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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

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

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

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

A productive clash of perspectives? The interplay between articles’ and authors’ perspectives and their impact on Wikipedia edits in a controversial domain

Jens Jirschitzka, Joachim Kimmerle, [ ... ], Ulrike Cress

Ensemble machine learning and forecasting can achieve 99% uptime for rural handpumps

Daniel L. Wilson, Jeremy R. Coyle, Evan A. Thomas

Question Popularity Analysis and Prediction in Community Question Answering Services

Ting Liu, Wei-Nan Zhang, Liujuan Cao, Yu Zhang

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

Identification of a Novel Gene Signature of ES Cells Self-Renewal Fluctuation through System-Wide Analysis

Luigi Cerulo, Daniela Tagliaferri, [ ... ], Geppino Falco

Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy

David Ayllón, Roberto Gil-Pita, Fernando Seoane

PHOTONAI—A Python API for rapid machine learning model development

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

Computational Approaches for Predicting Biomedical Research Collaborations

Qing Zhang, Hong Yu

Microblog credibility indicators regarding misinformation of genetically modified food on Weibo

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

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