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 751–760 of 6748 papers

Title	Date	Tasks	Status	Hype
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series	Jun 22, 2020	DisentanglementTime Series	CodeCode Available	1
Aligning Time Series on Incomparable Spaces	Jun 22, 2020	Dynamic Time WarpingImitation Learning	CodeCode Available	1
Predicting Temporal Sets with Deep Neural Networks	Jun 20, 2020	PredictionTime Series Analysis	CodeCode Available	1
Efficient implementations of echo state network cross-validation	Jun 19, 2020	One-Shot LearningTime Series	CodeCode Available	1
Monash University, UEA, UCR Time Series Extrinsic Regression Archive	Jun 19, 2020	BenchmarkingMissing Values	CodeCode Available	1
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting	Jun 18, 2020	ImputationMissing Values	CodeCode Available	1
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data	Jun 18, 2020	Causal DiscoveryTime Series	CodeCode Available	1
COT-GAN: Generating Sequential Data via Causal Optimal Transport	Jun 15, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Online Change Point Detection in Molecular Dynamics With Optical Random Features	Jun 15, 2020	Change Point DetectionTime Series	CodeCode Available	1
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression	Jun 15, 2020	ClusteringDecision Making	CodeCode Available	1

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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