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 571–580 of 6748 papers

Title	Date	Tasks	Status	Hype
Price graphs: Utilizing the structural information of financial time series for stock prediction	Jun 4, 2021	Stock PredictionTime Series	CodeCode Available	1
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching	Jun 4, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression	Jun 3, 2021	regressionTime Series Analysis	CodeCode Available	1
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding	Jun 1, 2021	ClusteringRepresentation Learning	CodeCode Available	1
Fast, Accurate and Interpretable Time Series Classification Through Randomization	May 31, 2021	ClassificationTime Series	CodeCode Available	1
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification	May 28, 2021	EpidemiologyTime Series	CodeCode Available	1
Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection	May 28, 2021	Change Point DetectionPosition	CodeCode Available	1
Arbitrage-free neural-SDE market models	May 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Learning-based Damage Mapping with InSAR Coherence Time Series	May 24, 2021	Deep LearningTime Series	CodeCode Available	1
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.	May 21, 2021	Time SeriesTime Series Analysis	CodeCode Available	1

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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