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 401–410 of 6748 papers

Title	Date	Tasks	Status	Hype
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting	Feb 17, 2022	Conformal PredictionPrediction Intervals	CodeCode Available	1
Adaptive Conformal Predictions for Time Series	Feb 15, 2022	Conformal PredictionDecision Making	CodeCode Available	1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection	Feb 15, 2022	Anomaly DetectionMissing Values	CodeCode Available	1
Evaluation of post-hoc interpretability methods in time-series classification	Feb 11, 2022	ClassificationTime Series	CodeCode Available	1
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data	Feb 11, 2022	Functional ConnectivityL2 Regularization	CodeCode Available	1
Detecting Anomalies within Time Series using Local Neural Transformations	Feb 8, 2022	Anomaly DetectionEpidemiology	CodeCode Available	1
Time Series Anomaly Detection by Cumulative Radon Features	Feb 8, 2022	Anomaly DetectionTime Series	CodeCode Available	1
TACTiS: Transformer-Attentional Copulas for Time Series	Feb 7, 2022	Decision MakingDecoder	CodeCode Available	1
Structured Time Series Prediction without Structural Prior	Feb 7, 2022	Domain AdaptationPrediction	CodeCode Available	1
Advanced sleep spindle identification with neural networks	Feb 6, 2022	DiagnosticEEG	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