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 3671–3680 of 6748 papers

Title	Date	Tasks	Status
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach	Oct 10, 2018	CPUIncremental Learning	—Unverified
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy	May 17, 2018	Demand ForecastingTime Series Analysis	—Unverified
Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400	May 20, 2021	regressionTime Series Analysis	—Unverified
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference	Mar 24, 2022	Time SeriesTime Series Analysis	—Unverified
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information	Jan 28, 2020	Time Series Analysis	—Unverified
Teaching DNNs to design fast fashion	Jun 27, 2019	Time SeriesTime Series Analysis	—Unverified
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example	May 3, 2020	Time SeriesTime Series Analysis	—Unverified
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes	Dec 18, 2020	BIG-bench Machine LearningClassification	—Unverified
Techniques for clustering interaction data as a collection of graphs	Jun 24, 2014	ClusteringCommunity Detection	—Unverified
Techniques for multifractal spectrum estimation in financial time series	Oct 22, 2016	Time SeriesTime Series Analysis	—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