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 441–450 of 6748 papers

Title	Date	Tasks	Status	Hype
Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping	Nov 26, 2021	Dynamic Time WarpingTime Series	CodeCode Available	1
Neural network stochastic differential equation models with applications to financial data forecasting	Nov 25, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
tsflex: flexible time series processing & feature extraction	Nov 24, 2021	ChunkingTime Series	CodeCode Available	1
Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic Buildings	Nov 23, 2021	BIG-bench Machine LearningDecision Making	CodeCode Available	1
Modeling Irregular Time Series with Continuous Recurrent Units	Nov 22, 2021	DecoderIrregular Time Series	CodeCode Available	1
Causal Forecasting:Generalization Bounds for Autoregressive Models	Nov 18, 2021	Learning TheoryTime Series	CodeCode Available	1
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data	Nov 16, 2021	BIG-bench Machine LearningCirculatory Failure	CodeCode Available	1
Towards Generating Real-World Time Series Data	Nov 16, 2021	DecoderGenerative Adversarial Network	CodeCode Available	1
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection	Nov 15, 2021	Anomaly DetectionTime Series	CodeCode Available	1
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation	Nov 15, 2021	Synthetic Data GenerationTime Series	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