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Evaluation of Cognitive Impairment in Pediatric Multiple Sclerosis with Machine Learning: An Exploratory Study of miRNA Expressions.

, , and . EAIS, page 1-6. IEEE, (2020)

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Nonnegative Matrix Factorizations Performing Object Detection and Localization., , and . Applied Comp. Int. Soft Computing, (2012)Guest Editorial Special Issue on AIoMT-Enabled Federated Learning-Based Computing for Socially Implemented IoMT Systems: How Will Healthcare Systems Change?, , , and . IEEE Trans. Comput. Soc. Syst., 10 (4): 1537-1539 (August 2023)A framework for intelligent Twitter data analysis with non-negative matrix factorization., , , and . Int. J. Web Inf. Syst., 14 (3): 334-356 (2018)Contact-Less Real-Time Monitoring of Cardiovascular Risk Using Video Imaging and Fuzzy Inference Rules., , , and . Inf., 10 (1): 9 (2019)Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments., and . HELMeTO, volume 1091 of Communications in Computer and Information Science, page 125-138. Springer, (2019)Framing automatic grading techniques for open-ended questionnaires responses. A short survey., , , , , , , , and . teleXbe (2), volume 3025 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)BAuth-ZKP - A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities., , , , , , and . Sensors, 23 (5): 2757 (March 2023)Intelligent analysis of data streams about phone calls for bipolar disorder monitoring., , , and . FUZZ-IEEE, page 1-6. IEEE, (2021)Confidence path regularization for handling label uncertainty in semi-supervised learning: use case in bipolar disorder monitoring., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2022)Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction., , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 79-93. Springer, (2020)