Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models
- DOI
- 10.1007/978-3-031-08337-2_33
- Published
- 2022
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-08337-2_33,
title = {Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models},
author = {Morgan Byers and Lee B. Hinkle and Vangelis Metsis},
year = {2022},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-08337-2_33},
url = {https://doi.org/10.1007/978-3-031-08337-2_33}
}RIS
TY - JOUR TI - Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models AU - Morgan Byers AU - Lee B. Hinkle AU - Vangelis Metsis PY - 2022 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-08337-2_33 UR - https://doi.org/10.1007/978-3-031-08337-2_33 ER -
APA
Byers, M., Hinkle, L. B., & Metsis, V. (2022). Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-08337-2_33
Source records
- crossref · retrieved 2026-09-25T22:31:38.124Z