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 1426–1450 of 6748 papers

Title	Date	Tasks	Status	Score
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification	Jun 14, 2016	ClassificationGeneral Classification	CodeCode Available	5
Factor-Driven Two-Regime Regression	Sep 10, 2020	regressionTime Series	CodeCode Available	5
Learnable Dynamic Temporal Pooling for Time Series Classification	Apr 2, 2021	ClassificationDynamic Time Warping	CodeCode Available	5
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	Jun 29, 2021	Self-Supervised LearningTime Series	CodeCode Available	5
Learnable Path in Neural Controlled Differential Equations	Jan 11, 2023	DecoderIrregular Time Series	CodeCode Available	5
Factor-augmented tree ensembles	Nov 27, 2021	Ensemble Learningregression	CodeCode Available	5
Fairness in Forecasting of Observations of Linear Dynamical Systems	Sep 12, 2022	FairnessTime Series	CodeCode Available	5
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates	Jun 28, 2021	Depth EstimationInstance Segmentation	CodeCode Available	5
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers	Oct 2, 2022	Pose EstimationPose Tracking	CodeCode Available	5
Classification of multivariate weakly-labelled time-series with attention	Feb 16, 2021	ClassificationEEG	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data	May 28, 2019	PredictionTime Series	CodeCode Available	5
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence	Nov 11, 2022	feature selectionFunctional Connectivity	CodeCode Available	5
Applicability and interpretation of the deterministic weighted cepstral distance	Mar 8, 2018	BIG-bench Machine LearningClustering	CodeCode Available	5
Explaining Deep Classification of Time-Series Data with Learned Prototypes	Apr 18, 2019	ClassificationDecision Making	CodeCode Available	5
Explainable time series tweaking via irreversible and reversible temporal transformations	Sep 13, 2018	General ClassificationTime Series	CodeCode Available	5
Identifying Latent Stochastic Differential Equations	Jul 12, 2020	Self-Supervised LearningTime Series	CodeCode Available	5
Extracting Relationships by Multi-Domain Matching	Dec 1, 2018	Domain AdaptationTime Series	CodeCode Available	5
Few-shot human motion prediction for heterogeneous sensors	Dec 22, 2022	Few-Shot LearningHuman motion prediction	CodeCode Available	5
Classification and Feature Transformation with Fuzzy Cognitive Maps	Mar 8, 2021	ClassificationDecision Making	CodeCode Available	5
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders	Sep 7, 2018	DecoderTime Series	CodeCode Available	5
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models	Apr 4, 2025	Time SeriesTime Series Analysis	CodeCode Available	5
Learning Physical Concepts in Cyber-Physical Systems: A Case Study	Nov 28, 2021	Representation LearningTime Series Analysis	CodeCode Available	5
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure	May 1, 2019	ClusteringTime Series	CodeCode Available	5
Exoplanet Detection using Machine Learning	Nov 28, 2020	BIG-bench Machine LearningTime 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