An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

Cited by (1,004)

Items 701–800 of 1,004

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2. An NCME Instructional Module on Data Mining Methods for Classification and Regression
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4. Predictive thresholds for forecasting the compatibility of Forficula auricularia and Aphelinus mali as biological control agents against woolly apple aphid in apple orchards
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5. Comparison of species classification models of mass spectrometry data: Kernel Discriminant Analysis vs Random Forest; A case study of Afrormosia ( Pericopsis elata (Harms) Meeuwen)
   Victor Deklerck, Kristen N. Finch, Peter Gasson, Jan Van den Bulcke, Joris Van Acker, Hans Beeckman, Edgard O. Espinoza · 2017 · Rapid Communications in Mass Spectrometry
6. Predicting Sex-Specific Nonfatal Suicide Attempt Risk Using Machine Learning and Data From Danish National Registries
   Jaimie L. Gradus, Anthony Joseph Rosellini, Erzsébet Horváth–Puhó, Tammy Jiang, Amy E. Street, Isaac R. Galatzer‐Levy, Timothy Lee Lash, Henrik Toft Sørensen · 2021 · American Journal of Epidemiology
7. Generalized Measurement Invariance Tests with Application to Factor Analysis
   Leibniz-Informationszentrum Wirtschaft, Christopher D. Edgar, Achim Zeileis · 2011 · RePEc: Research Papers in Economics
8. Phonological Influences in Syntactic Alternations
   Stephanie S. Shih · 2017 · Oxford University Press eBooks
9. Socioeconomic inequalities in diabetes prevalence: the case of South Africa between 2003 and 2016
   Sahar Sidahmed, Siegfried Geyer, Johannes Beller · 2023 · BMC Public Health
10. Incidence, Risk Factors, and Long-Term Outcomes for Extubation Failure in ICU in Patients With Obesity
    Audrey DE JONG, Mathieu Capdevila, Yassir Aarab, M Cros, Joris Pensier, Inès Lakbar, Clément Monet, Hervé Quintard, Raphaël Cinotti, Karim Asehnoune et al. · 2024 · CHEST Journal
11. Spatially explicit summary statistics for historical population genetic inference
    Diego F. Alvarado‐Serrano, Michael J. Hickerson · 2015 · Methods in Ecology and Evolution
12. Key predictors of extinction risk in sea breams and porgies (Family: Sparidae)
    Mia T. Comeros‐Raynal, Beth Polidoro, Jennifer Broatch, BQ Mann, Claire E. Gorman, CD Buxton, Angela M. Goodpaster, Yukio Iwatsuki, Timothy C. MacDonald, David A. Pollard et al. · 2016 · Biological Conservation
13. MTHFR Gene Polymorphism-Mutations and Air Pollution as Risk Factors for Breast Cancer
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14. Biomass retrieval from L-band polarimetric UAVSAR backscatter and PRISM stereo imagery
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15. Low Light Availability Associated with American Beech Is the Main Factor for Reduced Sugar Maple Seedling Survival and Growth Rates in a Hardwood Forest of Southern Quebec
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16. The modulating role of traits on the biogeographic dynamics of chondrichthyans from the Neogene to the present
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17. Rapid Identification of Kudzu Powder of Different Origins Using Laser-Induced Breakdown Spectroscopy
    Fei Liu, Wei Wang, Tingting Shen, Jiyu Peng, Wenwen Kong · 2019 · Sensors
18. Prediction of early mortality in patients with cancer-associated thrombosis in the RIETE Database
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19. Biogeographical analyses to facilitate targeted conservation of orchid diversity hotspots in Costa Rica
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20. Addressing Measurement Error in Random Forests Using Quantitative Bias Analysis
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21. Suicide prediction among men and women with depression: A population-based study
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22. Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets
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23. Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
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24. IRI Estimation Based on Pavement Distress Type, Density, and Severity: Efficacy of Machine Learning and Statistical Techniques
    Yu Qiao, Sikai Chen, Majed Alinizzi, Miltiadis Alamaniotis, Samuel Labi · 2022 · Journal of Infrastructure Systems
25. Environmental factors regulate soil microbial attributes and their response to drought in rangeland ecosystems
    Santiago Toledo, Viviana F. Bondaruk, Laura Yahdjian, Gastón R. Oñatibia, Alejandro Loydi, Juan Alberti, Carlos Martín Bruschetti, Jesús Pascual, Guadalupe Peter, Walter Agüero et al. · 2023 · The Science of The Total Environment
26. Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: a machine learning analysis and Tree SHAP interpretation
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27. Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features
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28. Drivers of nitrogen dynamics in ecologically based agriculture revealed by long‐term, high‐frequency field measurements
    Denise M. Finney, Sara E. Eckert, Jason Philip Kaye · 2015 · Ecological Applications
