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Deep artificial neural network based on environmental sound data for the generation of a children activity classification model., , , , , , , , и . PeerJ Comput. Sci., (2020)Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source., , , , , , , и . Mob. Inf. Syst., (2019)Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach., , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison., , , , и . LA-CCI, стр. 1-6. IEEE, (2019)Biomedical Event Extraction Based on Transformers and Knowledge Graphs. (Extraction d'événements biomédicaux basée sur des transformers et des graphes de connaissances).. University of Lorraine, Nancy, France, (2023)Evaluation of Five Classifiers for Depression Episodes Detection., , , , , и . Res. Comput. Sci., 148 (10): 129-138 (2019)Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach., , , , и . MICAI (1), том 12468 из Lecture Notes in Computer Science, стр. 235-245. Springer, (2020)Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD., , , и . MICAI (2), том 10633 из Lecture Notes in Computer Science, стр. 294-304. Springer, (2017)Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014., , , , и . CONIELECOMP, стр. 217-224. IEEE, (2018)Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection., , , , и . MCPR, том 11524 из Lecture Notes in Computer Science, стр. 398-407. Springer, (2019)