LOGIC: Probabilistic Machine Learning for Time Series Classification
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9678506/9678989/09679082.pdf?arnumber=9679082
Reference25 articles.
1. The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy
2. The BOSS is concerned with time series classification in the presence of noise
3. Scalable Dictionary Classifiers for Time Series Classification
4. On time series classification with dictionary-based classifiers
5. Fast and Accurate Time Series Classification with WEASEL
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1. quant: a minimalist interval method for time series classification;Data Mining and Knowledge Discovery;2024-05-22
2. TSec: An Efficient and Effective Framework for Time Series Classification;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. Transformer and CNN Comparison for Time Series Classification Model;2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter);2023-12-11
4. Learning Local Patterns of Time Series for Anomaly Detection;ITISE 2023;2023-07-12
5. AARS: A novel adaptive archive-based efficient counting method for machine learning applications;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11
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