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article pdf uploaded. | 11 October 2025 10:24 CEST | Version of Record | https://www.mdpi.com/1999-5903/17/10/467/pdf |
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article pdf uploaded. | 11 October 2025 10:24 CEST | Version of Record | https://www.mdpi.com/1999-5903/17/10/467/pdf |
Mavridou, E.; Vrochidou, E.; Selvesakis, M.; Papakostas, G.A. Beyond Accuracy: Benchmarking Machine Learning Models for Efficient and Sustainable SaaS Decision Support. Future Internet 2025, 17, 467. https://doi.org/10.3390/fi17100467
Mavridou E, Vrochidou E, Selvesakis M, Papakostas GA. Beyond Accuracy: Benchmarking Machine Learning Models for Efficient and Sustainable SaaS Decision Support. Future Internet. 2025; 17(10):467. https://doi.org/10.3390/fi17100467
Chicago/Turabian StyleMavridou, Efthimia, Eleni Vrochidou, Michail Selvesakis, and George A. Papakostas. 2025. "Beyond Accuracy: Benchmarking Machine Learning Models for Efficient and Sustainable SaaS Decision Support" Future Internet 17, no. 10: 467. https://doi.org/10.3390/fi17100467
APA StyleMavridou, E., Vrochidou, E., Selvesakis, M., & Papakostas, G. A. (2025). Beyond Accuracy: Benchmarking Machine Learning Models for Efficient and Sustainable SaaS Decision Support. Future Internet, 17(10), 467. https://doi.org/10.3390/fi17100467