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 1931–1940 of 6748 papers

Title	Date	Tasks	Status	Score
Bioluminescence modeling for deep sea experiments	Feb 9, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Action Recognition Using Volumetric Motion Representations	Nov 19, 2019	Action RecognitionData Augmentation	CodeCode Available	5
Discovering patterns of online popularity from time series	Apr 10, 2019	ClusteringTime Series	CodeCode Available	5
Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning	Jan 4, 2020	Deep LearningTime Series	CodeCode Available	5
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations	Apr 7, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Detecting and Explaining Causes From Text For a Time Series Event	Jul 27, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Tree Echo State Autoencoders with Grammars	Apr 19, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series	Oct 5, 2022	AstronomyDecoder	CodeCode Available	5
A fully automated periodicity detection in time series	May 1, 2019	ClusteringTime Series	CodeCode Available	5
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices	May 15, 2025	Activity RecognitionCode Generation	CodeCode Available	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