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 1401–1410 of 6748 papers

Title	Date	Tasks	Status
The Functional Wiener Filter	Dec 31, 2022	Time SeriesTime Series Analysis	—Unverified
Behave-XAI: Deep Explainable Learning of Behavioral Representational Data	Dec 30, 2022	Explainable Artificial Intelligence (XAI)Time Series	—Unverified
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series	Dec 30, 2022	ClusteringSemantic Segmentation	CodeCode Available
Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters	Dec 30, 2022	Anomaly DetectionTime Series	—Unverified
Label-Efficient Interactive Time-Series Anomaly Detection	Dec 30, 2022	Active LearningAnomaly Detection	—Unverified
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals	Dec 29, 2022	Causal DiscoveryTime Series	—Unverified
Deep Temporal Contrastive Clustering	Dec 29, 2022	ClusteringContrastive Learning	—Unverified
Robustifying Markowitz	Dec 28, 2022	Time SeriesTime Series Analysis	—Unverified
Semi-supervised multiscale dual-encoding method for faulty traffic data detection	Dec 27, 2022	Time SeriesTime Series Analysis	—Unverified
Anomaly detection in laser-guided vehicles' batteries: a case study	Dec 27, 2022	Anomaly DetectionScheduling	—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