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Explainability through uncertainty : trustworthy decision-making with neural networks

Thuy, Arthur; Benoit, Dries F. - In: European journal of operational research : EJOR 317 (2024) 2, pp. 330-340

Persistent link: https://www.econbiz.de/10014635795

Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods

Kosala, Raymond - In: International journal of business information systems : … 26 (2017) 2, pp. 139-150

Persistent link: https://www.econbiz.de/10011856393

Bayesian regularisation neural network based on artificial intelligence optimisation

Yan, Dingqi; Zhou, Qi; Wang, Jianzhou; Zhang, Na - In: International journal of production research 55 (2017) 7/8, pp. 2266-2287

Persistent link: https://www.econbiz.de/10011648545

Decision support for the automotive industry : forecasting residual values using artificial neural networks

Gleue, Christoph; Eilers, Dennis; Mettenheim, Hans-Jörg von - In: Business & information systems engineering : BISE ; the … 61 (2019) 4, pp. 385-397

Persistent link: https://www.econbiz.de/10012053009

Smart connected electronic gastroscope system for gastric cancer screening using multi-column convolutional neural networks

Wang, Hao; Ding, Shuai; Wu, Desheng Dash; Zhang, Youtao; … - In: International journal of production research 57 (2019) 21, pp. 6795-6806

Persistent link: https://www.econbiz.de/10012193763

Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario

Shahi, Shashi K.; Dia, Mohamed; Yan, Peizhi; Choudhury, … - In: Journal of modelling in management 17 (2022) 2, pp. 788-811

Persistent link: https://www.econbiz.de/10013362644

Is artificial intelligence really more accurate in predicting bankruptcy?

Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...

Persistent link: https://www.econbiz.de/10014502270

Process mining through artificial neural networks and support vector machines : a systematic literature review

Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415

Persistent link: https://www.econbiz.de/10011487995

Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies

Sokolovskyy, Yaroslav; Manokhin, Denys; Kaplunsky, Yaroslav - In: Technology audit and production reserves 5 (2021) 2/61, pp. 21-25

Persistent link: https://www.econbiz.de/10013167345

Machine learning and deep learning

Janiesch, Christian; Zschech, Patrick; Heinrich, Kai - In: Electronic markets : EM ; the international journal of … 31 (2021) 3, pp. 685-695

Persistent link: https://www.econbiz.de/10012666765

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