithm to distinguish...”
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