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 1181–1190 of 6748 papers

Title	Date	Tasks	Status	Score
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention	Dec 7, 2024	ECG ClassificationTime Series	CodeCode Available	5
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data	Jul 22, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
General Domain Adaptation Through Proportional Progressive Pseudo Labeling	Dec 23, 2020	Anomaly DetectionDomain Adaptation	CodeCode Available	5
AdaVol: An Adaptive Recursive Volatility Prediction Method	Jun 3, 2020	PredictionTime Series	CodeCode Available	5
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes	Dec 1, 2020	Activity RecognitionGeneral Classification	CodeCode Available	5
Asset Price Forecasting using Recurrent Neural Networks	Oct 10, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Sequence Prediction using Spectral RNNs	Dec 13, 2018	PredictionTime Series	CodeCode Available	5
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions	Jun 20, 2020	Decision MakingSequential Decision Making	CodeCode Available	5
Fully Neural Network based Model for General Temporal Point Processes	May 23, 2019	Point ProcessesTime Series	CodeCode Available	5
Forecasting the Leading Indicator of a Recession: The 10-Year minus 3-Month Treasury Yield Spread	Sep 7, 2020	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