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 4991–5000 of 6748 papers

Title	Date	Tasks	Status
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids	Sep 18, 2019	Time SeriesTime Series Analysis	—Unverified
AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification	Apr 14, 2025	Contrastive LearningFew-Shot Learning	—Unverified
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression	Aug 11, 2020	regressionTime Series	—Unverified
A Kalman Filter Framework for Resolving 3D Displacement Field Time Series By Combining Multitrack Multitemporal InSAR and GNSS Horizontal Velocities	Mar 7, 2023	Time SeriesTime Series Analysis	—Unverified
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs	Feb 27, 2020	Ensemble LearningImputation	—Unverified
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting	Dec 6, 2022	DecoderInductive Bias	—Unverified
A Lane-Changing Prediction Method Based on Temporal Convolution Network	Nov 1, 2020	PredictionTime Series	—Unverified
A Langevin model for complex cardiological time series	Feb 29, 2016	modelTime Series	—Unverified
A Latent Source Model for Nonparametric Time Series Classification	Feb 14, 2013	ClassificationGeneral Classification	—Unverified
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks	Aug 1, 2018	Parameter PredictionPrediction	—Unverified

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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