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 4101–4110 of 6748 papers

Title	Date	Tasks	Status
Unifying Epidemic Models with Mixtures	Jan 7, 2022	Time SeriesTime Series Analysis	—Unverified
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining	Jan 25, 2025	Time SeriesTime Series Analysis	—Unverified
United States FDA drug approvals are persistent and polycyclic: Insights into economic cycles, innovation dynamics, and national policy	Dec 16, 2020	Time SeriesTime Series Analysis	—Unverified
United States Road Accident Prediction using Random Forest Predictor	Apr 28, 2025	AutoMLPrediction	—Unverified
UnitNorm: Rethinking Normalization for Transformers in Time Series	May 24, 2024	Anomaly DetectionTime Series	—Unverified
Univariate Long-Term Municipal Water Demand Forecasting	May 18, 2021	Demand ForecastingManagement	—Unverified
Universal abundance fluctuations across microbial communities, tropical forests, and urban populations	Sep 15, 2022	Time SeriesTime Series Analysis	—Unverified
Universal Adversarial Attack on Deep Learning Based Prognostics	Sep 15, 2021	Adversarial AttackDeep Learning	—Unverified
Universal Codes from Switching Strategies	Nov 26, 2013	LEMMAPrediction	—Unverified
Universal EEG Encoder for Learning Diverse Intelligent Tasks	Nov 26, 2019	EEGElectroencephalogram (EEG)	—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