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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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A new red wine prediction framework using machine learningYe, Chao ; Li, Ke ; Jia, Guo-zhuJournal of physics. Conference series, 2020-11, Vol.1684 (1), p.12067 [Peer Reviewed Journal]IOP PublishingFull text available |
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Inverse molecular design using machine learning: Generative models for matter engineeringSanchez-Lengeling, Benjamin ; Aspuru-Guzik, AlánScience (American Association for the Advancement of Science), 2018-07, Vol.361 (6400), p.360-365 [Peer Reviewed Journal]United StatesFull text available |
| 3 |
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Identification of connected arguments based on reasoning schemes "from expert opinion"Salomatina, N V ; Kononenko, I S ; Sidorova, E A ; Pimenov, I SJournal of physics. Conference series, 2021-01, Vol.1715 (1), p.12013 [Peer Reviewed Journal]IOP PublishingFull text available |
| 4 |
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Predict New App Quality By Using Machine LearningZhong, Zhenghuan ; Bao, Yuhang ; Shen, Shiyao ; Zhou, EntongJournal of physics. Conference series, 2020-12, Vol.1693 (1), p.12111 [Peer Reviewed Journal]IOP PublishingFull text available |
| 5 |
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An Intelligent Procedure for Dynamic Evaluation in a Scientific Learning SessionDiyer, Okacha ; Achtaich, Naceur ; Najib, KhalidJournal of physics. Conference series, 2021-01, Vol.1743 (1), p.12012 [Peer Reviewed Journal]IOP PublishingFull text available |
| 6 |
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Sentimental analysis using Machine learning techniques on pythonSampoornam, K P ; Hemalatha, B ; Kaaviyasri, M ; Priyanka, K JayaIOP conference series. Materials Science and Engineering, 2021-03, Vol.1084 (1) [Peer Reviewed Journal]Bristol: IOP PublishingFull text available |
| 7 |
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Nikkei Stock Market Price Index Prediction Using Machine LearningHarahap, Lukman A ; Lipikorn, Rajalida ; Kitamoto, AsanobuJournal of physics. Conference series, 2020-06, Vol.1566 (1), p.12043 [Peer Reviewed Journal]IOP PublishingFull text available |
| 8 |
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Combining theory and experiment in lithium–sulfur batteries: Current progress and future perspectivesChen, Xiang ; Hou, Tingzheng ; Persson, Kristin A. ; Zhang, QiangMaterials today (Kidlington, England), 2019-01, Vol.22 (C), p.142-158 [Peer Reviewed Journal]United Kingdom: Elsevier LtdFull text available |
| 9 |
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Machine learning: Trends, perspectives, and prospectsJordan, M. I. ; Mitchell, T. M.Science (American Association for the Advancement of Science), 2015-07, Vol.349 (6245), p.255-260 [Peer Reviewed Journal]United States: American Association for the Advancement of ScienceFull text available |
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Predicting reaction performance in C-N cross-coupling using machine learningAhneman, Derek T ; Estrada, Jesús G ; Lin, Shishi ; Dreher, Spencer D ; Doyle, Abigail GScience (American Association for the Advancement of Science), 2018-04, Vol.360 (6385), p.186-190 [Peer Reviewed Journal]United States: The American Association for the Advancement of ScienceFull text available |
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