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 4441–4450 of 6748 papers

Title	Date	Tasks	Status
IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation	Aug 11, 2021	Time SeriesTime Series Analysis	—Unverified
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series	Sep 29, 2021	Anomaly DetectionContrastive Learning	—Unverified
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes	Feb 23, 2015	Time SeriesTime Series Analysis	—Unverified
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability	Oct 18, 2022	image-classificationImage Classification	—Unverified
It's a super deal -- train recurrent network on noisy data and get smooth prediction free	Jun 9, 2022	PredictionTime Series	—Unverified
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]	Oct 29, 2017	PositionRecommendation Systems	—Unverified
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data	May 19, 2022	Time SeriesTime Series Analysis	—Unverified
Jerk-Aware Video Acceleration Magnification	Jun 1, 2018	Time SeriesTime Series Analysis	—Unverified
Jiffy: A Convolutional Approach to Learning Time Series Similarity	Jan 1, 2018	Representation LearningTime Series	—Unverified
Joint cardiac T_1 mapping and cardiac function estimation using a deep manifold framework	May 16, 2022	Image ReconstructionMotion Estimation	—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