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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 3571–3580 of 6748 papers

Title	Date	Tasks	Status
STEER : Simple Temporal Regularization For Neural ODE	Dec 1, 2020	Time SeriesTime Series Analysis	—Unverified
Spatio-Temporal meets Wavelet: Disentangled Traffic Flow Forecasting via Efficient Spectral Graph Attention Network	Dec 6, 2021	Graph AttentionTime Series Analysis	—Unverified
STING: Self-attention based Time-series Imputation Networks using GAN	Sep 22, 2022	ImputationMissing Values	—Unverified
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting	Dec 4, 2021	PositionTime Series Analysis	—Unverified
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data	Jul 9, 2016	Collaborative FilteringImputation	—Unverified
Stochastic density effects on adult fish survival and implications for population fluctuations	Jan 22, 2016	Time SeriesTime Series Analysis	—Unverified
Stochastic Identification-based Active Sensing Acousto-Ultrasound SHM Using Stationary Time Series Models	Jan 26, 2022	Time SeriesTime Series Analysis	—Unverified
Stochastic modelling of non-stationary financial assets	Apr 30, 2017	Time SeriesTime Series Analysis	—Unverified
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting	Feb 1, 2021	Probabilistic Time Series ForecastingTime Series	—Unverified
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting	Apr 26, 2021	State Space ModelsTime Series	—Unverified

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified