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LearnTeD 2023: Learning from Temporal Data

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投稿締切日:
2023-05-22
通知日:
2023-07-17
開催日:
2023-10-09
開催地:
Thessaloniki, Greece
閲覧: 7225   フォロー: 0   参加: 0

論文募集

LearnTeD 2023 (Learning from Temporal Data) is an academic conference held in Thessaloniki, Greece on 2023-10-09. The paper submission deadline is 2023-05-22. Acceptance notifications are sent on 2023-07-17.

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
最終更新：Dou Sun（）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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