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 1461–1470 of 6748 papers

Title	Date	Tasks	Status	Score
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction	Nov 26, 2020	PredictionTime Series	CodeCode Available	5
Explainable time series tweaking via irreversible and reversible temporal transformations	Sep 13, 2018	General ClassificationTime Series	CodeCode Available	5
Explaining Deep Classification of Time-Series Data with Learned Prototypes	Apr 18, 2019	ClassificationDecision Making	CodeCode Available	5
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields	Jul 27, 2019	Autonomous VehiclesPrediction	CodeCode Available	5
Citation Sentiment Changes Analysis	Oct 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting	Dec 18, 2022	Load ForecastingTime 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
An Operator Theoretic Approach for Analyzing Sequence Neural Networks	Feb 15, 2021	ECG ClassificationSentiment Analysis	CodeCode Available	5
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow	Nov 8, 2018	Cardiac SegmentationGeneral Classification	CodeCode Available	5
Evolving-Graph Gaussian Processes	Jun 29, 2021	Gaussian Processesregression	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