ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models

Huang et al. "ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70381-2_27

[Huang et al. "ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/huang2024ecmlpkdd-extea/) doi:10.1007/978-3-031-70381-2_27

@inproceedings{huang2024ecmlpkdd-extea,
  title     = {{ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models}},
  author    = {Huang, Yiran and Zhou, Yexu and Zhao, Haibin and Fang, Likun and Riedel, Till and Beigl, Michael},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {429-446},
  doi       = {10.1007/978-3-031-70381-2_27},
  url       = {https://mlanthology.org/ecmlpkdd/2024/huang2024ecmlpkdd-extea/}
}