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 1631–1640 of 6748 papers

Title	Date	Tasks	Status	Score
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction	Feb 22, 2019	DecoderLink Prediction	CodeCode Available	5
Elastic Similarity and Distance Measures for Multivariate Time Series	Feb 20, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification	Nov 3, 2022	Contrastive Learningparameter estimation	CodeCode Available	5
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series	Oct 24, 2016	General ClassificationTime Series	CodeCode Available	5
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables	Aug 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series	Jan 4, 2023	Privacy PreservingTime Series	CodeCode Available	5
Elastic bands across the path: A new framework and methods to lower bound DTW	Aug 29, 2018	ClusteringDynamic Time Warping	CodeCode Available	5
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion	Jul 22, 2022	New Product Sales ForecastingTime Series	CodeCode Available	5
Efficient Matrix Profile Computation Using Different Distance Functions	Jan 17, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Accelerating Neural Architecture Search using Performance Prediction	May 30, 2017	Hyperparameter OptimizationLanguage Modeling	CodeCode Available	5

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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