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2201por Emanuele Boattini, Susana Marín-Aguilar, Saheli Mitra, Giuseppe Foffi, Frank Smallenburg, Laura Filion“... of obvious structural changes. Boattini et al. use unsupervised machine learning to reveal correlations...”
Publicado 2020
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2202por Jacob W. Crandall, Mayada Oudah, Tennom, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrian, Azim Shariff, Michael A. Goodrich, Iyad Rahwan“..., Go, and Poker. Here the authors develop a machine-learning algorithm that can cooperate effectively...”
Publicado 2018
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2203por Derek M. Kita, Brando Miranda, David Favela, David Bono, Jérôme Michon, Hongtao Lin, Tian Gu, Juejun Hu“..., enabling exponentially more spectral channels per circuit element and lower noise by leveraging a machine...”
Publicado 2018
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2204por Thomas Blasi, Holger Hennig, Huw D. Summers, Fabian J. Theis, Joana Cerveira, James O. Patterson, Derek Davies, Andrew Filby, Anne E. Carpenter, Paul Rees“... and darkfield images of biological cells. Here, Blasi et al.demonstrate that applying machine learning...”
Publicado 2016
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2205por Yong Hu, Scott Broderick, Zipeng Guo, Alpha T. N’Diaye, Jaspal S. Bola, Hans Malissa, Cheng Li, Qiang Zhang, Yulong Huang, Quanxi Jia, Christoph Boehme, Z. Valy Vardeny, Chi Zhou, Shenqiang Ren“.... Here, the authors describe machine learning coupled with additive manufacturing to accelerate...”
Publicado 2021
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2206por Vishu Gupta, Kamal Choudhary, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok Choudhary, Ankit Agrawal“...Artificial intelligence and machine learning can greatly enhance materials property prediction...”
Publicado 2021
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2207“...Huang et al apply and benchmark multiple machine learning methods to align gene expression...”
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2208“... classification analysis utilizing Random Forest machine learning techniques.<h4>Findings</h4>Our machine learning...”
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2209por Adama Traore, Syed Tahir Ata-Ul-Karim, Aiwang Duan, Mukesh Kumar Soothar, Seydou Traore, Ben Zhao“... in regression analysis is compared with other machine learning (ML) models. A feature selection (FS) algorithm...”
Publicado 2021
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2210por Hung-Ji Tsai, Joshua A. Baller, Ivan Liachko, Amnon Koren, Laura S. Burrack, Meleah A. Hickman, Mathuravani A. Thevandavakkam, Laura N. Rusche, Judith Berman“... cerevisiae and Kluyveromyces lactis to train a machine learning algorithm to predict the position of active...”
Publicado 2014
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2211por Arjan Sammani, Ayoub Bagheri, Peter G. M. van der Heijden, Anneline S. J. M. te Riele, Annette F. Baas, C. A. J. Oosters, Daniel Oberski, Folkert W. Asselbergs“... time-consuming endeavor. Natural language processing together with machine learning allows automated...”
Publicado 2021
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2212por Kenji Nakamichi, Jolie Z. Shen, Cecilia S. Lee, Aaron Lee, Emma A. Roberts, Paul D. Simonson, Pavitra Roychoudhury, Jessica Andriesen, April K. Randhawa, Patrick C. Mathias, Alex L. Greninger, Keith R. Jerome, Russell N. Van Gelder“.... Statistical and machine learning models were applied to determine if viral genetic variants were associated...”
Publicado 2021
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2213por Dmitrii Bychkov, Nina Linder, Aleksei Tiulpin, Hakan Kücükel, Mikael Lundin, Stig Nordling, Harri Sihto, Jorma Isola, Tiina Lehtimäki, Pirkko-Liisa Kellokumpu-Lehtinen, Karl von Smitten, Heikki Joensuu, Johan Lundin“... is based on the detection of ERBB2 gene amplification or protein overexpression. Machine learning (ML...”
Publicado 2021
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2214“... organic matter) can be estimated by using Sentinel-2 images and machine learning.; The GBRT (Gradient...”
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2215por Sheng Yin, Yunxing Zuo, Anas Abu-Odeh, Hui Zheng, Xiang-Guo Li, Jun Ding, Shyue Ping Ong, Mark Asta, Robert O. Ritchie“... alloys by large-scale molecular dynamics simulation based on a machine-learning interatomic potential....”
Publicado 2021
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2216por Mallory L. Barnes, Martha M. Farella, Russell L. Scott, David J. P. Moore, Guillermo E. Ponce-Campos, Joel A. Biederman, Natasha MacBean, Marcy E. Litvak, David D. Breshears“... in a machine learning algorithm leads to improved estimates of average uptake, and interannual...”
Publicado 2021
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2217“..., using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level...”
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2218“...Measurement(s) electrical energy • fossil fuel • energy use Technology Type(s) machine learning...”
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2219por Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, PCAWG Tumor Subtypes and Clinical Translation Working Group, Alexandra Danyi, Jeroen de Ridder, Carla van Herpen, Martijn P. Lolkema, Neeltje Steeghs, Gad Getz, Quaid Morris, Lincoln D. Stein, PCAWG Consortium“... is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method...”
Publicado 2020
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2220por Pierre Ploton, Frédéric Mortier, Maxime Réjou-Méchain, Nicolas Barbier, Nicolas Picard, Vivien Rossi, Carsten Dormann, Guillaume Cornu, Gaëlle Viennois, Nicolas Bayol, Alexei Lyapustin, Sylvie Gourlet-Fleury, Raphaël Pélissier“...Mapping ecological variables using machine-learning algorithms based on remote-sensing data has...”
Publicado 2020
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