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  • Search: subject:"Extreme Gradient Boosting"
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Year of publication
Subject
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Forecasting model 21 Prognoseverfahren 21 Artificial intelligence 15 Künstliche Intelligenz 15 Extreme gradient boosting 9 Machine learning 8 Insolvency 6 Insolvenz 6 Theorie 6 Theory 6 extreme gradient boosting 6 Extreme Gradient Boosting 5 Neural networks 5 Neuronale Netze 5 machine learning 5 Algorithm 3 Algorithmus 3 Industry 4.0 3 Mustererkennung 3 Pattern recognition 3 artificial intelligence 3 eXtreme Gradient Boosting (XGBoost) 3 high-tech companies 3 random forest 3 robotics 3 Bank failure 2 Bank failure prediction 2 Bank failure prevention 2 Bankinsolvenz 2 Beziehungsmarketing 2 Coronavirus 2 Credit rating 2 Croatia 2 Decomposition method 2 Dekompositionsverfahren 2 Early warning system 2 Emissions trading 2 Emissionshandel 2 Ensemble 2 Extreme gradient boosting tree 2
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Online availability
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Undetermined 19 Free 13 CC license 6
Type of publication
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Article 27 Book / Working Paper 5
Type of publication (narrower categories)
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Article in journal 24 Aufsatz in Zeitschrift 24 Working Paper 5 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article 2 research-article 1
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Language
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English 32
Author
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Carmona, Pedro 3 Grebenar, Tomislav 3 Hrbić, Rajka 3 Brédart, Xavier 2 Jiang, Ping 2 Kumar, Pradeep 2 Liu, Zhenkun 2 Momparler, Alexandre 2 Musa, Mohamed 2 Nicodemo, Catia 2 Niu, Xinsong 2 Oreffice, Sonia 2 Quintana-Domeque, Climent 2 Shetty, Shekar 2 Wan, Chunzhuo 2 Wang, Jianzhou 2 Wang, Ping 2 Zhang, Lifang 2 Zhu, Bangzhu 2 Abdelmoniem, Ahmed M. 1 Abedin, Mohammad Zoynul 1 Adland, Roar 1 Akyildirim, Erdinc 1 Alvarez González, Francisco 1 Bairagi, Anupam Kumar 1 Barth, Michael 1 Bellotti, Anthony Graham 1 Boulougouris, Evangelos 1 Cajias, Marcelo 1 Cepni, Oguzhan 1 Chevallier, Julien 1 Climent Diranzo, Francisco J. 1 Climent, Francisco 1 Clintworth, Mark 1 Corbet, Shaen 1 Cui, Tianxiang 1 De Bock, Koen W. 1 Ding, Shusheng 1 Du, Zhiyuan 1 Emrich, Eike 1
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Published in...
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Computational economics 2 Finance research letters 2 Journal of Risk and Financial Management 2 Journal of risk and financial management : JRFM 2 Academia : revista Latinoamericana de administración 1 Corporate governance : international journal of business in society 1 Decision analytics journal 1 Discussion paper series / IZA 1 Diskussionspapiere des Europäischen Instituts für Sozioökonomie e.V. 1 Energy economics 1 IZA Discussion Papers 1 International journal of contemporary hospitality management 1 International journal of production research 1 International review of economics & finance : IREF 1 International review of financial analysis 1 Journal of European Real Estate Research 1 Journal of business research : JBR 1 Journal of economy and technology 1 Journal of forecasting 1 Maritime economics & logistics 1 Maritime policy & management 1 Mokslo darbai / Vilniaus Universitetas 1 Risks : open access journal 1 Technological forecasting and social change : an international journal 1 The journal of real estate finance and economics 1 Transportation research / E : an international journal 1 Working paper / Department of Economics, Copenhagen Business School 1 Working papers / Croatian National Bank 1
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Source
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ECONIS (ZBW) 27 EconStor 4 Other ZBW resources 1
Showing 11 - 20 of 32
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Assessment of readiness of Croatian companies to ontroduce I4.0 technologies
Hrbić, Rajka; Grebenar, Tomislav - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-24
indicators of a sample of 58 identified I4.0 companies. We developed a machine-learning model by using the eXtreme Gradient … Boosting algorithm (XGBoost) for this purpose, an approach that has not been used in any similar research. This research shows …
Persistent link: https://www.econbiz.de/10014284413
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Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Liu, Zhenkun; Jiang, Ping; De Bock, Koen W.; Wang, Jianzhou - In: Technological forecasting and social change : an … 198 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015076450
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Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
Yoshida, Takahiro; Murakami, Daisuke; Seya, Hajime - In: The journal of real estate finance and economics 69 (2024) 1, pp. 1-28
Persistent link: https://www.econbiz.de/10015080932
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An analysis of annual reports from the sustainable development goals perspective
Hacıhasanoğlu, Erk; Ünlüsoy, Ömer Faruk; … - In: Corporate governance : international journal of … 24 (2024) 3, pp. 541-558
Persistent link: https://www.econbiz.de/10015052330
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Assessment of readiness of Croatian companies to introduce I4.0 technologies
Hrbić, Rajka; Grebenar, Tomislav - 2021
Persistent link: https://www.econbiz.de/10012792422
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Quantifying the drivers of residential housing demand – an interpretable machine learning approach
Cajias, Marcelo; Zeitler, Joseph-Alexander - In: Journal of European Real Estate Research 16 (2023) 2, pp. 172-199
. The authors apply state-of-the-art artificial intelligence, the eXtreme Gradient Boosting, to quantify factors that lead … as it considers standard regression models and an eXtreme Gradient Boosting (XGB or XGBoost) approach followed by a model …
Persistent link: https://www.econbiz.de/10014862744
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Second-hand vessel valuation : an extreme gradient boosting approach
Adland, Roar; Jia, Haiying; Harvei, Hans Christian Olsen; … - In: Maritime policy & management 50 (2023) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10013532134
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Do gas price and uncertainty indices forecast crude oil prices? : fresh evidence through XGBoost modeling
Tissaoui, Kais; Zaghdoudi, Taha; Hakimi, Abdelaziz; … - In: Computational economics 62 (2023) 2, pp. 663-687
Persistent link: https://www.econbiz.de/10014382756
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Integrating operational and human factors to predict daily productivity of warehouse employees using extreme gradient boosting
Falkenberg, Sven F.; Spinler, Stefan - In: International journal of production research 61 (2023) 24, pp. 8654-8673
: warehouse, operator, shift and product. We demonstrate that Extreme Gradient Boosting, using these variables may reduce the root … Moving Averages; EGB: Extreme Gradient Boosting; GB: Gradient Boosting; LSP: Logistics Service Provider; MAE: Mean Absolute …
Persistent link: https://www.econbiz.de/10014454501
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An explained extreme gradient boosting approach for identifying the time-varying determinants of sovereign risk
Giraldo, Carlos; Giraldo, Iader; Gómez González, … - In: Finance research letters 57 (2023), pp. 1-13
Persistent link: https://www.econbiz.de/10014526675
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