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 1741–1750 of 6748 papers

Title	Date	Tasks	Status
Yes, DLGM! A novel hierarchical model for hazard classification	Sep 10, 2022	ClassificationTime Series	—Unverified
In-situ animal behavior classification using knowledge distillation and fixed-point quantization	Sep 9, 2022	ClassificationKnowledge Distillation	—Unverified
Causal Modeling of Policy Interventions From Sequences of Treatments and Outcomes	Sep 9, 2022	counterfactualDecision Making	—Unverified
Valuing Players Over Time	Sep 8, 2022	Decision MakingTime Series	—Unverified
Assessing Lower Limb Strength using Internet-of-Things Enabled Chair	Sep 8, 2022	GPUTime Series	—Unverified
Reactmine: a statistical search algorithm for inferring chemical reactions from time series data	Sep 7, 2022	Time SeriesTime Series Analysis	—Unverified
Modular Federated Learning	Sep 7, 2022	Federated LearningTime Series	—Unverified
Causal discovery for time series with latent confounders	Sep 7, 2022	Causal DiscoveryTime Series	CodeCode Available
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach	Sep 6, 2022	SpecificityTime Series	—Unverified
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model	Sep 6, 2022	PrognosisTime Series	—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