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 2431–2440 of 6748 papers

Title	Date	Tasks	Status
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables	Nov 20, 2018	Activity RecognitionMulti-class Classification	—Unverified
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation	Apr 30, 2020	Earth ObservationTime Series	—Unverified
Attentive Gaussian processes for probabilistic time-series generation	Feb 10, 2021	Gaussian ProcessesTime Series	—Unverified
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach	Jul 19, 2020	Anomaly DetectionFederated Learning	—Unverified
An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series	Nov 22, 2017	Time SeriesTime Series Analysis	—Unverified
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations	Dec 25, 2024	counterfactualCounterfactual Explanation	—Unverified
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models	Oct 16, 2019	Deep LearningDimensionality Reduction	—Unverified
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry	Jul 15, 2020	Deep LearningMultivariate Time Series Forecasting	—Unverified
DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis	Aug 10, 2019	SpecificityTime Series Analysis	—Unverified
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework	Dec 12, 2018	Deep LearningManagement	—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