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 1626–1650 of 6748 papers

Title	Date	Tasks	Status	Score
Data Consistency Approach to Model Validation	Aug 17, 2018	modelTime Series	CodeCode Available	5
Path Imputation Strategies for Signature Models of Irregular Time Series	May 25, 2020	ImputationIrregular Time Series	CodeCode Available	5
Path Signature Area-Based Causal Discovery in Coupled Time Series	Oct 23, 2021	Causal DiscoveryGraph structure learning	CodeCode Available	5
Enhancing Identification of Structure Function of Academic Articles Using Contextual Information	Nov 28, 2021	ArticlesDeep Learning	CodeCode Available	5
Bayesian nonparametric discontinuity design	Nov 15, 2019	Causal InferenceExperimental Design	CodeCode Available	5
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series	Nov 3, 2024	Data IntegrationFeature Engineering	CodeCode Available	5
Data-driven detrending of nonstationary fractal time series with echo state networks	Oct 24, 2015	Time SeriesTime Series Analysis	CodeCode Available	5
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images	Jun 5, 2019	Activity RecognitionDeep Learning	CodeCode Available	5
Ensemble Sales Forecasting Study in Semiconductor Industry	Apr 28, 2017	CPUTime Series Analysis	CodeCode Available	5
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices	Apr 10, 2019	ClusteringDimensionality Reduction	CodeCode Available	5
Pooled Motion Features for First-Person Videos	Dec 19, 2014	Activity RecognitionActivity Recognition In Videos	CodeCode Available	5
Estimating Vector Fields from Noisy Time Series	Dec 6, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series	Oct 24, 2016	General ClassificationTime Series	CodeCode Available	5
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping	Jan 30, 2019	ClassificationCrop Classification	CodeCode Available	5
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation	Oct 1, 2021	FormMeta-Learning	CodeCode Available	5
Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural Networks	Jul 17, 2025	Time Series Analysis	CodeCode Available	5
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification	Nov 3, 2022	Contrastive Learningparameter estimation	CodeCode Available	5
Data Augmentation for Generating Synthetic Electrogastrogram Time Series	Mar 4, 2023	Data AugmentationDiversity	CodeCode Available	5
Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning	Aug 3, 2016	Dictionary LearningGeneral Classification	CodeCode Available	5
End-to-end learning of energy-based representations for irregularly-sampled signals and images	Oct 1, 2019	Earth ObservationTime Series	CodeCode Available	5
Elastic Product Quantization for Time Series	Jan 4, 2022	QuantizationTime Series	CodeCode Available	5
Elastic bands across the path: A new framework and methods to lower bound DTW	Aug 29, 2018	ClusteringDynamic Time Warping	CodeCode Available	5
Elastic Similarity and Distance Measures for Multivariate Time Series	Feb 20, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables	Aug 3, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Accelerating Neural Architecture Search using Performance Prediction	May 30, 2017	Hyperparameter OptimizationLanguage Modeling	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