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Deep neural network to extract high-level features and labels in multi-label classification problems., , , , and . Neurocomputing, (2020)Methods to Edit Multi-label Training Sets Using Rough Sets Theory., , , and . IJCRS, volume 11499 of Lecture Notes in Computer Science, page 369-380. Springer, (2019)Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections., , , , , and . IWAIPR, volume 13055 of Lecture Notes in Computer Science, page 3-12. Springer, (2021)Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation., , , , and . IJCNN, page 1-10. IEEE, (2022)Long-term Cognitive Network-based architecture for multi-label classification., , and . Neural Networks, (2021)Outliers Detection in Multi-label Datasets., , , , and . MICAI (1), volume 12468 of Lecture Notes in Computer Science, page 65-75. Springer, (2020)Prototypes Generation from Multi-label Datasets Based on Granular Computing., , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 142-151. Springer, (2019)Forward Composition Propagation for Explainable Neural Reasoning., , , and . CoRR, (2021)A Solution for the Team Selection Problem Using ACO., , , and . ANTS Conference, volume 11172 of Lecture Notes in Computer Science, page 325-332. Springer, (2018)Forward Composition Propagation for Explainable Neural Reasoning., , , , and . IEEE Comput. Intell. Mag., 19 (1): 26-35 (February 2024)