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  • Search: subject:"machine learning models"
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Year of publication
Subject
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Artificial intelligence 40 Künstliche Intelligenz 40 Forecasting model 21 Machine learning models 21 Prognoseverfahren 21 machine learning models 18 Theorie 13 Theory 13 Corporate Social Responsibility 6 Corporate social responsibility 6 Portfolio selection 5 Portfolio-Management 5 Algorithm 4 Algorithmus 4 COVID-19 4 Coronavirus 4 Insolvency 4 Insolvenz 4 Nachhaltige Kapitalanlage 4 Sustainable investment 4 Börsenkurs 3 CAPM 3 Innovation 3 KMU 3 Neural networks 3 Neuronale Netze 3 SME 3 Share price 3 Time series analysis 3 USA 3 United States 3 Zeitreihenanalyse 3 bankruptcy prediction 3 Aktienmarkt 2 Anleihe 2 Anomalies 2 Asset pricing models 2 Audio features 2 Bitcoin 2 Bond 2
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Online availability
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Free 30 Undetermined 22 CC license 13
Type of publication
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Article 49 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 37 Aufsatz in Zeitschrift 37 Article 7 Aufsatz im Buch 3 Book section 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 research-article 1
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Language
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English 51 Undetermined 1
Author
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Raza, Hassan 3 Ahabchane, Chahid 2 Aktaş, Rafet 2 Amendola, Alessandra 2 Bernardelli, Adelaide Emma 2 Cenesizoglu, Tolga 2 Chang, Kuo-Chu 2 Costantiello, Alberto 2 Drago, Carlo 2 Ergenç, Cansu 2 Giudici, Paolo 2 Grass, Gunnar 2 Hoegner, Christopher 2 Jena, Sanjay Dominik 2 Ji, Ran 2 Jiang, Zhenlong 2 Kaplan, Muhittin 2 Khan, Asad ul Islam 2 Kocaarslan, Baris 2 Latif, Muhammad Nouman 2 Leogrande, Angelo 2 Liu, Raymond 2 Savorgnan, Marco 2 Xie, Guang-Xin 2 Yu, Shan 2 Zhang, Jurui 2 Zurawicki, Leon 2 Abulibdeh, Ammar 1 Agarwal, Himanshu 1 Agarwal, Sakshi 1 Ahmad Husni Hamzah 1 Ahmad, Ishtiaq 1 Ahmed, Nesreen 1 Ali, Sajid 1 Ampountolas, Apostolos 1 Atiya, Amir 1 Azevedo, Vitor 1 Barskyi, Serhii 1 Basniwal, Rupesh Kumar 1 Bera, Sasadhar 1
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Published in...
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Energy strategy reviews 2 Finance research letters 2 International review of economics & finance : IREF 2 Pakistan Journal of Commerce and Social Sciences (PJCSS) 2 Pakistan journal of commerce and social sciences 2 Technological forecasting & social change : an international journal 2 African journal of science, technology, innovation and development : AJSTID 1 CIRRELT 1 Cambridge journal of regions, economy and society 1 Computational economics 1 Econometric Reviews 1 Economies 1 Economies : open access journal 1 Empirical economics : a quarterly journal of the Institute for Advanced Studies 1 Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy 1 Entrepreneurship, Innovation, and Technology : A Holistic Analysis of Growth Factors 1 Environmental, social, and governance perspectives on economic development in Asia ; part A 1 European financial management : the journal of the European Financial Management Association 1 European journal of operational research : EJOR 1 Financial Internet Quarterly 1 Financial internet quarterly 1 Foundations of Management : the journal of Warsaw University of Technology 1 International journal of production research 1 International journal of services and standards : IJSS 1 Journal of Risk and Financial Management 1 Journal of forecasting 1 Journal of revenue and pricing management 1 Journal of risk and financial management : JRFM 1 Marketing Intelligence & Planning 1 Marketing intelligence & planning 1 Modeling Earth Systems and Environment 1 Pacific-Basin finance journal 1 Research in international business and finance 1 Review of Quantitative Finance and Accounting 1 Review of quantitative finance and accounting 1 Risk assessment and financial regulation in emerging markets' banking : trends and prospects 1 Risks : open access journal 1 Russian journal of economics 1 Supply chain analytics 1 Technology audit and production reserves 1
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Source
