Citing difw
This software is released under the MIT License.
difw was accepted as a short paper and published in the Proceedings of the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022.
Note that if you use this code and/or the results of running it to support any form of publication we request to include the following citation:
Bibtex entry:
@article{https://doi.org/10.48550/arxiv.2206.08107, doi = {10.48550/ARXIV.2206.08107}, url = {https://arxiv.org/abs/2206.08107}, author = {Martinez, Iñigo and Viles, Elisabeth and Olaizola, Igor G.}, keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Closed-Form Diffeomorphic Transformations for Time Series Alignment}, publisher = {arXiv}, year = {2022}, copyright = {arXiv.org perpetual, non-exclusive license} }