Results 81 to 90 of about 20,272,779 (202)

Multidimensional time series classification with multiple attention mechanism

Complex & Intelligent Systems
The classification of multidimensional time series holds significant importance across various domains, including action classification, medical diagnosis, and credit assessment.
Chen Liu, Zihan Wei, Lixin Zhou, Ying Shao   +3 more
doaj   +1 more source

Self-Supervised Learning-Based Time Series Classification via Hierarchical Sparse Convolutional Masked-Autoencoder

IEEE Open Journal of Signal Processing
In recent years, the use of time series analysis has become widespread, prompting researchers to explore methods to improve classification. Time series self-supervised learning has emerged as a significant area of study, aiming to uncover patterns in ...
Ting Yu, Kele Xu, Xu Wang, Bo Ding, Dawei Feng   +4 more
doaj   +1 more source

Classification of Autoregressive Time Series under “Outliers”

, 2007
The problem of robust classification of autoregressive time series under “outliers” considered and the asymptotic expansion of the risk of classification is constructed in the ...
Pirshtuk, I. K.
core  

Optimal shapelets tree for time series interpretable classification

EURO Journal on Computational Optimization
Time series shapelets are a state-of-the-art data mining technique that is applied to time series supervised classification tasks. Shapelets are defined as subsequences that retain the most discriminating power contained in time series.
Lorenzo Bonasera, Stefano Gualandi
doaj   +1 more source

A Shapelet Transform Classification over Uncertain Time Series [PDF]

, 2019
A shapelet is a time-series subsequence that can represent local, phase-independent similarity in shape. Time series classification with subsequences can save computing cost, improve computing speed and improve algorithm accuracy.
Yan, Li, Ma, Ruizhe, Zuo, Liangli
core   +1 more source

Time-Series Classification: Technique Development and Empirical Evaluation

, 2002
Many interesting applications involve decision prediction based on a time-series sequence or a set of time-series sequences, which are referred to as time-series classification problems.
Yang, Ching-Ting
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Driver and Path Detection through Time-Series Classification

Journal of Advanced Transportation, 2018
Driver identification and path kind identification are becoming very critical topics given the increasing interest of automobile industry to improve driver experience and safety and given the necessity to reduce the global environmental problems.
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo   +3 more
doaj   +1 more source

Feature-based Classification of Time-series Data

, 2001
: In this paper we propose the use of statistical features for time-series classification. The classification is performed with a multi-layer perceptron (MLP) neural network.
Rob Alcock, Yannis Manolopoulos, Alex Nanopoulos   +2 more
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ARFIMA for Feature-Based Time Series Classification [PDF]

Time series classification has become one of the most important tasks in machine learning applications. It is a supervised learning task to classify classes of time series.
Pedrycz, Witold, Homenda, Wladyslaw, Sumara, Rauzan   +2 more
core  

Wind gusts prediction using multivariate time series classification

Energy and AI
Wind speed intermittency is a key challenge for integrating wind energy into the energy mix. Accurate wind power forecasting in wind farms is crucial for mitigating this issue.
D. Guijo-Rubio, A.M. Gómez-Orellana, V.M. Vargas, J. Pérez-Aracil, M. Vega-Bayo, L. Prieto-Godino, A.M. Durán-Rosal, C. Hervás-Martínez, S. Salcedo-Sanz, P.A. Gutiérrez   +9 more
doaj   +1 more source