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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 1901–1950 of 6748 papers

TitleStatusHype
Inferential Theory for Granular Instrumental Variables in High Dimensions—0
Predicting waves in fluids with deep neural network—0
SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window TransformersCode1
Continual Transformers: Redundancy-Free Attention for Online InferenceCode1
Improving the quality control of seismic data through active learning—0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts—0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
Fractional SDE-Net: Generation of Time Series Data with Long-term Memory—0
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms—0
Time Series Generation with Masked AutoencoderCode1
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique—0
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction—0
An efficient aggregation method for the symbolic representation of temporal dataCode1
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction—0
A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian MutationCode0
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series ForecastingCode1
Recursive Least Squares Policy Control with Echo State Network—0
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection—0
Privacy Amplification by Subsampling in Time Domain—0
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial NetworksCode0
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models—0
Cognitive forces shape the dynamics of word usage across multiple languages—0
Generative time series models using Neural ODE in Variational AutoencodersCode1
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?—0
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019—0
Application of Common Spatial Patterns in Gravitational Waves Detection—0
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?—0
Data-driven approach in a compartmental epidemic model to assess undocumented infectionsCode0
A machine learning search for optimal GARCH parameters—0
OPP-Miner: Order-preserving sequential pattern mining—0
Weak Supervision for Affordable Modeling of Electrocardiogram Data—0
Causal Discovery from Sparse Time-Series Data Using Echo State Network—0
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity DemandCode0
Unifying Epidemic Models with Mixtures—0
Bayesian Online Change Point Detection for Baseline Shifts—0
An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System—0
Detecting CAN Masquerade Attacks with Signal Clustering Similarity—0
Applications of Signature Methods to Market Anomaly Detection—0
Churn prediction in online gambling—0
Approximate Factor Models for Functional Time SeriesCode0
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey—0
Second-Order Ultrasound Elastography with L1-norm Spatial Regularization—0
Bitcoin Price Predictive Modeling Using Expert Correction—0
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics—0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting—0
Sales Time Series Analytics Using Deep Q-Learning—0
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Towards Similarity-Aware Time-Series ClassificationCode1
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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