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 4931–4940 of 6748 papers

Title	Date	Tasks	Status
ADSaS: Comprehensive Real-time Anomaly Detection System	Nov 30, 2018	Anomaly DetectionTime Series	—Unverified
Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders	Apr 11, 2019	Activity PredictionProduct Recommendation	—Unverified
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings	Aug 24, 2024	Decision MakingMixture-of-Experts	—Unverified
Advancing multivariate time series similarity assessment: an integrated computational approach	Mar 16, 2024	Decision MakingTime Series	—Unverified
Adversarial attacks against Bayesian forecasting dynamic models	Oct 20, 2021	regressionTime Series	—Unverified
Adversarial Attacks on Multivariate Time Series	Mar 31, 2020	ClassificationDynamic Time Warping	—Unverified
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces	Sep 28, 2018	Domain AdaptationTime Series Analysis	—Unverified
Adversarially learned anomaly detection for time series data	Sep 25, 2019	Anomaly DetectionTime Series	—Unverified
Adversarial Unsupervised Representation Learning for Activity Time-Series	Nov 14, 2018	Representation LearningTime Series	—Unverified
A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour	Jan 20, 2020	GPUPrediction	—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