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 4671–4680 of 6748 papers

Title	Date	Tasks	Status
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information	Dec 16, 2020	Feature ImportanceFriction	—Unverified
Using Synthetic Data to Improve the Long-range Forecasting of Time Series Data	Jan 1, 2021	ClusteringTime Series	—Unverified
Using Temporal and Topological Features for Intrusion Detection in Operational Networks	Jul 9, 2019	Intrusion DetectionTime Series	—Unverified
Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute	Oct 29, 2017	QuantizationTime Series	—Unverified
Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate	Jun 1, 2019	Domain AdaptationTime Series	—Unverified
Utilizing Temporal Information for Taxonomy Construction	Jan 1, 2016	Question AnsweringTime Series	—Unverified
UTSD: Unified Time Series Diffusion Model	Dec 4, 2024	Denoisingmodel	—Unverified
Vaccination strategies and transmission of COVID-19: evidence across advanced countries	Sep 14, 2021	Time SeriesTime Series Analysis	—Unverified
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry	Jul 15, 2020	modelTime Series Analysis	—Unverified
Validation Methods for Energy Time Series Scenarios from Deep Generative Models	Oct 27, 2021	Time SeriesTime Series Analysis	—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