-
1“...•The constructed networks improve the accuracy of the clustering results.•The network features reflect the information and reduce the dimension of MTS.•The...”
-
2by 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...”
-
3“...This paper deals with the factor modeling for high-dimensional time series based on a dimension-reduction viewpoint. Under stationary settings, the inference...”
-
4by 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...”
-
5“...•A new method transforms time series into network.•An improved DTW calculates the distance between each component.•The proposed clustering method with good...”
-
6by 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...”
-
7by 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...”
-
8by 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...”
-
9“...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...”
-
10by 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...”
-
11by 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...”
-
12“...Three-dimensional data are increasingly prevalent across biomedical and social domains. Notable examples are gene-sample-time, individual-feature-time, or...”
-
13by 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...”
-
14by 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...”
-
15by 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...”
-
16by 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,...”
-
17by 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...”
-
18by 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...”
-
19“...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,...”
-
20by Bringmann, Laura F Eronen, Markus I“...The network approach to psychopathology is becoming increasingly popular. The motivation for this approach is to provide a replacement for the problematic...”
edited by Holyoak, Keith J
Published in Psychological review (01.07.2018)