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 2261–2270 of 6748 papers

Title	Date	Tasks	Status
An Evaluation of Classification and Outlier Detection Algorithms	May 2, 2018	ClassificationGeneral Classification	—Unverified
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL	Jun 15, 2021	Time SeriesTime Series Analysis	—Unverified
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems	Nov 11, 2020	Deep LearningTime Series	—Unverified
Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning	May 26, 2017	BIG-bench Machine LearningTime Series Analysis	—Unverified
Deep Neural Models of Semantic Shift	Jun 1, 2018	Time SeriesTime Series Analysis	—Unverified
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone	Aug 10, 2020	Bayesian OptimizationTime Series	—Unverified
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings	Jun 16, 2022	ImputationMissing Values	—Unverified
Deep multi-survey classification of variable stars	Oct 21, 2018	BIG-bench Machine LearningClassification	—Unverified
Deep Multimodal Representation Learning from Temporal Data	Apr 11, 2017	Audio-Visual Speech RecognitionRepresentation Learning	—Unverified
Automatic Registration and Clustering of Time Series	Dec 8, 2020	ClusteringTime 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