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 3371–3380 of 6748 papers

Title	Date	Tasks	Status
Sensor selection on graphs via data-driven node sub-sampling in network time series	Apr 24, 2020	Time SeriesTime Series Analysis	—Unverified
Sentiment Analysis of Homeric Text: The 1st Book of Iliad	Jun 1, 2022	Language ModelingLanguage Modelling	—Unverified
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning	Jan 26, 2020	Algorithmic TradingDeep Reinforcement Learning	—Unverified
seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention	Dec 7, 2018	ClusteringManagement	—Unverified
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation	Aug 18, 2022	DecoderImputation	—Unverified
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces	May 24, 2017	Action RecognitionRiemannian optimization	—Unverified
Sequence to sequence deep learning models for solar irradiation forecasting	Apr 30, 2019	DecoderDeep Learning	—Unverified
Sequential asset ranking in nonstationary time series	Feb 24, 2022	regressionTime Series	—Unverified
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions	Sep 23, 2022	Time SeriesTime Series Analysis	—Unverified
Sequential convolutional network for behavioral pattern extraction in gait recognition	Apr 23, 2021	Gait RecognitionTime Series	—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