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 2301–2310 of 6748 papers

Title	Date	Tasks	Status
A Pattern Discovery Approach to Multivariate Time Series Forecasting	Dec 20, 2022	DiversityMultivariate Time Series Forecasting	—Unverified
Characterization of causal ancestral graphs for time series with latent confounders	Dec 15, 2021	Causal DiscoveryTime Series	—Unverified
Characterization of catastrophic instabilities: Market crashes as paradigm	Jan 22, 2018	Time Series Analysis	—Unverified
Aortic Pressure Forecasting with Deep Sequence Learning	May 12, 2020	PrognosisTime Series	—Unverified
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression	Aug 11, 2020	regressionTime Series	—Unverified
Chaotic Variational Auto encoder-based Adversarial Machine Learning	Feb 25, 2023	speech-recognitionSpeech Recognition	—Unverified
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks	Aug 17, 2019	Time SeriesTime Series Analysis	—Unverified
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection	Feb 18, 2019	Anomaly DetectionChange Point Detection	—Unverified
Chaotic Neuronal Oscillations in Spontaneous Cortical-Subcortical Networks	Jul 21, 2015	Time SeriesTime Series Analysis	—Unverified
Chaos may enhance expressivity in cerebellar granular layer	Jun 20, 2020	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