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Machine learning

A design for life: Predicting cognitive performance from lifestyle choices

Emily S. Nichols, Georgia Nelson, Conor J. Wild, Adrian M. Owen

Generative adversarial networks for anonymous acneic face dataset generation

Hazem Zein, Samer Chantaf, Régis Fournier, Amine Nait-Ali

User tendency-based rating scaling in online trading networks

Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, Sungsu Lim

Fall prediction in a quiet standing balance test via machine learning: Is it possible?

Juliana Pennone, Natasha Fioretto Aguero, [ ... ], Alexandre Alarcon do Passo Suaide

The limitations of automatically generated curricula for continual learning

Anna Kravchenko, Rhodri Cusack

Using explainable AI to investigate electrocardiogram changes during healthy aging—From expert features to raw signals

Gabriel Ott, Yannik Schaubelt, [ ... ], Nils Strodthoff

Identifying a group of factors predicting cognitive impairment among older adults

Longgang Zhao, Yuan Wang, [ ... ], Anwar T. Merchant

Research on the chemical oxygen demand spectral inversion model in water based on IPLS-GAN-SVM hybrid algorithm

Qirong Lu, Jian Zou, Yingya Ye, Zexin Wang

Machine learning for prediction of acute kidney injury in patients diagnosed with sepsis in critical care

Jianshan Shi, Huirui Han, [ ... ], Yanfen Li

An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm

Afnan M. Alhassan

Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016

Solomon Hailemariam Tesfaye, Binyam Tariku Seboka, Daniel Sisay

Who supports Bernie? Analyzing identity and ideological variation on Twitter during the 2020 democratic primaries

Stef M. Shuster, Celeste Campos-Castillo, Navid Madani, Kenneth Joseph

Online application for the diagnosis of atherosclerosis by six genes

Zunlan Zhao, Shouhang Chen, [ ... ], Xiqing Li

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