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 2631–2640 of 6748 papers

Title	Date	Tasks	Status
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves	Aug 19, 2021	Time SeriesTime Series Analysis	—Unverified
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs	Aug 27, 2019	Time Series AnalysisTime Series Forecasting	—Unverified
A Systematic Comparison of Forecasting for Gross Domestic Product in an Emergent Economy	Oct 26, 2020	Decision MakingState Space Models	—Unverified
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes	Jun 30, 2022	Anomaly DetectionTime Series	—Unverified
Enhancing Transformer Efficiency for Multivariate Time Series Classification	Mar 28, 2022	ClassificationTime Series	—Unverified
A Novel Method for Stock Forecasting based on Fuzzy Time Series Combined with the Longest Common/Repeated Sub-sequence	Jun 21, 2015	Time SeriesTime Series Analysis	—Unverified
Federated Reinforcement Learning at the Edge	Dec 11, 2021	reinforcement-learningReinforcement Learning	—Unverified
Federated Variational Learning for Anomaly Detection in Multivariate Time Series	Aug 18, 2021	Anomaly DetectionRepresentation Learning	—Unverified
Forecasting Realized Volatility Matrix With Copula-Based Models	Feb 20, 2020	Time SeriesTime Series Analysis	—Unverified
Causality based Feature Fusion for Brain Neuro-Developmental Analysis	Jan 22, 2020	Functional ConnectivityTime 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