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Improving classification accuracy using data augmentation on small data sets.

, , и . Expert Syst. Appl., (2020)

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Humberto Jorge José

Ricardo Jerez

Nadine José Gonzalez

José Navarrete

José Putharikal

 

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Improving classification accuracy using data augmentation on small data sets., , и . Expert Syst. Appl., (2020)Neural Network Architecture Selection: Size Depends on Function Complexity., , , и . ICANN (1), том 4131 из Lecture Notes in Computer Science, стр. 122-129. Springer, (2006)L_1 L 1 -regularization Model Enriched with Biological Knowledge., , , , и . IWBBIO (1), том 10208 из Lecture Notes in Computer Science, стр. 579-590. (2017)A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions., , , и . IJCNN, стр. 4791-4796. IEEE, (2006)Named Entity Recognition for De-identifying Real-World Health Records in Spanish., , , , , , и . ICCS (3), том 14075 из Lecture Notes in Computer Science, стр. 228-242. Springer, (2023)ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT., , и . CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers., , , , и . IWANN (1), том 12861 из Lecture Notes in Computer Science, стр. 24-35. Springer, (2021)Forward Noise Adjustment Scheme for Data Augmentation., , , , и . SSCI, стр. 728-734. IEEE, (2018)Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks., , и . IWANN, том 3512 из Lecture Notes in Computer Science, стр. 1-8. Springer, (2005)Optimal Synthesis of Boolean Functions by Threshold Functions., , , и . ICANN (1), том 4131 из Lecture Notes in Computer Science, стр. 983-992. Springer, (2006)