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 901–910 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs	Oct 18, 2021	Self-Supervised LearningSentiment Analysis	CodeCode Available	1	5
Gaussian Process Prior Variational Autoencoders	Oct 28, 2018	Time SeriesTime Series Analysis	CodeCode Available	1	5
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations	Apr 13, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Improving Accuracy and Explainability of Online Handwriting Recognition	Sep 14, 2022	Ensemble LearningHandwriting Recognition	CodeCode Available	0	5
Implementing spectral methods for hidden Markov models with real-valued emissions	Apr 29, 2014	parameter estimationTime Series	CodeCode Available	0	5
A Critical Review of Recurrent Neural Networks for Sequence Learning	May 29, 2015	Handwriting RecognitionImage Captioning	CodeCode Available	0	5
Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think	Feb 27, 2023	regressionTime Series Analysis	CodeCode Available	0	5
Improving COVID-19 Forecasting using eXogenous Variables	Jul 20, 2021	Mortality PredictionTime Series Analysis	CodeCode Available	0	5
Imbedding Deep Neural Networks	Jan 31, 2022	Time SeriesTime Series Analysis	CodeCode Available	0	5
Identifying Unique Causal Network from Nonstationary Time Series	Nov 18, 2022	Time SeriesTime Series Analysis	CodeCode Available	0	5

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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