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 321–330 of 6748 papers

Title	Date	Tasks	Status	Hype
Continual Transformers: Redundancy-Free Attention for Online Inference	Jan 17, 2022	Action DetectionAudio Classification	CodeCode Available	1
Continuous Latent Process Flows	Jun 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series	Oct 21, 2023	Contrastive LearningEEG	CodeCode Available	1
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware	Jul 8, 2021	Question AnsweringTime Series	CodeCode Available	1
Contrastive Neural Processes for Self-Supervised Learning	Oct 24, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Convolutional Radio Modulation Recognition Networks	Feb 12, 2016	General ClassificationTime Series	CodeCode Available	1
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping	Jun 12, 2023	Correlated Time Series ForecastingRepresentation Learning	CodeCode Available	1
Conformal Time-series Forecasting	Dec 1, 2021	Conformal PredictionDecision Making	CodeCode Available	1
COT-GAN: Generating Sequential Data via Causal Optimal Transport	Jun 15, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Can Multimodal LLMs Perform Time Series Anomaly Detection?	Feb 25, 2025	Anomaly DetectionIrregular Time Series	CodeCode Available	1

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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