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

Cited by (1,004)

Items 601–700 of 1,004

1. Integrating Remotely Sensed Imagery and Existing Multiscale Field Data to Derive Rangeland Indicators: Application of Bayesian Additive Regression Trees
   Sarah E. McCord, Michaela Buenemann, Jason W. Karl, Dawn M. Browning, Brian C. Hadley · 2017 · Rangeland Ecology & Management
2. Risk factors for infective endocarditis following transcatheter pulmonary valve replacement in patients with congenital heart disease
   Soraya Sadeghi, Subeer Kanwar Wadia, Gentian Lluri, Jana Tarabay, Anisha Fernando, Morris M. Salem, Sanjay Sinha, Daniel S. Levi, Jamil Aboulhosn · 2019 · Catheterization and Cardiovascular Interventions
3. Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma
   Wei Wei, Ke Wang, Zhenyu Liu, Kaibing Tian, Liang Wang, Jiang Du, Junpeng Ma, Shuo Wang, Longfei Li, Rui Zhao et al. · 2019 · Radiotherapy and Oncology
4. Development of novel in silico prediction model for drug-induced ototoxicity by using naïve Bayes classifier approach
   Hui Zhang, Chun‐Tao Liu, Jun Wei Mao, Chen Shen, Rui-Ling Xie, Bo Mu · 2020 · Toxicology in Vitro
5. Predicting Climate Change Impacts to the Canadian Boreal Forest
   TRISALYN A. NELSON, Nicholas C. Coops, Michael A. Wulder, Liliana Pérez, Jessica L. Fitterer, Ryan Powers, Fabio Fontana · 2014 · Diversity
6. Predicting the spread of aquatic invaders: insight from 200 years of invasion by zebra mussels
   Alexander Y. Karatayev, Lyubov E. Burlakova, Sergey Mastitsky, Dianna K. Padilla · 2015 · Ecological Applications
7. Combined Action Observation and Motor Imagery Neurofeedback for Modulation of Brain Activity
   Christopher Friesen, Timothy Bardouille, Heather F. Neyedli, Shaun Gregory Boe · 2017 · Frontiers in Human Neuroscience
8. Alzheimer’s Biomarkers From Multiple Modalities Selectively Discriminate Clinical Status: Relative Importance of Salivary Metabolomics Panels, Genetic, Lifestyle, Cognitive, Functional Health and Demographic Risk Markers
   Shraddha Sapkota, Tao Huan, Tran Tran, Jiamin Zheng, Richard M. Camicioli, Liang Li, Roger A. Dixon · 2018 · Frontiers in Aging Neuroscience
9. A machine learning model for predicting the ballistic impact resistance of unidirectional fiber-reinforced composite plate
   Xudong Lei, Xianqian Wu, Zilong Zhang, Kailu Xiao, Yunwen Wang, Chenguang Huang · 2021 · Scientific Reports
10. Factors associated with caregiver stability in permanent placements: A classification tree approach
    Laura J. Proctor, Katherine Van Dusen Randazzo, Alan J. Litrownik, Rae R. Newton, Inger P. Davis, Miguel T. Villodas · 2011 · Child Abuse & Neglect
11. Quantitative analysis of the acoustic repertoire of southern right whales in New Zealand
    Trudi A. Webster, Steve Dawson, William Rayment, Susan E. Parks, Sofie M. Van Parijs · 2016 · The Journal of the Acoustical Society of America
12. A Recursive Partitioning Method for the Prediction of Preference Rankings Based Upon Kemeny Distances
    Antonio D’Ambrosio, Willem J. Heiser · 2016 · Psychometrika
13. Mercury Stable Isotopes Discriminate Different Populations of European Seabass and Trace Potential Hg Sources around Europe
    Alice Cransveld, David Amouroux, Emmanuel Tessier, Emmanuil T. Koutrakis, Ayaka Amaha Öztürk, Nicola Bettoso, C.L. Mieiro, Sylvain Bérail, Julien Barré, Nicolas Sturaro et al. · 2017 · Environmental Science & Technology