29. Can sugar maple establish into the boreal forest? Insights from seedlings under various canopies in southern Quebec
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30. Knowledge, attitudes and practices related to the influenza virus and vaccine among older adults in Eastern China
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31. Genomic breeding values, SNP effects and gene identification for disease traits in cow training sets
    S. Naderi, Mehdi Bohlouli, Tong Yin, Sven König · 2018 · Animal Genetics
32. Differences in the miRNA signatures of chronic musculoskeletal pain patients from neuropathic or nociceptive origins
    Camille Florine Dayer, François Lüthi, Joane Le Carré, Philippe Vuistiner, Philippe Terrier, Charles Benaïm, Jean‐Paul Giacobino, Bertrand Léger · 2019 · PLoS ONE
33. Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit
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34. Predictors of CPAP outcome in hospitalized COVID ‐19 patients
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35. Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey
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36. Semantic relations and compound transparency: A regression study in CARIN theory
    Hiển Phạm, R. Harald Baayen · 2013 · Psihologija
37. Role of intraoperative fluids on hospital length of stay in laparoscopic bariatric surgery: a retrospective study in 224 consecutive patients
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38. Advanced predictive methods for wine age prediction: Part I – A comparison study of single-block regression approaches based on variable selection, penalized regression, latent variables and tree-based ensemble methods
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39. Evaluation of random forest regression for prediction of breeding value from genomewide SNPs
    Rupam Kumar Sarkar, Atmakuri Ramakrishna Rao, Prabina Kumar Meher, Nepolean Thirunavukkarasu, Trilochan Mohapatra · 2015 · Journal of Genetics
40. De-Anonymizing Social Networks With Random Forest Classifier
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41. Identifying the drivers and predicting the outcome of conservation agriculture globally
    John P. Laborde, Charles S. Wortmann, Humberto Blanco‐Canqui, Guillermo Antonio Baigorria, John L. Lindquist · 2019 · Agricultural Systems
42. Deductive data mining.
    Maxwell R. Hong, Ross Jacobucci, Gitta H. Lubke · 2020 · Psychological Methods
43. Machine learning building price prediction with green building determinant
    Thuraiya Mohd, Syafiqah Jamil, Suraya Masrom · 2020 · IAES International Journal of Artificial Intelligence
44. J-PLUS: Searching for very metal-poor star candidates using the SPEEM pipeline
    Carlos Andrés Galarza, S. Daflon, Vinicius Moris Placco, Carlos Allende Prieto, M. Borges Fernandes, Haibo Yuan, C. López-Sanjuán, Young Sun Lee, Enrique Solano, F. Jiménez-Esteban et al. · 2021 · Astronomy and Astrophysics
45. Acoustic detectability of whales amidst underwater noise off the west coast of South Africa
    Fannie W. Shabangu, Dawit G. Yemane, George Best, Bobbi J. Estabrook · 2022 · Marine Pollution Bulletin
46. Neuropeptide Y is Elevated in Heart Failure and is an Independent Predictor of Outcomes
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47. Regional-scale mapping of tree cover, height and main phenological tree types using airborne laser scanning data
    Cici Alexander, Peder Klith Bøcher, Lars Arge, Jens‐Christian Svenning · 2014 · Remote Sensing of Environment
48. The effects of co-morbidity in defining major depression subtypes associated with long-term course and severity
    Klaas J. Wardenaar, Hanna M. van Loo, Tianxi Cai, Maurizio Fava M. D, Michael J. Gruber, Jason J. Li, Peter de Jonge, Andrew Alan Nierenberg, Maria V. Petukhova, Sherri Rose et al. · 2014 · Psychological Medicine
49. The Influence of Land Cover, Vertical Structure, and Socioeconomic Factors on Outdoor Water Use in a Western US City
    Edward A. Gage, David J. Cooper · 2015 · Water Resources Management
50. Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
    Célina Roda, Hélène Charreire, Thierry Feuillet, Joreintje Dingena Mackenbach, Sofie Compernolle, Ketevan Glonti, Helga Bárdos, Harry Rutter, Martin McKee, Johannes Brug et al. · 2016 · International Journal of Behavioral Nutrition and Physical Activity
51. Using Vegetation Indices as Input into Random Forest for Soybean and Weed Classification
    Reginald S. Fletcher · 2016 · American Journal of Plant Sciences
52. Genomics of end-Pleistocene population replacement in a small mammal
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53. Adjacent woodlands rather than habitat connectivity influence grassland plant, carabid and bird assemblages in farmland landscapes
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54. Phylogeny, biogeography and methodology: a meta-analytic perspective on heterogeneity in adult marine turtle survival rates
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55. Which regression method to use? Making informed decisions in “data-rich/knowledge poor” scenarios – The Predictive Analytics Comparison framework (PAC)
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56. The Relative Influence of Storm and Landscape Characteristics on Shallow Groundwater Responses in Forested Headwater Catchments
