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Decision analysis

Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction

Muhammad Rizwan Khurshid, Sadaf Manzoor, [ ... ], Ashit Kumar Dutta

Machine learning approach to student performance prediction of online learning

Jing Wang, Yun Yu

Optimization of carbon footprint management model of electric power enterprises based on artificial intelligence

Liangzheng Wu, Kaiman Li, [ ... ], Jieren Tan

Investigating the contributors to hit-and-run crashes using gradient boosting decision trees

Baorui Han, Haibo Huang, [ ... ], Zhenjun Zhu

Predicting learning achievement using ensemble learning with result explanation

Tingting Tong, Zhen Li

An investigation of feature reduction, transferability, and generalization in AWID datasets for secure Wi-Fi networks

Nashmia Khalid, Sadaf Hina, [ ... ], Zainab Noor

NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class

Seongil Han, Haemin Jung

Plasma microRNA signatures predict prognosis in canine osteosarcoma patients

Latasha Ludwig, Michael Edson, [ ... ], Geoffrey A. Wood

Artificial intelligence applied to bed regulation in Rio Grande do Norte: Data analysis and application of machine learning on the “RegulaRN Leitos Gerais” platform

Tiago de Oliveira Barreto, Fernando Lucas de Oliveira Farias, [ ... ], Ricardo Alexsandro de Medeiros Valentim

Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach

Sherin Kularathne, Amanda Perera, [ ... ], Yukinobu Hoshino

Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry

Junjie Dai, Xiaoyan Mao, [ ... ], Lei Cao

Entropy-based dynamic ensemble classication algorithm for imbalanced data stream with concept drift

JiaMing Gong, MingGang Dong

Evaluating generative artificial intelligence’s limitations in health policy identification and interpretation

Rory Wilson, Ciara M. Weets, Amanda Rosner, Rebecca Katz

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