Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

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Text steganalysis using AdaBoost by SUI Xin-guang, SHEN Lei, YAN Ji-kun, ZHU Zhong-liang

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Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset by Sahrul Fahrezi Fahrezi, Adhitya Nugraha, Ardytha Luthfiarta, Nauval Dwi Primadya

Subjects: “…AdaBoost…”
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Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method by Rencheng Fang, Tao Zhou, Baohua Yu, Zhigang Li, Long Ma, Tao Luo, Yongcai Zhang, Xinqi Liu

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AdaBoost algorithm based on fitted weak classifier by Pengfeng SONG, Qingwei YE, Zhihua LU, Yu ZHOU

Subjects: “…AdaBoost…”
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Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques by Muchamad Bachram Shidiq, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

Subjects: “…adaboost…”
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

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A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost by Raj Joseph Kiran, J. Sanil, S. Asharaf

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Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique by Pradeepa Sampath, Gurupriya Elangovan, Kaaveya Ravichandran, Vimal Shanmuganathan, Subbulakshmi Pasupathi, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

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Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification by Safet Purkovic, Luka Jovanovic, Miodrag Zivkovic, Milos Antonijevic, Edin Dolicanin, Eva Tuba, Milan Tuba, Nebojsa Bacanin, Petar Spalevic

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

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A Pseudo-Labeling Multi-Screening-Based Semi-Supervised Learning Method for Few-Shot Fault Diagnosis by Shiya Liu, Zheshuai Zhu, Zibin Chen, Jun He, Xingda Chen, Zhiwen Chen

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Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association by Zhenxin He, Guoxu Li, Zheng Wang, Guanxiong He, Hao Yan, Rong Wang

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Study on AdaBoost-based link quality prediction mechanism by Jian SHU, Man-lan LIU, Wei ZHENG

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Non-Destructive Prediction of Rosmarinic Acid Content in Basil Plants Using a Portable Hyperspectral Imaging System and Ensemble Learning Algorithms by Hyo In Yoon, Dahye Ryu, Jai-Eok Park, Ho-Youn Kim, Soo Hyun Park, Jung-Seok Yang

Subjects: “…AdaBoost…”
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An innovative combination of extra trees within adaboost for accurate prediction of agricultural water quality indices by Mahmood Yousefi, Vahide Oskoei, Hamid Reza Esmaeli, Mansour Baziar

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An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Kaywan Othman Ahmed, Salim Heddam, Sungwon Kim

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Video inter-frame tampering detection algorithm fusing multiple features by Hui XIAO, Bin WENG, Tianqiang HUANG, Han PU, Zehui HUANG

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Balanced Multi-Class Network Intrusion Detection Using Machine Learning by Faraz Ahmad Khan, Asghar Ali Shah, Nizal Alshammry, Saifullah Saif, Wasim Khan, Muhammad Osama Malik, Zahid Ullah

Subjects: “…AdaBoost…”
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