14. Tree-Based Methods: Concepts, Uses and Limitations under the Framework of Resource Selection Models
    João Carvalho, Servei d'Ecopatologia de Fauna Salvatge, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain, João Santos, Sanidad y Biotecnología, Instituto de Investigación en Recursos Cinegéticos, Consejo Superior de Investigaciones Científicas – Universidad de Castilla-La Mancha - Junta de Comunidades de Castilla-La Macha, Ciudad Real 13071, Spain, Rita Tinoco Torres, Frederico Santarém, Carlos Manoel Da Fonseca · 2018 · Journal of Environmental Informatics
15. Morphometric methods for the analysis and classification of gastropods: a comparison using Littorina littorea
    Darragh Doyle, Martin P. Gammell, Róisín Nash · 2018 · Journal of Molluscan Studies
16. Climate modulation of Niño3.4 SST-anomalies on air quality change in southern China: Application to seasonal forecast of haze pollution
    Xugeng Cheng, Richard Boiyo, Tianliang Zhao, Xiangde Xu, Sunling Gong, Xiaoning Xie, Ke Shang · 2019 · Atmospheric Research
17. Teaching in Times of COVID-19: The Evaluation of Distance Teaching in Elementary and Secondary Schools in Germany
    Rebecca M. Schneider, Karoline A. Sachse, Stefan Schipolowski, Florian Enke · 2021 · Frontiers in Education
18. Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics
    Janine Thome, Robert Steinbach, Julian Großkreutz, Daniel Durstewitz, Georgia Koppe · 2021 · Human Brain Mapping
19. Students' Adaptability Level Prediction in Online Education using Machine Learning Approaches
    Md. Mahmudul Hasan Suzan, Nishat Ahmed Samrin, Al Amin Biswas, Md. Aktaruzzaman Pramanik · 2021 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
20. Are there pollination syndromes in the Australian epacrids (Ericaceae: Styphelioideae)? A novel statistical method to identify key floral traits per syndrome
    Karen A. Johnson · 2013 · Annals of Botany
21. Terminal decline in well-being: The role of multi-indicator constellations of physical health and psychosocial correlates.
    Andreas M. Brandmaier, Nilám Ram, Gert G. Wagner, Denis Gerstorf · 2017 · Developmental Psychology
22. An Active Learning Approach for Improving the Accuracy of Automated Domain Model Extraction
    Chetan Arora, Mehrdad Sabetzadeh, Shiva Nejati, Lionel Briand · 2019 · ACM Transactions on Software Engineering and Methodology
23. Magnitude and efficiency of straw return in building up soil organic carbon: A global synthesis integrating the impacts of agricultural managements and environmental conditions
    Binzhe Li, Fei Liang, Yajing Wang, Wenchao Cao, Song He, Jingsheng Chen, Jingheng Guo · 2023 · The Science of The Total Environment
24. Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations
    Pia Labenski, Michael Ewald, Sebastian Schmidtlein, Faith Ann Heinsch, Fabian Ewald Fassnacht · 2023 · Remote Sensing of Environment
25. The synergy between protected area effectiveness and economic growth
    Binbin V. Li, Shuyao Wu, Stuart L. Pimm, Jingbo Cui · 2024 · Current Biology
26. Adolescents' relationships with mother and father and their links to the quality of romantic relationships: A classification approach
    Sabine Walper, Eva-Verena Wendt · 2015 · European Journal of Developmental Psychology
27. Configuring in-memory cluster computing using random forest
    Zhendong Bei, Zhibin Yu, Ni Luo, Chuntao Jiang, Chengzhong Xu, Shengzhong Feng · 2017 · Future Generation Computer Systems
