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 3171–3180 of 6748 papers

Title	Date	Tasks	Status
Identifying Predictive Causal Factors from News Streams	Nov 1, 2019	Stock Price PredictionTime Series	—Unverified
Identifying Seizure Onset Zone from the Causal Connectivity Inferred Using Directed Information	Aug 16, 2016	Time SeriesTime Series Analysis	—Unverified
Foundation Models for Time Series: A Survey	Apr 5, 2025	Anomaly DetectionSurvey	—Unverified
Identifying the module structure of swarms using a new framework of network-based time series clustering	Mar 1, 2021	ClusteringTime Series	—Unverified
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification	Feb 20, 2023	Time SeriesTime Series Analysis	—Unverified
Composite FORCE learning of chaotic echo state networks for time-series prediction	Jul 6, 2022	Time SeriesTime Series Analysis	—Unverified
A review on outlier/anomaly detection in time series data	Feb 11, 2020	Anomaly DetectionOutlier Detection	—Unverified
Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information	Jan 24, 2022	Time SeriesTime Series Analysis	—Unverified
IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks	Sep 29, 2021	Missing ValuesTime Series	—Unverified
Forestry digital twin with machine learning in Landsat 7 data	Apr 2, 2022	BIG-bench Machine LearningTime Series	—Unverified

Show:10 25 50

← PrevPage 318 of 675Next →

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