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An Empirical Study on Feature Extraction for the Classification of Textural and Natural Images., и . RACS, стр. 51-55. ACM, (2016)A new K-View algorithm for texture image classification using rotation-invariant feature., , , , и . SAC, стр. 914-921. ACM, (2009)A comparative study and analysis on K-view based algorithms for image texture classification., , , и . SAC, стр. 859-860. ACM, (2011)A new cross-training approach by using labeled data., , , , и . SAC, стр. 941-942. ACM, (2009)Performance consequences of introducing an internal penalty function to a genetic algorithm for scheduling., и . RACS, стр. 12-15. ACM, (2013)The investigation of the structural properties of machines for the design of secure and trustworthy systems., , , и . RACS, стр. 261-265. ACM, (2011)Using genetic differential competitive learning for unsupervised training in multispectral image classification systems., , и . SMC, стр. 4482-4485. IEEE, (1998)A target-oriented segmentation method for specific tissues in MRI images of the brain., , , , , и . Multim. Tools Appl., 78 (7): 9083-9099 (2019)A multimodal fusion model with multi-level attention mechanism for depression detection., , , , и . Biomed. Signal Process. Control., (апреля 2023)An Unpaired Cross-Modality Segmentation Framework Using Data Augmentation and Hybrid Convolutional Networks for Segmenting Vestibular Schwannoma and Cochlea., , , , и . BrainLes@MICCAI (2), том 14092 из Lecture Notes in Computer Science, стр. 79-89. Springer, (2022)