Detecting Stress from Multivariate Time Series Data Using Topological Data Analysis

Author:

Tran Hieu VuORCID,McGregor CarolynORCID,Kennedy Paul J.ORCID

Publisher

Springer Nature Singapore

Reference38 articles.

1. Alshamrani, M.: An advanced stress detection approach based on processing data from wearable wrist devices. Int. J. Adv. Comput. Sci. Appl. 12, 399–405 (2021)

2. Boissonnat, J.D., Pritam, S.: Edge collapse and persistence of flag complexes. In: SoCG 2020–36th International Symposium on Computational Geometry (2020)

3. Carlsson, G., Zomorodian, A., Collins, A., Guibas, L.J.: Persistence barcodes for shapes. Int. J. Shape Model. 11(02), 149–187 (2005)

4. Carrière, M., Chazal, F., Ike, Y., Lacombe, T., Royer, M., Umeda, Y.: PersLay: a neural network layer for persistence diagrams and new graph topological signatures. In: International Conference on Artificial Intelligence & Statistics, pp. 2786–2796. PMLR (2020)

5. Chazal, F., Michel, B.: An introduction to topological data analysis: fundamental and practical aspects for data scientists. Front. Artif. Intell. 4, 1–28 (2021)

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