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 2951–3000 of 6748 papers

TitleStatusHype
OnlineSTL: Scaling Time Series Decomposition by 100x—0
Predicting the 2020 US Presidential Election with Twitter—0
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks—0
Stock price prediction using BERT and GAN—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
Online Graph Topology Learning from Matrix-valued Time Series—0
Time Series Anomaly Detection for Smart Grids: A Survey—0
Estimating covariant Lyapunov vectors from data—0
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning—0
On the short term stability of financial ARCH price processes—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Multiplicative Error Models: 20 years on—0
Fast-Slow Streamflow Model Using Mass-Conserving LSTM—0
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series—0
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training—0
Sliding Spectrum Decomposition for Diversified Recommendation—0
Learning interaction rules from multi-animal trajectories via augmented behavioral modelsCode0
STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership PredictionCode0
Seasonal and Secular Periodicities Identified in the Dynamics of US FDA Medical Devices (1976 2020) Portends Intrinsic Industrial Transformation and Independence of Certain Crises—0
Scaled-Time-Attention Robust Edge Network—0
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets—0
A deep convolutional neural network that is invariant to time rescalingCode0
Numerical approximation of hybrid Poisson-jump Ait-Sahalia-type interest rate model with delay—0
Physics-informed generative neural network: an application to troposphere temperature prediction—0
Generation of Synthetic Multi-Resolution Time Series Load Data—0
Deep Metric Learning Model for Imbalanced Fault Diagnosis—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks—0
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit—0
Multi-modal Affect Analysis using standardized data within subjects in the Wild—0
Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts—0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification—0
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving—0
Gradient Importance Learning for Incomplete ObservationsCode0
Near-optimal inference in adaptive linear regression—0
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting—0
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
Clustering of Time Series Data with Prior Geographical Information—0
Data-driven mapping between functional connectomes using optimal transport—0
Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors—0
Wavelet Analysis of Dengue Incidence and its Correlation with Weather and Vegetation Variables in Costa Rica—0
Visual Time Series Forecasting: An Image-driven Approach—0
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments—0
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning—0
Explainable nonlinear modelling of multiple time series with invertible neural networks—0
Online learning of windmill time series using Long Short-term Cognitive Networks—0
Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data—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