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2101por Marta Skreta, Aryan Arbabi, Jixuan Wang, Erik Drysdale, Jacob Kelly, Devin Singh, Michael Brudno“..., deploying machine learning for this task is restricted by lack of good training data. Here, the authors show...”
Publicado 2021
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2102“...Network embedding is a machine learning technique for construction of low-dimensional...”
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2103“...Machine learning algorithms can decode objects that people see or imagine from their brain activity...”
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2104por Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller“...Nonlinear machine learning methods have good predictive ability but the lack of transparency...”
Publicado 2019
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2105por Seyed Mohamad Moosavi, Arunraj Chidambaram, Leopold Talirz, Maciej Haranczyk, Kyriakos C. Stylianou, Berend Smit“... the authors combine machine learning of (partially) failed experiments with robotic synthesis to capture...”
Publicado 2019
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2106por Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, Natsue Sakata, Masako Kawada, Takaaki Horinouchi, Aki Sakai, Kumi Tanabe, Chikara Furusawa“... and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine...”
Publicado 2020
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2107por Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy Germann, Saryu Fensin, Kipton Barros“...The accuracy of a machine-learned potential is limited by the quality and diversity of the training...”
Publicado 2021
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2108“... of attention. Here the authors use a metadynamics enhanced sampling method and machine learning to compute...”
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2109“... intensive, multi-step molecular simulations. Here, two deep neural network machine learning methods generate...”
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2110por Adriana San-Miguel, Peri T. Kurshan, Matthew M. Crane, Yuehui Zhao, Patrick T. McGrath, Kang Shen, Hang Lu“... and unbiased multidimensional phenotyping method that relies on machine learning and complex feature...”
Publicado 2016
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2111“... existing compositions. Here, machine learning is combined with high-throughput synthesis to identify...”
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2112por Xin Liu, Tao Sun, Anna Shcherbina, Qin Li, Inga Jarmoskaite, Kalli Kappel, Gokul Ramaswami, Rhiju Das, Anshul Kundaje, Jin Billy Li“... CRISPR/Cas9-mediated saturation mutagenesis and machine learning to predict RNA editing efficiency...”
Publicado 2021
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2113“...Magombedze et al. propose a new method combining mathematical modeling and machine learning...”
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2114“... by the 2019 eruption at Whakaari (White Island), New Zealand. The paper proposes a machine learning approach...”
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2115“... higher vulnerability. Here, the authors show that machine learning algorithms applied to locomotor data...”
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2116“...In machine learning approaches relevant for chemical physics and material science, neural network...”
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2117por Entong Zhao, Jeongwon Lee, Chengdong He, Zejian Ren, Elnur Hajiyev, Junwei Liu, Gyu-Boong Jo“... gas has remained challenging. Here, the authors use supervised machine learning to connect the spin...”
Publicado 2021
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2118“... the literature via machine learning and find communities of synthetically related materials with previously...”
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2119“...The advantages coming from involving quantum systems in machine learning are still not fully clear...”
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2120“... machine learning approaches, the authors have underlined a chromatin code for alternative splicing...”
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