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  • Search: subject:"Gradient Boosting Machine"
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Year of publication
Subject
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Artificial intelligence 5 Künstliche Intelligenz 5 Forecasting model 3 Prognoseverfahren 3 Credit rating 2 Credit risk 2 Insolvency 2 Insolvenz 2 Kreditrisiko 2 Kreditwürdigkeit 2 Light Gradient Boosting Machine (LightGBM) 2 credit default prediction 2 credit risk modelling 2 explainable artificial intelligence (XAI) 2 gradient boosting machine 2 machine learning 2 ADASYN 1 Academic failure 1 Artificial Neural Networks (ANN) 1 Bank lending 1 Basel Accord 1 Basler Akkord 1 Bildungsniveau 1 Educational achievement 1 Estimation theory 1 Financial analysis 1 Finanzanalyse 1 Firm valuation 1 GBM 1 Generalised Linear Model (GLM) 1 Gradient Boosting Machine 1 Gradient Boosting Machine (GBM) 1 Kreditgeschäft 1 Neural networks 1 Neuronale Netze 1 Pupils 1 Schätztheorie 1 Schüler 1 Student performance 1 Students 1
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Online availability
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Free 6 CC license 2
Type of publication
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Article 5 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 6
Author
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Melsom, Borger 2 Vennerød, Christian Bakke 2 Westgaard, Sjur 2 Blasco-Blasco, Olga 1 Dhyani, Alisha 1 Geertsema, Paul 1 Lange, Petter Eilif de 1 Liern-García, Marina 1 Lu, Helen 1 López-García, Aarón 1 Mahbub, Khaled 1 Moscatelli, Mirko 1 Narizzano, Simone 1 Nehme, Antonio 1 Parada-Rico, Sandra E. 1 Parlapiano, Fabio 1 Viggiano, Gianluca 1 Wilson, Alinta Ann 1 de Lange, Petter Eilif 1
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Published in...
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Journal of Risk and Financial Management 1 Journal of accounting research 1 Journal of risk and financial management : JRFM 1 Operations research perspectives 1 Risks : open access journal 1 Temi di discussione / Banca d'Italia 1
Source
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ECONIS (ZBW) 5 EconStor 1
Showing 1 - 6 of 6
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A comparison of generalised linear modelling with machine learning approaches for predicting loss cost in motor insurance
Wilson, Alinta Ann; Nehme, Antonio; Dhyani, Alisha; … - In: Risks : open access journal 12 (2024) 4, pp. 1-28
Linear Model (GLM), Gradient Boosting Machine (GBM), Artificial Neural Networks (ANN), and a unique hybrid model that …
Persistent link: https://www.econbiz.de/10014636529
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Early detection of students' failure using Machine Learning techniques
López-García, Aarón; Blasco-Blasco, Olga; … - In: Operations research perspectives 11 (2023), pp. 1-11
The educational system determines one of the significant strengths of an advanced society. A country with a lack of culture is less competitive due to the inequality suffered by its people. Institutions and organizations are putting their efforts into tackling that problem. Nevertheless, it is...
Persistent link: https://www.econbiz.de/10014448625
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Relative valuation with machine learning
Geertsema, Paul; Lu, Helen - In: Journal of accounting research 61 (2023) 1, pp. 329-376
Persistent link: https://www.econbiz.de/10014308321
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Explainable AI for credit assessment in banks
de Lange, Petter Eilif; Melsom, Borger; Vennerød, … - In: Journal of Risk and Financial Management 15 (2022) 12, pp. 1-23
Banks' credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured consumer loans provided by a Norwegian bank. We combined a LightGBM model...
Persistent link: https://www.econbiz.de/10014332712
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Cover Image
Explainable AI for credit assessment in banks
Lange, Petter Eilif de; Melsom, Borger; Vennerød, … - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-23
Banks’ credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured consumer loans provided by a Norwegian bank. We combined a LightGBM model...
Persistent link: https://www.econbiz.de/10014284417
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Corporate default forecasting with machine learning
Moscatelli, Mirko; Narizzano, Simone; Parlapiano, Fabio; … - 2019
Persistent link: https://www.econbiz.de/10012144526
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