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  • Search: subject:"Cost sensitive learning"
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Year of publication
Subject
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cost-sensitive learning 10 Cost-sensitive learning 9 Theorie 8 Theory 8 Learning process 7 Lernprozess 7 Credit rating 6 Forecasting model 6 Kreditwürdigkeit 6 Prognoseverfahren 6 Artificial intelligence 5 Künstliche Intelligenz 5 Credit risk 4 Kreditrisiko 4 Machine learning 4 Credit scoring 3 Imbalanced data 3 Betrug 2 Data Mining 2 Data mining 2 Fraud 2 Gesundheitsversorgung 2 Health care 2 Insolvency 2 Insolvenz 2 Lot release 2 Management information system 2 Management-Informationssystem 2 Mustererkennung 2 Pattern recognition 2 Quality 4.0 2 Threshold-moving 2 active learning 2 cost sensitive learning 2 data mining 2 decision trees 2 healthcare 2 imbalanced data 2 machine learning 2 AdaBoost 1
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Online availability
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Undetermined 14 Free 8 CC license 2
Type of publication
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Article 20 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 15 Aufsatz in Zeitschrift 15 Arbeitspapier 1 Aufsatz im Buch 1 Book section 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
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Language
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English 20 Undetermined 3
Author
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Lobo, Armindo 2 Novais, Paulo 2 Provost, Foster 2 Saar-Tsechansky, Maytal 2 Sampaio, Paulo 2 Abrahams, Alan 1 Andrée, Bo Pieter Johannes 1 Ballegeer, Matteo 1 Banulescu-Radu, Denisa 1 Barnett, Christine L. 1 Benoit, Dries F. 1 Bogaert, Matthias 1 Boucher, Jean-Philippe 1 CHEN, Yen-Liang 1 Cakir, Murat 1 Cao, Jie 1 Chamorro, Andres 1 Chevallier, Julien 1 Coenen, Lize 1 Coussement, Kristof 1 De Bock, Koen W. 1 Denton, Brian T. 1 El Amine Bechar, Mohammed 1 El Habib Daho, Mostafa 1 Fang, Xiao 1 Feuz, Kyle 1 Feuz, Ryan 1 Gao, Yuanyuan 1 Gong, Mingxing 1 Guns, Tias 1 Hu, Paul Jen-Hwa 1 Huang, Lukui 1 Johnson, Myriah 1 Kou, Gang 1 Kougblenou, Yannick 1 Kraay, Aart 1 Lessmann, Stefan 1 Lu, Hongke 1 Melville, Prem 1 Merdan, Selin 1
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Institution
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Krannert School of Management, Purdue University 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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European journal of operational research : EJOR 3 Journal of the Operational Research Society 2 ASTIN bulletin : the journal of the International Actuarial Association 1 Handbook of Insurance : Volume I 1 Information technology and management 1 Intelligent systems in accounting, finance & management 1 International journal of computational economics and econometrics : IJCEE 1 Journal of agricultural and resource economics : JARE ; the journal of the Western Agricultural Economics Association 1 Journal of forecasting 1 MPRA Paper 1 Operations research 1 Policy research working paper : WPS 1 Purdue University Economics Working Papers 1 Statistical Applications in Genetics and Molecular Biology 1 The TQM Journal 1 The TQM journal : the international review of organizational improvement 1 The journal of operational risk 1 World Bank E-Library Archive 1
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Source
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ECONIS (ZBW) 17 RePEc 3 BASE 2 Other ZBW resources 1
Showing 1 - 10 of 23
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Enhancing Quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction
Lobo, Armindo; Sampaio, Paulo; Novais, Paulo - In: The TQM journal : the international review of … 36 (2024) 9, pp. 175-192
Persistent link: https://www.econbiz.de/10015417877
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Data science for insurance fraud detection : a review
Banulescu-Radu, Denisa; Kougblenou, Yannick - In: Handbook of Insurance : Volume I, (pp. 417-446). 2025
Persistent link: https://www.econbiz.de/10015185053
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Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring
Ballegeer, Matteo; Bogaert, Matthias; Benoit, Dries F. - In: European journal of operational research : EJOR 326 (2025) 3, pp. 630-640
Persistent link: https://www.econbiz.de/10015433473
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Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction
Lobo, Armindo; Sampaio, Paulo; Novais, Paulo - In: The TQM Journal 36 (2024) 9, pp. 175-192
Purpose This study proposes a machine learning framework to predict customer complaints from production line tests in an automotive company's lot-release process, enhancing Quality 4.0. It aims to design and implement the framework, compare different machine learning (ML) models and evaluate a...
Persistent link: https://www.econbiz.de/10015356729
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Inherently interpretable machine learning for credit scoring : optimal classification tree with hyperplane splits
Tu, Jiancheng; Wu, Zhibin - In: European journal of operational research : EJOR 322 (2025) 2, pp. 647-664
Persistent link: https://www.econbiz.de/10015412104
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A prescriptive analytics method for cost reduction in clinical decision making
Fang, Xiao; Gao, Yuanyuan; Hu, Paul Jen-Hwa - 2021
Persistent link: https://www.econbiz.de/10012814880
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An evolutionary cost-sensitive support vector machine for carbon price trend forecasting
Zhu, Bangzhu; Zhang, Jingyi; Wan, Chunzhuo; Chevallier, … - In: Journal of forecasting 42 (2023) 4, pp. 741-755
Persistent link: https://www.econbiz.de/10014292805
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Predicting food crises
Andrée, Bo Pieter Johannes; Chamorro, Andres; Kraay, Aart - 2020
Globally, more than 130 million people are estimated to be in food crisis. These humanitarian disasters are associated with severe impacts on livelihoods that can reverse years of development gains. The existing outlooks of crisis-affected populations rely on expert assessment of evidence and...
Persistent link: https://www.econbiz.de/10012388716
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Imbalanced data issues in machine learning classifiers : a case study
Gong, Mingxing - In: The journal of operational risk 17 (2022) 4, pp. 17-36
Persistent link: https://www.econbiz.de/10014367186
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Cost-sensitive learning for profit-driven credit scoring
Petrides, George; Moldovan, Darie; Coenen, Lize; Guns, Tias - In: Journal of the Operational Research Society 73 (2022) 2, pp. 338-350
Persistent link: https://www.econbiz.de/10013170138
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