28. Fitting prediction rule ensembles to psychological research data: An introduction and tutorial.
    Marjolein Fokkema, C. Strobl · 2019 · Psychological methods
29. Exploring characteristic features of attention-deficit/hyperactivity disorder: findings from multi-modal MRI and candidate genetic data
    Jae Hyun Yoo, Johanna Inhyang Kim, Bung-Nyun Kim, Bumseok Jeong · 2019 · Brain Imaging and Behavior
30. Seeing the Forest for the Trees: Random Forest Models for Predicting Survival in Kidney Transplant Recipients
    Ruth Sapir‐Pichhadze, Bruce E. Kaplan · 2019 · Transplantation
31. Linking drought indices to impacts to support drought risk assessment in Liaoning province, China
    Yaxu Wang, Juan Lv, Jamie Hannaford, Yicheng Wang, Hongquan Sun, Lucy Barker, Miaomiao Ma, Zhicheng Su, Michael Eastman · 2020 · Natural hazards and earth system sciences
32. Artificial Intelligence (AI) to the Rescue: Deploying Machine Learning to Bridge the Biorelevance Gap in Antioxidant Assays
    Sunday Olakunle Idowu, Amos A. Fatokun · 2020 · SLAS TECHNOLOGY
33. Walkability measures to predict the likelihood of walking in a place: A classification and regression tree analysis
    Ronit R. Dalmat, Stephen J. Mooney, Philip M. Hurvitz, Chuan Zhou, Anne Vernez Moudon, Brian E. Saelens · 2021 · Health & Place
34. Predicting romantic interest during early relationship development: A preregistered investigation using machine learning
    Paul Wolfe Eastwick, Samantha Joel, Kathleen L. Carswell, Daniel C. Molden, Eli J. Finkel, Shelley A. Blozis · 2022 · European Journal of Personality
35. The SURMetaGIT study: Design and rationale for a prospective pan-omics examination of the gastrointestinal response to Roux-en-Y gastric bypass surgery
    P. Sala, G. Belarmino, N. Machado, C. Cardinelli, Karina Al Assal, M. Silva, D. Fonseca, R. Ishida, M. Santo, E. de Moura et al. · 2016 · Journal of International Medical Research
36. Variables influencing yield-scaled Global Warming Potential and yield of winter wheat production
    Elżbieta Wójcik‐Gront · 2018 · Field Crops Research
37. A synchronized estimation of hourly surface concentrations of six criteria air pollutants with GEMS data
    Qianqian Yang, Jhoon Kim, Yeseul Cho, Won‐Jin Lee, Dongwon Lee, Qiangqiang Yuan, Fan Wang, Chenhong Zhou, Xiaorui Zhang, Xiang Xiao et al. · 2023 · npj Climate and Atmospheric Science
38. The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization
    Arthur Chatton, Julia M. Rohrer · 2024 · Advances in Methods and Practices in Psychological Science
39. Factors Associated With Premature Exits From Supported Housing
    Sonya E. Gabrielian, Alaina V. Burns, Nupur Nanda, Gerhard Hellemann, Vincent R. Kane, Alexander S. Young · 2015 · Psychiatric Services
40. Estimation of Continuous Urban Sky View Factor from Landsat Data Using Shadow Detection
    Matúš Hodúl, Anders Jensen Knudby, Hung Chak Ho · 2016 · Remote Sensing
41. Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook
    Falk Huettmann, Erica H. Craig, Keiko A. Herrick, Andrew P. Baltensperger, Grant Richard Woodrow Humphries, David J. Lieske, Katharine B. Miller, Timothy C. Mullet, Steffen Oppel, Cynthia Reséndiz‐Infante et al. · 2018 · Springer eBooks
42. Predicting first test day milk yield of dairy heifers
    Gabriel Machado Dallago, Darcilene Maria de Figueiredo, Paulo César de Resende Andrade, Roseli Aparecida dos Santos, R. Lacroix, Débora E. Santschi, Daniel M. Lefebvre · 2019 · Computers and Electronics in Agriculture
43. A Contactless Method for Measuring Full-Day, Naturalistic Motor Behavior Using Wearable Inertial Sensors
    John M. Franchak, Vanessa P. Scott, Chuan Luo · 2021 · Frontiers in Psychology
44. The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures
    Towhidul Islam, Nigel Meade, Richard T. Carson, Jordan J. Louviere, Juan Wang · 2022 · Journal of Business Research
45. Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data
    Kamila Dilmurat, Vasit Sagan, Maitiniyazi Maimaitijiang, Stephen Patrick Moose, Felix Fritschi · 2022 · Remote Sensing
46. An exploration of the gap between highest and lowest ability readers across 20 countries
    Fabio Alivernini · 2013 · Educational Studies
47. Proteome sequence features carry signatures of the environmental niche of prokaryotes
    Zlatko Smole, Nela Nikolić, Fran Supek, Tomislav Šmuc, Ivo F. Sbalzarini, Anita Kriško · 2011 · BMC Evolutionary Biology
48. An Empirical Comparison of Tree‐Based Methods for Propensity Score Estimation
    Stephanie Watkins, Michele L. Jonsson‐Funk, M. Alan Brookhart, Steven A. Rosenberg, Thomas Michael O’Shea, Julie L. Daniels · 2013 · Health Services Research
49. Young children fail to fully generalize a novel argument structure construction when exposed to the same input as older learners
