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 2831–2840 of 6748 papers

Title	Date	Tasks	Status
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm	Apr 12, 2022	Brain Computer InterfaceDecoder	—Unverified
Conformalized density- and distance-based anomaly detection in time-series data	Aug 16, 2016	Anomaly DetectionIntrusion Detection	—Unverified
A self-organising eigenspace map for time series clustering	May 14, 2019	ClusteringTime Series	—Unverified
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks	Apr 21, 2022	Time SeriesTime Series Analysis	—Unverified
Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes	May 30, 2019	Change Point DetectionGaussian Processes	—Unverified
Configuration and Collection Factors for Side-Channel Disassembly	Apr 10, 2022	Side Channel AnalysisTime Series	—Unverified
Confident Kernel Sparse Coding and Dictionary Learning	Mar 12, 2019	Dictionary LearningTime Series	—Unverified
Confidence Interval Construction for Multivariate time series using Long Short Term Memory Network	Nov 25, 2022	Time SeriesTime Series Analysis	—Unverified
A Scrambled Method of Moments	Nov 20, 2019	Time SeriesTime Series Analysis	—Unverified
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation	Feb 23, 2022	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