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 6726–6748 of 6748 papers

TitleStatusHype
Sharing Features among Dynamical Systems with Beta Processes—0
Non-stationary continuous dynamic Bayesian networks—0
Discrete MDL Predicts in Total Variation—0
A Neural Implementation of the Kalman Filter—0
Time-Varying Dynamic Bayesian Networks—0
Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries—0
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
Hierarchical Fisher Kernels for Longitudinal Data—0
Using Bayesian Dynamical Systems for Motion Template Libraries—0
Non-stationary dynamic Bayesian networks—0
A Spectral Algorithm for Learning Hidden Markov Models—0
Faster Retrieval with a Two-Pass Dynamic-Time-Warping Lower BoundCode0
Stability Bounds for Non-i.i.d. Processes—0
Locality and low-dimensions in the prediction of natural experience from fMRI—0
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Bayesian Online Changepoint DetectionCode0
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow recordsCode0
A Better Alternative to Piecewise Linear Time Series SegmentationCode0
On Periodicity Detection and Structural Periodic SimilarityCode0
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter—0
Mosaic organization of DNA nucleotidesCode0
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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