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 311–320 of 6748 papers

Title	Date	Tasks	Status	Hype
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction	Jul 14, 2022	Decision MakingPrediction	CodeCode Available	1
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels	Jul 12, 2022	Action DetectionActivity Detection	CodeCode Available	1
Memory-free Online Change-point Detection: A Novel Neural Network Approach	Jul 8, 2022	Change Point DetectionTime Series	CodeCode Available	1
Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer	Jul 6, 2022	DenoisingTime Series	CodeCode Available	1
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems	Jul 6, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Contrastive One-Class Time Series Anomaly Detection	Jul 4, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
Multivariate Time Series Anomaly Detection with Few Positive Samples	Jul 2, 2022	Anomaly DetectionTime Series	CodeCode Available	1
Color-aware two-branch DCNN for efficient plant disease classification	Jun 30, 2022	3D Object DetectionClassification	CodeCode Available	1
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation	Jun 28, 2022	Data AugmentationTime Series	CodeCode Available	1
Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs	Jun 28, 2022	Time SeriesTime Series Analysis	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