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 2781–2790 of 6748 papers

Title	Date	Tasks	Status
ForecastTB An R Package as a Test-Bench for Time Series Forecasting Application of Wind Speed and Solar Radiation Modeling	Apr 4, 2020	Time SeriesTime Series Analysis	—Unverified
Forecast with Forecasts: Diversity Matters	Dec 3, 2020	Computational EfficiencyDiversity	—Unverified
Foreign Exchange Market Performance: Evidence from Bivariate Time Series Approach	Aug 27, 2016	Time SeriesTime Series Analysis	—Unverified
Foreign exchange risk premia: from traditional to state-space analyses	May 25, 2016	Time SeriesTime Series Analysis	—Unverified
Forestry digital twin with machine learning in Landsat 7 data	Apr 2, 2022	BIG-bench Machine LearningTime Series	—Unverified
Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information	Jan 24, 2022	Time SeriesTime Series Analysis	—Unverified
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification	Feb 20, 2023	Time SeriesTime Series Analysis	—Unverified
Log-PDE Methods for Rough Signature Kernels	Apr 1, 2024	Time SeriesTime Series Analysis	—Unverified
Foundation Models for Time Series: A Survey	Apr 5, 2025	Anomaly DetectionSurvey	—Unverified
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning	Mar 30, 2022	Computed Tomography (CT)Deep Learning	—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