If you use any of the code in your paper, please cite:

Entroy based algorithm (DOTS)

@Article{Benkabou2017, author="Benkabou, Seif-Eddine and Benabdeslem, Khalid and Canitia, Bruno", title="Unsupervised outlier detection for time series by entropy and dynamic time warping", journal="Knowledge and Information Systems", year="2017", month="Jun", day="08",doi="10.1007/s10115-017-1067-8", url="https://doi.org/10.1007/s10115-017-1067-8" }

Local to Global Anomaly Detection algorithms (L2GAD):

@Inbook{Benkabou2017, author="Benkabou, Seif-Eddine and Benabdeslem, Khalid and Canitia, Bruno", title="Local-to-Global Unsupervised Anomaly Detection from Temporal Data", bookTitle="Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I", year="2017", pages="762--772", doi="10.1007/978-3-319-57454-7_59",url="https://doi.org/10.1007/978-3-319-57454-7_59" }

L2-type regularization based Anomaly Detection (Ridge)

@inproceedings{DBLP:conf/ijcnn/BenkabouBC17, author = {Seif{-}Eddine Benkabou and Khalid Benabdeslem and Bruno Canitia}, title = {L2-type regularization-based unsupervised anomaly detection from temporal data}, booktitle = {2017 International Joint Conference on Neural Networks, {IJCNN} 2017, Anchorage, AK, USA, May 14-19, 2017}, pages = {2354--2361}, year = {2017}, url = {https://doi.org/10.1109/IJCNN.2017.7966141}, doi = {10.1109/IJCNN.2017.7966141},}