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 2681–2690 of 6748 papers

Title	Date	Tasks	Status
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems	Sep 15, 2020	Fault DetectionMulti-Task Learning	—Unverified
Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures	Apr 8, 2021	Feature EngineeringGeneral Classification	—Unverified
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes	Apr 22, 2021	BIG-bench Machine LearningPhysics-informed machine learning	—Unverified
Causality and Correlations between BSE and NYSE indexes: A Janus Faced Relationship	Aug 28, 2016	Time Series Analysis	—Unverified
Fitting Sparse Markov Models to Categorical Time Series Using Regularization	Feb 11, 2022	Model SelectionTime Series	—Unverified
Combining Generative and Discriminative Neural Networks for Sleep Stages Classification	Oct 6, 2016	ClassificationEEG	—Unverified
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study	Jul 25, 2018	ClusteringEvent Detection	—Unverified
Causal Inference via Kernel Deviance Measures	Apr 12, 2018	Causal DiscoveryCausal Inference	—Unverified
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data	Jan 9, 2021	Time SeriesTime Series Analysis	—Unverified
A Novel Markov Model for Near-Term Railway Delay Prediction	May 21, 2022	Density EstimationPrediction	—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