% EchoTime time-series similarity reading map.
% Metadata checked on 2026-10-29. See the JSON/Markdown evidence records for access limits.
% Only verified fields are included. Survey preprints are explicitly marked.

@article{sakoe1978dtw,
  title = {{Dynamic programming algorithm optimization for spoken word recognition}},
  author = {Hiroaki Sakoe and Seibi Chiba},
  year = {1978},
  journal = {IEEE Transactions on Acoustics, Speech, and Signal Processing},
  doi = {10.1109/TASSP.1978.1163055},
  url = {https://ieeexplore.ieee.org/abstract/document/1163055/authors},
  volume = {26},
  number = {1},
  pages = {43--49},
}

@inproceedings{vlachos2002lcss,
  title = {{Discovering Similar Multidimensional Trajectories}},
  author = {Michail Vlachos and Dimitrios Gunopulos and George Kollios},
  year = {2002},
  booktitle = {Proceedings of the 18th International Conference on Data Engineering},
  doi = {10.1109/ICDE.2002.994784},
  url = {https://people.cs.aau.dk/~simas/teaching/trajectories/00994784.pdf},
  pages = {673--684},
}

@inproceedings{chen2004erp,
  title = {{On The Marriage of Lp-norms and Edit Distance}},
  author = {Lei Chen and Raymond T. Ng},
  year = {2004},
  booktitle = {Proceedings of the 30th International Conference on Very Large Data Bases},
  doi = {10.1016/B978-012088469-8.50070-X},
  url = {https://www.vldb.org/conf/2004/RS21P2.PDF},
  pages = {792--803},
}

@inproceedings{chen2005edr,
  title = {{Robust and Fast Similarity Search for Moving Object Trajectories}},
  author = {Lei Chen and M. Tamer Özsu and Vincent Oria},
  year = {2005},
  booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data},
  doi = {10.1145/1066157.1066213},
  url = {https://cse.hkust.edu.hk/~leichen/pub/05/sigmod05.pdf},
  pages = {491--502},
}

@article{marteau2009twed,
  title = {{Time warp edit distance with stiffness adjustment for time series matching}},
  author = {Pierre-François Marteau},
  year = {2009},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  doi = {10.1109/TPAMI.2008.76},
  url = {https://arxiv.org/abs/cs/0703033},
  volume = {31},
  number = {2},
  pages = {306--318},
}

@article{stefan2013msm,
  title = {{The Move-Split-Merge Metric for Time Series}},
  author = {Alexandra Stefan and Vassilis Athitsos and Gautam Das},
  year = {2013},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  doi = {10.1109/TKDE.2012.88},
  url = {https://ranger.uta.edu/~alex/publications/stefan\_tkde2012\_preprint.pdf},
  volume = {25},
  number = {6},
  pages = {1425--1438},
}

@inproceedings{paparrizos2015kshape,
  title = {{k-Shape: Efficient and Accurate Clustering of Time Series}},
  author = {John Paparrizos and Luis Gravano},
  year = {2015},
  booktitle = {Proceedings of the ACM SIGMOD International Conference on Management of Data},
  doi = {10.1145/2723372.2737793},
  url = {https://www.cs.columbia.edu/~gravano/Papers/2015/sigmod2015.pdf},
}

@article{zhao2018shapedtw,
  title = {{shapeDTW: Shape Dynamic Time Warping}},
  author = {Jiaping Zhao and Laurent Itti},
  year = {2018},
  journal = {Pattern Recognition},
  doi = {10.1016/j.patcog.2017.09.020},
  url = {https://www.sciencedirect.com/science/article/pii/S0031320317303710},
  volume = {74},
  pages = {171--184},
}

@inproceedings{cuturi2011gak,
  title = {{Fast Global Alignment Kernels}},
  author = {Marco Cuturi},
  year = {2011},
  booktitle = {Proceedings of the 28th International Conference on Machine Learning},
  url = {https://icml.cc/2011/papers/489\_icmlpaper.pdf},
  pages = {929--936},
}

@inproceedings{cuturi2017softdtw,
  title = {{Soft-DTW: a Differentiable Loss Function for Time-Series}},
  author = {Marco Cuturi and Mathieu Blondel},
  year = {2017},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning},
  url = {https://proceedings.mlr.press/v70/cuturi17a.html},
  volume = {70},
  pages = {894--903},
}

