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 1751–1775 of 6748 papers

Title	Date	Tasks	Status	Score
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality	Nov 22, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Early Abandoning PrunedDTW and its application to similarity search	Oct 11, 2020	ClusteringDynamic Time Warping	CodeCode Available	5
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes	Oct 22, 2020	Anomaly DetectionTime Series	CodeCode Available	5
Edge computing on TPU for brain implant signal analysis	Feb 28, 2023	Contrastive LearningDeep Learning	CodeCode Available	5
Deep Efficient Continuous Manifold Learning for Time Series Modeling	Dec 3, 2021	Action RecognitionIrregular Time Series	CodeCode Available	5
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information	May 13, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Elastic Product Quantization for Time Series	Jan 4, 2022	QuantizationTime Series	CodeCode Available	5
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data	May 2, 2022	AstronomyImage Classification	CodeCode Available	5
Ensemble transport smoothing. Part I: Unified framework	Oct 31, 2022	Bayesian InferenceComputational Efficiency	CodeCode Available	5
Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning	Jun 8, 2020	BIG-bench Machine LearningDynamic Time Warping	CodeCode Available	5
Dynamic Time Warping based Adversarial Framework for Time-Series Domain	Jul 9, 2022	Adversarial RobustnessDynamic Time Warping	CodeCode Available	5
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series	Sep 16, 2022	Model SelectionSuper-Resolution	CodeCode Available	5
Dynamic transformation of prior knowledge into Bayesian models for data streams	Mar 13, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Agglomerative Likelihood Clustering	Aug 2, 2019	ClusteringCommunity Detection	CodeCode Available	5
Dynamic Natural Language Processing with Recurrence Quantification Analysis	Mar 19, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time	Oct 29, 2021	Super-ResolutionTime Series Analysis	CodeCode Available	5
Dynamic process fault prediction using canonical variable trend analysis	Apr 12, 2016	PredictionTime Series	CodeCode Available	5
Dynamic Virtual Graph Significance Networks for Predicting Influenza	Feb 16, 2021	Representation LearningTime Series	CodeCode Available	5
Dynamic cyber risk estimation with Competitive Quantile Autoregression	Jan 25, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Automated Deep Abstractions for Stochastic Chemical Reaction Networks	Jan 30, 2020	Time Series Analysis	CodeCode Available	5
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation	Mar 23, 2022	Earth ObservationSemantic Segmentation	CodeCode Available	5
Approximate Factor Models for Functional Time Series	Jan 7, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
DynaConF: Dynamic Forecasting of Non-Stationary Time Series	Sep 17, 2022	Deep LearningTime Series	CodeCode Available	5
DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification	Mar 1, 2021	Data AugmentationDynamic Time Warping	CodeCode Available	5
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks	Jan 19, 2021	Time SeriesTime Series Analysis	CodeCode Available	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