Conference Information
LearnTeD 2023: Learning from Temporal Data
https://dsaa2023.inesctec.pt/Submission Date: |
2023-05-22 |
Notification Date: |
2023-07-17 |
Conference Date: |
2023-10-09 |
Location: |
Thessaloniki, Greece |
Viewed: 1979 Tracked: 0 Attend: 0
Call For Papers
The scope of the special session includes but is not limited to the following: Temporal data clustering Classification and regression of univariate and multivariate time series Early classification of temporal data Deep learning for temporal data Learning representation for temporal data Metric and kernel learning for temporal data Modeling temporal dependencies Time series forecasting Time series annotation, segmentation, and anomaly detection Spatial-temporal statistical analysis Functional data analysis methods Data streams Interpretable/explainable time-series analysis methods Dimensionality reduction, sparsity, algorithmic complexity, and big data challenges Benchmarking and assessment methods for temporal data Applications, including transport, urban computing, weather and climate, ecology, bio-informatics, medical, and energy consumption on temporal data
Last updated by Dou Sun in 2023-05-14
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Frontiers of Information Technology & Electronic Engineering | 2.700 | Springer |
International Journal of Computer Science and engineering Survey | AIRCC | |
International Journal of Adaptive Control and Signal Processing | 3.900 | Wiley-Blackwell |
Materials Chemistry and Physics | 4.300 | Elsevier |
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Law, Innovation and Technology | Taylor & Francis | |
IEEE Transactions on Industrial Informatics | 11.70 | IEEE |
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Ad Hoc Networks | 4.400 | Elsevier |
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