Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization

Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognition, 139:109440, July 2023. [doi]

@article{DissanayakeFDSF23-0,
  title = {Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization},
  author = {Theekshana Dissanayake and Tharindu Fernando and Simon Denman and Sridha Sridharan and Clinton Fookes},
  year = {2023},
  month = {July},
  doi = {10.1016/j.patcog.2023.109440},
  url = {https://doi.org/10.1016/j.patcog.2023.109440},
  researchr = {https://researchr.org/publication/DissanayakeFDSF23-0},
  cites = {0},
  citedby = {0},
  journal = {Pattern Recognition},
  volume = {139},
  pages = {109440},
}