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 4821–4830 of 6748 papers

Title	Date	Tasks	Status
A Benchmark Study on Time Series Clustering	Apr 20, 2020	ClusteringDynamic Time Warping	—Unverified
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression	Oct 11, 2020	Dynamic Time Warpingregression	—Unverified
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0	Aug 5, 2020	Anomaly DetectionCausal Discovery	—Unverified
Accelerated solving of coupled, non-linear ODEs through LSTM-AI	Sep 11, 2020	Time SeriesTime Series Analysis	—Unverified
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes	Dec 1, 2008	Bayesian InferenceGaussian Processes	—Unverified
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning	May 24, 2022	BIG-bench Machine LearningTime Series	—Unverified
Accelerating Neural ODEs Using Model Order Reduction	May 28, 2021	modelTime Series	—Unverified
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS	Oct 19, 2015	General ClassificationTime Series	—Unverified
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification	Oct 11, 2019	Binary ClassificationGeneral Classification	—Unverified
Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences	Oct 16, 2018	ManagementTime 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