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Machine learning

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier

SoilGrids250m: Global gridded soil information based on machine learning

Tomislav Hengl, Jorge Mendes de Jesus, [ ... ], Bas Kempen

Inferring Regulatory Networks from Expression Data Using Tree-Based Methods

Vân Anh Huynh-Thu, Alexandre Irrthum, Louis Wehenkel, Pierre Geurts

In Silico Approach for Predicting Toxicity of Peptides and Proteins

Sudheer Gupta, Pallavi Kapoor, [ ... ], Gajendra P. S. Raghava

miRWalk: An online resource for prediction of microRNA binding sites

Carsten Sticht, Carolina De La Torre, Alisha Parveen, Norbert Gretz

Machine learning algorithm validation with a limited sample size

Andrius Vabalas, Emma Gowen, Ellen Poliakoff, Alexander J. Casson

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen F. Weng, Jenna Reps, [ ... ], Nadeem Qureshi

Visualizing a field of research: A methodology of systematic scientometric reviews

Chaomei Chen, Min Song

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

Sabri Boughorbel, Fethi Jarray, Mohammed El-Anbari

A deep learning framework for financial time series using stacked autoencoders and long-short term memory

Wei Bao, Jun Yue, Yulei Rao

Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data

Forrest R. Stevens, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

Markus Goldstein, Seiichi Uchida

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