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A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses
Prenkaj, Bardh, Velardi, Paola, Stilo, Giovanni, Distante, Damiano, Faralli, Stefano
Published in ACM computing surveys (31.05.2021)
Published in ACM computing surveys (31.05.2021)
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Regression‐based machine‐learning approaches to predict task activation using resting‐state fMRI
Cohen, Alexander D., Chen, Ziyi, Parker Jones, Oiwi, Niu, Chen, Wang, Yang
Published in Human brain mapping (15.02.2020)
Published in Human brain mapping (15.02.2020)
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Predicting the quality of air with machine learning approaches: Current research priorities and future perspectives
Mehmood, Khalid, Bao, Yansong, Saifullah, Cheng, Wei, Khan, Muhammad Ajmal, Siddique, Nadeem, Abrar, Muhammad Mohsin, Soban, Ahmad, Fahad, Shah, Naidu, Ravi
Published in Journal of cleaner production (15.12.2022)
Published in Journal of cleaner production (15.12.2022)
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Machine learning approaches to predicting medication nonadherence: a scoping review
Rhudy, Christian, Johnson, Jacob, Perry, Courtney, Bumgardner, Cody, Wesley, Michael J., Fardo, David, Barrett, Terrence, Talbert, Jeffery
Published in International journal of medical informatics (Shannon, Ireland) (01.12.2025)
Published in International journal of medical informatics (Shannon, Ireland) (01.12.2025)
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Physical Layer Authentication in Wireless Networks-Based Machine Learning Approaches
Alhoraibi, Lamia, Alghazzawi, Daniyal, Alhebshi, Reemah, Rabie, Osama Bassam J.
Published in Sensors (Basel, Switzerland) (06.02.2023)
Published in Sensors (Basel, Switzerland) (06.02.2023)
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Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals
Duan, Lijuan, Duan, Huifeng, Qiao, Yuanhua, Sha, Sha, Qi, Shunai, Zhang, Xiaolong, Huang, Juan, Huang, Xiaohan, Wang, Changming
Published in Frontiers in human neuroscience (23.09.2020)
Published in Frontiers in human neuroscience (23.09.2020)
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A survey on wind power forecasting with machine learning approaches
Yang, Yang, Lou, Hao, Wu, Jinran, Zhang, Shaotong, Gao, Shangce
Published in Neural computing & applications (01.07.2024)
Published in Neural computing & applications (01.07.2024)
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Machine learning approaches to identify Parkinson's disease using voice signal features
Alshammri, Raya, Alharbi, Ghaida, Alharbi, Ebtisam, Almubark, Ibrahim
Published in Frontiers in artificial intelligence (28.03.2023)
Published in Frontiers in artificial intelligence (28.03.2023)
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Machine learning approaches to predict whether MEPs can be elicited via TMS
Jin, Fang, Bruijn, Sjoerd M., Daffertshofer, Andreas
Published in Journal of neuroscience methods (01.10.2024)
Published in Journal of neuroscience methods (01.10.2024)
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COMPREHENSIVE CHARACTERIZATION OF CYTOKINES IN PATIENTS UNDER EXTRACORPOREAL MEMBRANE OXYGENATION: EVIDENCE FROM INTEGRATED BULK AND SINGLE-CELL RNA SEQUENCING DATA USING MULTIPLE MACHINE LEARNING APPROACHES
Chen, Zhen, Lu, Jianhai, Liu, Genglong, Liu, Changzhi, Wu, Shumin, Xian, Lina, Zhou, Xingliang, Zuo, Liuer, Su, Yongpeng
Published in Shock (Augusta, Ga.) (01.02.2025)
Published in Shock (Augusta, Ga.) (01.02.2025)
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Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Rana, Soumya Prakash, Dey, Maitreyee, Tiberi, Gianluigi, Sani, Lorenzo, Vispa, Alessandro, Raspa, Giovanni, Duranti, Michele, Ghavami, Mohammad, Dudley, Sandra
Published in Scientific reports (19.07.2019)
Published in Scientific reports (19.07.2019)
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Machine learning approaches to enhance diagnosis and staging of patients with MASLD using routinely available clinical information
McTeer, Matthew, Applegate, Douglas, Mesenbrink, Peter, Ratziu, Vlad, Schattenberg, Jörn M., Bugianesi, Elisabetta, Geier, Andreas, Romero Gomez, Manuel, Dufour, Jean-Francois, Ekstedt, Mattias, Francque, Sven, Yki-Jarvinen, Hannele, Allison, Michael, Valenti, Luca, Miele, Luca, Pavlides, Michael, Cobbold, Jeremy, Papatheodoridis, Georgios, Holleboom, Adriaan G., Tiniakos, Dina, Brass, Clifford, Anstee, Quentin M., Missier, Paolo
Published in PloS one (29.02.2024)
Published in PloS one (29.02.2024)
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Machine learning approaches for classifying major depressive disorder using biological and neuropsychological markers: A meta-analysis
Zhang, Lin, Jian, Liwen, Long, Yiming, Ren, Zhihong, Calhoun, Vince D., Passos, Ives Cavalcante, Tian, Xinyu, Xiang, Yuhong
Published in Neuroscience and biobehavioral reviews (01.07.2025)
Published in Neuroscience and biobehavioral reviews (01.07.2025)
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Evaluation of Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings
Gutierrez-Tobal, Gonzalo C., Alvarez, Daniel, Crespo, Andrea, del Campo, Felix, Hornero, Roberto
Published in IEEE journal of biomedical and health informatics (01.03.2019)
Published in IEEE journal of biomedical and health informatics (01.03.2019)
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