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 851–860 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Attention to Warp: Deep Metric Learning for Multivariate Time Series	Mar 28, 2021	Dynamic Time WarpingMetric Learning	CodeCode Available	1	5
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting	Aug 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting	Sep 4, 2021	Irregular Time SeriesRepresentation Learning	CodeCode Available	1	5
An efficient aggregation method for the symbolic representation of temporal data	Jan 14, 2022	Dimensionality ReductionInformation Retrieval	CodeCode Available	1	5
Fast Variational Learning in State-Space Gaussian Process Models	Jul 9, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation	May 25, 2022	Graph Neural NetworkTime Series	CodeCode Available	1	5
Feature-Based Time-Series Analysis in R using the theft Package	Aug 12, 2022	Data VisualizationTime Series	CodeCode Available	1	5
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery	Mar 17, 2021	Change DetectionData Augmentation	CodeCode Available	1	5
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines	Jun 26, 2021	BIG-bench Machine LearningManagement	CodeCode Available	1	5
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series	Jun 22, 2020	DisentanglementTime Series	CodeCode Available	1	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