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Machine learning applications in activity-travel behaviour research : a review
Koushik, Anil; Manoj, M.; Nezamuddin, N. - In: Transport reviews : a transnational transdisciplinary … 40 (2020) 3, pp. 288-311
Persistent link: https://www.econbiz.de/10012198300
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A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21
machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision … exhaustively reviewed and researched in all aspects qualitatively and quantitatively, wherein the LSTM network and SVM algorithm …
Persistent link: https://www.econbiz.de/10013339256
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An investigation of the effect of variable reduction on classification accuracy rates of consumer loans
Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139
Persistent link: https://www.econbiz.de/10010231895
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A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
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Predicting oil prices : a comparative analysis of machine learning and image recognition algorithms for trend prediction
Göncü, Ahmet; Kuzubaş, Tolga U.; Saltoğlu, Burak - In: Finance research letters 67 (2024) 2, pp. 1-9
Persistent link: https://www.econbiz.de/10015062432
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Generating buy/sell signals for an equity share using machine learning
Erkartal, Bugra; Ozdamar, Linet - In: Eurasian journal of business and economics : EJBE 11 (2018) 22, pp. 83-103
Persistent link: https://www.econbiz.de/10011943584
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Analysis of machine learning methods in the task of searching duplicates in the software code
Kaliuzhna, Tetiana; Kubiuk, Yevhenii - In: Technology audit and production reserves 4 (2022) 2/66, pp. 6-13
Persistent link: https://www.econbiz.de/10013459320
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Applications of machine learning methods in traffic crash severity modelling : current status and future directions
Wen, Xiao; Xie, Yuanchang; Jiang, Liming; Pu, Ziyuan; … - In: Transport reviews : a transnational transdisciplinary … 41 (2021) 6, pp. 855-879
Persistent link: https://www.econbiz.de/10012652882
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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
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Machine-learning classifiers for imbalanced tornado data
Trafalis, Theodore B.; Adrianto, Indra; Richman, Michael B. - In: Computational Management Science : CMS 11 (2014) 4, pp. 403-418
Persistent link: https://www.econbiz.de/10010437151