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 2591–2600 of 6748 papers

Title	Date	Tasks	Status
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services	Sep 4, 2018	Deep LearningGeneral Classification	—Unverified
A Comparative Study: Adaptive Fuzzy Inference Systems for Energy Prediction in Urban Buildings	Sep 24, 2018	Time SeriesTime Series Analysis	—Unverified
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat	Feb 8, 2019	Decision MakingTime Series	—Unverified
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA	Jun 3, 2019	General ClassificationPrediction	—Unverified
Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk	Oct 18, 2020	Portfolio OptimizationTime Series	—Unverified
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data	Sep 29, 2021	BenchmarkingDomain Adaptation	—Unverified
Cryptocurrency Market Consolidation in 2020--2021	Dec 13, 2021	Time SeriesTime Series Analysis	—Unverified
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data	Nov 30, 2022	Time SeriesTime Series Analysis	—Unverified
Analysis of EEG data using complex geometric structurization	Feb 17, 2021	EEGElectroencephalogram (EEG)	—Unverified
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach	Dec 27, 2019	continuous-controlContinuous Control	—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