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ECONIS (ZBW) 43 EconStor 7 RePEc 1 Other ZBW resources 1
Showing 11 - 20 of 52
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Unsupervised machine learning based anomaly detection in high frequency data : Evidence from Cryptocurrency Market
Latif, Muhammad Nouman; Kaplan, Muhittin; Khan, Asad ul … - In: Pakistan journal of commerce and social sciences 19 (2025) 3, pp. 407-440
cryptocurrency markets using Jupyter Notebook. We compare four advanced unsupervised machine learning models, i.e, Density …
Persistent link: https://www.econbiz.de/10015475249
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Measuring inequality in the adoption of ESG scores by small and medium enterprises
Amendola, Alessandra; Bernardelli, Adelaide Emma; … - In: International review of economics & finance : IREF 103 (2025), pp. 1-19
Persistent link: https://www.econbiz.de/10015515268
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An analytical review of predictive methods for delivery delays in supply chains
Müller, Norman; Burggräf, Peter; Steinberg, Fabian; … - In: Supply chain analytics 11 (2025), pp. 1-22
Predicting delivery delays is crucial for companies, especially in times of increasing global uncertainty and vulnerable supply chains. Machine learning (ML) offers significant potential to improve the forecast performance and quality of delivery delay prediction. Although various prediction...
Persistent link: https://www.econbiz.de/10015519713
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A machine learning approach to predict bankruptcy in Chinese companies with ESG integration
Raza, Hassan - In: Pakistan Journal of Commerce and Social Sciences (PJCSS) 18 (2024) 2, pp. 335-357
integrating various tools such as classical statistics methods and state-of-the-art new machine learning models. For a comparative … analysis seven machine learning models have been employed, such as Logistic Regression, Decision Trees, Support Vector Machines …
Persistent link: https://www.econbiz.de/10015048698
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Machine learning algorithms for predicting unemployment duration in Russia
Maigur, Anna A. - In: Russian journal of economics 10 (2024) 4, pp. 365-384
Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in 2017-2021. The dataset includes...
Persistent link: https://www.econbiz.de/10015396287
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Forecasting bank failure in the U.S. : a cost-sensitive approach
Ekinci, Aykut; Sen, Safa - In: Computational economics 64 (2024) 6, pp. 3161-3179
Persistent link: https://www.econbiz.de/10015144192
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Reducing transaction costs using intraday forecasts of limit order book slopes
Ahabchane, Chahid; Cenesizoglu, Tolga; Grass, Gunnar; … - In: Journal of forecasting 43 (2024) 8, pp. 2982-3008
Persistent link: https://www.econbiz.de/10015110592
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Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption
Zaidan, Esmat; Abulibdeh, Ammar; Jabbar, Rateb; Onat, … - In: Energy strategy reviews 52 (2024), pp. 1-22
CF model predictions by employing three distinct machine-learning models. Spatial analyses were conducted to identify …
Persistent link: https://www.econbiz.de/10014583312
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A machine learning approach to predict bankruptcy in Chinese companies with ESG integration
Mehwish Kaleem; Hashim Jusoh; Raza, Hassan; Misbah Sadiq; … - In: Pakistan journal of commerce and social sciences 18 (2024) 2, pp. 335-357
integrating various tools such as classical statistics methods and state-of-the-art new machine learning models. For a comparative … analysis seven machine learning models have been employed, such as Logistic Regression, Decision Trees, Support Vector Machines …
Persistent link: https://www.econbiz.de/10014634902
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Early warning system for debt group migration : the case of one commercial Bank in Vietnam
Quoc Hung Nguyen; Hoang Viet Trinh; Truong Viet Phuong; … - In: Foundations of Management : the journal of Warsaw … 16 (2024) 1, pp. 195-216
This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and …
Persistent link: https://www.econbiz.de/10015073378
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