Results 41 to 50 of about 20,272,779 (202)
A Metric Learning-Based Univariate Time Series Classification Method
Information, 2020 High-dimensional time series classification is a serious problem. A similarity measure based on distance is one of the methods for time series classification.
Kuiyong Song, Nianbin Wang, Hongbin Wang
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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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Time Series Classification with Linguistic Summaries [PDF]
Advances in Intelligent Systems Research, 2015 Soft computing techniques may provide various forms of human-consistent summaries about large time series databases, e.g., linguistic summaries, frequent patterns, fuzzy IF-THEN rules. Within this research, we focus on linguistic summaries constructed as linguistically quantified propositions, that may be exemplified by ‘Among all increasing trends ...
Katarzyna Kaczmarek, Olgierd Hryniewicz
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Time series classification [PDF]
, 2022 Time series classification is a machine learning subfield with numerous real-world applications. Standard machine learning algorithms are typically not well suited to work on raw time series as the input data is, in general, temporally structured ...
Omerovic, Ajdin
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Sparseness-Optimized Feature Importance for Time Series Classification
IEEE AccessThe literature reports a wide variety of attribution methods for explaining the predictions made by time series classification (TSC) algorithms. These post-hoc explanation methods span from model-specific to agnostic procedures that operate at different ...
Isel Grau +3 more
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Time series classification in reservoir- and model-space: A comparison
, 2022 S.197-208Learning in the space of Echo State Network (ESN) output weights, i.e. model space, has achieved excellent results in time series classification, visualization and modelling.
Reinhart, René Felix +2 more
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An Effective Confidence-Based Early Classification of Time Series
IEEE Access, 2019 Early classification of time series aims to predict the class value of a sequence accurately as early as possible, not wait for the full-length data, which is significant in many time-sensitive applications and has attracted great interest in recent ...
Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
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LOMATCE: LOcal Model-Agnostic Time Series Classification Explanations
IEEE AccessDeep learning models perform exceptionally well in time series classification, but their lack of interpretability remains a significant challenge. Although explainable AI (XAI) techniques are well established for image and tabular data, adapting these ...
Ephrem Tibebe Mekonnen +2 more
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The formulation of structural time series models in discrete and continuous time [PDF]
, 1983 This paper sets out an approach for modelling univariate time series, including those in which observations are available on a daily basis. An underlying continuous time model is formulated and it is shown that this model has important implications for ...
Harvey, A. C., Harvey, Andrew C.
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