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 2461–2470 of 6748 papers

Title	Date	Tasks	Status
An Attention Free Long Short-Term Memory for Time Series Forecasting	Sep 20, 2022	PredictionTime Series	—Unverified
Decoding dynamic brain patterns from evoked responses: A tutorial on multivariate pattern analysis applied to time-series neuroimaging data	Sep 30, 2016	Brain DecodingDimensionality Reduction	—Unverified
Decoding Causality by Fictitious VAR Modeling	Nov 14, 2021	Time SeriesTime Series Analysis	—Unverified
Decision-Aware Conditional GANs for Time Series Data	Sep 26, 2020	Generative Adversarial NetworkTime Series	—Unverified
Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks	Jul 15, 2019	Time SeriesTime Series Analysis	—Unverified
Attend and Diagnose: Clinical Time Series Analysis using Attention Models	Nov 10, 2017	SandTime Series	—Unverified
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series	Jan 23, 2022	Anomaly DetectionTime Series	—Unverified
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction	Dec 23, 2019	Time SeriesTime Series Analysis	—Unverified
Decentralized Flood Forecasting Using Deep Neural Networks	Feb 6, 2019	ManagementTime Series	—Unverified
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs	Sep 17, 2022	graph constructionGraph Neural Network	—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