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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4451–4500 of 6748 papers

TitleStatusHype
A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour—0
Folded Graph Signals: Sensing with Unlimited Dynamic Range—0
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network—0
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization—0
Inferring Individual Level Causal Models from Graph-based Relational Time Series—0
Human-like Time Series Summaries via Trend Utility Estimation—0
Stream-Flow Forecasting of Small Rivers Based on LSTM—0
IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach—0
For2For: Learning to forecast from forecasts—0
Relational State-Space Model for Stochastic Multi-Object Systems—0
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learningCode0
Projection assisted Dynamic Mode Decomposition of large scale data—0
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models—0
Temporally Folded Convolutional Neural Networks for Sequence Forecasting—0
Supervised Hyperalignment for multi-subject fMRI data alignment—0
Forecasting NIFTY 50 benchmark Index using Seasonal ARIMA time series models—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering—0
Data Curves Clustering Using Common Patterns Detection—0
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification—0
Biologically-Motivated Deep Learning Method using Hierarchical Competitive LearningCode0
Temporal Tensor Transformation Network for Multivariate Time Series Prediction—0
A Deep Structural Model for Analyzing Correlated Multivariate Time Series—0
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability—0
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-timeCode0
Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation—0
Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models—0
INFERENCE, PREDICTION, AND ENTROPY RATE OF CONTINUOUS-TIME, DISCRETE-EVENT PROCESSES—0
Cost-effective Interactive Attention Learning with Neural Attention ProcessCode0
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations—0
Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification—0
Learnable Group Transform For Time-SeriesCode0
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks—0
Evidence of disorientation towards immunization on online social media after contrasting political communication on vaccines. Results from an analysis of Twitter data in Italy—0
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control—0
Interpreting LSTM Prediction on Solar Flare Eruption with Time-series ClusteringCode0
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach—0
Use Short Isometric Shapelets to Accelerate Binary Time Series Classification—0
Alpha Discovery Neural Network based on Prior Knowledge—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
Evolutionary Dynamics of Investors Expectations and Market Price Movement—0
Visual Evaluation of Generative Adversarial Networks for Time Series Data—0
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction—0
On the Initialization of Long Short-Term Memory Networks—0
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction—0
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation—0
Monetary Policy and Wealth Inequalities in Great Britain: Assessing the role of unconventional policies for a decade of household data—0
Features or Shape? Tackling the False Dichotomy of Time Series Classification—0
"The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering—0
Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations—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