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Machine learning

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

J. Emmanuel Johnson, Valero Laparra, [ ... ], Gustau Camps-Valls

Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach

Jordan J. Bird, Chloe M. Barnes, [ ... ], Diego R. Faria

Reading Akkadian cuneiform using natural language processing

Shai Gordin, Gai Gutherz, [ ... ], Yoram Cohen

A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests

Santiago Carbo-Valverde, Pedro Cuadros-Solas, Francisco Rodríguez-Fernández

Cyberbullying severity detection: A machine learning approach

Bandeh Ali Talpur, Declan O’Sullivan

The False positive problem of automatic bot detection in social science research

Adrian Rauchfleisch, Jonas Kaiser

GAN-SAE based fault diagnosis method for electrically driven feed pumps

Hui Han, Lina Hao, Dequan Cheng, He Xu

Intracranial pressure based decision making: Prediction of suspected increased intracranial pressure with machine learning

Tadashi Miyagawa, Minami Sasaki, Akira Yamaura

Predicting overdose among individuals prescribed opioids using routinely collected healthcare utilization data

Jenny W. Sun, Jessica M. Franklin, [ ... ], Brian T. Bateman

Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study

Paolo Sorino, Maria Gabriella Caruso, [ ... ], MICOL Group

The use of deep learning algorithm and digital media art in all-media intelligent electronic music system

Yingming Zheng

Predicting hypertension using machine learning: Findings from Qatar Biobank Study

Latifa A. AlKaabi, Lina S. Ahmed, Maryam F. Al Attiyah, Manar E. Abdel-Rahman

Estimating the incidence of unintended births and pregnancies at the sub-state level to inform program design

Keith Kranker, Sarah Bardin, Dara Lee Luca, So O’Neil

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