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 2731–2740 of 6748 papers

Title	Date	Tasks	Status
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study	Jul 25, 2018	ClusteringEvent Detection	—Unverified
Forecasting Granular Audience Size for Online Advertising	Jan 8, 2019	AttributeTime Series	—Unverified
Forecasting Graph Signals with Recursive MIMO Graph Filters	Oct 27, 2022	Time SeriesTime Series Analysis	—Unverified
Forecasting high-dimensional dynamics exploiting suboptimal embeddings	Jul 2, 2019	Combinatorial OptimizationDiversity	—Unverified
Causal Inference via Kernel Deviance Measures	Apr 12, 2018	Causal DiscoveryCausal Inference	—Unverified
Forecasting in multivariate irregularly sampled time series with missing values	Apr 6, 2020	General ClassificationIrregular Time Series	—Unverified
A Novel Markov Model for Near-Term Railway Delay Prediction	May 21, 2022	Density EstimationPrediction	—Unverified
Forecasting intracranial hypertension using multi-scale waveform metrics	Feb 25, 2019	Time Series Analysis	—Unverified
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task	Apr 28, 2022	ClassificationTime Series	—Unverified
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—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