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 4241–4250 of 6748 papers

Title	Date	Tasks	Status
Wavelet‐attention‐based traffic prediction for smart cities	Nov 25, 2021	PredictionTime Series	—Unverified
Wavelet-based clustering for time-series trend detection	Nov 17, 2020	ClusteringTime Series	—Unverified
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price	Aug 16, 2020	DenoisingTime Series	—Unverified
Weakly-supervised Dictionary Learning	Feb 5, 2018	DenoisingDictionary Learning	—Unverified
Weak Supervision for Affordable Modeling of Electrocardiogram Data	Jan 9, 2022	DiagnosticTime Series	—Unverified
Weak Supervision for Time Series: Wearable Sensor Classification with Limited Labeled Data	Mar 25, 2019	Time SeriesTime Series Analysis	—Unverified
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning	Apr 24, 2019	Deep LearningGeneral Classification	—Unverified
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience	Aug 23, 2022	Time SeriesTime Series Analysis	—Unverified
We are More than Our Joints: Predicting how 3D Bodies Move	Dec 1, 2020	Human motion predictionmotion prediction	—Unverified
Weather event severity prediction using buoy data and machine learning	Nov 17, 2019	BIG-bench Machine LearningImputation	—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