
CRAN
 Referenced in 570 articles
[sw04351]
 linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult ... homepage for further information. CRAN is a network of ftp and web servers around...

ANFIS
 Referenced in 285 articles
[sw08730]
 system implemented in the framework of adaptive networks. By using a hybrid learning procedure ... chaotic time series, all yielding remarkable results. Comparisons with artificial neural networks and earlier work...

Neural Network Toolbox
 Referenced in 178 articles
[sw07378]
 Neural Network Toolbox for applications such as data fitting, pattern recognition, clustering, timeseries prediction...

pyunicorn
 Referenced in 8 articles
[sw19314]
 Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package ... modeling from complex network theory and nonlinear time series analysis. exttt{pyunicorn} is a fully ... spatial networks, networks of interacting networks, nodeweighted statistics or network surrogates. Additionally, pyunicorn provides ... analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series. The range...

ScaLAPACK
 Referenced in 421 articles
[sw00830]
 distributed memory messagepassing MIMD computers and networks of workstations supporting parallel virtual machine ... Cray T3, IBM SP, Intel series, TM CM5, clusters of workstations, and any system ... source code for the package, testing and timing programs, prebuilt version of the library...

REVEAL
 Referenced in 29 articles
[sw36999]
 genetic networks. Trajectories, or state transition tables of Boolean nets, resemble time series of gene ... controlling each element or gene in the network. This process is unequivocal and exact...

GNAR
 Referenced in 3 articles
[sw31350]
 package GNAR: Methods for Fitting Network Time Series Models. Simulation of, and fitting models ... Generalised Network Autoregressive (GNAR) time series models which take account of network structure. Such models...

Pypsa
 Referenced in 9 articles
[sw21552]
 scale well with large networks and long time series...

Linda
 Referenced in 103 articles
[sw09427]
 distributed settings generally and on integrated network computers in particular. It differs from previous interprocess ... fully distributed in space and distributed in time; it allows distributed sharing, continuation passing ... properties and their implications, then give a series of examples. Linda presents novel implementation problems...

ordpy
 Referenced in 3 articles
[sw37285]
 essential tool for time series analysis. Beyond becoming a popular and successful technique, permutation entropy ... inspired a framework for mapping time series into symbolic sequences that triggered the development ... including an approach for creating networks from time series known as ordinal networks. Despite ... patterns, ordinal networks, and missing ordinal transitions for onedimensional (time series) and twodimensional...

rocket
 Referenced in 5 articles
[sw38157]
 random convolutional kernels. Most methods for time series classification that attain state ... have high computational complexity, requiring significant training time even for smaller datasets, and are intractable ... recent success of convolutional neural networks for time series classification, we show that simple linear...

fabisearch
 Referenced in 2 articles
[sw38226]
 Change Point Detection in HighDimensional Time Series Networks. Implementation of the Factorized Binary Search ... network (or clustering) structure of multivariate highdimensional time series. The method is motivated ... est.net(), for estimating a network between stationary multivariate time series, net.3dplot(), for plotting the estimated ... tested on simulated multivariate highdimensional time series data and fMRI data. For details...

RLDDE
 Referenced in 3 articles
[sw35866]
 delay estimator for neural networks in time series prediction. Time series prediction is traditionally handled ... linearity in the data. Neural networks are nonlinear models that are suitable to handle ... linearity in time series. When designing a neural network for prediction, two critical factors that ... affect the performance of the neural network predictor should be considered; they are namely...

GeneNet
 Referenced in 9 articles
[sw07992]
 Inferring Gene Networks. GeneNet is a package for analyzing gene expression (time series) data with...

SSE
 Referenced in 3 articles
[sw15703]
 analysis of university elearning network traffic to work out and validate the methods that ... line monitoring of selfsimilarity. Time series of network traffic analyzed are formed by registering...

DeepAR
 Referenced in 6 articles
[sw38790]
 Recurrent Networks. Probabilistic forecasting, i.e. estimating the probability distribution of a time series’ future given ... right inventory available at the right time at the right place. In this paper ... regressive recurrent network model on a large number of related time series. We demonstrate...

psychonetrics
 Referenced in 3 articles
[sw34796]
 Psychometric network models from timeseries and panel data. Researchers in the field of network ... Gaussian graphical models (GGMs)  an undirected network model of partial correlations  between observed variables ... crosssectional data or singlesubject timeseries data. This assumes that all variables...

EDISON
 Referenced in 2 articles
[sw08266]
 MCMC simulation to reconstruct networks from time series data, using a nonhomogeneous, timevarying...

NetOnZeroDXC
 Referenced in 1 article
[sw39857]
 identification of networks out of multivariate time series via zerodelay crosscorrelation. The identification ... links between nodes of a network by analyzing time series associated to those nodes ... assessment of networks out of multivariate time series. The method relies on the computation ... delay crosscorrelation between pairs of time series. The software implements the various stages...

GENeVis
 Referenced in 2 articles
[sw06743]
 visualization of gene regulatory networks with associated gene expression time series data We present GENeVis ... visualize gene expression time series data in a gene regulatory network context. This ... attribute, multiple time point visualization, and visual comparison of multiple time series in one view ... case study, in which gene expression time series data acquired inhouse are analyzed...