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 4221–4230 of 6748 papers

Title	Date	Tasks	Status
Visualizing Parliamentary Speeches as Networks: the DYLEN Tool	Jun 1, 2022	Time SeriesTime Series Analysis	—Unverified
Visual Time Series Forecasting: An Image-driven Approach	Jul 2, 2021	Time SeriesTime Series Analysis	—Unverified
ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks	Oct 27, 2022	Time Series Analysis	—Unverified
Voltage Quality Time Series Classification using Convolutional Neural Network	Mar 30, 2019	ClassificationTime Series	—Unverified
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting	May 31, 2022	Decision MakingInductive Bias	—Unverified
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning	Jun 2, 2021	Time Series Analysis	—Unverified
Warped-Linear Models for Time Series Classification	Nov 24, 2017	ClassificationDynamic Time Warping	—Unverified
Warping Resilient Scalable Anomaly Detection in Time Series	Jun 12, 2019	Anomaly DetectionComputational Efficiency	—Unverified
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series	Jul 13, 2021	Time SeriesTime Series Analysis	—Unverified
Wasserstein total variation filtering	Oct 23, 2019	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