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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 6451–6500 of 6748 papers

TitleStatusHype
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning—0
Bayesian Neural Networks for Macroeconomic Analysis—0
Enhanced Cyber-Physical Security through Deep Learning Techniques—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms—0
Enhance the performance of navigation: A two-stage machine learning approach—0
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
Enhancing Energy System Models Using Better Load Forecasts—0
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study—0
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes—0
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method—0
Enhancing Transformer Efficiency for Multivariate Time Series Classification—0
Ensemble Committees for Stock Return Classification and Prediction—0
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Ensemble Grammar Induction For Detecting Anomalies in Time Series—0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
Ensemble of Hankel Matrices for Face Emotion Recognition—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting—0
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis—0
Entropy Analysis of Financial Time Series—0
Entropy and Transfer Entropy: The Dow Jones and the build up to the 1997 Asian Crisis—0
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing—0
Entropy-based Discovery of Summary Causal Graphs in Time Series—0
Epidemic parameters for COVID-19 in several regions of India—0
Epileptic Seizure Detection: A Deep Learning Approach—0
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture—0
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance—0
Equivalence relations and L^p distances between time series with application to the Black Summer Australian bushfires—0
Ergodic characterization of non-ergodic anomalous diffusion processes—0
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs—0
Error-bounded Approximate Time Series Joins Using Compact Dictionary Representations of Time Series—0
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks—0
Estimación del Exponente de Hurst en Flujos de Tráfico Autosimilares—0
Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines—0
Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data—0
Estimating and backtesting risk under heavy tails—0
Estimating covariant Lyapunov vectors from data—0
Estimating Driver Personality Traits from On-Road Driving Data—0
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs—0
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network—0
Estimating information in time-varying signals—0
Estimating Network Structure from Incomplete Event Data—0
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs—0
Estimating Sunlight Using GNSS Signal Strength from Smartphone—0
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods—0
Estimating the Algorithmic Complexity of Stock Markets—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