Results 41 to 50 of about 576,901 (299)
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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, 2020 Epileptic seizures are characterised by abnormal neuronal discharge, causing notable disturbances in electrical activities of the human brain. Traditional methods based on manual approaches applied in seizure detection in electroencephalograms (EEG) have
Deo, Ravinesh C. +4 more
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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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Automated classification of Persistent Scatterers Interferometry time series [PDF]
Natural Hazards and Earth System Sciences, 2013 We present a new method for the automatic classification of Persistent Scatters Interferometry (PSI) time series based on a conditional sequence of statistical tests.
M. Berti +3 more
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Anomaly Detection Algorithm Using a Hybrid Modelling Approach for Energy Consumption Time Series
, 2023 1930Many energy time series captured by real-time systems contain errors or anomalies that prevent accurate forecasts of time series evolution. However, accurate forecasting of load time series and fluctuating renewable energy feed-in as well as ...
Lenk, Steve +5 more
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Comparing Posturographic Time Series Through Events Detection
, 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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
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
doaj +1 more source
Wrapper Feature Extraction for Time Series Classification Using Singular Value Decomposition [PDF]
, 2005 Time series classification is an important aspect of time series mining. Recently, time series classification has attracted increasing interests in various domains. However, the high dimensionality property of time series makes time series classification
Hui, Zhang, Kawasaki, Saori, Tu, Bao Ho
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source