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  • Search: subject:"Explainable Machine Learning"
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Year of publication
Subject
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Artificial intelligence 18 Künstliche Intelligenz 18 Explainable machine learning 8 explainable machine learning 8 Forecasting model 6 Prognoseverfahren 6 Theorie 5 Theory 5 Estimation 4 Schätzung 4 Credit risk 3 Kreditrisiko 3 Risikomanagement 3 Risk management 3 Algorithm 2 Algorithmus 2 Comprehensible artificial intelligence 2 Comprehensible machine learning 2 Credit rating 2 Explainable Machine Learning 2 Explainable artificial intelligence 2 Financial crisis 2 Finanzkrise 2 Insolvency 2 Insolvenz 2 Kreditwürdigkeit 2 Literature review 2 Neural networks 2 Neuronale Netze 2 Regression analysis 2 Regressionsanalyse 2 XAI 2 accountability gap 2 computer vision 2 customer profiling 2 non-life insurance 2 real estate 2 (Explainable) machine learning 1 AI transparency 1 Accounting 1
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Online availability
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Undetermined 11 Free 9 CC license 1
Type of publication
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Article 16 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 14 Aufsatz in Zeitschrift 14 Graue Literatur 4 Non-commercial literature 4 Arbeitspapier 3 Working Paper 3 Article 2 Aufsatzsammlung 1 Hochschulschrift 1
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Language
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English 20
Author
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Brasse, Julia 2 Broder, Hanna Rebecca 2 Förster, Maximilian 2 Gramegna, Alex 2 Guidici, Paolo 2 Klier, Mathias 2 Lindenthal, Thies 2 Nagl, Maximilian 2 Rösch, Daniel 2 Sigler, Irina 2 Wan, Wayne Xinwei 2 An, Na 1 Bastos, João A. 1 Bauer, Kevin 1 Biecek, Przemysław 1 Bücker, Michael 1 Cook, Samantha 1 Ernst, Jakob 1 Feindt, Michael 1 Fu, Jiayan 1 Gosiewska, Alicja 1 Hahn, Martin 1 Hinz, Oliver 1 Huang, Chenyu 1 Kar, Arpan Kumar 1 Kellner, Ralf 1 Kerzel, Ulrich 1 Kijewski, Mateusz 1 Konovalova, Iuliia 1 Li, Chengzhang 1 Lis, Szymon 1 Liu, Jiajia 1 Liu, Jiaming 1 Liu, Xiao 1 Matos, Sara M. 1 Ouyang, Peng 1 Packham, Natalie 1 Rabbouch, Hana 1 Rigana, Katerina 1 Saâdaoui, Foued 1
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Published in...
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Journal of forecasting 2 Benchmarking : an international journal 1 Electronic Markets 1 Electronic markets : EM ; the international journal of electronic commerce and business media 1 Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy 1 European journal of operational research : EJOR 1 International review of financial analysis 1 Journal of banking & finance 1 Journal of the Operational Research Society 1 Operations research forum 1 Quantitative finance 1 Real estate economics 1 Risks 1 Risks : open access journal 1 SAFE working paper 1 Tourism Management Perspectives 1 Working paper series 1 Working papers 1
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Source
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ECONIS (ZBW) 18 EconStor 2
Showing 11 - 20 of 20
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Don't worry, be happy - but only seasonally
Kijewski, Mateusz; Lis, Szymon; Woźniak, Michał; … - 2021
Persistent link: https://www.econbiz.de/10012795181
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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Liu, Jiaming; Li, Chengzhang; Ouyang, Peng; Liu, Jiajia; … - In: Journal of forecasting 42 (2023) 5, pp. 1112-1137
Persistent link: https://www.econbiz.de/10014338816
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When to choose ranked area integrals versus integrated gradient for explainable artificial intelligence : a comparison of algorithms
Singh, Vinay; Konovalova, Iuliia; Kar, Arpan Kumar - In: Benchmarking : an international journal 30 (2023) 9, pp. 3067-3089
Persistent link: https://www.econbiz.de/10014502376
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A new way of measuring effects of financial crisis on contagion in currency markets
Rigana, Katerina; Wit, Ernst; Cook, Samantha - In: International review of financial analysis 90 (2023), pp. 1-15
Persistent link: https://www.econbiz.de/10014469207
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Why to buy insurance? An explainable artificial intelligence approach
Gramegna, Alex; Guidici, Paolo - In: Risks 8 (2020) 4, pp. 1-9
We propose an Explainable AI model that can be employed in order to explain why a customer buys or abandons a non-life insurance coverage. The method consists in applying similarity clustering to the Shapley values that were obtained from a highly accurate XGBoost predictive classification...
Persistent link: https://www.econbiz.de/10013200670
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Why to buy insurance? : An explainable artificial intelligence approach
Gramegna, Alex; Guidici, Paolo - In: Risks : open access journal 8 (2020) 4/137, pp. 1-9
We propose an Explainable AI model that can be employed in order to explain why a customer buys or abandons a non-life insurance coverage. The method consists in applying similarity clustering to the Shapley values that were obtained from a highly accurate XGBoost predictive classification...
Persistent link: https://www.econbiz.de/10012391784
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Transparency, auditability, and explainability of machine learning models in credit scoring
Bücker, Michael; Szepannek, Gero; Gosiewska, Alicja; … - In: Journal of the Operational Research Society 73 (2022) 1, pp. 70-90
Persistent link: https://www.econbiz.de/10012872886
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Explainable models of credit losses
Bastos, João A.; Matos, Sara M. - In: European journal of operational research : EJOR 301 (2022) 1, pp. 386-394
Persistent link: https://www.econbiz.de/10013207383
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Opening the black box : quantile neural networks for loss given default prediction
Kellner, Ralf; Nagl, Maximilian; Rösch, Daniel - In: Journal of banking & finance 134 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013400086
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Demand forecasting of individual probability density functions with machine learning
Wick, Felix; Kerzel, Ulrich; Hahn, Martin; Wolf, Moritz; … - In: Operations research forum 2 (2021) 3, pp. 1-39
Persistent link: https://www.econbiz.de/10012589930
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