    Jeremy K. Boyd, Adele Eva Goldberg · 2011 · Journal of Child Language
50. Iron Supplementation and Altitude: Decision Making Using a Regression Tree.
    Laura A. Garvican‐Lewis, Andrew David Govus, Peter Peeling, Chris R. Abbiss, Christopher J. Gore · 2016 · PubMed Central
51. Optimizing Prediction Using Bayesian Model Averaging: Examples Using Large-Scale Educational Assessments
    David E. Kaplan, Chansoon Lee · 2018 · Evaluation Review
52. Differential diagnosis of jaw pain using informatics technology
    Y. Nam, Hong‐Gee Kim, Hong‐Seop Kho · 2018 · Journal of Oral Rehabilitation
53. (Neuro-)Cognitive poetics and computational stylistics
    Arthur M. Jacobs · 2018 · Scientific Study of Literature
54. Examining the use of decision trees in population health surveillance research: an application to youth mental health survey data in the COMPASS study
    Kate Battista, Liqun Diao, Karen Allison Patte, Joel A. Dubin, Scott Thomas Leatherdale · 2023 · Health Promotion and Chronic Disease Prevention in Canada
55. Comparative study of machine learning and statistical survival models for enhancing cervical cancer prognosis and risk factor assessment using SEER data
    Anjana Eledath Kolasseri, B Venkataramana · 2024 · Scientific Reports
56. Rare Disease Registries Classification and Characterization: A Data Mining Approach
    Michele Cosimo Santoro, Alessio Coi, M. Lipucci Di Paola, Anna Maria Bianucci, Sabina Gainotti, Emanuela Mollo, Domenica Taruscio, Luciano Vittozzi, Fabrizio Bianchi · 2015 · Public Health Genomics
57. Forecasting Low-Visibility Procedure States with Tree-Based Statistical Methods
    Sebastian J. Dietz, Philipp Kneringer, Georg Johann Mayr, Achim Zeileis · 2018 · Pure and Applied Geophysics
58. Prediction of soil organic matter using an inexpensive colour sensor in arid and semiarid areas of Iran
    Maryam Raeesi, Ali Asghar Zolfaghari, Mohammad Reza Yazdani, Manouchehr Gorji, Marmar Sabetizade · 2019 · Soil Research
59. In silico prediction of drug-induced developmental toxicity by using machine learning approaches
    Hui Zhang, Jun Wei Mao, Hua-Zhao Qi, Lan Ding · 2019 · Molecular Diversity
60. Gradient boosting machine learning to improve satellite-derived column water vapor measurement error
    Allan C. Just, Yang Liu, Meytar Sorek‐Hamer, Johnathan Rush, Michael Dorman, Robert B. Chatfield, Yujie Wang A, Alexei Lyapustin, Itai Kloog · 2020 · Atmospheric measurement techniques
61. A Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure
    Casimiro Aday Curbelo Montañez, William Hurst · 2020 · IEEE Access
62. Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark
    Tammy Jiang, Anthony Joseph Rosellini, Erzsébet Horváth–Puhó, Brian R. Shiner, Amy E. Street, Timothy Lee Lash, Henrik Toft Sørensen, Jaimie L. Gradus · 2021 · The British Journal of Psychiatry
63. Inheritances and wealth inequality: a machine learning approach
    Pedro Salas-Rojo, Juan Gabriel Rodríguez · 2022 · The Journal of Economic Inequality
64. Sustainable response system building against insider-led cyber frauds in banking sector: a machine learning approach
    Neha Chhabra Roy, Sreeleakha Prabhakaran · 2022 · Journal of Financial Crime
65. Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention
    Neha Chhabra Roy, Sreeleakha Prabhakaran · 2022 · Aslib Journal of Information Management
66. Heterogeneous Effects of Housing Vouchers on the Mental Health of US Adolescents
    Quynh C. Nguyen, David H. Rehkopf, Nicole M. Schmidt, Theresa L. Osypuk · 2016 · American Journal of Public Health
67. Detection of Independent Associations of Plasma Lipidomic Parameters with Insulin Sensitivity Indices Using Data Mining Methodology
    Steffi Kopprasch, Srirangan Dheban, Kai Schuhmann, Aimin Xu, Klaus‐Martin Schulte, Charmaine J. Simeonovic, Peter E. H. Schwarz, Stefan Richard Bornstein, Andrej Shevchenko, Juergen Graessler · 2016 · PLoS ONE
68. Improving detection of short-duration fishing behaviour in vessel tracks by feature engineering of training data
    Shay O’Farrell, James N. Sanchirico, Iliana Chollett, Marcy L. Cockrell, Steven A. Murawski, Jordan T. Watson, Alan C. Haynie, Andrew J. Strelcheck, Larry Perruso · 2016 · ICES Journal of Marine Science
69. Receptive Vocabulary of Children With Bilateral Cochlear Implants From 3 to 16 Years of Age
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70. Mindful in a random forest: Assessing the validity of mindfulness items using random forests methods
    Sebastian Sauer, Jana Lemke, Winfried Zinn, Ricardo Buettner, Niko Kohls · 2014 · Personality and Individual Differences
71. Machine Learning Techniques applied in risk assessment related to food safety
