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Forecasting

On the overestimation of random forest’s out-of-bag error

Silke Janitza, Roman Hornung

Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic

Rohitash Chandra, Yixuan He

A systematic review of machine learning models for predicting outcomes of stroke with structured data

Wenjuan Wang, Martin Kiik, [ ... ], Benjamin Bray

The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures

Anne-Claire Haury, Pierre Gestraud, Jean-Philippe Vert

Improving stock trading decisions based on pattern recognition using machine learning technology

Yaohu Lin, Shancun Liu, [ ... ], Bingbing Jiang

A 3-minute test of cardiorespiratory fitness for use in primary care clinics

Yi Guo, Jiang Bian, [ ... ], François Modave

Quantitative Determination of Technological Improvement from Patent Data

Christopher L. Benson, Christopher L. Magee

Use of a machine learning framework to predict substance use disorder treatment success

Laura Acion, Diana Kelmansky, [ ... ], Stephan Arndt

A Novel Serum Metabolomics-Based Diagnostic Approach for Colorectal Cancer

Shin Nishiumi, Takashi Kobayashi, [ ... ], Masaru Yoshida

A Model of Human Cooperation in Social Dilemmas

Valerio Capraro

Estimating Additive and Non-Additive Genetic Variances and Predicting Genetic Merits Using Genome-Wide Dense Single Nucleotide Polymorphism Markers

Guosheng Su, Ole F. Christensen, [ ... ], Mogens S. Lund

Temptation at Work

Alessandro Bucciol, Daniel Houser, Marco Piovesan

A Comparison of MCC and CEN Error Measures in Multi-Class Prediction

Giuseppe Jurman, Samantha Riccadonna, Cesare Furlanello

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