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Materias dentro de su búsqueda.
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2241por A. D. Tranter, H. J. Slatyer, M. R. Hush, A. C. Leung, J. L. Everett, K. V. Paul, P. Vernaz-Gris, P. K. Lam, B. C. Buchler, G. T. Campbell“... analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms...”
Publicado 2018
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2242Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequencespor Jason A. Fries, Paroma Varma, Vincent S. Chen, Ke Xiao, Heliodoro Tejeda, Priyanka Saha, Jared Dunnmon, Henry Chubb, Shiraz Maskatia, Madalina Fiterau, Scott Delp, Euan Ashley, Christopher Ré, James R. Priest“... application of machine learning models in medicine. Here the authors develop a weakly supervised deep learning...”
Publicado 2019
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2243por Maria El Abbassi, Jan Overbeck, Oliver Braun, Michel Calame, Herre S. J. van der Zant, Mickael L. Perrin“... an unsupervised machine learning methodology that selects the optimal combination of feature space, clustering...”
Publicado 2021
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2244por Tongzhou Li, Yandong Yin, Zhiwei Zhou, Jiaqian Qiu, Wenbin Liu, Xueting Zhang, Kaiwen He, Yuping Cai, Zheng-Jiang Zhu“... mobility-mass spectrometry and machine learning to assemble a sterol lipid library and characterize...”
Publicado 2021
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2245por Samuel J. Sutanto, Melati van der Weert, Niko Wanders, Veit Blauhut, Henny A. J. Van Lanen“... impacts using machine-learning and confirm that models, which were built with sufficient amount...”
Publicado 2019
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2246por Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall, Damjan Temelkovski, Joel Nulsen, Juliane Perner, Matteo Cereda, Jesper Lagergren, Michael Howell, Christopher Yau, Rebecca C. Fitzgerald, Paola Scaffidi, The Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium, Francesca D. Ciccarelli“..., Benedetti, Foxall and colleagues present a machine learning algorithm to tackle this problem in esophageal...”
Publicado 2019
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2247“...Here, the authors present Protein Interface-score (PI-score), a machine learning-based metric...”
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2248por Yan Kai, Jaclyn Andricovich, Zhouhao Zeng, Jun Zhu, Alexandros Tzatsos, Weiqun Peng“... and present Lollipop, a machine-learning framework which predicts CTCF-mediated long-range interactions using...”
Publicado 2018
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2249por Qingqi Zhang“... be improved through more advanced machine learning methods....”
Publicado 2021
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2250por Yu-han Zhang, Xiao-fei Hu, Jie-chao Ma, Xian-qi Wang, Hao-ran Luo, Zi-feng Wu, Shu Zhang, De-jun Shi, Yi-zhou Yu, Xiao-ming Qiu, Wen-bing Zeng, Wen-bing Zeng, Wei Chen, Jian Wang“..., as well as to present an effective clinically relevant machine learning (ML) system based on medical image...”
Publicado 2021
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2251por Ryan W Gan, Diana Sun, Amanda R Tatro, Shirley Cohen-Mekelburg, Wyndy L Wiitala, Ji Zhu, Akbar K Waljee“...<h4>Introduction</h4>Previous work had shown that machine learning models can predict inflammatory...”
Publicado 2021
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2252“... of machine learning. The PWV derived by radiosonde data (PWV<sub>RAD</sub>) is used as the training target...”
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2253por John P. Haran, Shakti K. Bhattarai, Sage E. Foley, Protiva Dutta, Doyle V. Ward, Vanni Bucci, Beth A. McCormick“... paired functional studies with machine learning approaches to identify bacterial species differentiating...”
Publicado 2019
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2254por A. Sharafeldeen, M. Elsharkawy, F. Khalifa, A. Soliman, M. Ghazal, M. AlHalabi, M. Yaghi, M. Alrahmawy, S. Elmougy, H. S. Sandhu, A. El-Baz“... markers and other machine learning fusion methods. Namely, it achieved $$96.15\%$$ 96.15 % , $$99.23...”
Publicado 2021
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2255“... datasets to enrich the analysis (e.g., with samples from other tissues). From a machine learning...”
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2256“..., mainly machine learning algorithms to perform classification or clustering. This paper presents...”
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2257por A. Berdyshev“... about customer behavior. Thanks to the development of machine learning, artificial intelligence...”
Publicado 2018
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2258por Xiaoyu Tu, María Katherine Mejía-Guerra, Jose A. Valdes Franco, David Tzeng, Po-Yu Chu, Wei Shen, Yingying Wei, Xiuru Dai, Pinghua Li, Edward S. Buckler, Silin Zhong“... regulatory network in maize leaf using 104 TFs ChIP-seq data and train machine learning models to predict TF...”
Publicado 2020
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2259por Daniel Ho, Denis M. Nyaga, William Schierding, Richard Saffery, Jo K. Perry, John A. Taylor, Mark H. Vickers, Andreas W. Kempa-Liehr, Justin M. O’Sullivan“...Ho, Nyaga et al. develop a machine learning approach for ranking tissue-specific gene regulatory...”
Publicado 2021
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2260por Jonathan Yinhao Huang, Shirong Cai, Zhongwei Huang, Mya Thway Tint, Wen Lun Yuan, Izzuddin M. Aris, Keith M. Godfrey, Neerja Karnani, Yung Seng Lee, Jerry Kok Yen Chan, Yap Seng Chong, Johan Gunnar Eriksson, Shiao-Yng Chan“...Huang and colleagues used machine-learning estimators to analyse a broad range of parameters in a...”
Publicado 2021
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