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Fifty Years of Classification and Regression Trees

Citations

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  1. Farkas, Sébastien & Lopez, Olivier & Thomas, Maud, 2021. "Cyber claim analysis using Generalized Pareto regression trees with applications to insurance," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 92-105.
  2. Jana Huchtkoetter & Marcel Alwin Tepe & Andreas Reinhardt, 2021. "The Impact of Ambient Sensing on the Recognition of Electrical Appliances," Energies, MDPI, vol. 14(1), pages 1-23, January.
  3. Shouye Cheng & Xin Yin & Feng Gao & Yucong Pan, 2024. "Surrounding Rock Squeezing Classification in Underground Engineering Using a Hybrid Paradigm of Generative Artificial Intelligence and Deep Ensemble Learning," Mathematics, MDPI, vol. 12(23), pages 1-18, December.
  4. Katelyn Battista & Karen A. Patte & Liqun Diao & Joel A. Dubin & Scott T. Leatherdale, 2022. "Using Decision Trees to Examine Environmental and Behavioural Factors Associated with Youth Anxiety, Depression, and Flourishing," IJERPH, MDPI, vol. 19(17), pages 1-16, August.
  5. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
  6. Jingfang Liu & Mengshi Shi & Huihong Jiang, 2022. "Detecting Suicidal Ideation in Social Media: An Ensemble Method Based on Feature Fusion," IJERPH, MDPI, vol. 19(13), pages 1-13, July.
  7. Linwei Hu & Jie Chen & Joel Vaughan & Soroush Aramideh & Hanyu Yang & Kelly Wang & Agus Sudjianto & Vijayan N. Nair, 2021. "Supervised Machine Learning Techniques: An Overview with Applications to Banking," International Statistical Review, International Statistical Institute, vol. 89(3), pages 573-604, December.
  8. Ioannis Papageorgiou & Ioannis Kontoyiannis, 2023. "The Bayesian Context Trees State Space Model for time series modelling and forecasting," Papers 2308.00913, arXiv.org, revised Oct 2023.
  9. Evan B Brooks & John W Coulston & Kurt H Riitters & David N Wear, 2020. "Using a hybrid demand-allocation algorithm to enable distributional analysis of land use change patterns," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-21, October.
  10. Debdatta Saha & T. M. Vasuprada, 2021. "Investigating Commercial Incentives for Innovation: An Application in Traditional Medicine," Studies in Microeconomics, , vol. 9(1), pages 66-91, June.
  11. Emilio Aguirre & Federico García-Suárez & Gabriela Sicilia, 2021. "Eficiencia técnica en la ganadería de carne bovina pastoril. Medición y exploración de sus determinantes en Uruguay," Documentos de Trabajo (working papers) 1321, Department of Economics - dECON.
  12. Xiaolin Yang & Yini Fan & Dawei Xia & Yukai Zou & Yuwen Deng, 2023. "Elderly Residents’ Uses of and Preferences for Community Outdoor Spaces during Heat Periods," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
  13. Andreas Dellnitz & Andreas Kleine & Madjid Tavana, 2024. "An integrated data envelopment analysis and regression tree method for new product price estimation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(4), pages 1189-1211, December.
  14. Renato Bruni & Gianpiero Bianchi, 2018. "Robustness Analysis of a Website Categorization Procedure based on Machine Learning," DIAG Technical Reports 2018-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  15. Olga Takacs & Janos Vincze, 2018. "The within-job gender pay gap in Hungary," CERS-IE WORKING PAPERS 1834, Institute of Economics, Centre for Economic and Regional Studies.
  16. Rafael Saltos-Rivas & Pavel Novoa-Hernández & Rocío Serrano Rodríguez, 2022. "How Reliable and Valid are the Evaluations of Digital Competence in Higher Education: A Systematic Mapping Study," SAGE Open, , vol. 12(1), pages 21582440211, January.
  17. James Rodway & Petr Musilek, 2017. "Harvesting-Aware Energy Management for Environmental Monitoring WSN," Energies, MDPI, vol. 10(5), pages 1-19, May.
  18. Suryo Adi Rakhmawan & M. Hafidz Omar & Muhammad Riaz & Nasir Abbas, 2023. "Hotelling T 2 Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision Tree," Mathematics, MDPI, vol. 11(3), pages 1-14, January.
  19. A. Poterie & J.-F. Dupuy & V. Monbet & L. Rouvière, 2019. "Classification tree algorithm for grouped variables," Computational Statistics, Springer, vol. 34(4), pages 1613-1648, December.
