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 1361–1370 of 6748 papers

Title	Date	Tasks	Status	Score
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	Nov 15, 2022	Graph EmbeddingPrediction	CodeCode Available	5
Factor-augmented tree ensembles	Nov 27, 2021	Ensemble Learningregression	CodeCode Available	5
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction	Jun 2, 2018	PredictionTime Series	CodeCode Available	5
Factor-Driven Two-Regime Regression	Sep 10, 2020	regressionTime Series	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
Comparing Temporal Graphs Using Dynamic Time Warping	Oct 15, 2018	Dynamic Time WarpingTime Series Analysis	CodeCode Available	5
Class-Specific Explainability for Deep Time Series Classifiers	Oct 11, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data	May 28, 2019	PredictionTime Series	CodeCode Available	5
Extracting Relationships by Multi-Domain Matching	Dec 1, 2018	Domain AdaptationTime Series	CodeCode Available	5
Fairness in Forecasting of Observations of Linear Dynamical Systems	Sep 12, 2022	FairnessTime Series	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