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Year of publication
Subject
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Artificial intelligence 5 AutoML 5 Künstliche Intelligenz 5 Forecast 3 Forecasting model 3 Prognose 3 Prognoseverfahren 3 ANN 2 Automated machine learning 2 Automl 2 CNN 2 Hyperparameter optimization 2 Mathematical programming 2 Mathematische Optimierung 2 Model selection 2 Multi-objective optimization 2 R-NSGA-II 2 RNN 2 containership 2 lashing force 2 multimodal deep learning 2 stowage planning 2 AI education 1 Aktienindex 1 Algorithm 1 Algorithmus 1 AutoML (H2O) 1 Automation 1 Automatisierung 1 Big Data 1 Big data 1 Börsenkurs 1 Data Mining 1 Data mining 1 Energy and financial markets 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Explainable AI 1 Financial analysis 1 Financial market 1
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Online availability
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Free 7 Undetermined 2 CC license 1
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7 Article 2
Language
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English 9
Author
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Castaño, Fernando 2 Cruz, Yarens J. 2 Haber, Rodolfo E. 2 Lee, Chaemin 2 Lee, Mun Keong 2 Rivas, Marcelino 2 Shin, Jae Young 2 Villalonga, Alberto 2 Bai, Yunfei 1 Belguith, Rihab 1 Cai, Charlie X. 1 Dong, Panyi 1 Kita, Eisuke 1 Kumar, Ajit 1 Makino, Hiroya 1 Quan, Zhiyu 1 Saraswat, Renu 1
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Published in...
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Logistics 2 Insurance : mathematics and economics 1 International Journal of Energy Economics and Policy : IJEEP 1 Journal of forecasting 1 Operations Research Perspectives 1 Operations research perspectives 1 Quantitative finance 1 The review of socionetwork strategies 1
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Source
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ECONIS (ZBW) 7 EconStor 2
Showing 1 - 9 of 9
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From data to decision : predictive modeling of oil prices using AutoML and SHAP analysis
Belguith, Rihab - In: International Journal of Energy Economics and Policy : IJEEP 16 (2026) 2, pp. 809-820
Persistent link: https://www.econbiz.de/10015620429
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Automated machine learning in insurance
Dong, Panyi; Quan, Zhiyu - In: Insurance : mathematics and economics 120 (2025), pp. 17-41
Persistent link: https://www.econbiz.de/10015431878
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Predicting VIX with adaptive machine learning
Bai, Yunfei; Cai, Charlie X. - In: Quantitative finance 24 (2024) 12, pp. 1857-1873
Persistent link: https://www.econbiz.de/10015196976
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Automated machine learning methodology for optimizing production processes in small and medium-sized enterprises
Cruz, Yarens J.; Villalonga, Alberto; Castaño, Fernando; … - In: Operations research perspectives 12 (2024), pp. 1-10
Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for optimizing production processes. However, in...
Persistent link: https://www.econbiz.de/10015055720
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Stock price forecasting with integration of sectoral behavior : a deep auto-optimized multimodal framework
Saraswat, Renu; Kumar, Ajit - In: Journal of forecasting 44 (2025) 5, pp. 1767-1784
Persistent link: https://www.econbiz.de/10015464725
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Automated machine learning methodology for optimizing production processes in small and medium-sized enterprises
Cruz, Yarens J.; Villalonga, Alberto; Castaño, Fernando; … - In: Operations Research Perspectives 12 (2024), pp. 1-10
Machine learning can be effectively used to generate models capable of representing the dynamic of production processes of small and medium-sized enterprises. These models enable the estimation of key performance indicators, and are often used for optimizing production processes. However, in...
Persistent link: https://www.econbiz.de/10015455378
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Lashing force prediction model with multimodal deep learning and AutoML for stowage planning automation in containerships
Lee, Chaemin; Lee, Mun Keong; Shin, Jae Young - In: Logistics 5 (2021) 1/1, pp. 1-15
the ANN, CNN and RNN, and AutoML approach is proposed for the machine learning model. The trained model is able to predict …
Persistent link: https://www.econbiz.de/10012426137
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Application of a stochastic schemata exploiter for multi-objective hyper-parameter optimization of machine learning
Makino, Hiroya; Kita, Eisuke - In: The review of socionetwork strategies 17 (2023) 2, pp. 179-213
Persistent link: https://www.econbiz.de/10014425714
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Cover Image
Lashing force prediction model with multimodal deep learning and AutoML for stowage planning automation in containerships
Lee, Chaemin; Lee, Mun Keong; Shin, Jae Young - In: Logistics 5 (2021) 1, pp. 1-15
the ANN, CNN and RNN, and AutoML approach is proposed for the machine learning model. The trained model is able to predict …
Persistent link: https://www.econbiz.de/10015194693
Saved in:
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