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861por Chubin Ou, Chubin Ou, Jiahui Liu, Yi Qian, Winston Chong, Dangqi Liu, Xuying He, Xin Zhang, Chuan-Zhi DuanMaterias: “...machine learning...”
Publicado 2021
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862
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863por Martin Prodel, Laurent Finkielsztejn, Laëtitia Roustand, Gaëlle Nachbaur, Lucie de Leotoing, Marie Genreau, Fabrice Bonnet, Jade GhosnMaterias: “...machine learning...”
Publicado 2021
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864por Hanieh Nourkojouri, Nastaran Seyed Shafavi, Mohammad Tahsildoost, Zahra Sadat ZomorodianMaterias: “...machine learning...”
Publicado 2021
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865“... breakthrough of machine learning in prediction, this paper proposes SRI portfolio construction models...”
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866“..., conventional machine learning methods require large amounts of data to address the same types of problems...”
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867por Igor Shuryak, Helen C. Turner, Monica Pujol-Canadell, Jay R. Perrier, Guy Garty, David J. Brenner“...Abstract We implemented machine learning in the radiation biodosimetry field to quantitatively...”
Publicado 2021
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868por Frank S. Heldt, Marcela P. Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanović, Robert Dürichen, Nadezda Lipunova, Robert A. Fletcher, Anne Hancock, Alex McCarthy, Richard A. Pointon, Alexander Brown, James Eaton, Roberto Liddi, Lucy Mackillop, Lionel Tarassenko, Rabia T. Khan“... most predictive of COVID-19 patient trajectories. Among COVID-19 patients machine learning can aid...”
Publicado 2021
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869por Eun-Yeol Ma, Jeong-Whun Kim, Youngmin Lee, Sung-Woo Cho, Heeyoung Kim, Jae Kyoung Kim“... multimetric phenotyping framework by combining supervised and unsupervised machine learning. This clusters...”
Publicado 2021
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870por Claudio Durán, Sara Ciucci, Alessandra Palladini, Umer Z. Ijaz, Antonio G. Zippo, Francesco Paroni Sterbini, Luca Masucci, Giovanni Cammarota, Gianluca Ianiro, Pirjo Spuul, Michael Schroeder, Stephan W. Grill, Bryony N. Parsons, D. Mark Pritchard, Brunella Posteraro, Maurizio Sanguinetti, Giovanni Gasbarrini, Antonio Gasbarrini, Carlo Vittorio CannistraciEnlace del recurso
Publicado 2021
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871“... of supervised machine learning (ML) models including kernel ridge regression (KRR), support vector regression...”
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872por Keiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, Masae Konno, Daichi Yamada, Kentaro Mannen, Takashi Nagata, Yu Inatsu, Hiromu Yawo, Kei Yura, Oded Béjà, Hideki Kandori, Ichiro Takeuchi“...Inoue, Takeuchi and colleagues propose a machine learning-based protocol to screen rhodopsins...”
Publicado 2021
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873por Rasool Pelalak, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian“... of the numerical method, and then the machine learning observation started to investigate the level of complexity...”
Publicado 2021
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874“... medicine workflows for cancer treatment. Here, the authors integrate machine learning and genome-scale...”
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875
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876por Arturo Moncada-Torres, Marissa C. van Maaren, Mathijs P. Hendriks, Sabine Siesling, Gijs Geleijnse“.... Recently, several machine learning (ML) techniques have been adapted for this task. Although they have...”
Publicado 2021
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877“... in methanogenesis. The genomics-enabled machine learning modeling approach can provide predictive insights...”
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878por Georgios Papoutsoglou, Makrina Karaglani, Vincenzo Lagani, Naomi Thomson, Oluf Dimitri Røe, Ioannis Tsamardinos, Ekaterini Chatzaki“... for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning...”
Publicado 2021
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879por Kookjin Lee, Sangjin Nam, Hyunjin Ji, Junhee Choi, Jun-Eon Jin, Yeonsu Kim, Junhong Na, Min-Yeul Ryu, Young-Hoon Cho, Hyebin Lee, Jaewoo Lee, Min-Kyu Joo, Gyu-Tae KimEnlace del recurso
Publicado 2021
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880