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  • Search: subject:"gradient boosting machine"
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Year of publication
Subject
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Artificial intelligence 8 Künstliche Intelligenz 8 Forecasting model 5 Prognoseverfahren 5 machine learning 4 Credit rating 3 Credit risk 3 Kreditrisiko 3 Kreditwürdigkeit 3 Light Gradient Boosting Machine (LightGBM) 3 explainable artificial intelligence (XAI) 3 gradient boosting machine 3 Bildungsniveau 2 Data Mining 2 Data mining 2 Educational achievement 2 Gradient boosting machine 2 Insolvency 2 Insolvenz 2 Neural networks 2 Neuronale Netze 2 Pupils 2 Schüler 2 Students 2 Studierende 2 credit default prediction 2 credit risk modelling 2 random forest 2 ADASYN 1 Academic failure 1 Academic performance 1 Algorithm 1 Algorithmus 1 Artificial Neural Networks (ANN) 1 Bank lending 1 Basel Accord 1 Basler Akkord 1 Big Data 1 Big data 1 Bildungsverhalten 1
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Online availability
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Free 6 Undetermined 4 CC license 2
Type of publication
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Article 9 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 8 Aufsatz in Zeitschrift 8 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 10
Author
All
Melsom, Borger 3 Vennerød, Christian Bakke 3 Westgaard, Sjur 3 Lange, Petter Eilif de 2 Blasco-Blasco, Olga 1 Bogojeska, Jasmina 1 Borges, Vinicius 1 Carvalho, Rommel 1 Dhyani, Alisha 1 Erven, Gustavo van 1 Fernandes, Eduardo 1 Geertsema, Paul 1 Giurgiu, Ioana 1 Hjelkrem, Lars Ole 1 Holanda, Maristela 1 Jang, Hyuna 1 Liern-García, Marina 1 Lu, Helen 1 López-García, Aarón 1 Mahbub, Khaled 1 Moscatelli, Mirko 1 Narizzano, Simone 1 Nehme, Antonio 1 Noh, Hohsuk 1 Parada-Rico, Sandra E. 1 Parlapiano, Fabio 1 Stark, George 1 Victorino, Marcio 1 Viggiano, Gianluca 1 Wiesmann, Dorothea 1 Wilson, Alinta Ann 1 Yang, Cheol-Won 1 de Lange, Petter Eilif 1
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Published in...
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Asia-Pacific journal of financial studies 1 INFORMS journal on applied analytics 1 Journal of Risk and Financial Management 1 Journal of accounting research 1 Journal of business research : JBR 1 Journal of risk 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
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Source
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ECONIS (ZBW) 9 EconStor 1
Showing 1 - 10 of 10
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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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Forecasting Korean stock returns with machine learning
Noh, Hohsuk; Jang, Hyuna; Yang, Cheol-Won - In: Asia-Pacific journal of financial studies 52 (2023) 2, pp. 193-241
Persistent link: https://www.econbiz.de/10014315552
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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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Explainable artificial intelligence for credit scoring in banking
Melsom, Borger; Vennerød, Christian Bakke; Lange, … - In: Journal of risk 25 (2022) 2, pp. 1-25
Persistent link: https://www.econbiz.de/10014342455
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IBM predictive analytics reduces server downtime
Bogojeska, Jasmina; Giurgiu, Ioana; Stark, George; … - In: INFORMS journal on applied analytics 51 (2021) 1, pp. 63-75
Persistent link: https://www.econbiz.de/10012498809
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Educational data mining : predictive analysis of academic performance of public school students in the capital of Brazil
Fernandes, Eduardo; Holanda, Maristela; Victorino, Marcio; … - In: Journal of business research : JBR 94 (2019), pp. 335-343
Persistent link: https://www.econbiz.de/10011947437
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