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621“... designed an artificial neural network approach, which outputs a number of suitable ice type classes. Input...”
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622by Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron“... and learning-based methodologies to propose computationally efficient strategies able to benefit from the large...”
Published in Remote Sensing (2020)
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623by Hansen, Derek“...To draw rigorous conclusions from scientific data, Bayesian statistics requires computationally...”
Published 2023
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624“.... Lauga, and S. Aulagnier, ''Application of neural networks to modelling nonlinear relationships...”
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625“.... Lauga, and S. Aulagnier, ''Application of neural networks to modelling nonlinear relationships...”
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626by Jouvet, Guillaume, Cordonnier, Guillaume, Kim, Byungsoo, Lüthi, Martin P, Vieli, Andreas, Aschwanden, Andy“.... The novelty of IGM is that it models the ice flow by a Convolutional Neural Network, which is trained from...”
Published 2022
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627by Beauchamp, Maxime, Fablet, Ronan, Ubelmann, Clément, Ballarotta, Maxime, Chapron, Bertrand“...-based methodologies to propose computationally efficient strategies able to benefit from the large...”
Published 2020
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628by Miguel, Barbara Hass, Sano, Edson EyjiGet access
Published in Revista Brasileira de Geografia Física (2019)
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629by Alvarez Herrera, Gerardo Paulino, Agnolin, Federico, Novas, Fernando Emilio“... large foramina and bone sculpture. A computed tomography scan of the Taniwhasaurus rostrum revealed a...”
Published in The Science of Nature
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630by Weinelt, M, Vogelsang, E, Kucera, M, Pflaumann, U, Sarnthein, M, Voelker, A, Erlenkeuser, H, Malmgren, Ba“...) to trace centennial-scale oscillations in SST and sea-ice cover. We used three independent computational...”
Published in Paleoceanography (2003)
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631by Cherif, E., Feilhauer, Hannes, Berger, K., Dao, P.D., Ewald, M., Hank, T.B., He, Y., Kovach, K.R., Lu, B., Townsend, P.A., Kattenborn, T.“..., we propose three multi-trait modeling approaches based on Convolutional Neural Networks (CNNs...”
Published in Remote Sensing of Environment (2023)
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632by Mei, Yiwen, Maggioni, Viviana, Houser, Paul, Xue, Yuan, Rouf, Tasnuva“... and Applications, Version 2 (MERRA‐2) precipitation product using the random forest classification and regression...”
Published in Water Resources Research (2020)
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633by Capet, Arthur“... of neural algorithm analysis and related to the phases of well known teleconnection systems (i.e. the North...”
Published 2014
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634by Peng, Chengbin, Duarte, Carlos M., Costa, Daniel P., Guinet, Christophe, Harcourt, R., Hindell, Mark A., Sequeira, Ana M. M., Muelbert, Monica, Thums, Michele, Wong, Ka-Chun, Zhang, Xiangliang“... animal groups. To do this, we propose a carefully designed recurrent neural network and combine...”
Published in Applied Sciences (2020)
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635by V. A. Pchelkina, I. M. Chernukha, L. V. Fedulova, N. A. Ilyin, V. А. Pchelkina, I. М. ChernukhaGet access
Published in Arctic Science (2022)
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636by Oudman, Thomas, Laland, Kevin, Ruxton, Graeme, Tombre, Ingunn, Shimmings, Paul, Prop, Jouke“... Approximate Bayesian Computation, we assessed the relative likelihood of models with different “decision rules...”
Published in Frontiers in Ecology and Evolution (2020)
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637“... most of their time under water. We developed a computationally efficient, Bayesian state-space...”
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638by Westö, Johan, Martyniuk, Nataliia, Koskela, Sanna, Turunen, Tuomas, Pentikäinen, Santtu, Ala-Laurila, Petri“... Foundation for Technology Promotion (T.T.). We acknowledge the computational resources provided by the Aalto...”
Published in Current Biology (2022)
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