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Forecasting with Artificial Intelligence : Theory and Applications

Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.); … - 2023

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...

Persistent link: https://www.econbiz.de/10014369591

Big data management algorithms in artificial Internet of Things-based fintech

Andronie, Mihai; Iatagan, Mariana; Uță, Cristian; … - In: Oeconomia Copernicana 14 (2023) 3, pp. 769-793

Persistent link: https://www.econbiz.de/10014521032

Computational literature reviews : method, algorithms, and roadmap

Antons, David; Breidbach, Christoph F.; Joshi, Amol M.; … - In: Organizational research methods : ORM 26 (2023) 1, pp. 107-138

Persistent link: https://www.econbiz.de/10014245743

How machine learning can improve decisions and automate manual processes in freight forwarding

Palke, Ksenia; Lunderman, Spence - In: Journal of supply chain management, logistics and … 5 (2022/2023) 3, pp. 202-211

Persistent link: https://www.econbiz.de/10014313021

Predicting video views of web series based on comment sentiment analysis and improved stacking ensemble model

Mi, Chuanmin; Li, Mingzhu; Wulandari, Annisa Fitria - In: Electronic commerce research 24 (2024) 4, pp. 2637-2664

Persistent link: https://www.econbiz.de/10015196527

The Big Data Newsvendor : Practical Insights from Machine Learning

Ban, Gah‐Yi; Rudin, Cynthia - 2019

regularization, and an algorithm based on Kernel-weights Optimization (KO). The ERM approaches, equivalent to high …-dimensional quantile regression, can be solved by convex optimization problems and the KO approach by a sorting algorithm. We analytically … benchmark by 23% and 24% respectively in the out-of-sample cost, and (ii) the best KO algorithm is faster than the best ERM …

Persistent link: https://www.econbiz.de/10014138531

Predicting earnings management through machine learning ensemble classifiers

Hammami, Ahmad; Zadeh, Mohammad Hendijani - In: Journal of forecasting 41 (2022) 8, pp. 1639-1660

Persistent link: https://www.econbiz.de/10013465733

Improving imbalanced machine learning with neighborhood-informed synthetic sample placement

Nasir, Murtaza; Dag, Ali; Simsek, Serhat; Ivanov, Anton; … - In: Journal of management information systems : JMIS 39 (2022) 4, pp. 1116-1145

Persistent link: https://www.econbiz.de/10013490878

Adapting support vector optimisation algorithms to textual gender classification

Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488

Persistent link: https://www.econbiz.de/10015188211

A general view of big data and machine learning

Görçün, Özhan; Küçükönder, Hande - In: Logistics 4.0 and future of supply chains, (pp. 49-61). 2022

Persistent link: https://www.econbiz.de/10012820109