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 2601–2610 of 6748 papers

Title	Date	Tasks	Status
Fast Partial Fourier Transform	Aug 28, 2020	Time SeriesTime Series Analysis	—Unverified
Fast Robust Methods for Singular State-Space Models	Mar 7, 2018	State Space ModelsTime Series	—Unverified
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks	Oct 4, 2022	Computational EfficiencyTime Series	—Unverified
Fast-Slow Streamflow Model Using Mass-Conserving LSTM	Jul 13, 2021	modelTime Series	—Unverified
Fast Stability Scanning for Future Grid Scenario Analysis	Dec 14, 2016	Clusteringfeature selection	—Unverified
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images	Jul 22, 2022	Time SeriesTime Series Analysis	—Unverified
Fast Training Algorithms for Deep Convolutional Fuzzy Systems with Application to Stock Index Prediction	Dec 7, 2018	Time SeriesTime Series Analysis	—Unverified
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network	Jan 23, 2022	Time SeriesTime Series Analysis	—Unverified
Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes	May 26, 2022	Gaussian ProcessesTime Series Analysis	—Unverified
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media	Apr 26, 2020	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