@inproceedings{blondel2021divergences,
  title = {{Differentiable Divergences Between Time Series}},
  author = {Mathieu Blondel and Arthur Mensch and Jean-Philippe Vert},
  year = {2021},
  booktitle = {Proceedings of the 24th International Conference on Artificial Intelligence and Statistics},
  url = {https://proceedings.mlr.press/v130/blondel21a.html},
  volume = {130},
  pages = {3853--3861},
}

@inproceedings{leguen2019dilate,
  title = {{Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models}},
  author = {Vincent Le Guen and Nicolas Thome},
  year = {2019},
  booktitle = {Advances in Neural Information Processing Systems},
  url = {https://papers.nips.cc/paper\_files/paper/2019/hash/466accbac9a66b805ba50e42ad715740-Abstract.html},
  volume = {32},
}

@inproceedings{yeh2016matrixprofile,
  title = {{Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets}},
  author = {Chin-Chia Michael Yeh and Yan Zhu and Liudmila Ulanova and Nurjahan Begum and Yifei Ding and Hoang Anh Dau and Diego Furtado Silva and Abdullah Mueen and Eamonn Keogh},
  year = {2016},
  booktitle = {2016 IEEE 16th International Conference on Data Mining},
  doi = {10.1109/ICDM.2016.0179},
  url = {https://ieeexplore.ieee.org/document/7837992/},
  pages = {1317--1322},
}

@inproceedings{schaefer2012sfa,
  title = {{SFA: A Symbolic Fourier Approximation and Index for Similarity Search in High Dimensional Datasets}},
  author = {Patrick Schäfer and Mikael Högqvist},
  year = {2012},
  booktitle = {Proceedings of the 15th International Conference on Extending Database Technology},
  doi = {10.1145/2247596.2247656},
  url = {https://doi.org/10.1145/2247596.2247656},
  pages = {516--527},
}

@inproceedings{batista2011cid,
  title = {{A Complexity-Invariant Distance Measure for Time Series}},
  author = {Gustavo E. A. P. A. Batista and Xiaoyue Wang and Eamonn J. Keogh},
  year = {2011},
  booktitle = {Proceedings of the 2011 SIAM International Conference on Data Mining},
  doi = {10.1137/1.9781611972818.60},
  url = {https://epubs.siam.org/doi/10.1137/1.9781611972818.60},
  pages = {699--710},
}

@article{shokoohi2017multidtw,
  title = {{Generalizing DTW to the multi-dimensional case requires an adaptive approach}},
  author = {Mohammad Shokoohi-Yekta and Bing Hu and Hongxia Jin and Jun Wang and Eamonn Keogh},
  year = {2017},
  journal = {Data Mining and Knowledge Discovery},
  doi = {10.1007/s10618-016-0455-0},
  url = {https://pmc.ncbi.nlm.nih.gov/articles/PMC5668684/},
  volume = {31},
  number = {1},
  pages = {1--31},
}

@article{ding2008comparison,
  title = {{Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures}},
  author = {Hui Ding and Goce Trajcevski and Peter Scheuermann and Xiaoyue Wang and Eamonn Keogh},
  year = {2008},
  journal = {Proceedings of the VLDB Endowment},
  doi = {10.14778/1454159.1454226},
  url = {https://users.eecs.northwestern.edu/~peters/references/vldb08.pdf},
  volume = {1},
  number = {2},
  pages = {1542--1552},
}

@article{wu2022fastdtw,
  title = {{FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates}},
  author = {Renjie Wu and Eamonn J. Keogh},
  year = {2022},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  doi = {10.1109/TKDE.2020.3033752},
  url = {https://wu.renjie.im/research/fastdtw-is-slow/},
  volume = {34},
  number = {8},
  pages = {3779--3785},
}

@article{yue2022ts2vec,
  title = {{TS2Vec: Towards Universal Representation of Time Series}},
  author = {Zhihan Yue and Yujing Wang and Juanyong Duan and Tianmeng Yang and Congrui Huang and Yunhai Tong and Bixiong Xu},
  year = {2022},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  doi = {10.1609/aaai.v36i8.20881},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/20881},
  volume = {36},
  number = {8},
  pages = {8980--8987},
}

@article{herrmann2023adtw,
  title = {{Amercing: An intuitive and effective constraint for dynamic time warping}},
  author = {Matthieu Herrmann and Geoffrey I. Webb},
  year = {2023},
  journal = {Pattern Recognition},
  doi = {10.1016/j.patcog.2023.109333},
  url = {https://www.sciencedirect.com/science/article/pii/S0031320323000341},
  volume = {137},
  pages = {109333},
}

