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 3001–3010 of 6748 papers

Title	Date	Tasks	Status
A Data-driven Market Simulator for Small Data Environments	Jun 21, 2020	Time SeriesTime Series Analysis	—Unverified
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks	Oct 5, 2022	Data AugmentationGenerative Adversarial Network	—Unverified
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events	Jan 18, 2022	Property PredictionTime Series	—Unverified
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning	Sep 30, 2020	Asset ManagementDeep Reinforcement Learning	—Unverified
Learning low-dimensional state embeddings and metastable clusters from time series data	Jun 1, 2019	ClusteringTime Series	—Unverified
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements	Jun 21, 2022	Face DetectionObject Recognition	—Unverified
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime	Mar 30, 2020	Time SeriesTime Series Analysis	—Unverified
Differential Recurrent Neural Network and its Application for Human Activity Recognition	May 9, 2019	Activity RecognitionHuman Activity Recognition	—Unverified
Handling Missing Observations with an RNN-based Prediction-Update Cycle	Mar 22, 2021	ImputationState Estimation	—Unverified
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?	May 29, 2025	Time SeriesTime Series Analysis	—Unverified

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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