Target Threat Assessment Method for UUVs Based on EBM by Shuwei LIU, Jianqing CHENG, Kai LIU

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THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting by Liqian Zhou, Jiao Song, Zejun Li, Yingxi Hu, Wenyan Guo

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Predictive slope stability early warning model based on CatBoost by Yuan Cai, Ying Yuan, Aihong Zhou

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Utilizing Machine Learning and Multi-Station Observations to Investigate the Visibility of Sea Fog in the Beibu Gulf by Qin Huang, Peng Zeng, Xiaowei Guo, Jingjing Lyu

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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

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Machine Learning Prediction of CO₂ Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions by Qaiser Khan, Peyman Pourafshary, Fahimeh Hadavimoghaddam, Reza Khoramian

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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

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Exploring Chaos and Stability in a 3-D Finance Model with Absolute Function Nonlinearity by Muhamad Deni Johansyah, Sundarapandian Vaidyanathan, Khaled Benkouider, Aceng Sambas, Kandimalla Mallikarjuna Rao, Katuru Anjaneyulu

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A Stock Prediction Model Based on Cart and Boosting Algorithm by WANG Yu, CHEN De-yun, TANG Yuan-xin

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Immunostimulatory Effects of Red Beet Ferment Extract on Cyclophosphamide-Induced Immunosuppression in Wistar Rats by Hai-Min Hwang, Young-Mi Park, Hak-Yong Lee, Dong-Yeop Shin, Jae-Gon Kim, Jun-Sang Bae, Dae-Sik Haam, Hye-Jeong Yang, Min-Jung Kim, Myung-Sunny Kim, Jeong-Jae Lee, In-Ah Lee

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ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS by Victor V. Kitov

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Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes by Linggar Maretva Cendani, Adi Wibowo

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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

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Optimizing Curriculum for Students: A Machine Learning Approach to Time Management Analysis by Jianmin Dong

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Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women by Peng Wang, Qiang Yin, Kangzhi Ding, Huaichang Zhong, Qundi Jia, Zhasang Xiao, Hai Xiong

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Komparasi Algoritma Naive Bayes dan Gradient Boosting untuk Prediksi Pasien Diabetes by Nova Christina Sari, Triana Linda Larasati

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A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications by Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, Jagdeep T. Podichetty, Jackson Burton

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Flusion: Integrating multiple data sources for accurate influenza predictions by Evan L. Ray, Yijin Wang, Russell D. Wolfinger, Nicholas G. Reich

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Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

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