  20. Frankel, Matthew & Xing, Lu & Chewning, Connor & Sela, Lina, 2021. "Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings," Applied Energy, Elsevier, vol. 281(C).
  21. Ariana Chang & Tian‐Shyug Lee & Hsiu‐Mei Lee, 2024. "Applying sustainable development goals in financial forecasting using machine learning techniques," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 2277-2289, May.
  22. Miguel A. Vallejo & Laura Vallejo-Slocker & Martin Offenbaecher & Jameson K. Hirsch & Loren L. Toussaint & Niko Kohls & Fuschia Sirois & Javier Rivera, 2021. "Psychological Flexibility Is Key for Reducing the Severity and Impact of Fibromyalgia," IJERPH, MDPI, vol. 18(14), pages 1-11, July.
  23. Michael Puglia & Adam Tucker, 2020. "Machine Learning, the Treasury Yield Curve and Recession Forecasting," Finance and Economics Discussion Series 2020-038, Board of Governors of the Federal Reserve System (U.S.).
  24. Zhen Li & Jie Chen & Eric Laber & Fang Liu & Richard Baumgartner, 2023. "Optimal Treatment Regimes: A Review and Empirical Comparison," International Statistical Review, International Statistical Institute, vol. 91(3), pages 427-463, December.
  25. Kian Tehranian, 2023. "Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?," Papers 2308.16200, arXiv.org.
  26. Emilio Carrizosa & Cristina Molero-Río & Dolores Romero Morales, 2021. "Mathematical optimization in classification and regression trees," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 5-33, April.
  27. Dongil Kim & Seokho Kang, 2019. "Effect of Irrelevant Variables on Faulty Wafer Detection in Semiconductor Manufacturing," Energies, MDPI, vol. 12(13), pages 1-11, July.
  28. Osman, Ibrahim H. & Anouze, Abdel Latef & Irani, Zahir & Lee, Habin & Medeni, Tunç D. & Weerakkody, Vishanth, 2019. "A cognitive analytics management framework for the transformation of electronic government services from users’ perspective to create sustainable shared values," European Journal of Operational Research, Elsevier, vol. 278(2), pages 514-532.
  29. Christophe Dutang & Quentin Guibert, 2021. "An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests," Post-Print hal-03448250, HAL.
  30. Eduardo Rodríguez Sánchez & Eduardo Filemón Vázquez Santacruz & Humberto Cervantes Maceda, 2023. "Effort and Cost Estimation Using Decision Tree Techniques and Story Points in Agile Software Development," Mathematics, MDPI, vol. 11(6), pages 1-31, March.
  31. Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
  32. Quan Zhiyu & Valdez Emiliano A., 2018. "Predictive analytics of insurance claims using multivariate decision trees," Dependence Modeling, De Gruyter, vol. 6(1), pages 377-407, December.
  33. HOROBEȚ Alexandra & BULAI Vlad Cosmin, 2019. "Assessing the Local Developmental Impact of Hydrocarbon Exploitation in a Mature Region: A Random Forest Approach," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 02, June.
  34. Grzegorz Wałęga & Agnieszka Wałęga, 2021. "Over-indebted Households in Poland: Classification Tree Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 561-584, January.
  35. Nan-Ting Liu & Feng-Chang Lin & Yu-Shan Shih, 2020. "Count regression trees," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(1), pages 5-27, March.
  36. Shicheng Hu & Danping Li & Junmin Jia & Yang Liu, 2021. "A Self-Learning Based Preference Model for Portfolio Optimization," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
  37. Lotfi Boudabsa & Damir Filipovi'c, 2022. "Ensemble learning for portfolio valuation and risk management," Papers 2204.05926, arXiv.org.
  38. Vincze, János & Takács, Olga, 2018. "Bérelőrejelzések - prediktorok és tanulságok [Wage forecasts predictors and lessons]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 592-618.
  39. Silva, Allyson & Roodbergen, Kees Jan & Coelho, Leandro C. & Darvish, Maryam, 2022. "Estimating optimal ABC zone sizes in manual warehouses," International Journal of Production Economics, Elsevier, vol. 252(C).
  40. Yan, Ran & Wang, Shuaian & Du, Yuquan, 2020. "Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
  41. Yu-Shan Shih & Kuang-Hsun Liu, 2019. "Regression trees for detecting preference patterns from rank data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(3), pages 683-702, September.
  42. Sinéad Keogh & Stephen O’Neill & Kieran Walsh, 2021. "Composite Measures for Assessing Multidimensional Social Exclusion in Later Life: Conceptual and Methodological Challenges," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 389-410, June.
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