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

Showing 59015950 of 6748 papers

TitleStatusHype
Discovering Synchronized Subsets of Sequences: A Large Scale SolutionCode0
ODE^2VAE: Deep generative second order ODEs with Bayesian neural networksCode0
ODE2VAE: Deep generative second order ODEs with Bayesian neural networksCode0
Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time SeriesCode0
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivityCode0
Split-door criterion: Identification of causal effects through auxiliary outcomesCode0
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time SeriesCode0
Hide-and-Seek Privacy ChallengeCode0
Dateformer: Time-modeling Transformer for Longer-term Series ForecastingCode0
Discovering physical concepts with neural networksCode0
On a computationally-scalable sparse formulation of the multidimensional and non-stationary maximum entropy principleCode0
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series ClassificationCode0
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data AnalysisCode0
Time-warping invariants of multidimensional time seriesCode0
timeXplain -- A Framework for Explaining the Predictions of Time Series ClassifiersCode0
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time SeriesCode0
A hybrid method of Exponential Smoothing and Recurrent Neural Networks for time series forecastingCode0
Joint Parameter Discovery and Generative Modeling of Dynamic SystemsCode0
Representation Learning with Deconvolution for Multivariate Time Series Classification and VisualizationCode0
Agglomerative Likelihood ClusteringCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
SRMD: Sparse Random Mode DecompositionCode0
Discovering patterns of online popularity from time seriesCode0
Bidirectional deep-readout echo state networksCode0
[Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-AttentionCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
SSDNet: State Space Decomposition Neural Network for Time Series ForecastingCode0
Kernel Change-point Detection with Auxiliary Deep Generative ModelsCode0
SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time SeriesCode0
SSIM -A Deep Learning Approach for Recovering Missing Time Series Sensor DataCode0
Discovering long term dependencies in noisy time series data using deep learningCode0
TiSAT: Time Series Anomaly TransformerCode0
Reservoir computing approaches for representation and classification of multivariate time seriesCode0
A Correlation Based Feature Representation for First-Person Activity RecognitionCode0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Dilated Convolutional Neural Networks for Time Series ForecastingCode0
TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNsCode0
An Information Theory Approach on Deciding Spectroscopic Follow UpsCode0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
On Improving Deep Reinforcement Learning for POMDPsCode0
A genetic algorithm to discover flexible motifs with supportCode0
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image SequencesCode0
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time seriesCode0
StackVAE-G: An efficient and interpretable model for time series anomaly detectionCode0
Beyond Sparsity: Tree Regularization of Deep Models for InterpretabilityCode0
Knowledge Enhanced Neural Fashion Trend ForecastingCode0
Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel DataCode0
Online Change Point Detection for Weighted and Directed Random Dot Product GraphsCode0
Diffeomorphic Temporal Alignment NetsCode0
The Multi-Temporal Urban Development SpaceNet DatasetCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1naive classifierF187.47Unverified
2GRU-D - APC (n = 1)F127.3Unverified
3GRU-APC (n = 1)F125.7Unverified
4GRU-DF122.5Unverified
5GRUF122.3Unverified
6GRU-SimpleF122.2Unverified
7GRU-MeanF122.1Unverified
#ModelMetricClaimedVerifiedStatus
1SepTr% Test Accuracy98.51Unverified
2ViT% Test Accuracy98.11Unverified
3FlexTCN-4% Test Accuracy97.73Unverified
4MatchboxNet% Test Accuracy97.4Unverified
5CKCNN (100k)% Test Accuracy95.27Unverified
6FlexTCN-6% Test Accuracy (Raw Data)91.73Unverified
#ModelMetricClaimedVerifiedStatus
1ResBiLSTMMAE0.13Unverified