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Machine learning algorithms

Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study

Giorgia Coratti, Jacopo Lenkowicz, Stefano Patarnello, Consolato Gullì, Maria Carmela Pera, Carlotta Masciocchi, Riccardo Rinaldi, Valeria Lovato, Antonio Leone, Alfredo Cesario, Eugenio Mercuri

published 05 May 2022

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E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database

Nima Safaei, Babak Safaei, Seyedhouman Seyedekrami, Mojtaba Talafidaryani, Arezoo Masoud, Shaodong Wang, Qing Li, Mahdi Moqri

published 05 May 2022

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Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma

Roshan Karri, Yi-Ping Phoebe Chen, Katharine J. Drummond

published 04 May 2022

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Validation pipeline for machine learning algorithm assessment for multiple vendors

Bernardo C. Bizzo, Shadi Ebrahimian, Mark E. Walters, Mark H. Michalski, Katherine P. Andriole, Keith J. Dreyer, Mannudeep K. Kalra, Tarik Alkasab, Subba R. Digumarthy

published 29 Apr 2022

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Identifying luminal and basal mammary cell specific genes and their expression patterns during pregnancy

Zhan Dong Li, Xiangtian Yu, Zi Mei, Tao Zeng, Lei Chen, Xian Ling Xu, Hao Li, Tao Huang, Yu-Dong Cai

published 29 Apr 2022

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Transferability of features for neural networks links to adversarial attacks and defences

Shashank Kotyan, Moe Matsuki, Danilo Vasconcellos Vargas

published 27 Apr 2022

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Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data

Yang Li, Zhong Baorong, Xu Xiaohong, Liang Zijun

published 22 Apr 2022

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GNSS multipath suppression technology based on postcorrelation and independent component analysis

Jian Xu, Jicheng Ding

published 21 Apr 2022

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Adversarial robustness assessment: Why in evaluation both L₀ and L_∞ attacks are necessary

Shashank Kotyan, Danilo Vasconcellos Vargas

published 14 Apr 2022

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Device-based measurement of physical activity in pre-schoolers: Comparison of machine learning and cut point methods

Matthew N. Ahmadi, Stewart G. Trost

published 13 Apr 2022

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Using machine learning to understand age and gender classification based on infant temperament

Maria A. Gartstein, D. Erich Seamon, Jennifer A. Mattera, Michelle Bosquet Enlow, Rosalind J. Wright, Koraly Perez-Edgar, Kristin A. Buss, Vanessa LoBue, Martha Ann Bell, Sherryl H. Goodman, Susan Spieker, David J. Bridgett, Amy L. Salisbury, Megan R. Gunnar, Shanna B. Mliner, Maria Muzik, Cynthia A. Stifter, Elizabeth M. Planalp, Samuel A. Mehr, Elizabeth S. Spelke, Angela F. Lukowski, Ashley M. Groh, Diane M. Lickenbrock, Rebecca Santelli, Tina Du Rocher Schudlich, Stephanie Anzman-Frasca, Catherine Thrasher, Anjolii Diaz, Carolyn Dayton, Kameron J. Moding, Evan M. Jordan

published 13 Apr 2022

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Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data

Georgios Douzas, Maria Lechleitner, Fernando Bacao

published 07 Apr 2022

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A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations

Ryer M. Becker, Robert F. Keefe

published 06 Apr 2022

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