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 2541–2550 of 6748 papers

Title	Date	Tasks	Status
A Comparative Study of Reservoir Computing for Temporal Signal Processing	Jan 10, 2014	MemorizationTime Series	—Unverified
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport	Nov 29, 2019	Bayesian InferenceData Augmentation	—Unverified
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection	Apr 27, 2020	Anomaly DetectionGraph Neural Network	—Unverified
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems	Jan 21, 2020	Time SeriesTime Series Analysis	—Unverified
A Time Series Analysis of Emotional Loading in Central Bank Statements	Nov 26, 2019	Emotion RecognitionTime Series	—Unverified
Data-driven Air Quality Characterisation for Urban Environments: a Case Study	Dec 1, 2018	BIG-bench Machine LearningMissing Labels	—Unverified
Data Curves Clustering Using Common Patterns Detection	Jan 5, 2020	ClusteringTime Series	—Unverified
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models	Apr 17, 2020	BIG-bench Machine Learningregression	—Unverified
Analysis, Online Estimation, and Validation of a Competing Virus Model	Jan 28, 2020	Time SeriesTime Series Analysis	—Unverified
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector	Apr 25, 2017	DiversityTime Series	—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