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EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease
Pirrone, Daniele, Weitschek, Emanuel, Di Paolo, Primiano, De Salvo, Simona, De Cola, Maria Cristina
Published in Applied sciences (01.06.2022)
Published in Applied sciences (01.06.2022)
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Driver Distraction Detection Using Semi-Supervised Machine Learning
Liu, Tianchi, Yang, Yan, Huang, Guang-Bin, Yeo, Yong Kiang, Lin, Zhiping
Published in IEEE transactions on intelligent transportation systems (01.04.2016)
Published in IEEE transactions on intelligent transportation systems (01.04.2016)
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Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases
Manandhar, Ishan, Alimadadi, Ahmad, Aryal, Sachin, Munroe, Patricia B., Joe, Bina, Cheng, Xi
Published in American journal of physiology: Gastrointestinal and liver physiology (01.03.2021)
Published in American journal of physiology: Gastrointestinal and liver physiology (01.03.2021)
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Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning
Xu, Guomei, Geng, Guohong, Wang, Ankang, Li, Zhangyong, Liu, Zhichao, Liu, Yanping, Hu, Jun, Wang, Wei, Li, Xinwei
Published in Autism research (01.10.2024)
Published in Autism research (01.10.2024)
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Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM
Alvarez, Marcus, Rahmani, Elior, Jew, Brandon, Garske, Kristina M., Miao, Zong, Benhammou, Jihane N., Ye, Chun Jimmie, Pisegna, Joseph R., Pietiläinen, Kirsi H., Halperin, Eran, Pajukanta, Päivi
Published in Scientific reports (03.07.2020)
Published in Scientific reports (03.07.2020)
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Differentiating estuarine dissolved organic matter composition by unsupervised and supervised machine learning
Zhang, Zhe-Xuan, Huguet, Arnaud, Hayet, Zoé, Parlanti, Edith
Published in Water research (Oxford) (15.09.2025)
Published in Water research (Oxford) (15.09.2025)
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The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research
Heneghan, Julia A, Walker, Sarah B, Fawcett, Andrea, Bennett, Tellen D, Dziorny, Adam C, Sanchez-Pinto, L Nelson, Farris, Reid W D, Winter, Meredith C, Badke, Colleen, Martin, Blake, Brown, Stephanie R, McCrory, Michael C, Ness-Cochinwala, Manette, Rogerson, Colin, Baloglu, Orkun, Harwayne-Gidansky, Ilana, Hudkins, Matthew R, Kamaleswaran, Rishikesan, Gangadharan, Sandeep, Tripathi, Sandeep, Mendonca, Eneida A, Markovitz, Barry P, Mayampurath, Anoop, Spaeder, Michael C
Published in Pediatric critical care medicine (01.04.2024)
Published in Pediatric critical care medicine (01.04.2024)
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Accurate diagnosis of atopic dermatitis by combining transcriptome and microbiota data with supervised machine learning
Jiang, Ziyuan, Li, Jiajin, Kong, Nahyun, Kim, Jeong-Hyun, Kim, Bong-Soo, Lee, Min-Jung, Park, Yoon Mee, Lee, So-Yeon, Hong, Soo-Jong, Sul, Jae Hoon
Published in Scientific reports (07.01.2022)
Published in Scientific reports (07.01.2022)
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AB1575 A RELIABLE METHOD FOR ANNOTATING HAND AND WRIST X-RAYS FOR SUPERVISED MACHINE LEARNING ALGORITHMS
Rambojun, A., Antony, A., Hughes-Roberts, Y., Tillett, W.
Published in Annals of the rheumatic diseases (01.06.2023)
Published in Annals of the rheumatic diseases (01.06.2023)
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Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography
Spieker, Eira Lotta, Dvorani, Ardit, Salchow-Hömmen, Christina, Otto, Carolin, Ruprecht, Klemens, Wenger, Nikolaus, Schauer, Thomas
Published in Sensors (Basel, Switzerland) (01.01.2024)
Published in Sensors (Basel, Switzerland) (01.01.2024)
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