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 3691–3700 of 6748 papers

Title	Date	Tasks	Status
Temporal Disaggregation of the Cumulative Grass Growth	Dec 21, 2022	Time SeriesTime Series Analysis	—Unverified
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets	Feb 18, 2015	PredictionTime Series	—Unverified
Temporal Feature Selection on Networked Time Series	Dec 20, 2016	feature selectionTime Series	—Unverified
Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration	May 9, 2020	DiagnosticRhythm	—Unverified
Temporal Graph Convolutional Networks for Automatic Seizure Detection	May 3, 2019	Inductive BiasSeizure Detection	—Unverified
Temporal Graph Signal Decomposition	Jun 25, 2021	ImputationMissing Values	—Unverified
OptStream: Releasing Time Series Privately	Aug 6, 2018	Decision MakingLoad Forecasting	—Unverified
Temporal-lobe Epilepsy: Harmonic and Anharmonic Periodicity in Microeletrode Voltage	Jan 16, 2023	RhythmTime Series	—Unverified
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data	Jan 24, 2019	Density EstimationTime Series	—Unverified
Temporally Folded Convolutional Neural Networks for Sequence Forecasting	Jan 10, 2020	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