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Prototypes Generation from Multi-label Datasets Based on Granular Computing.

, , , и . CIARP, том 11896 из Lecture Notes in Computer Science, стр. 142-151. Springer, (2019)

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Methods to Edit Multi-label Training Sets Using Rough Sets Theory., , , и . IJCRS, том 11499 из Lecture Notes in Computer Science, стр. 369-380. Springer, (2019)Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections., , , , , и . IWAIPR, том 13055 из Lecture Notes in Computer Science, стр. 3-12. Springer, (2021)Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation., , , , и . IJCNN, стр. 1-10. IEEE, (2022)Forward Composition Propagation for Explainable Neural Reasoning., , , , и . IEEE Comput. Intell. Mag., 19 (1): 26-35 (февраля 2024)Reduction Methods for Multi-Label Datasets Based on Granular Computing., , , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Feature and Label Association Based on Granulation Entropy for Deep Neural Networks., , , , и . IJCRS, том 12179 из Lecture Notes in Computer Science, стр. 225-235. Springer, (2020)A Solution for the Team Selection Problem Using ACO., , , и . ANTS Conference, том 11172 из Lecture Notes in Computer Science, стр. 325-332. Springer, (2018)Outliers Detection in Multi-label Datasets., , , , и . MICAI (1), том 12468 из Lecture Notes in Computer Science, стр. 65-75. Springer, (2020)Prototypes Generation from Multi-label Datasets Based on Granular Computing., , , и . CIARP, том 11896 из Lecture Notes in Computer Science, стр. 142-151. Springer, (2019)A Method for Building Prototypes in the Nearest Prototype Approach Based on Similarity Relations for Problems of Function Approximation., , и . MICAI (1), том 7629 из Lecture Notes in Computer Science, стр. 39-50. Springer, (2012)