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 351–360 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction	Feb 9, 2020	ICU AdmissionTime Series Analysis	CodeCode Available	1	5
Bayesian hierarchical stacking: Some models are (somewhere) useful	Jan 22, 2021	Bayesian InferenceTime Series	CodeCode Available	1	5
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting	Aug 5, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling	Sep 26, 2021	Age And Gender ClassificationGender Classification	CodeCode Available	1	5
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series	Mar 3, 2021	ClusteringTime Series	CodeCode Available	1	5
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling	Dec 6, 2021	Graph LearningInductive Bias	CodeCode Available	1	5
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data	Jun 18, 2020	Causal DiscoveryTime Series	CodeCode Available	1	5
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments	Jun 26, 2021	High-Level SynthesisTime Series	CodeCode Available	1	5
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals	Jun 5, 2018	Data AugmentationEEG	CodeCode Available	1	5
Adaptive Conformal Predictions for Time Series	Feb 15, 2022	Conformal PredictionDecision Making	CodeCode Available	1	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