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 1641–1650 of 6748 papers

Title	Date	Tasks	Status
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models	Oct 6, 2022	Deep LearningFeature Importance	CodeCode Available
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting	Oct 6, 2022	Multivariate Time Series ForecastingTime Series	—Unverified
Biological neurons act as generalization filters in reservoir computing	Oct 6, 2022	DecoderTime Series Analysis	—Unverified
Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos	Oct 5, 2022	Contact DetectionSegmentation	CodeCode Available
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series	Oct 5, 2022	AstronomyDecoder	CodeCode Available
Feature Importance for Time Series Data: Improving KernelSHAP	Oct 5, 2022	Event DetectionFeature Importance	—Unverified
The Local to Unity Dynamic Tobit Model	Oct 5, 2022	modelTime Series	—Unverified
Efficient probabilistic reconciliation of forecasts for real-valued and count time series	Oct 5, 2022	Time SeriesTime Series Analysis	—Unverified
Stock Volatility Prediction using Time Series and Deep Learning Approach	Oct 5, 2022	Deep LearningTime Series	—Unverified
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks	Oct 5, 2022	Data AugmentationGenerative Adversarial Network	—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