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 4321–4330 of 6748 papers

Title	Date	Tasks	Status
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM	Sep 24, 2021	Indoor LocalizationTime Series	—Unverified
Inductive Granger Causal Modeling for Multivariate Time Series	Feb 10, 2021	Time SeriesTime Series Analysis	—Unverified
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed	Apr 25, 2021	Time SeriesTime Series Analysis	—Unverified
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	Apr 9, 2020	Load ForecastingTime Series	—Unverified
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network	Jan 18, 2020	Graph Neural NetworkTime Series	—Unverified
Inference in heavy-tailed non-stationary multivariate time series	Jul 29, 2021	Time SeriesTime Series Analysis	—Unverified
Inference in mixed causal and noncausal models with generalized Student's t-distributions	Dec 3, 2020	Time Series Analysis	—Unverified
Inference in Non-stationary High-Dimensional VARs	Feb 2, 2023	Time SeriesTime Series Analysis	—Unverified
Inference of Binary Regime Models with Jump Discontinuities	Oct 23, 2019	Algorithmic TradingTime Series	—Unverified
Inference of Causal Information Flow in Collective Animal Behavior	Dec 29, 2016	Time SeriesTime Series Analysis	—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