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 521–530 of 6748 papers

Title	Date	Tasks	Status	Hype
Generative adversarial networks in time series: A survey and taxonomy	Jul 23, 2021	SurveyTime Series	CodeCode Available	1
Long-term series forecasting with Query Selector -- efficient model of sparse attention	Jul 19, 2021	Multivariate Time Series ForecastingTime Series	CodeCode Available	1
STRODE: Stochastic Boundary Ordinary Differential Equation	Jul 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Neural Contextual Anomaly Detection for Time Series	Jul 16, 2021	Anomaly DetectionContextual Anomaly Detection	CodeCode Available	1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks	Jul 16, 2021	Cloud RemovalEarth Observation	CodeCode Available	1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification	Jul 15, 2021	Conformal PredictionDeep Reinforcement Learning	CodeCode Available	1
Integrating LSTMs and GNNs for COVID-19 Forecasting	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Autoregressive Models with Spectral Attention	Jul 13, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results	Jul 11, 2021	Reinforcement Learning (RL)Time Series	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