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 3411–3420 of 6748 papers

Title	Date	Tasks	Status
Potential Conditional Mutual Information: Estimators, Properties and Applications	Oct 13, 2017	Time SeriesTime Series Analysis	—Unverified
Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM	Aug 15, 2016	ClassificationGeneral Classification	—Unverified
Power Line Communication and Sensing Using Time Series Forecasting	Oct 19, 2021	DiagnosticTime Series	—Unverified
Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning	Apr 9, 2014	BIG-bench Machine LearningHybrid Machine Learning	—Unverified
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction	Apr 25, 2017	feature selectionICU Admission	—Unverified
Practical Data-Dependent Metric Compression with Provable Guarantees	Dec 1, 2017	QuantizationTime Series	—Unverified
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions	May 17, 2017	Deep LearningFeature Engineering	—Unverified
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics	May 18, 2022	Demand ForecastingRepresentation Learning	—Unverified
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN	Oct 24, 2018	Deep LearningTime Series	—Unverified
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs	Oct 11, 2023	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