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 81–90 of 6748 papers

Title	Date	Tasks	Status	Hype
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting	Jun 18, 2022	Graph LearningGraph Neural Network	CodeCode Available	2
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Jun 17, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2
OmniXAI: A Library for Explainable AI	Jun 1, 2022	counterfactualCounterfactual Explanation	CodeCode Available	2
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting	May 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	2
An Extensive Data Processing Pipeline for MIMIC-IV	Apr 29, 2022	modelTime Series Analysis	CodeCode Available	2
Satellite Image Time Series Analysis for Big Earth Observation Data	Apr 24, 2022	BIG-bench Machine LearningCloud Computing	CodeCode Available	2
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction	Apr 6, 2022	PredictionStock Prediction	CodeCode Available	2
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Mar 24, 2022	Representation LearningSlice Discovery	CodeCode Available	2
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data	Mar 15, 2022	BenchmarkingDomain Adaptation	CodeCode Available	2
Flowformer: Linearizing Transformers with Conservation Flows	Feb 13, 2022	D4RLOffline RL	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