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Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm
Sia, Florence, Alfred, Rayner
Published in International journal of computational intelligence systems (10.08.2022)
Published in International journal of computational intelligence systems (10.08.2022)
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Journal Article
Multimodal convolutional neural network–based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video)
Ziegler, Joceline, Dobsch, Philipp, Rozema, Marten, Zuber-Jerger, Ina, Weigand, Kilian, Reuther, Stefan, Müller, Martina, Kandulski, Arne
Published in Gastrointestinal endoscopy (01.04.2025)
Published in Gastrointestinal endoscopy (01.04.2025)
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Journal Article
Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults
Published in Cochrane library
(04.12.2018)
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Journal Article
Data Mining Technique for Diabetes Diagnosis using Classification Algorithms
Priya, M., Karthikeyan, M.
Published in International journal of recent technology and engineering (30.11.2019)
Published in International journal of recent technology and engineering (30.11.2019)
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Journal Article
Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study
Campagner, Andrea, Agnello, Luisa, Carobene, Anna, Padoan, Andrea, Del Ben, Fabio, Locatelli, Massimo, Plebani, Mario, Ognibene, Agostino, Lorubbio, Maria, De Vecchi, Elena, Cortegiani, Andrea, Piva, Elisa, Poz, Donatella, Curcio, Francesco, Cabitza, Federico, Ciaccio, Marcello
Published in Journal of medical Internet research (26.02.2025)
Published in Journal of medical Internet research (26.02.2025)
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Journal Article
A rule-based intelligent method for fault diagnosis of rotating machinery
Dou, Dongyang, Yang, Jianguo, Liu, Jiongtian, Zhao, Yingkai
Published in Knowledge-based systems (01.12.2012)
Published in Knowledge-based systems (01.12.2012)
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Journal Article