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  • Your search results: "Multivariate time series"
Showing 1 - 20 results of 1,660 for search '"Multivariate time series"', query time: 2.18s Narrow search
  • 1
    Cover Image Journal Article
    Multivariate time series clustering based on complex network
    by Li, Hailin   Liu, Zechen Published in Pattern recognition (01.07.2021)
    “...•The constructed networks improve the accuracy of the clustering results.•The network features reflect the information and reduce the dimension of MTS.•The...”
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  • 2
    Cover Image Journal Article
    NETS: Network estimation for time series
    by Barigozzi, Matteo   Brownlees, Christian Published in Journal of applied econometrics (Chichester, England) (01.04.2019)
    “...Summary We model a large panel of time series as a vector autoregression where the autoregressive matrices and the inverse covariance matrix of the system...”
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  • 3
    Cover Image Journal Article
    FACTOR MODELING FOR HIGH-DIMENSIONAL TIME SERIES: INFERENCE FOR THE NUMBER OF FACTORS
    by Clifford Lam   Qiwei Yao Published in The Annals of statistics (01.04.2012)
    “...This paper deals with the factor modeling for high-dimensional time series based on a dimension-reduction viewpoint. Under stationary settings, the inference...”
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  • 4
    Cover Image Journal Article
    Time series cluster kernels to exploit informative missingness and incomplete label information
    by Øyvind Mikalsen, Karl   Soguero-Ruiz, Cristina   Maria Bianchi, Filippo   Revhaug, Arthur   Jenssen, Robert Published in Pattern recognition (01.07.2021)
    “...•Two novel kernels for multivariate time series with missing data are proposed.•Informative missingness is exploited using mixed mode Bayesian mixture...”
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  • 5
    Cover Image Journal Article
    Multivariate time-series clustering based on component relationship networks
    by Li, Hailin   Du, Tian Published in Expert systems with applications (01.07.2021)
    “...•A new method transforms time series into network.•An improved DTW calculates the distance between each component.•The proposed clustering method with good...”
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  • 6
    Cover Image Journal Article
    Hierarchical Segment-Channel Attention Network for Explainable Multichannel Signal Classification
    by Lee, Jiyoon   Do, Hyungrok   Kwak, Mingu   Kahng, Hyungu   Kim, Seoung Bum Published in Information sciences (01.03.2021)
    “...Multichannel signal data collected from multiple sensors are widely used to monitor the status of various mechanical systems. Recently, deep neural networks...”
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  • 7
    Cover Image Journal Article
    COPAR—multivariate time series modeling using the copula autoregressive model
    by Brechmann, Eike Christian   Czado, Claudia Published in Applied stochastic models in business and industry (01.07.2015)
    “...The analysis of multivariate time series is a common problem in areas like finance and economics. The classical tools for this purpose are vector...”
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  • 8
    Cover Image Journal Article
    A multi-scale attention neural network for sensor location selection and nonlinear structural seismic response prediction
    by Li, Teng   Pan, Yuxin   Tong, Kaitai   Ventura, Carlos E   de Silva, Clarence W Published in Computers & structures (01.05.2021)
    “...•An attention neural network is proposed for nonlinear seismic response prediction.•A four-stage practical framework is established for structural health...”
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  • 9
    Cover Image Journal Article
    The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace
    by ANDREW T. STEPHEN   JEFF GALAK Published in Journal of marketing research (01.10.2012)
    “...Marketers distinguish three types of media: paid (e.g., advertising), owned (e.g., company website), and earned (e.g., publicity). The effects of paid media on...”
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  • 10
    Cover Image Journal Article
    Detecting direct causality in multivariate time series: A comparative study
    by Papana, Angeliki   Siggiridou, Elsa   Kugiumtzis, Dimitris Published in Communications in nonlinear science & numerical simulation (01.08.2021)
    “...•Partially conditioned measures are superior to other types of causality measures in both low- and high- dimensionality cases.•In total, PTENUE and PMIME are...”
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  • 11
    Cover Image Journal Article
    Comovement amongst the demand for New Zealand tourism
    by Vatsa, Puneet Published in Annals of tourism research (01.07.2020)
    “...Tourism research is replete with applications of univariate time-series decomposition techniques: multivariate frameworks have been largely ignored. In this...”
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  • 12
    Cover Image Journal Article
    Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey
    by Henriques, Rui   Madeira, Sara Published in ACM computing surveys (23.01.2019)
    “...Three-dimensional data are increasingly prevalent across biomedical and social domains. Notable examples are gene-sample-time, individual-feature-time, or...”
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  • 13
    Cover Image Journal Article
    Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
    by Faes, Luca   Marinazzo, Daniele   Stramaglia, Sebastiano Published in Entropy (Basel, Switzerland) (08.08.2017)
    “...Entropy, 19, 408 (2017) Exploiting the theory of state space models, we derive the exact expressions of the information transfer, as well as redundant and...”
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  • 14
    Cover Image Journal Article
    MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting
    by Talavera-Llames, R   Pérez-Chacón, R   Troncoso, A   Martínez-Álvarez, F Published in Neurocomputing (Amsterdam) (11.08.2019)
    “...This paper introduces a novel algorithm for big data time series forecasting. Its main novelty lies in its ability to deal with multivariate data, i.e. to...”
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  • 15
    Cover Image Journal Article
    Using multiple time series analysis for geosensor data forecasting
    by Pravilovic, Sonja   Bilancia, Massimo   Appice, Annalisa   Malerba, Donato Published in Information sciences (20.02.2017)
    “...Forecasting in geophysical time series is a challenging problem with numerous applications. The presence of correlation (i.e. spatial correlation across...”
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  • 16
    Cover Image Journal Article
    Evolving fuzzy time series for spatio-temporal forecasting in renewable energy systems
    by Severiano, Carlos A   Silva, Petrônio Cândido de Lima e   Weiss Cohen, Miri   Guimarães, Frederico Gadelha Published in Renewable energy (01.06.2021)
    “...Forecasting in Renewable Energy Systems is a challenging problem since their inputs present some uncertainties in the data distribution. On the other hand,...”
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  • 17
    Cover Image Journal Article
    A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes
    by Ki Bum Lee   Sejune Cheon   Chang Ouk Kim Published in IEEE transactions on semiconductor manufacturing (01.05.2017)
    “...Many studies on the prediction of manufacturing results using sensor signals have been conducted in the field of fault detection and classification (FDC) for...”
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  • 18
    Cover Image Journal Article
    Multivariate event time series analysis using hydrological and suspended sediment data
    by Javed, Ali   Hamshaw, Scott D   Lee, Byung Suk   Rizzo, Donna M Published in Journal of hydrology (Amsterdam) (01.02.2021)
    “...•New analysis for clustering multivariate time series for hydrological events.•Time series clustering and 2-D hysteresis provide insight into storm event...”
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  • 19
    Cover Image Journal Article
    Multistage attention network for multivariate time series prediction
    by Hu, Jun   Zheng, Wendong Published in Neurocomputing (Amsterdam) (28.03.2020)
    “...The deep learning model has been used to predict the variation rule of the target series of multivariate time series data. Based on the attention mechanism,...”
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  • 20
    Cover Image Journal Article
    Don't Blame the Model: Reconsidering the Network Approach to Psychopathology
    by Bringmann, Laura F   Eronen, Markus I
    edited by Holyoak, Keith J
    Published in Psychological review (01.07.2018)
    “...The network approach to psychopathology is becoming increasingly popular. The motivation for this approach is to provide a replacement for the problematic...”
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