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 2826–2850 of 6748 papers

TitleStatusHype
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls—0
AMP: a new time-frequency feature extraction method for intermittent time-series data—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm—0
Conformalized density- and distance-based anomaly detection in time-series data—0
A self-organising eigenspace map for time series clustering—0
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks—0
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes—0
Configuration and Collection Factors for Side-Channel Disassembly—0
Confident Kernel Sparse Coding and Dictionary Learning—0
Confidence Interval Construction for Multivariate time series using Long Short Term Memory Network—0
A Scrambled Method of Moments—0
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation—0
Confidence-Guided Learning Process for Continuous Classification of Time Series—0
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows—0
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting—0
Fuzzy Longest Common Subsequence Matching With FCM Using R—0
ASAT: Adaptively Scaled Adversarial Training in Time Series—0
A Data-Driven Method for Recognizing Automated Negotiation Strategies—0
A Cellular Automaton Model for the generation of Brainwaves—0
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms—0
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task—0
Conditional Loss and Deep Euler Scheme for Time Series Generation—0
Show:102550
← PrevPage 114 of 270Next →
All datasetsPhysioNet Challenge 2012Speech CommandsVentilator Pressure Prediction

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