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 1651–1660 of 6748 papers

Title	Date	Tasks	Status
Using Entropy Measures for Monitoring the Evolution of Activity Patterns	Oct 4, 2022	Time Series Analysis	—Unverified
Nonparametric and Regularized Dynamical Wasserstein Barycenters for Sequential Observations	Oct 4, 2022	Time SeriesTime Series Analysis	—Unverified
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction	Oct 4, 2022	counterfactualOpen-Ended Question Answering	—Unverified
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting	Oct 4, 2022	Multivariate Time Series ForecastingSelf-Supervised Learning	—Unverified
Public Transit Arrival Prediction: a Seq2Seq RNN Approach	Oct 4, 2022	DecoderMachine Translation	—Unverified
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks	Oct 4, 2022	Computational EfficiencyTime Series	—Unverified
Review of Clustering Methods for Functional Data	Oct 3, 2022	ClusteringTime Series	—Unverified
Combined Dynamic Virtual Spatiotemporal Graph Mapping for Traffic Prediction	Oct 3, 2022	Time SeriesTime Series Analysis	CodeCode Available
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features	Oct 3, 2022	Fault DiagnosisTime Series Analysis	—Unverified
Grouped self-attention mechanism for a memory-efficient Transformer	Oct 2, 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