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 4701–4710 of 6748 papers

Title	Date	Tasks	Status
Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures	Aug 29, 2021	Dimensionality Reductionregression	—Unverified
Variations on two-parameter families of forecasting functions: seasonal/nonseasonal Models, comparison to the exponential smoothing and ARIMA models, and applications to stock market data	Jul 6, 2022	Time SeriesTime Series Analysis	—Unverified
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference	Feb 14, 2022	Quantizationspeech-recognition	—Unverified
VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder	Jan 25, 2021	Time SeriesTime Series Analysis	—Unverified
Vehicular Visible Light Communications Noise Analysis and Autoencoder Based Denoising	Nov 20, 2021	DenoisingTime Series	—Unverified
Vertical Power Flow Forecast with LSTMs Using Regular Training Update Strategies	Sep 22, 2020	Time Series Analysis	—Unverified
Computer Vision Self-supervised Learning Methods on Time Series	Sep 2, 2021	Self-Supervised LearningTime Series	—Unverified
Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment	Feb 24, 2017	Skills AssessmentTime Series Analysis	—Unverified
Video-Based Action Recognition Using Rate-Invariant Analysis of Covariance Trajectories	Mar 23, 2015	Action RecognitionGeneral Classification	—Unverified
Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention	Mar 3, 2021	Sentiment AnalysisTime 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