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 2391–2400 of 6748 papers

Title	Date	Tasks	Status
Estimating and backtesting risk under heavy tails	Jan 25, 2022	Time SeriesTime Series Analysis	—Unverified
Estimating covariant Lyapunov vectors from data	Jul 16, 2021	Time SeriesTime Series Analysis	—Unverified
Estimating Driver Personality Traits from On-Road Driving Data	Feb 9, 2023	SensitivityTime Series	—Unverified
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs	May 2, 2018	Time SeriesTime Series Analysis	—Unverified
Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network	Sep 9, 2019	Time Series Analysis	—Unverified
Estimating information in time-varying signals	Dec 31, 2018	Time SeriesTime Series Analysis	—Unverified
Estimating Network Structure from Incomplete Event Data	Nov 7, 2018	Time SeriesTime Series Analysis	—Unverified
Challenges in Forecasting Malicious Events from Incomplete Data	Apr 6, 2020	Time SeriesTime Series Analysis	—Unverified
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network	Jan 3, 2021	Activity RecognitionHuman Activity Recognition	—Unverified
Causal Triple Attention Time Series Forecasting	Sep 29, 2021	Causal InferenceTime 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