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 2691–2700 of 6748 papers

Title	Date	Tasks	Status
Flexible conditional density estimation for time series	Jan 23, 2023	Density Estimationregression	—Unverified
Learning Temporal Causal Sequence Relationships from Real-Time Time-Series	May 29, 2019	Anomaly DetectionTime Series	—Unverified
Flexible Transmitter Network	Apr 8, 2020	Time Series Analysis	—Unverified
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers	Oct 26, 2021	Computational Efficiencyimage-classification	—Unverified
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers	May 21, 2021	Computational Efficiencyimage-classification	—Unverified
A regression model with a hidden logistic process for feature extraction from time series	Dec 25, 2013	regressionTime Series	—Unverified
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification	Dec 13, 2018	General ClassificationLand Cover Classification	—Unverified
Flow Forecast: A deep learning for time series forecasting, classification, and anomaly detection framework built in PyTorch	Jan 18, 2021	Anomaly DetectionTime Series	—Unverified
Frequency Domain Compact 3D Convolutional Neural Networks	Jun 1, 2020	image-classificationImage Classification	—Unverified
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—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