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 771–780 of 6748 papers

Title	Date	Tasks	Status	Hype
Learning Long-Term Dependencies in Irregularly-Sampled Time Series	Jun 8, 2020	Sequential Image ClassificationTime Series	CodeCode Available	1
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation	Jun 6, 2020	Activity RecognitionDeep Learning	CodeCode Available	1
Joint learning of variational representations and solvers for inverse problems with partially-observed data	Jun 5, 2020	Image InpaintingTime Series	CodeCode Available	1
Interpretable Time-series Classification on Few-shot Samples	Jun 3, 2020	ClassificationFew-Shot Learning	CodeCode Available	1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE	Jun 3, 2020	General Classificationimage-classification	CodeCode Available	1
Detection of gravitational-wave signals from binary neutron star mergers using machine learning	Jun 2, 2020	BIG-bench Machine LearningSensitivity	CodeCode Available	1
A Generalised Signature Method for Multivariate Time Series Feature Extraction	Jun 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations	May 31, 2020	ClassificationGeneral Classification	CodeCode Available	1
Generalised Interpretable Shapelets for Irregular Time Series	May 28, 2020	Audio ClassificationIrregular Time Series	CodeCode Available	1
Machine Learning Time Series Regressions with an Application to Nowcasting	May 28, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	1

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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