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 1871–1880 of 6748 papers

Title	Date	Tasks	Status	Score
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition	Jul 10, 2022	Activity RecognitionContrastive Learning	CodeCode Available	5
Boosting: Why You Can Use the HP Filter	May 1, 2019	Time Series Analysis	CodeCode Available	5
Anomaly detection in dynamic networks	Oct 13, 2022	Anomaly DetectionTime Series	CodeCode Available	5
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets	Nov 11, 2019	Graph EmbeddingTime Series	CodeCode Available	5
Auxiliary Quantile Forecasting with Linear Networks	Dec 5, 2022	Multi-Task LearningTime Series	CodeCode Available	5
Discrete signature and its application to finance	Dec 17, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Automatic alignment of surgical videos using kinematic data	Apr 3, 2019	Dynamic Time WarpingTime Series	CodeCode Available	5
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows	May 27, 2020	image-classificationImage Classification	CodeCode Available	5
Discovering Synchronized Subsets of Sequences: A Large Scale Solution	Jun 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series	Nov 20, 2019	Time SeriesTime Series Analysis	CodeCode Available	5

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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