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Predictive end-to-end enterprise process network monitoring
Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64
Persistent link: https://www.econbiz.de/10014228189
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Big Data Analytics to Automate Patent Disclosure of Artificial Intelligence’s Inventions
Valinasab, Omid - 2022
As defined, a patent is an exclusive right granted to an inventor in exchange for a full disclosure of the invention. Now that AI machines are able to invent arts and science, compliance with the current patenting requirements has become very challenging when it comes to AI inventions. Moreover,...
Persistent link: https://www.econbiz.de/10013291256
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Model Selection via Automated Machine Learning
Cheng, Yuhan; Zhou, Guofu; Zhu, Yingzi - 2023
Automated machine learning extends the search space to include hyperparameters and algorithm selection. We apply automated machine learning (AutoML) to cross sectional stock return prediction with factors. We formulate factor dimension reduction and hyperparameter tuning in conventional ML...
Persistent link: https://www.econbiz.de/10014346975
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Model Selection via Automated Machine Learning
Cheng, Yuhan; Zhou, Guofu; Zhu, Yingzi - 2023
Automated machine learning extends the search space to include hyperparameters and algorithm selection. We apply automated machine learning (AutoML) to cross sectional stock return prediction with factors. We formulate factor dimension reduction and hyperparameter tuning in conventional ML...
Persistent link: https://www.econbiz.de/10014353489
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Heterogeneous relationships between automation technologies and skilled labor : evidence from a firm survey
Morikawa, Masayuki - 2020
Persistent link: https://www.econbiz.de/10014309788
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Product lifecycle optimization by application of process mining
Meßner, Marco; Dirnberger, Johannes - In: Data science and innovation in supply chain management …, (pp. 295-315). 2020
Purpose: Active product life cycle management contributes to supply chain optimization. However, in nowadays industry the high number of variants and backward loops complicate tracing the entire product lifecycle in an ERP system. Consequently, product lifecycle and corresponding...
Persistent link: https://www.econbiz.de/10012388084
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Process mining contributions to discrete-event simulation modelling
Jadrić, Mario; Ninčević Pašalić, Ivana; … - In: Business systems research : a system view accross … 11 (2020) 2, pp. 51-72
simulation modelling have become an area of interest. Objectives: The objective of the paper was to demonstrate and assess the … role of process mining results as an input for discrete-event simulation modelling, using two different datasets, one of …-flows, and resources) of simulation modelling are discussed. Results: Apart from providing a rationale and the framework for …
Persistent link: https://www.econbiz.de/10012405639
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Innovation in banking : fusion of artificial intelligence and blockchain
Vedapradha. R; Ravi, Hariharan - In: Asia Pacific journal of innovation and entrepreneurship … 15 (2021) 1, pp. 51-61
Persistent link: https://www.econbiz.de/10012615874
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Intelligent Process Automation in Audit
Zhang, Chanyuan (Abigail) - 2019
Intelligent Process Automation (IPA) achieves flexible and intelligent automation by combining Robotic Process … Automation (RPA), Artificial Intelligence (AI), and other emerging technologies. This paper focuses on the utility of IPA for the …
Persistent link: https://www.econbiz.de/10012863552
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Robotic Process Automation (RPA) using a heuristic method and the effective resistance of a graph
Tremblay, Hugo; Séguin, Sara; Boily, Laurie-Ann; Du … - 2023
Persistent link: https://www.econbiz.de/10014252963