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 351–360 of 6748 papers

Title	Date	Tasks	Status	Hype
catch22: CAnonical Time-series CHaracteristics	Jan 29, 2019	ClassificationClustering	CodeCode Available	1
Causal Recurrent Variational Autoencoder for Medical Time Series Generation	Jan 16, 2023	Causal InferenceDecoder	CodeCode Available	1
Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting	Sep 10, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching	Jun 4, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
Deep Time Series Forecasting with Shape and Temporal Criteria	Apr 9, 2021	Change DetectionDiversity	CodeCode Available	1
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case	Jan 23, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	1
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data	Jun 18, 2020	Causal DiscoveryTime Series	CodeCode Available	1
DeepVATS: Deep Visual Analytics for Time Series	Feb 8, 2023	Time SeriesTime Series Analysis	CodeCode Available	1
Detecting Anomalies within Time Series using Local Neural Transformations	Feb 8, 2022	Anomaly DetectionEpidemiology	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