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 3761–3770 of 6748 papers

Title	Date	Tasks	Status
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series	May 31, 2022	Anomaly DetectionTime Series	—Unverified
Robust Structured Low-Rank Approximation on the Grassmannian	Jun 12, 2015	Time SeriesTime Series Analysis	—Unverified
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks	Feb 21, 2020	Anomaly DetectionData Augmentation	—Unverified
Robust Time Series Chain Discovery with Incremental Nearest Neighbors	Nov 3, 2022	Time SeriesTime Series Analysis	—Unverified
Robust Time Series Denoising with Learnable Wavelet Packet Transform	Jun 13, 2022	DenoisingTime Series	—Unverified
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection	Jun 7, 2022	Dynamic Time WarpingOutlier Detection	—Unverified
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment	Sep 26, 2016	Computational EfficiencyEEG	—Unverified
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications	Oct 1, 2022	Activity RecognitionDensity Estimation	—Unverified
Cryptocurrency Dynamics: Rodeo or Ascot?	Mar 23, 2021	ClusteringTime Series	—Unverified
Role of assortativity in predicting burst synchronization using echo state network	Oct 11, 2021	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