A meta-learning based stacked regression approach for customer lifetime value prediction by Karan Gadgil, Sukhpal Singh Gill, Ahmed M. Abdelmoniem

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Water quality prediction using Machine Learning Models by Sharma Astha, Sharma Richa, Rana Rishi, Kalia Anshul

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Gaining insights into the physicochemical properties and sequence space of blood–brain barrier penetrating peptides by Abhigyan Nath, Sneha Pandey, Kottakkaran Sooppy Nisar, Anoop Kumar Tiwari

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A comparative analysis of Deep Neural Networks and Gradient Boosting Algorithms in long-term wind power forecasting by Ivanović Luka, Milić Saša D., Sokolović Živko, Rakić Aleksandar

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Acceptance Rate Prediction of Blockchain in Automotive Supply Chain Management With a Bayesian Distributive Gradient Integrated BiLSTM by Ahlaam Albuloushi, Ahmad Alzubi, Tolga Oz

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Machine learning-driven simplification of the hypomania checklist-32 for adolescent: a feature selection approach by Guanghui Shen, Haoran Chen, Xinwu Ye, Xiaodong Xue, Shusi Tang

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A Lightweight malware detection technique based on hybrid fuzzy simulated annealing clustering in Android apps by Collins Chimeleze, Norziana Jamil, Nazik Alturki, Zuhaira Muhammad Zain

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Modeling Ionospheric TEC Using Gradient Boosting Based and Stacking Machine Learning Techniques by Ayanew Nigusie, Ambelu Tebabal, Roman Galas

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A novel light GBM framework combined with gain optimization for predicting dementia severity of Alzheimer’s disease by R. Roopalakshmi, R. Sreelatha

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Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm by Nana Zhang, Qi An, Shuai Zhang, Huanhuan Ma

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Explainable tuned machine learning models for assessing the impact of corrosion on bond strength in concrete by Maryam Bypour, Alireza Mahmoudian, Mohammad Yekrangnia, Mahdi Kioumarsi

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An Improved Machine Learning Framework Considering Spatiotemporal Heterogeneity for Analyzing the Relationship Between Subway Station-Level Passenger Flow Resilience and Land Use-R... by Peikun Li, Quantao Yang, Wenbo Lu, Shu Xi, Hao Wang

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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model by Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P

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Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms by Lin Luo, Peng Gao, Chunhui Yang, Sha Yu

Subjects: “…LightGBM (light gradient-boosting machine)…”
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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis by Xiaoyan Sun

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Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates by Siham Acharki, Ali Raza, Dinesh Kumar Vishwakarma, Mina Amharref, Abdes Samed Bernoussi, Sudhir Kumar Singh, Nadhir Al-Ansari, Ahmed Z. Dewidar, Ahmed A. Al-Othman, Mohamed A. Mattar

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Application of machine learning to optimized design of layer structured particles by Hiroki GONOME, Hirotake SATO, Tatsuro HIRAI

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