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 1621–1630 of 6748 papers

Title	Date	Tasks	Status
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing	Oct 13, 2022	regressionTime Series	—Unverified
Anomaly detection in dynamic networks	Oct 13, 2022	Anomaly DetectionTime Series	CodeCode Available
Early Discovery of Disappearing Entities in Microblogs	Oct 13, 2022	Time SeriesTime Series Analysis	—Unverified
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients	Oct 12, 2022	Time SeriesTime Series Analysis	—Unverified
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks	Oct 12, 2022	Time SeriesTime Series Analysis	—Unverified
Combining datasets to increase the number of samples and improve model fitting	Oct 11, 2022	ImputationTime Series Analysis	CodeCode Available
Class-Specific Explainability for Deep Time Series Classifiers	Oct 11, 2022	Time SeriesTime Series Analysis	CodeCode Available
Short-term prediction of stream turbidity using surrogate data and a meta-model approach	Oct 11, 2022	Additive modelsManagement	—Unverified
Self-explaining Hierarchical Model for Intraoperative Time Series	Oct 10, 2022	modelTime Series	CodeCode Available
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting	Oct 10, 2022	Time SeriesTime Series Analysis	—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