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What does it take to win or lose a soccer game? : A machine learning approach to understand the impact of game and team statistics
Bai, Lu; Gedik, Ridvan; Egilmez, Gokhan - In: Journal of the Operational Research Society 74 (2023) 7, pp. 1690-1711
Persistent link: https://www.econbiz.de/10014336284
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Creating a typology of analytics Master's degrees in UK universities : implications for employers and educators
Mortenson, Michael J.; Doherty, Neil F.; Robinson, Stewart - In: Journal of the Operational Research Society 71 (2020) 9, pp. 1327-1346
Persistent link: https://www.econbiz.de/10012264778
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Integrating machine learning and decision support in tactical decision-making in rugby union
Watson, Neil; Hendricks, Sharief; Stewart, Theodor J.; … - In: Journal of the Operational Research Society 72 (2021) 10, pp. 2274-2285
Persistent link: https://www.econbiz.de/10012653157
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From data to action : empowering COVID-19 monitoring and forecasting with intelligent algorithms
Charles, Vincent; Mousavi, Seyed Muhammad Hossein; … - In: Journal of the Operational Research Society 75 (2024) 7, pp. 1261-1278
Persistent link: https://www.econbiz.de/10014555908
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Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: Journal of the Operational Research Society 74 (2023) 3, pp. 840-859
Persistent link: https://www.econbiz.de/10014332223
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A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting
Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325
Persistent link: https://www.econbiz.de/10013170134
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Transparency, auditability, and explainability of machine learning models in credit scoring
Bücker, Michael; Szepannek, Gero; Gosiewska, Alicja; … - In: Journal of the Operational Research Society 73 (2022) 1, pp. 70-90
Persistent link: https://www.econbiz.de/10012872886
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Credit scoring by one-class classification driven dynamical ensemble learning
Li, Hao; Qiu, Hao; Sun, Shu; Chang, Jun; Tu, Wenting - In: Journal of the Operational Research Society 73 (2022) 1, pp. 181-190
Persistent link: https://www.econbiz.de/10012872898
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Machine learning for healthcare behavioural OR : addressing waiting time perceptions in emergency care
Gartner, Daniel; Padman, Rema - In: Journal of the Operational Research Society 71 (2020) 7, pp. 1087-1101
Persistent link: https://www.econbiz.de/10012264506
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Machine learning models and cost-sensitive decision trees for bond rating prediction
Jabeur, Sami Ben; Sadaaoui, Amir; Sghaier, Asma; Aloui, … - In: Journal of the Operational Research Society 71 (2020) 8, pp. 1161-1179
Persistent link: https://www.econbiz.de/10012264550