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 2981–2990 of 6748 papers

Title	Date	Tasks	Status
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware	Oct 10, 2022	Edge-computingimage-classification	—Unverified
Graph neural network-based fault diagnosis: a review	Nov 16, 2021	Fault DiagnosisGraph Attention	—Unverified
Energy consumption forecasting using a stacked nonparametric Bayesian approach	Nov 11, 2020	Time SeriesTime Series Analysis	—Unverified
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs	Feb 17, 2022	ClassificationComputational Efficiency	—Unverified
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components	Nov 14, 2014	Causal InferenceTime Series	—Unverified
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series	Oct 10, 2019	Time SeriesTime Series Analysis	—Unverified
Graph state-space models	Jan 4, 2023	DecoderState Space Models	—Unverified
Grasping Core Rules of Time Series through Pure Models	Aug 15, 2022	Time SeriesTime Series Analysis	—Unverified
GraSSNet: Graph Soft Sensing Neural Networks	Nov 12, 2021	Time SeriesTime Series Analysis	—Unverified
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes	May 12, 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