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Machine learning algorithms

Evolution and impact of bias in human and machine learning algorithm interaction

Wenlong Sun, Olfa Nasraoui, Patrick Shafto

published 13 Aug 2020

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The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity

Evelien Schat, Rens van de Schoot, Wouter M. Kouw, Duco Veen, Adriënne M. Mendrik

published 11 Aug 2020

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Beyond convexity—Contraction and global convergence of gradient descent

Patrick M. Wensing, Jean-Jacques Slotine

published 04 Aug 2020

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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)

Amos Stemmer, Ran Shadmi, Orna Bregman-Amitai, David Chettrit, Denitza Blagev, Mila Orlovsky, Lisa Deutsch, Eldad Elnekave

published 03 Aug 2020

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MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants

Kirsley Chennen, Thomas Weber, Xavière Lornage, Arnaud Kress, Johann Böhm, Julie Thompson, Jocelyn Laporte, Olivier Poch

published 31 Jul 2020

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Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

Jocelyn Zhu, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Haifang Li, Tim Q. Duong

published 28 Jul 2020

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Quantitative ultrasound radiomics for therapy response monitoring in patients with locally advanced breast cancer: Multi-institutional study results

Karina Quiaoit, Daniel DiCenzo, Kashuf Fatima, Divya Bhardwaj, Lakshmanan Sannachi, Mehrdad Gangeh, Ali Sadeghi-Naini, Archya Dasgupta, Michael C. Kolios, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Arjun Sahgal, Greg Stanisz, Christine Brezden, Robert Dinniwell, William T. Tran, Wei Yang, Belinda Curpen, Gregory J. Czarnota

published 27 Jul 2020

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Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning

JoonBum Leem, Ha Young Kim

published 27 Jul 2020

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Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study

Milla Juutinen, Cassia Wang, Justin Zhu, Juan Haladjian, Jari Ruokolainen, Juha Puustinen, Antti Vehkaoja

published 23 Jul 2020

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Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network

Rui Chen, Meiling Wang, Yi Lai

published 07 Jul 2020

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Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria

Aaron M. Cohen, Steven Chamberlin, Thomas Deloughery, Michelle Nguyen, Steven Bedrick, Stephen Meninger, John J. Ko, Jigar J. Amin, Alex J. Wei, William Hersh

published 02 Jul 2020

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Application of deep neural network and deep reinforcement learning in wireless communication

Ming Li, Hui Li

published 02 Jul 2020

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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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