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Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids.

, , , и . Int. J. Comb. Optim. Probl. Informatics, 6 (2): 11-27 (2015)

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Juana Güldenpfennig

Juana Kirsten

Juana Schnuchel

Ulrike Juana Hölz

Juana Salas Poblete

 

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Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around Medoids., , , и . Int. J. Comb. Optim. Probl. Informatics, 6 (2): 11-27 (2015)Predicting the Need of Mechanical Ventilation in Guillain-Barré Patients Using Machine Learning Algorithms with Relevant Features., , и . MICAI (2), том 10062 из Lecture Notes in Computer Science, стр. 237-247. Springer, (2016)Scaling Fuzzy Models., , , , , и . Scalable Fuzzy Algorithms for Data Management and Analysis, IGI Global, (2009)Performance of Human Proposed Equations, Genetic Programming Equations, and Artificial Neural Networks in a Real-Time Color Labeling Assistant for the Colorblind., , , , , и . MICAI, том 11835 из Lecture Notes in Computer Science, стр. 557-575. Springer, (2019)Combination of Trees for Guillain-Barré Subtype Classification., , , и . DCAI, том 474 из Advances in Intelligent Systems and Computing, стр. 71-78. Springer, (2016)A permutational-based Differential Evolution algorithm for feature subset selection., , , и . Pattern Recognit. Lett., (2020)Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis., , , и . Int. J. Comb. Optim. Probl. Informatics, 13 (4): 83-102 (2022)Design of a Semantic Lexicon Affective Applied to an Analysis Model Emotions for Teaching Evaluation., , , , и . DCAI, том 373 из Advances in Intelligent Systems and Computing, стр. 219-226. Springer, (2015)A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms., , и . Comput. Math. Methods Medicine, (2017)An Eco-System Architectural Model for Delivering Educational Services to Children With Learning Problems in Basic Mathematics., , , , и . Int. J. Inf. Technol. Syst. Approach, 12 (2): 61-81 (2019)