• Corpus ID: 238583677

Gated recurrent units and temporal convolutional network for multilabel classification

@article{Nanni2021GatedRU,
  title={Gated recurrent units and temporal convolutional network for multilabel classification},
  author={Loris Nanni and Alessandra Lumini and Alessandro Manfe and Sheryl Brahnam and Giorgio Venturin},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.04414}
}
Multilabel learning tackles the problem of associating a sample with multiple class labels. This work proposes a new ensemble method for managing multilabel classification: the core of the proposed approach combines a set of gated recurrent units and temporal convolutional neural networks trained with variants of the Adam optimization approach. Multiple Adam variants, including novel one proposed here, are compared and tested; these variants are based on the difference between present and past… 
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