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 861–870 of 6748 papers

Title	Date	Tasks	Status	Hype
Spacecraft Anomaly Detection with Attention Temporal Convolution Network	Mar 13, 2023	Anomaly DetectionGraph Attention	CodeCode Available	1
Space-Time-Separable Graph Convolutional Network for Pose Forecasting	Oct 9, 2021	Human Pose ForecastingSTS	CodeCode Available	1
Spatiotemporal information conversion machine for time-series prediction	Jul 3, 2021	Causal InferencePrediction	CodeCode Available	1
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	Sep 14, 2017	Time SeriesTime Series Analysis	CodeCode Available	1
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting	Nov 27, 2022	DecoderGraph Learning	CodeCode Available	1
Spatio-Temporal Momentum: Jointly Learning Time-Series and Cross-Sectional Strategies	Feb 20, 2023	Time SeriesTime Series Analysis	CodeCode Available	1
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction	Sep 4, 2021	Time Series Analysis	CodeCode Available	1
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures	Aug 29, 2022	Graph Neural NetworkMultivariate Time Series Forecasting	CodeCode Available	1
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	Mar 4, 2018	Audio SynthesisLanguage Modelling	CodeCode Available	1
Deeptime: a Python library for machine learning dynamical models from time series data	Oct 28, 2021	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