Utku Kose

Utku KoseDr. Utku Kose is an Associate Professor at Süleyman Demirel University, Turkey. He received his PhD from Selcuk University, Turkey, in the field of computer engineering. He has more than 100 publications to his credit, including Deep Learning for Medcal Decision Support Systems, Springer; Artificial Intelligence Applications in Distance Education, IGI Global; Smart Applications with Advanced Machine Learning and Human-Centered Problem Design, Springer; Artificial Intelligence for Data-Driven Medical Diagnosis, DeGruyter; Computational Intelligence in Software Modeling, DeGruyter; Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; and Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press, among others. Dr. Kose is a Series Editor of the Biomedical and Robotics Healthcare series from Taylor & Francis/CRC Press. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Read More Read Less

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Deep Sciences for Computing and Communications37 %
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18 Sep 2024
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Deep Sciences for Computing and Communications37 %
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Artificial Intelligence
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02 Dec 2024
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Interpretable Cognitive Internet of Things for Healthcare37 %
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28 Jun 2024
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Deep Learning in Biomedical Signal and Medical Imaging41 %
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Technology and Tools in Engineering Education41 %
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08 Oct 2024
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Explainable Machine Learning for Multimedia Based Healthcare Applications37 %
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Artificial Intelligence and Digital Twin Technology36 %
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31 Dec 2024
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7th Eai International Conference on Computer Science and Engineering in Health Services37 %
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Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.037 %
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Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.037 %
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Interpretable Cognitive Internet of Things for Healthcare37 %
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Deep Sciences for Computing and Communications37 %
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19 Mar 2023
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Explainable Machine Learning for Multimedia Based Healthcare Applications37 %
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Smart Applications with Advanced Machine Learning and Human-Centred Problem Design37 %
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Deep Learning for Medical Applications with Unique Data45 %
Publisher: Elsevier Science
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01 Mar 2022
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Bayesian Reasoning and Gaussian Processes for Machine Learning Applications41 %
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