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72. The Repeated Recording Illusion
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73. Perceptions of climate change across the Canadian forest sector: The key factors of institutional and geographical environment
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74. Application of Data Analytics Techniques to Establish Geometallurgical Relationships to Bond Work Index at the Paracutu Mine, Minas Gerais, Brazil
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75. Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2emission in Vietnam, Cambodia and Laos
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76. A Structure Data-Driven Framework for Virtual Metrology Modeling
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77. From categories to gradience: Auto-coding sociophonetic variation with random forests
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78. The role of warm, dry summers and variation in snowpack on phytoplankton dynamics in mountain lakes
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79. Hippocampal and Parahippocampal Gray Matter Structural Integrity Assessed by Multimodal Imaging Is Associated with Episodic Memory in Old Age
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80. Gully erosion and climate induced chemical weathering for vulnerability assessment in sub-tropical environment
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81. Pathways to Early Coital Debut for Adolescent Girls: A Recursive Partitioning Analysis
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82. Item-focussed Trees for the Identification of Items in Differential Item Functioning
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83. Multiclass brain Glioma tumor classification using block-based 3D Wavelet features of MR images
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84. Soil Organic Carbon Baselines for Land Degradation Neutrality: Map Accuracy and Cost Tradeoffs with Respect to Complexity in Otjozondjupa, Namibia
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85. Searching for Viking Age Fortresses with Automatic Landscape Classification and Feature Detection
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86. Biophysical and socioeconomic factors influencing soil carbon stocks: a global assessment
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87. Development of Interpretable Machine Learning Models to Predict in-Hospital Prognosis of Acute Heart Failure Patients
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88. The impact of verb form, sentence position, home language, and second language proficiency on subject–verb agreement in child second language Dutch
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89. A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models
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90. Demographic predictors of active tuberculosis in people migrating to British Columbia, Canada: a retrospective cohort study
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91. Sexual Violence against Women in Germany: Prevalence and Risk Markers
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92. Estimating population average causal effects in the presence of non-overlap: The effect of natural gas compressor station exposure on cancer mortality
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93. How do people understand convenience-of-living in cities? A multiscale geographic investigation in Beijing
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94. Interactions between different eating patterns on recurrent binge‐eating behavior: A machine learning approach
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95. Recent Trends in Drug Design and Discovery
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96. Combined influence of TAS2R38 genotype and PROP phenotype on the intensity of basic tastes, astringency and pungency in the Italian taste project
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97. Parsimonious statistical learning models for low-flow estimation
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98. Spatial analysis of synergies and trade-offs between the Sustainable Development Goals (SDGs) in Africa
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99. Identifying the optimal heterogeneous ensemble learning model for building energy prediction using the exhaustive search method
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100. A Hybrid Approach at Emotional State Detection: Merging Theoretical Models of Emotion with Data-Driven Statistical Classifiers
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