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 861–870 of 6748 papers

Title	Date	Tasks	Status	Hype
Forecasting with time series imaging	Apr 17, 2019	Model SelectionTime Series	CodeCode Available	1
Efficient Optimization of Echo State Networks for Time Series Datasets	Mar 12, 2019	AstronomyBayesian Optimization	CodeCode Available	1
Learning the dynamics of technical trading strategies	Mar 6, 2019	Dimensionality ReductionTime Series	CodeCode Available	1
Adversarial Attacks on Time Series	Feb 27, 2019	ClassificationDynamic Time Warping	CodeCode Available	1
Insights into LSTM Fully Convolutional Networks for Time Series Classification	Feb 27, 2019	ClassificationGeneral Classification	CodeCode Available	1
Deep Adaptive Input Normalization for Time Series Forecasting	Feb 21, 2019	Load ForecastingTime Series	CodeCode Available	1
Structural Recurrent Neural Network for Traffic Speed Prediction	Feb 18, 2019	PredictionTime Series	CodeCode Available	1
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand Forecasting	Jan 20, 2019	Demand ForecastingSpatio-Temporal Forecasting	CodeCode Available	1
Transfer learning for time series classification	Nov 5, 2018	ClassificationDynamic Time Warping	CodeCode Available	1

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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