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Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 5251–5300 of 6748 papers

TitleStatusHype
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data—0
Applications of shapelet transform to time series classification of earthquake, wind and wave data—0
Applications of Signature Methods to Market Anomaly Detection—0
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction—0
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data—0
Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
Approaches and Applications of Early Classification of Time Series: A Review—0
Approximate Bayes factors for unit root testing—0
Approximate Collapsed Gibbs Clustering with Expectation Propagation—0
Approximate Extraction of Late-Time Returns via Morphological Component Analysis—0
Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices—0
Approximate Newton-based statistical inference using only stochastic gradients—0
Approximating DTW with a convolutional neural network on EEG data—0
Approximation algorithms for confidence bands for time series—0
Approximation Theory of Convolutional Architectures for Time Series Modelling—0
A precise machine learning aided algorithm for land subsidence or upheave prediction from GNSS time series—0
A Predictive Autoscaler for Elastic Batch Jobs—0
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks—0
A probabilistic graphical model approach in 30 m land cover mapping with multiple data sources—0
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations—0
A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series—0
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation—0
A Quantum Field Theory of Representation Learning—0
A quantum generative model for multi-dimensional time series using Hamiltonian learning—0
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets—0
Architectural Tricks for Deep Learning in Remote Photoplethysmography—0
Are Chinese transport policies effective? A new perspective from direct pollution rebound effect, and empirical evidence from road transport sector—0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
A regression model with a hidden logistic process for feature extraction from time series—0
Are Large Language Models Useful for Time Series Data Analysis?—0
A reproduction rate which perfectly fits Covid-19—0
A restricted eigenvalue condition for unit-root non-stationary data—0
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition—0
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering—0
A Review of Changepoint Detection Models—0
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends—0
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals—0
A Review of Intelligent Practices for Irrigation Prediction—0
A Review of Mathematical and Computational Methods in Cancer Dynamics—0
A Review of Open Source Software Tools for Time Series Analysis—0
A review of predictive uncertainty estimation with machine learning—0
A review of two decades of correlations, hierarchies, networks and clustering in financial markets—0
A Review of Wind Speed and Wind Power Forecasting Techniques—0
A Review on Deep Learning in UAV Remote Sensing—0
A review on distance based time series classification—0
A review on outlier/anomaly detection in time series data—0
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47—Unverified
2GRU-D - APC (n = 1)F127.3—Unverified
3GRU-APC (n = 1)F125.7—Unverified
4GRU-DF122.5—Unverified
5GRUF122.3—Unverified
6GRU-SimpleF122.2—Unverified
7GRU-MeanF122.1—Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51—Unverified
2ViT% Test Accuracy98.11—Unverified
3FlexTCN-4% Test Accuracy97.73—Unverified
4MatchboxNet% Test Accuracy97.4—Unverified
5CKCNN (100k)% Test Accuracy95.27—Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73—Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13—Unverified