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 1526–1550 of 6748 papers

Title	Date	Tasks	Status	Score
Explaining Deep Classification of Time-Series Data with Learned Prototypes	Apr 18, 2019	ClassificationDecision Making	CodeCode Available	5
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates	Jun 28, 2021	Depth EstimationInstance Segmentation	CodeCode Available	5
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments	Jun 15, 2022	Decision MakingTime Series	CodeCode Available	5
Evaluating Impact of Social Media Posts by Executives on Stock Prices	Nov 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification	Nov 29, 2021	BIG-bench Machine LearningPrivacy Preserving	CodeCode Available	5
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour	Jan 31, 2023	Autonomous DrivingCausal Discovery	CodeCode Available	5
Evaluating data augmentation for financial time series classification	Oct 28, 2020	ClassificationData Augmentation	CodeCode Available	5
Multimodal Estimation of Change Points of Physiological Arousal in Drivers	Oct 28, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Evaluating Explanation Methods for Multivariate Time Series Classification	Aug 29, 2023	ClassificationTime Series	CodeCode Available	5
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation	Mar 2, 2012	Change Point DetectionDensity Ratio Estimation	CodeCode Available	5
EuroGames16: Evaluating Change Detection in Online Conversation	May 1, 2018	Change DetectionTime Series Analysis	CodeCode Available	5
Evaluating generation of chaotic time series by convolutional generative adversarial networks	May 26, 2023	Generative Adversarial NetworkTime Series	CodeCode Available	5
Evaluating time series forecasting models: An empirical study on performance estimation methods	May 28, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs	Apr 21, 2022	BenchmarkingChange Point Detection	CodeCode Available	5
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	Jul 31, 2019	Binary ClassificationTime Series Analysis	CodeCode Available	5
Change point detection for graphical models in the presence of missing values	Jul 11, 2019	Change Point DetectionImputation	CodeCode Available	5
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks	May 30, 2022	Audio ClassificationImage Classification	CodeCode Available	5
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations	Dec 16, 2014	Functional ConnectivityTime Series	CodeCode Available	5
Community recovery in non-binary and temporal stochastic block models	Aug 11, 2020	Stochastic Block ModelTime Series	CodeCode Available	5
Estimating Vector Fields from Noisy Time Series	Dec 6, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise	May 1, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Multi-Task Neural Processes	Oct 28, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Change of human mobility during COVID-19: A United States case study	Sep 18, 2021	Time Series Analysis	CodeCode Available	5
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors	Dec 7, 2020	Feature EngineeringFeature Importance	CodeCode Available	5
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia	Nov 13, 2023	AutoMLTime Series	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