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 61–70 of 6748 papers

Title	Date	Tasks	Status	Hype
One Fits All:Power General Time Series Analysis by Pretrained LM	Feb 23, 2023	Anomaly DetectionFew-Shot Learning	CodeCode Available	2
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models	Feb 17, 2023	DiagnosticTime Series	CodeCode Available	2
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing	Feb 9, 2023	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation	Feb 4, 2023	Deep LearningTime Series	CodeCode Available	2
LogAI: A Library for Log Analytics and Intelligence	Jan 31, 2023	Anomaly DetectionLog Parsing	CodeCode Available	2
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data	Jan 25, 2023	Causal DiscoveryCausal Inference	CodeCode Available	2
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction	Jan 19, 2023	Computational EfficiencyGraph Neural Network	CodeCode Available	2
Synthcity: facilitating innovative use cases of synthetic data in different data modalities	Jan 18, 2023	FairnessIrregular Time Series	CodeCode Available	2
ViTs for SITS: Vision Transformers for Satellite Image Time Series	Jan 12, 2023	Semantic SegmentationTime Series	CodeCode Available	2
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	Jan 8, 2023	DenoisingDisentanglement	CodeCode Available	2

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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