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 551–560 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction	Mar 31, 2020	Spatio-Temporal ForecastingTime Series	CodeCode Available	1	5
General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping	Jul 11, 2019	Dynamic Time WarpingNavigate	CodeCode Available	1	5
Efficient Cross-Validation of Echo State Networks	Aug 22, 2019	One-Shot LearningTime Series	CodeCode Available	1	5
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons	Feb 28, 2020	Time Series Analysis	CodeCode Available	1	5
An Open Source and Reproducible Implementation of LSTM and GRU Networks for Time Series Forecasting	Jun 22, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Transformer-based Framework for Multivariate Time Series Representation Learning	Oct 6, 2020	Computational EfficiencyGeneral Classification	CodeCode Available	1	5
Ensembles of Localised Models for Time Series Forecasting	Dec 30, 2020	ClusteringTime Series	CodeCode Available	1	5
AtsPy: Automated Time Series Forecasting in Python	May 14, 2020	SurveyTime Series	CodeCode Available	1	5
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels	Jul 12, 2022	Action DetectionActivity Detection	CodeCode Available	1	5
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification	Dec 9, 2020	Anomaly DetectionAtrial Fibrillation Detection	CodeCode Available	1	5

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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