Results 1 to 10 of about 20,272,779 (202)

Time Series Classification with InceptionFCN [PDF]

Sensors, 2021
Deep neural networks (DNN) have proven to be efficient in computer vision and data classification with an increasing number of successful applications. Time series classification (TSC) has been one of the challenging problems in data mining in the last ...
Saidrasul Usmankhujaev, Bunyodbek Ibrokhimov, Shokhrukh Baydadaev, Jangwoo Kwon   +3 more
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Domain Adaptation of Time Series Classification

IEEE Access
In the era of big data and the rapid development of sensor technology, the time series classification problem has become an important research direction in the field of data mining.
Xinli Wang, Rencheng Sun
doaj   +2 more sources

Time Series Classification with Shapelet and Canonical Features

Applied Sciences, 2022
Shapelet-based time series classification methods are widely adopted models for time series classification tasks. However, the high computational cost greatly limits the practicability of the Shapelet-based methods. What is more, traditional Shapelet can
Hai-Yang Liu, Zhen-Zhuo Gao, Zhi-Hai Wang, Yun-Hao Deng   +3 more
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Time series classification through visual pattern recognition

Journal of King Saud University: Computer and Information Sciences, 2022
In this paper, a new approach to time series classification is proposed. It transforms the scalar time series into a two-dimensional space of amplitude (time series values) and a change of amplitude (increment).
Agnieszka Jastrzebska
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Uncertain Time Series Classification [PDF]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Time series analysis has gained a lot of interest during the last decade with diverse applications in a large range of domains such as medicine, physic, and industry. The field of time series classification has been particularly active recently with the development of more and more efficient methods.
openaire   +1 more source

Time series classification with random temporal features

Journal of King Saud University: Computer and Information Sciences, 2023
Time series classification exists in widespread domains such as EEG/ECG classification, device anomaly detection, and speaker authentication. Although many methods have been proposed, efficient selection of intuitive temporal features to accurately ...
Cun Ji, Mingsen Du, Yanxuan Wei, Yupeng Hu, Shijun Liu, Li Pan, Xiangwei Zheng   +6 more
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Multivariate time series classification using kernel matrix

Electronics Letters, 2022
Multivariate time series (MTS) classification is a fundamental problem in time series mining, and the approach based on covariance matrix is an attractive way to solve the classification. In this study, it is noted that a traditional covariance matrix is
Jiancheng Sun, Huimin Niu, Zongqing Tu, Zhinan Wu, Si Chen   +4 more
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Meta-Feature Fusion for Few-Shot Time Series Classification

IEEE Access, 2023
Deep learning has been widely adopted for end-to-end time-series classification (TSC). However, the effectiveness of deep learning heavily relies on large-scale data.
Seo-Hyeong Park, Nur Suriza Syazwany, Sang-Chul Lee   +2 more
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Random Shapelet Forest Algorithm Embedded with Canonical Time Series Features [PDF]

Jisuanji kexue, 2022
In recent years,the research on the classification of time series has attracted more and more attention.Advanced time series classification methods are usually based on great feature representations.Shapelet refers to the discriminative subsequences in ...
GAO Zhen-zhuo, WANG Zhi-hai, LIU Hai-yang
doaj   +1 more source

Time series classification based on arima and adaboost [PDF]

MATEC Web of Conferences, 2020
In this paper, a novel time series classification approach, which using auto regressive integrated moving average model (ARIMA) features and Adaptive Boosting (AdaBoost) classifications.
Wang Jinghui, Tang Shugang
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