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
Regular Time-series Generation using SGM	Jan 20, 2023	DenoisingDiversity	—Unverified
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach	Dec 1, 2007	Time SeriesTime Series Analysis	—Unverified
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting	Jun 28, 2022	Decision MakingEnsemble Learning	—Unverified
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting	Aug 20, 2020	reinforcement-learningReinforcement Learning (RL)	—Unverified
Reinforcement Learning Portfolio Manager Framework with Monte Carlo Simulation	Jul 6, 2022	Managementreinforcement-learning	—Unverified
Reinforcement Learning with Convolutional Reservoir Computing	Dec 5, 2019	reinforcement-learningReinforcement Learning	—Unverified
Wavelet analysis and energy-based measures for oil-food price relationship as a footprint of financialisation effect	Apr 24, 2021	Time SeriesTime Series Analysis	—Unverified
Relational Multi-Instance Learning for Concept Annotation from Medical Time Series	Jan 1, 2018	Time SeriesTime Series Analysis	—Unverified
Relational State-Space Model for Stochastic Multi-Object Systems	Jan 13, 2020	ObjectTime Series	—Unverified
Reliable Fleet Analytics for Edge IoT Solutions	Jan 12, 2021	BIG-bench Machine LearningDecision Making	—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