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Supervised machine learning

Deep learning prediction of pathological complete response, residual cancer burden, and progression-free survival in breast cancer patients

Hongyi Dammu, Thomas Ren, Tim Q. Duong

Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin

Felix Soldner, Bennett Kleinberg, Shane D. Johnson

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

Nail Chabane, Achraf Bouaoune, [ ... ], Vladimir Makarenkov

Registered report protocol: A scoping review to identify potential predictors as features for developing automated estimation of the probability of being frail in secondary care

Dirk H. van Dalen, Angèle P. M. Kerckhoffs, Esther de Vries

Machine learning for cell type classification from single nucleus RNA sequencing data

Huy Le, Beverly Peng, [ ... ], Richard H. Scheuermann

Strangely mined bitcoins: Empirical analysis of anomalies in the bitcoin blockchain transaction network

María Óskarsdóttir, Jacky Mallett

PHOTONAI—A Python API for rapid machine learning model development

Ramona Leenings, Nils Ralf Winter, [ ... ], Tim Hahn

Microblog credibility indicators regarding misinformation of genetically modified food on Weibo

Jiaojiao Ji, Naipeng Chao, Shitong Wei, George A. Barnett

Automatic image annotation for fluorescent cell nuclei segmentation

Fabian Englbrecht, Iris E. Ruider, Andreas R. Bausch

Deep learning classification of lipid droplets in quantitative phase images

Luke Sheneman, Gregory Stephanopoulos, Andreas E. Vasdekis

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

Furqan Rustam, Madiha Khalid, [ ... ], Gyu Sang Choi

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

Tadashi Miyagawa, Minami Sasaki, Akira Yamaura

The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice

Michael Barth, Arne Güllich, Christian Raschner, Eike Emrich

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