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Machine learning

Predicting mental health problems in adolescence using machine learning techniques

Ashley E. Tate, Ryan C. McCabe, [ ... ], Ralf Kuja-Halkola

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

Huasheng Huang, Jizhong Deng, [ ... ], Lei Zhang

Deep learning approach to bacterial colony classification

Bartosz Zieliński, Anna Plichta, [ ... ], Dorota Ochońska

A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes

Marcel Adam Just, Vladimir L. Cherkassky, Sandesh Aryal, Tom M. Mitchell

Computational Identification of Protein Methylation Sites through Bi-Profile Bayes Feature Extraction

Jianlin Shao, Dong Xu, [ ... ], Sai-Ming Ngai

Deep learning via LSTM models for COVID-19 infection forecasting in India

Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan

A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis

Jérôme Allyn, Nicolas Allou, [ ... ], Cyril Ferdynus

Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest

Zhu-Hong You, Keith C. C. Chan, Pengwei Hu

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

Adrian Rauchfleisch, Jonas Kaiser

Multilingual Twitter Sentiment Classification: The Role of Human Annotators

Igor Mozetič, Miha Grčar, Jasmina Smailović

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks

Petros-Pavlos Ypsilantis, Musib Siddique, [ ... ], Giovanni Montana

Identification of Novel Functional Inhibitors of Acid Sphingomyelinase

Johannes Kornhuber, Markus Muehlbacher, [ ... ], Philipp Tripal

Exploration of machine learning techniques in predicting multiple sclerosis disease course

Yijun Zhao, Brian C. Healy, [ ... ], Tanuja Chitnis

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