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 2701–2710 of 6748 papers

Title	Date	Tasks	Status
Comfort Foods and Community Connectedness: Investigating Diet Change during COVID-19 Using YouTube Videos on Twitter	May 19, 2023	NutritionTime Series Analysis	—Unverified
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention	Jun 22, 2018	General ClassificationTime Series	—Unverified
Folded Graph Signals: Sensing with Unlimited Dynamic Range	Jan 20, 2020	Graph SamplingTime Series	—Unverified
From learning gait signatures of many individuals to reconstructing gait dynamics of one single individual	May 21, 2020	Time Series Analysis	—Unverified
For2For: Learning to forecast from forecasts	Jan 14, 2020	BIG-bench Machine LearningTime Series	—Unverified
Forecastable Component Analysis (ForeCA)	May 21, 2012	Dimensionality ReductionGeneral Classification	—Unverified
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection	Jan 13, 2022	Anomaly DetectionTime Series	—Unverified
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices	Mar 21, 2022	Decision MakingTime Series	—Unverified
Comparative analysis of criteria for filtering time series of word usage frequencies	Dec 10, 2017	Stochastic OptimizationTime Series	—Unverified
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—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