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 2921–2930 of 6748 papers

Title	Date	Tasks	Status
Gene Regulatory Network Inference with Latent Force Models	Oct 6, 2020	Gaussian ProcessesTime Series	—Unverified
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving	Aug 23, 2019	Autonomous DrivingAutonomous Vehicles	—Unverified
A Robust Score-Driven Filter for Multivariate Time Series	Sep 3, 2020	Time SeriesTime Series Analysis	—Unverified
A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings	Nov 1, 2021	Anomaly DetectionDynamic Time Warping	—Unverified
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis	Jun 4, 2022	Time SeriesTime Series Analysis	—Unverified
Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds	Nov 2, 2022	Dimensionality ReductionTime Series	—Unverified
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series	May 3, 2021	Deep LearningDenoising	—Unverified
Geometric feature performance under downsampling for EEG classification tasks	Feb 15, 2021	BenchmarkingClassification	—Unverified
Conditional heteroskedasticity in crypto-asset returns	Dec 24, 2018	Time SeriesTime Series Analysis	—Unverified
Fully convolutional networks for structural health monitoring through multivariate time series classification	Feb 12, 2020	General ClassificationStructural Health Monitoring	—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