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 3851–3860 of 6748 papers

Title	Date	Tasks	Status
Self-supervised learning for fast and scalable time series hyper-parameter tuning	Feb 10, 2021	Self-Supervised LearningTime Series	—Unverified
Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution	Oct 29, 2022	Decision MakingFuture prediction	—Unverified
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets	May 26, 2022	Dimensionality ReductionRepresentation Learning	—Unverified
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning	Sep 12, 2022	Deep Reinforcement LearningEfficient Exploration	—Unverified
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection	May 17, 2019	Anomaly DetectionDiagnostic	—Unverified
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences	Aug 29, 2022	Temporal SequencesTime Series	—Unverified
Semantic of Cloud Computing services for Time Series workflows	Feb 1, 2022	Cloud ComputingTime Series	—Unverified
Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems	Feb 21, 2016	Anomaly DetectionTime Series	—Unverified
Semimartingale and continuous-time Markov chain approximation for rough stochastic local volatility models	Oct 15, 2021	CPUTime Series	—Unverified
Semi-metric portfolio optimization: a new algorithm reducing simultaneous asset shocks	Jan 26, 2020	EconometricsManagement	—Unverified

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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