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 2851–2860 of 6748 papers

Title	Date	Tasks	Status
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation	Nov 17, 2021	parameter estimationTime Series	—Unverified
A Data-Driven Method for Recognizing Automated Negotiation Strategies	Jul 3, 2021	Feature EngineeringTime Series	—Unverified
GAGE: Geometry Preserving Attributed Graph Embeddings	Nov 3, 2020	AttributeLink Prediction	—Unverified
Gait complexity assessed by detrended fluctuation analysis is sensitive to inconsistencies in stride time series: A modeling study	Aug 14, 2020	Time SeriesTime Series Analysis	—Unverified
GalaxAI: Machine learning toolbox for interpretable analysis of spacecraft telemetry data	Aug 3, 2021	BIG-bench Machine LearningTime Series	—Unverified
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models	Jun 19, 2024	Activity RecognitionHuman Activity Recognition	—Unverified
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning	May 17, 2019	reinforcement-learningReinforcement Learning	—Unverified
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes	Dec 11, 2020	Gaussian ProcessesTime Series	—Unverified
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback	Dec 1, 2022	Activity RecognitionHuman Activity Recognition	—Unverified
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals	Sep 22, 2021	Causal Inferencecounterfactual	—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