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57. Perceptions of U.S. and Canadian maple syrup producers toward climate change, its impacts, and potential adaptation measures
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58. A multi-scale, integrative modeling framework for setting conservation priorities at the catchment scale for the Freshwater Pearl Mussel Margaritifera margaritifera
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59. Growing Random Forests reveals that exposure and proficiency best account for individual variability in L2 (and L1) brain potentials for syntax and semantics
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60. Fertility is a key predictor of the double burden of malnutrition among women of child-bearing age in sub-Saharan Africa
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61. Development and Application of a Genetic Algorithm for Variable Optimization and Predictive Modeling of Five-Year Mortality Using Questionnaire Data
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62. Prognostic biomarkers of IFNb therapy in multiple sclerosis patients
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63. Colloquialization versus Densification in Australian English: A Multidimensional Analysis of the Australian Diachronic Hansard Corpus (ADHC)
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64. A scoping review of simulation modeling in built environment and physical activity research: Current status, gaps, and future directions for improving translation
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65. Finding the right fuel for the analytical engine: Expanding the leader trait paradigm through machine learning?
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66. Predicting performance at the group‐phase and knockout‐phase of the 2015 Rugby World Cup
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67. A Novel Staging System for De Novo Metastatic Breast Cancer Refines Prognostic Estimates
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72. Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach
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73. A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
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75. Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors
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76. Multi‐scale Modeling of Soil Series Using Remote Sensing in a Wetland Ecosystem
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79. Predictive Models for Fast and Effective Profiling of Kinase Inhibitors
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81. Analyzing Monte Carlo Simulation Studies With Classification and Regression Trees
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82. Optimizing patient expectancy in the pharmacologic treatment of major depressive disorder
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83. Estimation of Blast-Induced Air Overpressure in Quarry Mines Using Cubist-Based Genetic Algorithm
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84. Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance
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85. Commentary: Moving Toward Cost-Effectiveness in Using Psychophysiological Measures in Clinical Assessment: Validity, Decision Making, and Adding Value
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86. Handling missing data when estimating causal effects with targeted maximum likelihood estimation
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87. Decoding digital signals: AI sentiment and financial performance at İslamic banks
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90. Probability of Roadside Accidents for Curved Sections on Highways
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91. Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable
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92. Leveraging machine learning to ascertain the implications of preoperative body mass index on surgical outcomes for 282 patients with preoperative obesity and lumbar spondylolisthesis in the Quality Outcomes Database
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94. Patterns and priorities of service need identified through the Child and Adolescent Needs and Strengths (CANS) assessment
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95. Across-subjects classification of stimulus modality from human MEG high frequency activity
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96. Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea
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97. A Method for Improving Imputation and Prediction Accuracy of Highly Seasonal Univariate Data with Large Periods of Missingness
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98. Fatigue following radiation therapy in nasopharyngeal cancer survivors: A dosimetric analysis incorporating patient report and observer rating
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99. Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment
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100. Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study
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