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 1471–1480 of 6748 papers

Title	Date	Tasks	Status
RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education	Dec 2, 2022	Time SeriesTime Series Analysis	CodeCode Available
Clustering individuals based on multivariate EMA time-series data	Dec 2, 2022	ClusteringClustering Multivariate Time Series	—Unverified
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback	Dec 1, 2022	Activity RecognitionHuman Activity Recognition	—Unverified
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models	Dec 1, 2022	Ensemble LearningTime Series Analysis	—Unverified
Investigation of Proper Orthogonal Decomposition for Echo State Networks	Nov 30, 2022	Model Predictive ControlTime Series Analysis	—Unverified
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data	Nov 30, 2022	Time SeriesTime Series Analysis	—Unverified
Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios	Nov 30, 2022	Model Predictive ControlPrediction	—Unverified
Context-Aware Ensemble Learning for Time Series	Nov 30, 2022	Ensemble LearningTime Series	—Unverified
A minor extension of the logistic equation for growth of word counts on online media: Parametric description of diversity of growth phenomena in society	Nov 30, 2022	ArticlesDiversity	—Unverified
Predicting China's CPI by Scanner Big Data	Nov 30, 2022	Time SeriesTime 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