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 401–425 of 6748 papers

TitleStatusHype
CKConv: Continuous Kernel Convolution For Sequential DataCode1
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural NetworksCode1
ClaSP - Time Series SegmentationCode1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty QuantificationCode1
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image RepresentationCode1
Generalized Classification of Satellite Image Time Series with Thermal Positional EncodingCode1
Generative adversarial networks in time series: A survey and taxonomyCode1
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware DetectionCode1
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading RulesCode1
Accelerating Recurrent Neural Networks for Gravitational Wave ExperimentsCode1
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive ModelingCode1
Arbitrage-free neural-SDE market modelsCode1
Closed-Form Diffeomorphic Transformations for Time Series AlignmentCode1
Adaptive Conformal Predictions for Time SeriesCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
DeepSITH: Efficient Learning via Decomposition of What and When Across Time ScalesCode1
HARNet: A Convolutional Neural Network for Realized Volatility ForecastingCode1
Deep Learning Statistical ArbitrageCode1
Heteroscedastic Temporal Variational Autoencoder For Irregular Time SeriesCode1
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategyCode1
Highly comparative time-series analysis: The empirical structure of time series and their methodsCode1
Deep reconstruction of strange attractors from time seriesCode1
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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