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Time-series data presents limitations stemming from data quality issues, bias and vulnerabilities, and generalization problem.
An introduction to statistical modeling of extreme values
Coles, S · 2001
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The Laplace Distribution and Generalizations
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On measuring the distance between histograms
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Toward accurate dynamic time warping in linear time and space
Salvador, S. and Chan, P · 2007
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Exponential Distribution , pp. 23–43
Gupta, A., Zeng, W.-B., and Wu, Y · 2010
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Discrete probability distributions
Sinharay, S · 2010
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Chapter 2 - signal sampling and quantization
Tan, L. and Jiang, J · 2019
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A review of student’s t distribution and its generalizations
Li, R. and Nadarajah, S · 2020
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Understanding Probability and Distributions , pp. 175–223
Wiley, M. and Wiley, J. F · 2020
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Neural decoding of eeg signals with machine learning: A systematic review
Saeidi, M., Karwowski, W., Farahani, F. V., Fiok, K., Taiar, R., Hancock, P. A., and Al-Juaid, A · 2021
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A hitchhiker’s guide to structural similarity
Venkataramanan, A. K., Wu, C., Bovik, A. C., Katsavounidis, I., and Shahid, Z · 2021
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A transformer-based framework for multivariate time series representation learning
Zerveas, G., Jayaraman, S., Patel, D., Bhamidipaty, A., and Eickhoff, C · 2021
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Discrete Fourier Transforms: DtFT and DFT , pp. 65–92
Zieliński, T. P · 2021
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Time series analysis and forecasting of wind turbine data
P, S., Subhasree, V., Vondivillu, S. T., and L, S. P · 2022
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Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
Shaygan, M., Meese, C., Li, W., Zhao, X. G., and Nejad, M · 2022
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Challenges for Deep Learning , pp. 23–32
Swan, J., Nivel, E., Kant, N., Hedges, J., Atkinson, T., and Steunebrink, B · 2022
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A survey on machine learning models for financial time series forecasting
Tang, Y., Song, Z., Zhu, Y., Yuan, H., Hou, M., Ji, J., Tang, C., and Li, J · 2022
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A systematic review of time series classification techniques used in biomedical applications
A time series is worth 64 words: Long-term forecasting with transformers
Nie, Y., Nguyen, N. H., Sinthong, P., and Kalagnanam, J · 2023
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Synthetic data could be better than real data
Savage, N · 2023
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Train once and explain everywhere: Pre-training interpretable graph neural networks
Yin, J., Li, C., Yan, H., Lian, J., and Wang, S · 2023
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Are transformers effective for time series forecasting?
Zeng, A., Chen, M., Zhang, L., and Xu, Q · 2023
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Brant: Foundation model for intracranial neural signal
Zhang, D., Yuan, Z., Yang, Y., Chen, J., Wang, J., and Li, Y · 2023
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A survey of large language models, 2023
Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., Liu, P., Nie, J.-Y., and Wen, J.-R · 2023
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Wang, W. K., Chen, I., Hershkovich, L., Yang, J., Shetty, A., Singh, G., Jiang, Y., Kotla, A., Shang, J. Z., Yerrabelli, R., Roghanizad, A. R., Shandhi, M. M. H., and Dunn, J · 2022
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Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion, 2022
Yang, L. and Hong, S · 2022
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Timeclr: A self-supervised contrastive learning framework for univariate time series representation
Yang, X., Zhang, Z., and Cui, R · 2022
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Large models for time series and spatio-temporal data: A survey and outlook, 2023
Jin, M., Wen, Q., Liang, Y., Zhang, C., Xue, S., Wang, X., Zhang, J., Wang, Y., Chen, H., Li, X., Pan, S., Tseng, V. S., Zheng, Y., Chen, L., and Xiong, H · 2023
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Rethinking generalized beta family of distributions
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Time series contrastive learning with information-aware augmentations, 2023
Luo, D., Cheng, W., Wang, Y., Xu, D., Ni, J., Yu, W., Zhang, X., Liu, Y., Chen, Y., Chen, H., and Zhang, X · 2023
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A multi-scale decomposition mlp-mixer for time series analysis, 2023
Zhong, S., Song, S., Li, G., Zhuo, W., Liu, Y., and Chan, S. H. G · 2023
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Universal time-series representation learning: A survey, 2024
Trirat, P., Shin, Y., Kang, J., Nam, Y., Na, J., Bae, M., Kim, J., Kim, B., and Lee, J.-G · 2024
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Resimad: Zero-shot 3d domain transfer for autonomous driving with source reconstruction and target simulation, 2024
Zhang, B., Cai, X., Yuan, J., Yang, D., Guo, J., Yan, X., Xia, R., Shi, B., Dou, M., Chen, T., Liu, S., Yan, J., and Qiao, Y · 2024
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Development and evaluation of bidirectional lstm freeway traffic forecasting models using simulation data
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Time series analysis based on informer algorithms: A survey
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