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 351–375 of 6748 papers

TitleStatusHype
BolT: Fused Window Transformers for fMRI Time Series AnalysisCode1
Self-Supervised Time Series Representation Learning via Cross Reconstruction TransformerCode1
Time Series Anomaly Detection via Reinforcement Learning-Based Model SelectionCode1
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series ForecastingCode1
Towards Space-to-Ground Data Availability for Agriculture MonitoringCode1
HARNet: A Convolutional Neural Network for Realized Volatility ForecastingCode1
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategyCode1
Discovering stochastic dynamical equations from biological time series dataCode1
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series DataCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-LevelCode1
Open challenges for Machine Learning based Early Decision-Making researchCode1
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural NetworkCode1
STD: A Seasonal-Trend-Dispersion Decomposition of Time SeriesCode1
From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecastingCode1
Scale Dependencies and Self-Similar Models with Wavelet Scattering SpectraCode1
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series DataCode1
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmarkCode1
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC AlgorithmCode1
Multi-Label Clinical Time-Series Generation via Conditional GANCode1
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftCode1
Few-Shot Forecasting of Time-Series with Heterogeneous ChannelsCode1
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learningCode1
LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial BuildingsCode1
Show:102550
← PrevPage 15 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