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 3681–3690 of 6748 papers

Title	Date	Tasks	Status
Techniques for visualizing LSTMs applied to electrocardiograms	May 23, 2017	Time SeriesTime Series Analysis	—Unverified
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data	May 2, 2021	Time SeriesTime Series Analysis	—Unverified
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services	Feb 25, 2021	Anomaly ClassificationClassification	—Unverified
Telling cause from effect in deterministic linear dynamical systems	Mar 4, 2015	Causal DiscoveryCausal Inference	—Unverified
Tempered Stable Processes with Time Varying Exponential Tails	Jun 13, 2020	Time SeriesTime Series Analysis	—Unverified
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series	Jan 1, 2021	Autonomous DrivingPoint Cloud Segmentation	—Unverified
Temporal Autoencoding Improves Generative Models of Time Series	Sep 12, 2013	DenoisingTime Series	—Unverified
Temporal-Clustering Invariance in Irregular Healthcare Time Series	Apr 27, 2019	ClusteringData Augmentation	—Unverified
Temporal Clustering of Time Series via Threshold Autoregressive Models: Application to Commodity Prices	May 3, 2016	ClusteringTime Series	—Unverified
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting	Sep 1, 2022	DecoderMultivariate Time Series Forecasting	—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