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 4141–4150 of 6748 papers

Title	Date	Tasks	Status
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data	Sep 26, 2017	Bayesian InferenceClustering	—Unverified
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder	Sep 10, 2022	PathfinderTime Series	—Unverified
Symmetric thermal optimal path and time-dependent lead-lag relationship: Novel statistical tests and application to UK and US real-estate and monetary policies	Feb 24, 2018	Time SeriesTime Series Analysis	—Unverified
Symmetry-Augmented Representation for Time Series	Jan 1, 2021	ManagementTime Series	—Unverified
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models	Dec 1, 2022	Ensemble LearningTime Series Analysis	—Unverified
Symplectic Gaussian Process Regression of Hamiltonian Flow Maps	Sep 11, 2020	Numerical Integrationregression	—Unverified
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting	Jan 31, 2021	Point ProcessesTemporal Sequences	—Unverified
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation	Dec 11, 2020	Earth Observationregression	—Unverified
Synthesising a Database of Parameterised Linear and Non-Linear Invariants for Time-Series Constraints	Jan 15, 2019	Time SeriesTime Series Analysis	—Unverified
Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks	May 3, 2021	PrognosisTime Series	—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