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"Fortune favors the prepared mind" : learning knowledge without experience is not so smart

Cooke, Philip - In: Making sense of the learning turn : why and in what …, (pp. 292-307). 2024

Persistent link: https://www.econbiz.de/10015084703

When the machine meets the expert : an ethnography of developing AI for hiring

Broek, Elmira van den; Sergeeva, Anastasia; Huysman, Marleen - In: MIS quarterly 45 (2021) 3, pp. 1557-1580

Persistent link: https://www.econbiz.de/10012631445

When one teaches, two learn : the bidirectional learning process supervisor-PhD student

Boutros, Pierre; Pezzoni, Michele; Shibayama, Sotaro; … - 2024

Persistent link: https://www.econbiz.de/10015371422

Energy technological change and capacity under uncertainty in learning

Shittu, Ekundayo - In: IEEE transactions on engineering management : EM 61 (2014) 3, pp. 406-418

Persistent link: https://www.econbiz.de/10010401633

Embracing digitalization : student learning and new technologies

Crittenden, William F.; Biel, Isabella K.; Lovely, … - In: Journal of marketing education : JME 41 (2019) 1, pp. 5-14

Persistent link: https://www.econbiz.de/10012008057

A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images

Qadri, Azam Mehmood; Raza, Ali; Eid, Fatma; Abualigah, … - In: Decision analytics journal 9 (2023), pp. 1-11

learning techniques. Moreover, we proposed a novel NNR (NASNet Random forest) method for feature engineering. The proposed NNR … from these spatial features. The feature set obtained from the data extraction trains machine learning models. Our …

Persistent link: https://www.econbiz.de/10014533194

Learning how to do AI : managing organizational boundaries in an intergovernmental learning forum

Wilson, Christopher; Broomfield, Heather - In: Public management review 25 (2023) 10, pp. 1938-1957

Persistent link: https://www.econbiz.de/10014475981

A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling

Xie, Jiarui; Zhang, Chonghui; Sage, Manuel; Safdar, Mutahar - In: International journal of production research 62 (2024) 12, pp. 4181-4201

Persistent link: https://www.econbiz.de/10014547243

Explainable transfer learning for modeling and assessing risks in tunnel construction

Luo, Hanbin; Chen, Jialin; Love, Peter; Fang, Weili - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 8339-8355

Persistent link: https://www.econbiz.de/10015416316

Quantification of economic uncertainty : a deep learning application

Kima, Alisa; Gillmann, Niels - 2021

algorithm based on natural language processing and deep learning techniques for the quantification of economic policy …

Persistent link: https://www.econbiz.de/10013336249