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 1776–1800 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
Agglomerative Likelihood Clustering	Aug 2, 2019	ClusteringCommunity Detection	CodeCode Available	5
Early Abandoning PrunedDTW and its application to similarity search	Oct 11, 2020	ClusteringDynamic Time Warping	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
Dynamic Natural Language Processing with Recurrence Quantification Analysis	Mar 19, 2018	Time SeriesTime Series Analysis	CodeCode Available	5
Approximate Factor Models for Functional Time Series	Jan 7, 2022	Time SeriesTime 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
Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams	Dec 6, 2021	Activity RecognitionChange Point Detection	CodeCode Available	5
DynaConF: Dynamic Forecasting of Non-Stationary Time Series	Sep 17, 2022	Deep LearningTime Series	CodeCode Available	5
Dynamic cyber risk estimation with Competitive Quantile Autoregression	Jan 25, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Spatiotemporal Attention Networks for Wind Power Forecasting	Sep 14, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series	Sep 13, 2018	Anomaly DetectionTime 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
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps	Oct 13, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model	Jul 12, 2019	Activity RecognitionFeature Engineering	CodeCode Available	5
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis	Dec 1, 2024	Computational EfficiencyPhysics-informed machine learning	CodeCode Available	5
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks	Jan 19, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features	Jul 3, 2017	DiagnosticGeneral Classification	CodeCode Available	5
Deep Learning for Predicting Asset Returns	Apr 25, 2018	Deep LearningTime Series	CodeCode Available	5
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment	May 23, 2019	Tensor DecompositionTime Series	CodeCode Available	5
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution	Nov 11, 2019	PredictionTime Series	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