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Machine learning

Comparison of five Boosting-based models for estimating daily reference evapotranspiration with limited meteorological variables

Tianao Wu, Wei Zhang, Xiyun Jiao, Weihua Guo, Yousef Alhaj Hamoud

published 29 Jun 2020

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New machine learning method for image-based diagnosis of COVID-19

Mohamed Abd Elaziz, Khalid M. Hosny, Ahmad Salah, Mohamed M. Darwish, Songfeng Lu, Ahmed T. Sahlol

published 26 Jun 2020

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Population coding of figure and ground in natural image patches by V4 neurons

Yukako Yamane, Atsushi Kodama, Motofumi Shishikura, Kouji Kimura, Hiroshi Tamura, Ko Sakai

published 26 Jun 2020

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A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer

Aydin Demircioglu, Johannes Grueneisen, Marc Ingenwerth, Oliver Hoffmann, Katja Pinker-Domenig, Elizabeth Morris, Johannes Haubold, Michael Forsting, Felix Nensa, Lale Umutlu

published 26 Jun 2020

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Application of improved ELM algorithm in the prediction of earthquake casualties

Xing Huang, Mengjie Luo, Huidong Jin

published 25 Jun 2020

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Learning to localize sounds in a highly reverberant environment: Machine-learning tracking of dolphin whistle-like sounds in a pool

Sean F. Woodward, Diana Reiss, Marcelo O. Magnasco

published 25 Jun 2020

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Using structured pathology data to predict hospital-wide mortality at admission

Mieke Deschepper, Willem Waegeman, Dirk Vogelaers, Kristof Eeckloo

published 25 Jun 2020

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The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures

Esther Grüner, Michael Wachendorf, Thomas Astor

published 25 Jun 2020

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On-line anxiety level detection from biosignals: Machine learning based on a randomized controlled trial with spider-fearful individuals

Frank R. Ihmig, Antonio Gogeascoechea H., Frank Neurohr-Parakenings, Sarah K. Schäfer, Johanna Lass-Hennemann, Tanja Michael

published 23 Jun 2020

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Precise automatic classification of 46 different pollen types with convolutional neural networks

Víctor Sevillano, Katherine Holt, José L. Aznarte

published 23 Jun 2020

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FasTag: Automatic text classification of unstructured medical narratives

Guhan Ram Venkataraman, Arturo Lopez Pineda, Oliver J. Bear Don’t Walk IV, Ashley M. Zehnder, Sandeep Ayyar, Rodney L. Page, Carlos D. Bustamante, Manuel A. Rivas

published 22 Jun 2020

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Explaining decisions of deep neural networks used for fish age prediction

Alba Ordoñez, Line Eikvil, Arnt-Børre Salberg, Alf Harbitz, Sean Meling Murray, Michael C. Kampffmeyer

published 19 Jun 2020

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Predicting biomass of rice with intermediate traits: Modeling method combining crop growth models and genomic prediction models

Yusuke Toda, Hitomi Wakatsuki, Toru Aoike, Hiromi Kajiya-Kanegae, Masanori Yamasaki, Takuma Yoshioka, Kaworu Ebana, Takeshi Hayashi, Hiroshi Nakagawa, Toshihiro Hasegawa, Hiroyoshi Iwata

published 19 Jun 2020

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