Data Science and Machine Learning to Support Business Decisions
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Item Sentiment in Big Tech’s Investor Relations: Does the Discourse Predict Future Stock Movements?(2024-01-03) Goldberg, David; Hong, Sukhwa; Villacis Calderon, EduardoItem Improving the Accuracy of Sequential Recommendation Using a Time-aware Architecture(2024-01-03) Sun, Ruoxi; Yan, Jun; Ren, Fenghui; Cao, CongItem Reinforcement Learning-based Livestreaming E-commerce Recommendation System(2024-01-03) Lin, Yi-Ling; Hsiao, Shun-Wen; Tang, Szu-ChiItem Robust Optimization for Inference on Machine Learning Generated Variables(2024-01-03) Schecter, Aaron; Li, WeifengItem The Positive Impact of Metric Learning on Open Set Nearest Neighbor Classification(2024-01-03) Grote, Alexander; Badewitz, Wolfgang; Knierim, Michael Thomas; Weinhardt, ChristofItem Research on the causes of earthwork foundation pit collapse based on Fault tree and Bayesian network(2024-01-03) Shi, Donghui; Gan, Shuling; Zurada, Jozef; Feilong, Wang; Wang, Yuanyuan; Guan, JianItem Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection(2024-01-03) Mahdavi, Atefeh; Carvalho, MarcoItem A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data(2024-01-03) West, Nikolai; Deuse, JochenItem Evaluating the Risk of Re-Identification in Data Release Strategies: An Attacker-Centric Approach(2024-01-03) Mesana, Patrick; Jutras, Pascal; Crowe, Julien; Vial, Gregory; Caporossi, GillesItem Introduction to the Minitrack on Data Science and Machine Learning to Support Business Decisions(2024-01-03) Delen, Dursun; Davazdahemami, Behrooz; Zolbanin, Hamed