Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: cran: evtree
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/evtree
Evolutionary Learning of Globally Optimal Trees
15 versions
Latest release: over 5 years ago
9 dependent packages
1,681 downloads last month
Papers Mentioning evtree 6
10.3389/frai.2021.628441
Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural WaterCited by: 12
Author(s): Daniel Weller, Tanzy Love, Martin Wiedmann
Software Mentions: 16
Published: over 3 years ago
10.3389/fsufs.2020.561517
Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce ProductionCited by: 19
Author(s): Daniel Weller, Tanzy Love, Alexandra Belias, Martin Wiedmann
Software Mentions: 12
Published: about 4 years ago
10.2196/17110
Predicting Metabolic Syndrome With Machine Learning Models Using a Decision Tree Algorithm: Retrospective Cohort StudyCited by: 26
Author(s): Cheng Yu, Yu Lin, Chang Hsien Lin, Sen Te Wang, Shiyng Yu Lin, Sanders H. Lin, Jenny L Wu, Shy Shin Chang
Software Mentions: 7
Published: almost 5 years ago
10.3390/tomography7030031
Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical CancerCited by: 11
Author(s): Ankush Jajodia, Ayushi Gupta, Helmut Prosch, Marius E. Mayerhoefer, Swarupa Mitra, Sunil Pasricha, Anurag Mehta, Sunil K. Puri, Arvind Chaturvedi
Software Mentions: 3
Published: over 3 years ago
10.7717/peerj.3289
Network science meets respiratory medicine for OSAS phenotyping and severity predictionCited by: 24
Author(s): Ștefan Mihăicuță, Mihai Udrescu, Alexandru Topîrceanu, Lucreţia Udrescu
Software Mentions: 1
Published: over 7 years ago
10.1371/journal.pone.0239779
Maternal serum concentration of anti-Müllerian hormone is a better predictor than basal follicle stimulating hormone of successful blastocysts development during IVF treatmentCited by: 5
Author(s): S. Sadruddin, B.D. Barnett, L.T. Ku, Dara Havemann, Sara J. Mucowski, Richard Herrington, Warren W. Burggren
Software Mentions: 1
Published: about 4 years ago