SOTAVerified

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 2201–2250 of 6748 papers

TitleStatusHype
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data—0
Seasonality, density dependence and spatial population synchrony—0
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction—0
Economic state classification and portfolio optimisation with application to stagflationary environments—0
Cointegration of SARS-CoV-2 Transmission with Weather Conditions and Mobility during the First Year of the COVID-19 Pandemic in the United States—0
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional NetworksCode0
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis—0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
A Cellular Automaton Model for the generation of Brainwaves—0
Enhancing Transformer Efficiency for Multivariate Time Series Classification—0
Using Machine Learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan RegionCode0
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning—0
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development—0
Using Multiple Instance Learning for Explainable Solar Flare PredictionCode0
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference—0
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG—0
Rough volatility: fact or artefact?—0
Muscle Vision: Real Time Keypoint Based Pose Classification of Physical Exercises—0
Wind speed forecast using random forest learning method—0
A Deep Learning Approach to Probabilistic Forecasting of WeatherCode0
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change SegmentationCode0
Bubble Prediction of Non-Fungible Tokens (NFTs): An Empirical InvestigationCode0
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices—0
Prediction Algorithm for Heat Demand of Science and Technology Topics Based on Time Convolution Network—0
Learning latent causal relationships in multiple time series—0
Generative Adversarial Network for Future Hand Segmentation from Egocentric VideoCode0
Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset—0
Diverse Counterfactual Explanations for Anomaly Detection in Time Series—0
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series—0
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies—0
Soft Smoothness for Audio Inpainting Using a Latent Matrix Model in Delay-embedded Space—0
Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor—0
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study—0
Transfer learning for cross-modal demand prediction of bike-share and public transit—0
Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics—0
Joint Time-Vertex Fractional Fourier Transform—0
What is the best RNN-cell structure for forecasting each time series behavior?—0
Time-series image denoising of pressure-sensitive paint data by projected multivariate singular spectrum analysis—0
Reducing overestimating and underestimating volatility via the augmented blending-ARCH model—0
Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition—0
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions—0
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time SeriesCode0
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment—0
A Joint-Entropy Approach To Time-series ClassificationCode0
Dual reparametrized Variational Generative Model for Time-Series Forecasting—0
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators—0
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the PastCode0
TiSAT: Time Series Anomaly TransformerCode0
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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