Three Levels of the Predicting of the Influenza Vaccine Strains by E. P. Kharchenko

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Predicting leadership emergence in global virtual teams by Ilan Alon, Erik Lankut, Marjaana Gunkel, Ziaul Haque Munim, Vasyl Taras, Nicole Franziska Richter

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Narrowing the gap for city building height predictions by C. Scott Watson, John R. Elliott

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Modeling Age-to-Age Development Factors in Auto Insurance Through Principal Component Analysis and Temporal Clustering by Shengkun Xie, Chong Gan

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Dual statistical models link baseline visual attention measure to risk for significant symptomatic concussion in sports by Lisa A Spielman, Jun Maruta, Jamshid Ghajar

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Market Predictability Before the Closing Bell Rings by Lu Zhang, Lei Hua

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The Crucial Role of the Initial State in MJO Prediction by L. Bengtsson, S. N. Tulich, J. Dias, B. Wolding, K. J. C. Hall, M. Gehne, G. N. Kiladis, P. Pegion

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Prevention or Promotion? Predicting Author's Regulatory Focus by Aswathy Velutharambath, Kai Sassenberg, Roman Klinger

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PREDICTED SEDIMENTARY SECTION OF SUBGLACIAL LAKE VOSTOK by G. I. Leychenkov, A. M. Popkov

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Multimodal deep learning for allergenic proteins prediction by Lezheng Yu, Yuxin Luo, Shiqi Wu, Siyi Chen, Li Xue, Runyu Jing, Jiesi Luo

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What Is the Predictive Capacity of <i>Sesamum indicum</i> L. Bioparameters Using Machine Learning with Red–Green–Blue (RGB) Images? by Edimir Xavier Leal Ferraz, Alan Cezar Bezerra, Raquele Mendes de Lira, Elizeu Matos da Cruz Filho, Wagner Martins dos Santos, Henrique Fonseca Elias de Oliveira, Josef Augusto Oberdan Souza Silva, Marcos Vinícius da Silva, José Raliuson Inácio da Silva, Jhon Lennon Bezerra da Silva, Antônio Henrique Cardoso do Nascimento, Thieres George Freire da Silva, Ênio Farias de França e Silva

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Link Predictions with Bi-Level Routing Attention by Yu Wang, Shu Xu, Zenghui Ding, Cong Liu, Xianjun Yang

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Prediction of temperature distribution in asphalt concrete layers by Tiraturyan Artem, Uglova Evgenia, Simchuk Evgeniy, Kadyrov Georgiy, Gorskiy Mihail

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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

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Numerical Prediction Uncertainty and Data Worth Analysis of Solute Transport in an Agricultural Clay Till Setting With Preferential Flow by Sachin Karan, Karsten H. Jensen, Torben O. Sonnenborg

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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

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Predicting hepatocellular carcinoma survival with artificial intelligence by İsmet Seven, Doğan Bayram, Hilal Arslan, Fahriye Tuğba Köş, Kübranur Gümüşlü, Selin Aktürk Esen, Mücella Şahin, Mehmet Ali Nahit Şendur, Doğan Uncu

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Protein prediction for trait mapping in diverse populations. by Ryan Schubert, Elyse Geoffroy, Isabelle Gregga, Ashley J Mulford, Francois Aguet, Kristin Ardlie, Robert Gerszten, Clary Clish, David Van Den Berg, Kent D Taylor, Peter Durda, W Craig Johnson, Elaine Cornell, Xiuqing Guo, Yongmei Liu, Russell Tracy, Matthew Conomos, Tom Blackwell, George Papanicolaou, Tuuli Lappalainen, Anna V Mikhaylova, Timothy A Thornton, Michael H Cho, Christopher R Gignoux, Leslie Lange, Ethan Lange, Stephen S Rich, Jerome I Rotter, NHLBI TOPMed Consortium, Ani Manichaikul, Hae Kyung Im, Heather E Wheeler

“…Our predictive models in diverse populations are publicly available for use in proteome mapping methods at https://doi.org/10.5281/zenodo.4837327.…”
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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

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