Preserving the World Heritage: Post-Earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features

Cite

Text

Dente et al. "Preserving the World Heritage: Post-Earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025. doi:10.1007/978-3-662-72243-5_20

Markdown

[Dente et al. "Preserving the World Heritage: Post-Earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025.](https://mlanthology.org/ecmlpkdd/2025/dente2025ecmlpkdd-preserving/) doi:10.1007/978-3-662-72243-5_20

BibTeX

@inproceedings{dente2025ecmlpkdd-preserving,
  title     = {{Preserving the World Heritage: Post-Earthquake Monitoring Based on Structural Break Testing with Deep Temporal Convolutional Features}},
  author    = {Dente, Francesco and Combey, Andy and Lhéritier, Alix and Acuna-Agost, Rodrigo and Mercerat, E. Diego},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2025},
  pages     = {349-365},
  doi       = {10.1007/978-3-662-72243-5_20},
  url       = {https://mlanthology.org/ecmlpkdd/2025/dente2025ecmlpkdd-preserving/}
}