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 571–580 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Efficient Optimization of Echo State Networks for Time Series Datasets	Mar 12, 2019	AstronomyBayesian Optimization	CodeCode Available	1	5
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19	Mar 8, 2022	Correlated Time Series ForecastingCOVID-19 Modelling	CodeCode Available	1	5
Federated Foundation Models on Heterogeneous Time Series	Dec 12, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1	5
Federated Learning for 5G Base Station Traffic Forecasting	Nov 28, 2022	Federated LearningManagement	CodeCode Available	1	5
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling	Dec 16, 2021	Multivariate Time Series ForecastingPrediction Intervals	CodeCode Available	1	5
Can Multimodal LLMs Perform Time Series Anomaly Detection?	Feb 25, 2025	Anomaly DetectionIrregular Time Series	CodeCode Available	1	5
Axial-LOB: High-Frequency Trading with Axial Attention	Dec 4, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
Financial time series forecasting with multi-modality graph neural network	Jan 1, 2022	Graph Neural NetworkTime Series	CodeCode Available	1	5
Backdoor Attacks on Time Series: A Generative Approach	Nov 15, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning	Apr 2, 2022	Crop ClassificationSemantic Segmentation	CodeCode Available	1	5

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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