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  • Search: subject:"ensemble models"
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Year of publication
Subject
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Forecasting model 12 Prognoseverfahren 12 Ensemble models 10 Artificial intelligence 9 Künstliche Intelligenz 9 Machine learning 6 Theorie 6 Theory 6 ensemble models 4 Data mining 3 Insolvency 3 Insolvenz 3 Learning process 3 Lernprozess 3 Risikomanagement 3 Risk management 3 Betrug 2 Comparative study 2 Data Mining 2 Deep learning 2 Ensemble Models 2 Financial statement fraud 2 Forecast 2 Fraud 2 Mortality 2 Neural networks 2 Neuronale Netze 2 Prognose 2 Simulation 2 Sterblichkeit 2 ARIMA 1 Accounting fraud 1 Algorithm 1 Algorithmic Investment Strategy 1 Algorithmus 1 Anlageverhalten 1 Anomaly detection 1 Bank Lending 1 Bank lending 1 Banking 1
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Online availability
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Undetermined 11 Free 7 CC license 3
Type of publication
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Article 17 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 13 Aufsatz in Zeitschrift 13 Aufsatz im Buch 2 Book section 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1 research-article 1
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Language
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English 17 Undetermined 1
Author
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Riskiyadi, Moh. 2 Aksoy, Sinan 1 Aktan, Bora 1 Arendt, Dustin 1 Ayton, Ellyn 1 Bimonte, Giovanna 1 Bose, Indranil 1 Breeden, Joseph L. 1 Cervellera, Cristiano 1 Chaudhary, Monica 1 Cottam, Joseph 1 Das, Sanjiv R. 1 Dhar, Suparna 1 Di Sciorio, Fabrizio 1 Dobrinov, Nikolay 1 Domenig, Thomas 1 Glenski, Maria 1 Ince, Huseyin 1 Jefferson, Brett 1 Jiménez Preciado, Ana Lorena 1 Kashif, Kamil 1 Kopciuszewski, Paweł 1 Mattera, Raffaele 1 Molero González, Laura 1 Narvekar, Aditya Prakash 1 Perone, Gaetano 1 Ptak-Chmielewska, Aneta 1 Qiao, Yang 1 Ramírez García, Abraham 1 Raza, Hussain 1 Ross, Greg 1 Rossi, Sebastiano 1 Russolillo, Maria 1 Saldanha, Emily 1 Sciro, Daniel 1 Shang, Han Lin 1 Shrivaram, Karthnik 1 Tiwari, Tanvi 1 Trinidad Segovia, Juan Evangelista 1 Vanini, Paolo 1
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Published in...
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Advances in Quantitative Methods for Economics and Business : A Tribute to José García Pérez 1 Asian Review of Accounting 1 Asian review of accounting 1 Computational & mathematical organization theory 1 Decisions in economics and finance : a journal of applied mathematics 1 EconoQuantum : Revista de Economía y Negocios 1 Econometrics : open access journal 1 European journal of operational research : EJOR 1 Financial innovation : FIN 1 Folia oeconomica Stetinensia : FOS 1 Information & management : the international journal of information systems applications 1 Journal of BRSA Banking and Financial Markets 1 Navigating AI in business : strategies and insights across disciplines 1 The Geneva papers on risk and insurance - issues and practice 1 The Journal of finance and data science : JFDS 1 The journal of credit risk : published quarterly by Incisive Media 1 The journal of risk model validation 1 Working papers 1
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Source
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ECONIS (ZBW) 16 RePEc 1 Other ZBW resources 1
Showing 1 - 10 of 18
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Forecasting of GDP growth in the South Caucasian countries using hybrid ensemble models
Perone, Gaetano; Zambrano-Monserrate, Manuel A. - In: Econometrics : open access journal 13 (2025) 3, pp. 1-23
This study aimed to forecast the gross domestic product (GDP) of the South Caucasian nations (Armenia, Azerbaijan, and Georgia) by scrutinizing the accuracy of various econometric methodologies. This topic is noteworthy considering the significant economic development exhibited by these...
Persistent link: https://www.econbiz.de/10015475547
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Mortality models ensemble via Shapley value
Bimonte, Giovanna; Russolillo, Maria; Shang, Han Lin; … - In: Decisions in economics and finance : a journal of … 48 (2025) 2, pp. 1131-1159
Persistent link: https://www.econbiz.de/10015593652
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LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
Kashif, Kamil; Ślepaczuk, Robert - 2024
Persistent link: https://www.econbiz.de/10014634690
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Online payment fraud : from anomaly detection to risk management
Vanini, Paolo; Rossi, Sebastiano; Zvizdic, Ermin; … - In: Financial innovation : FIN 9 (2023) 1, pp. 1-25
Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual's online bank account. Successfully preventing this requires the detection of as many fraudsters as possible, without producing too many false alarms. This is a challenge for machine learning...
Persistent link: https://www.econbiz.de/10014289065
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Improved estimation of implied volatility with stacking-blending ensemble model
Di Sciorio, Fabrizio; Mattera, Raffaele; Trinidad … - In: Advances in Quantitative Methods for Economics and …, (pp. 271-292). 2025
Persistent link: https://www.econbiz.de/10015464331
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Bankruptcy prediction : statistical models to deep learning models
Narvekar, Aditya Prakash; Chaudhary, Monica; Tiwari, Tanvi - In: Navigating AI in business : strategies and insights …, (pp. 193-215). 2025
Persistent link: https://www.econbiz.de/10015616522
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Detecting future financial statement fraud using a machine learning model in Indonesia : a comparative study
Riskiyadi, Moh. - In: Asian review of accounting 32 (2024) 3, pp. 394-422
Persistent link: https://www.econbiz.de/10015197129
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Machine learning in long-term mortality forecasting
Qiao, Yang; Wang, Chou-Wen; Zhu, Wenjun - In: The Geneva papers on risk and insurance - issues and … 49 (2024) 2, pp. 340-362
Persistent link: https://www.econbiz.de/10014583165
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An ensemble deep learning model for fast classification of Twitter spam
Dhar, Suparna; Bose, Indranil - In: Information & management : the international journal of … 61 (2024) 8, pp. 1-21
Persistent link: https://www.econbiz.de/10015432450
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Detecting future financial statement fraud using a machine learning model in Indonesia: a comparative study
Riskiyadi, Moh. - In: Asian Review of Accounting 32 (2024) 3, pp. 394-422
Purpose This study aims to compare machine learning models, datasets and splitting training-testing using data mining methods to detect financial statement fraud. Design/methodology/approach This study uses a quantitative approach from secondary data on the financial reports of companies listed...
Persistent link: https://www.econbiz.de/10015341004
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