Results 11 to 20 of about 19,696,345 (257)
Pattern extraction for time-series classification [PDF]
, 2001 peer reviewedIn this paper, we propose some new tools to allow machine learning classifiers to cope with time series data. We first argue that many time-series classification problems can be solved by detecting and combining local properties or patterns ...
Geurts, Pierre, Pierre Geurts
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Time Series Classification [PDF]
Journal of Statistics Applications & Probability, 2013 Time series is an important class of temporal data objects and it can be easily obtained from scientific and financial applications. The nature time series data includes: large in data size, high dimensionality and necessary to update continuously.
M. Gabr, M., M. Fatehy, L.
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Time series clustering and classification [PDF]
, 2019 The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others.
D'Urso, Pierpaolo +2 more
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Domain Adaptation of Time Series Classification
IEEE AccessIn 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
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Classification trees for time series
Pattern Recognition, 2012 International audienceThis paper proposes an extension of classification trees to time series input variables. A new split criterion based on time series proximities is introduced.
Douzal-Chouakria, Ahlame +3 more
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Scalable and Accurate Time Series Classification
, 2022 This thesis focuses on time series classification, which aims to develop algorithms that learn to categorize temporally ordered data. It is an important area of machine learning research with a diverse range of applications, such as the classification of
AHMED SHIFAZ (11925272)
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Time Series Classification at Scale
, 2019 This thesis develops scalable algorithms and techniques to classify large amount of time series data. Nowadays, many real-world applications are generating huge amount of time series data. This wealth of data is required to create finer and more accurate
CHANG WEI TAN (6527420)
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Time Series Classification Using Images [PDF]
, 2022 This work is a contribution to the field of time series classification. We propose a novel method that transforms time series into multi-channel images, which are then classified using Convolutional Neural Networks as an at-hand classifier.
Wrzesien, Mariusz +2 more
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Classification of Stabilometric Time-Series Using an Adaptive Fuzzy Inference Neural Network System [PDF]
, 2010 Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness.
Caraça-Valente Hernández, Juan Pedro +9 more
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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.
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