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 101–110 of 6748 papers

Title	Date	Tasks	Status	Hype
Probabilistic Time Series Forecasting with Implicit Quantile Networks	Jul 8, 2021	Probabilistic Time Series ForecastingTime Series	CodeCode Available	2
Closed-form Continuous-time Neural Models	Jun 25, 2021	FormSentiment Analysis	CodeCode Available	2
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Jun 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	2
AST: Audio Spectrogram Transformer	Apr 5, 2021	Audio ClassificationAudio Tagging	CodeCode Available	2
Neural SDEs as Infinite-Dimensional GANs	Feb 6, 2021	Time SeriesTime Series Analysis	CodeCode Available	2
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Jan 28, 2021	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	2
Conformal prediction interval for dynamic time-series	Oct 18, 2020	Conformal PredictionEnsemble Learning	CodeCode Available	2
Deep learning for time series classification	Oct 1, 2020	Activity RecognitionClassification	CodeCode Available	2
TODS: An Automated Time Series Outlier Detection System	Sep 18, 2020	Outlier DetectionTime Series	CodeCode Available	2
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks	Sep 16, 2020	Anomaly DetectionBenchmarking	CodeCode Available	2

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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