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 3591–3600 of 6748 papers

Title	Date	Tasks	Status
Random thoughts about Complexity, Data and Models	Apr 16, 2020	Time Series Analysis	—Unverified
Random vector functional link neural network based ensemble deep learning for short-term load forecasting	Jul 30, 2021	Load ForecastingRepresentation Learning	—Unverified
Ranking and significance of variable-length similarity-based time series motifs	Mar 6, 2015	Time SeriesTime Series Analysis	—Unverified
Ranking election issues through the lens of social media	Jul 1, 2015	Time Series Analysis	—Unverified
Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics	Mar 17, 2022	Time Series Analysis	—Unverified
RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning	Oct 5, 2021	Time SeriesTime Series Analysis	—Unverified
RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product	Oct 26, 2022	Change DetectionClassification	—Unverified
RAPID: Early Classification of Explosive Transients using Deep Learning	Mar 29, 2019	ClassificationDeep Learning	—Unverified
Rapidly evaluating lockdown strategies using spectral analysis: the cycles behind new daily COVID-19 cases and what happens after lockdown	Apr 16, 2020	Time SeriesTime Series Analysis	—Unverified
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer	Jul 19, 2018	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