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 951–960 of 6748 papers

Title	Date	Tasks	Status	Score
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series	Nov 4, 2021	Data IntegrationDecoder	CodeCode Available	5
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations	Jan 3, 2023	Time Series Analysis	CodeCode Available	5
Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes	May 25, 2017	Gaussian ProcessesTime Series	CodeCode Available	5
Implementing spectral methods for hidden Markov models with real-valued emissions	Apr 29, 2014	parameter estimationTime Series	CodeCode Available	5
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change	Sep 18, 2020	One-Class ClassificationTime Series Analysis	CodeCode Available	5
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls	Dec 25, 2017	Causal InferenceConformal Prediction	CodeCode Available	5
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past	Mar 11, 2022	regressionTime Series	CodeCode Available	5
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems	Aug 26, 2020	Anomaly DetectionC++ code	CodeCode Available	5
Identifying cross country skiing techniques using power meters in ski poles	Apr 23, 2019	BIG-bench Machine LearningTime Series	CodeCode Available	5
Imbedding Deep Neural Networks	Jan 31, 2022	Time SeriesTime Series Analysis	CodeCode Available	5

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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