Bilaketaren emaitzak - "Machine Learning"

Data Clustering

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Bayesian Inference Recent Advantages

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The Amplifying Effect of Conflicts on Case Fatality Rate of COVID-19: Evidence From 120 Countries nork Yonghui Zhai, Dayang Jiang, Giray Gozgor, Eunho Cho

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The Connection Between the Nervous System and Machines: Commentary nork Valle, Giacomo

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Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations nork Idris Bachali Losada, Nadia Terranova

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Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes? nork Lee, Joon

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Selecting Privacy-Enhancing Technologies for Managing Health Data Use nork Sara Jordan, Clara Fontaine, Rachele Hendricks-Sturrup

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The role of artificial intelligence in cardio-oncology: present and future: A review nork Yuri I. Buziashvili, Elmira U. Asymbekova, Elvina F. Tugeeva, Firdavsdzhon R. Akildzhonov

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Exploring the impact of artificial intelligence on teaching and learning in higher education nork Stefan A. D. Popenici, Sharon Kerr

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METHODS OF TEXT PROCESSING WHEN CREATING CHATBOTS nork Borodin, A.I, Veynberg, R.R, Litvishko, O.V

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From organs to algorithms: Redefining cancer classification in the age of artificial intelligence nork Sean Khozin

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Polymeric Carriers Designed for Encapsulation of Essential Oils with Biological Activity nork Aurica P. Chiriac, Alina G. Rusu, Loredana E. Nita, Vlad M. Chiriac, Iordana Neamtu, Alina Sandu

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First person - Gideon Hughes

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Research progress in screening methods and predictive models for depression in children and adolescents: a review nork Xin WANG, Linyuan LAI, Ying LI, Xiyan ZHANG, Jie YANG

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Understanding necrotizing enterocolitis endotypes and acquired intestinal injury phenotypes from a historical and artificial intelligence perspective nork Alain Cuna, Alain Cuna, Navin Kumar, Venkatesh Sampath, Venkatesh Sampath

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New Horizons and Prospects in Oral Cancer Detection nork Ojha Ayushi, Panda Baisali, Mishra Pallavi, Das Duttatrayee, Kumar Vijay, Bhuyan Lipsa

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Modeling approaches for early warning and monitoring of pandemic situations as well as decision support nork Jonas Botz, Danqi Wang, Danqi Wang, Nicolas Lambert, Nicolas Wagner, Marie Génin, Edward Thommes, Sumit Madan, Sumit Madan, Laurent Coudeville, Holger Fröhlich, Holger Fröhlich

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Bioinformatics Research on Drug Sensitivity Prediction nork Yaojia Chen, Liran Juan, Xiao Lv, Lei Shi

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Teledermatology and its current perspective nork Paola Pasquali, Sidharth Sonthalia, David Moreno-Ramirez, Pooram Sharma, Mahima Agrawal, Somesh Gupta, Dinesh Kumar, Dharmendra Arora

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Harnessing the Power of Artificial Intelligence(AI) for Predicting Nutritional At-Risk Children nork Somen Saha, Deepak B Saxena

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