@inproceedings{dong2023simmtm,
  title = {{SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling}},
  author = {Jiaxiang Dong and Haixu Wu and Haoran Zhang and Li Zhang and Jianmin Wang and Mingsheng Long},
  year = {2023},
  booktitle = {Advances in Neural Information Processing Systems},
  url = {https://papers.neurips.cc/paper\_files/paper/2023/hash/5f9bfdfe3685e4ccdbc0e7fb29cccf2a-Abstract-Conference.html},
  volume = {36},
}

@inproceedings{goswami2024moment,
  title = {{MOMENT: A Family of Open Time-series Foundation Models}},
  author = {Mononito Goswami and Konrad Szafer and Arjun Choudhry and Yifu Cai and Shuo Li and Artur Dubrawski},
  year = {2024},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  url = {https://proceedings.mlr.press/v235/goswami24a.html},
  volume = {235},
  pages = {16115--16152},
}

@misc{paparrizos2024survey,
  title = {{A Survey on Time-Series Distance Measures}},
  author = {John Paparrizos and Haojun Li and Fan Yang and Kaize Wu and Jens E. d'Hondt and Odysseas Papapetrou},
  year = {2024},
  url = {https://arxiv.org/abs/2412.20574},
  eprint = {2412.20574},
  archivePrefix = {arXiv},
  primaryClass = {cs.DB},
  note = {Preprint survey; checked 2026-10-29},
}

@article{dhondt2025multivariate,
  title = {{A Structured Study of Multivariate Time-Series Distance Measures}},
  author = {Jens E. d'Hondt and Haojun Li and Fan Yang and Odysseas Papapetrou and John Paparrizos},
  year = {2025},
  journal = {Proceedings of the ACM on Management of Data},
  doi = {10.1145/3725258},
  url = {https://doi.org/10.1145/3725258},
  volume = {3},
  number = {3},
  pages = {121:1--121:29},
}

@inproceedings{schaefer2025sofa,
  title = {{Fast and Exact Similarity Search in Less than a Blink of an Eye}},
  author = {Patrick Schäfer and Jakob Brand and Ulf Leser and Botao Peng and Themis Palpanas},
  year = {2025},
  booktitle = {Proceedings of the 41st IEEE International Conference on Data Engineering},
  url = {https://helios2.mi.parisdescartes.fr/~themisp/publications/icde25-sofa.pdf},
}

@inproceedings{ning2025tsrag,
  title = {{TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster}},
  author = {Kanghui Ning and Zijie Pan and Yu Liu and Yushan Jiang and James Zhang and Kashif Rasul and Anderson Schneider and Lintao Ma and Yuriy Nevmyvaka and Dongjin Song},
  year = {2025},
  booktitle = {Advances in Neural Information Processing Systems},
  url = {https://proceedings.nips.cc/paper\_files/paper/2025/hash/eed25c037bc08afcbefab6f7a6b700e0-Abstract-Conference.html},
  volume = {38},
}

@article{azzari2026tsdistances,
  title = {{Algorithm 1061: tsdistances: A High-Performance Python Library for Time Series Distances with GPU Support}},
  author = {Alberto Azzari and Andrea Cracco and Francesco Masillo and Pietro Sala},
  year = {2026},
  journal = {ACM Transactions on Mathematical Software},
  doi = {10.1145/3802579},
  url = {https://www.di.univr.it/?ent=pubbdip\&id=1192651\&lang=en},
  volume = {52},
  number = {1},
}

@article{bandt2002permutation,
  title = {{Permutation Entropy: A Natural Complexity Measure for Time Series}},
  author = {Christoph Bandt and Bernd Pompe},
  year = {2002},
  journal = {Physical Review Letters},
  doi = {10.1103/PhysRevLett.88.174102},
  url = {https://doi.org/10.1103/PhysRevLett.88.174102},
  volume = {88},
  pages = {174102},
}

@article{lin1991js,
  title = {{Divergence Measures Based on the Shannon Entropy}},
  author = {Jianhua Lin},
  year = {1991},
  journal = {IEEE Transactions on Information Theory},
  doi = {10.1109/18.61115},
  url = {https://ieeexplore.ieee.org/abstract/document/61115/authors},
  volume = {37},
  number = {1},
  pages = {145--151},
}

@article{endres2003jsmetric,
  title = {{A New Metric for Probability Distributions}},
  author = {Dominik M. Endres and Johannes E. Schindelin},
  year = {2003},
  journal = {IEEE Transactions on Information Theory},
  doi = {10.1109/TIT.2003.813506},
  url = {https://research-repository.st-andrews.ac.uk/handle/10023/1591},
  volume = {49},
  number = {7},
  pages = {1858--1860},
}