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 3361–3370 of 6748 papers

Title	Date	Tasks	Status
A Novel CNN-LSTM-based Approach to Predict Urban Expansion	Mar 2, 2021	Image SegmentationSemantic Segmentation	—Unverified
Interpretable Models for Understanding Immersive Simulations	Sep 24, 2019	Model SelectionTime Series	—Unverified
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks	Apr 27, 2020	Decision MakingDeep Learning	—Unverified
A Graph-constrained Changepoint Detection Approach for ECG Segmentation	Apr 24, 2020	QRS Complex DetectionTime Series	—Unverified
Interpretable Neural Networks for Panel Data Analysis in Economics	Oct 11, 2020	Time SeriesTime Series Analysis	—Unverified
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories	Oct 27, 2016	Time SeriesTime Series Analysis	—Unverified
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes	Sep 16, 2020	Time Series AnalysisVariational Inference	—Unverified
Interpretable System Identification and Long-term Prediction on Time-Series Data	Mar 2, 2023	PredictionTime Series	—Unverified
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging	May 28, 2024	State Space ModelsTime Series	—Unverified
Cats & Co: Categorical Time Series Coclustering	May 6, 2015	ClusteringModel Selection	—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