Results 31 to 40 of about 20,272,779 (202)
Deep Temporal Convolution Network for Time Series Classification
Sensors, 2021 A neural network that matches with a complex data function is likely to boost the classification performance as it is able to learn the useful aspect of the highly varying data.
Bee Hock David Koh +4 more
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Time series classification for varying length series
CoRR, 2019 Research into time series classification has tended to focus on the case of series of uniform length. However, it is common for real-world time series data to have unequal lengths. Differing time series lengths may arise from a number of fundamentally different mechanisms.
Chang Wei Tan +3 more
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Comparing Posturographic Time Series Through Events Detection [PDF]
, 2008 The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series ...
Caraça-Valente Hernández, Juan Pedro +9 more
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LA-ESN: A Novel Method for Time Series Classification
Information, 2023 Time-series data is an appealing study topic in data mining and has a broad range of applications. Many approaches have been employed to handle time series classification (TSC) challenges with promising results, among which deep neural network methods ...
Hui Sheng +5 more
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Skewed Time Series Classification Algorithm Based on Persistent Homology [PDF]
Jisuanji gongchengTo address the limitations of traditional time series classification algorithms to extract high-dimensional topological information and temporal sequence information, this paper proposes a skewed time series classification algorithm based on persistent ...
YAN Yinkai, PENG Ningning, YI Lisha
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IEEE AccessIn this paper, we address the problem of improving time-series classification performance in graph environments. With the recent increase in graph analytics, many studies analyzing time-series within the graph domain have been introduced.
Sanghun Lee +2 more
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W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets
Sensors, 2021 Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes ...
Kenan Li +9 more
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Comparative analysis of machine learning classification оf time series with fractal properties [PDF]
, 2019 The article analyses the classification of time series according to their fractal properties by machine learning. The classification was carried out using neural networks and the random forest method. Objects were the model fractal time series with given
Kirichenko, L. +2 more
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Topological Time-series Classification
, 2022 We establish a strong connection between Topological Data Analysis (TDA)and the field of time-series classification. This is accomplished via two novel contri- butions.
Collins, Joseph Robert
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Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification
SensorsTime series data are prevalent in diverse fields such as manufacturing and sensor-based human activity recognition. In real-world applications, these data are often collected with variable sample lengths, which can pose challenges for classification ...
Hyeonsu Lee, Dongmin Shin
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