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 1881–1890 of 6748 papers

Title	Date	Tasks	Status
Deep Symbolic Representation Learning for Heterogeneous Time-series Classification	Dec 5, 2016	ClassificationGeneral Classification	—Unverified
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors	Nov 26, 2021	Model SelectionTime Series	—Unverified
Deep Temporal Contrastive Clustering	Dec 29, 2022	ClusteringContrastive Learning	—Unverified
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain	Aug 5, 2021	energy managementLoad Forecasting	—Unverified
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network	Sep 30, 2019	Time SeriesTime Series Analysis	—Unverified
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series	Sep 21, 2021	Anomaly DetectionTime Series	—Unverified
Dimension Reduction for time series with Variational AutoEncoders	Apr 23, 2022	Dimensionality ReductionTime Series	—Unverified
A review of predictive uncertainty estimation with machine learning	Sep 17, 2022	Additive modelsquantile regression	—Unverified
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data	Oct 7, 2021	Meta-LearningTime Series	—Unverified
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression	Nov 11, 2022	regressionTime 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