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 1251–1275 of 6748 papers

Title	Date	Tasks	Status	Score
A Review of Network Inference Techniques for Neural Activation Time Series	Jun 20, 2018	Point ProcessesTime Series	CodeCode Available	5
Forecasting new diseases in low-data settings using transfer learning	Apr 7, 2022	Time Series AnalysisTransfer Learning	CodeCode Available	5
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies	Jun 27, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables	Jul 21, 2020	regressionTime Series	CodeCode Available	5
A Memory-Network Based Solution for Multivariate Time-Series Forecasting	Sep 6, 2018	Multivariate Time Series ForecastingQuestion Answering	CodeCode Available	5
Forecasting Algorithms for Causal Inference with Panel Data	Aug 6, 2022	Causal Inferencecounterfactual	CodeCode Available	5
Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach	Apr 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
FNetAR: Mixing Tokens with Autoregressive Fourier Transforms	Jul 22, 2021	Language ModellingTime Series	CodeCode Available	5
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics	Apr 9, 2021	motion predictionPrediction	CodeCode Available	5
Accurate Inference for Adaptive Linear Models	Dec 18, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach	Oct 9, 2017	BenchmarkingClustering	CodeCode Available	5
A mathematical perspective on edge-centric brain functional connectivity	Jun 20, 2021	Functional ConnectivityTime Series	CodeCode Available	5
Coordination Event Detection and Initiator Identification in Time Series Data	Mar 4, 2016	Decision MakingEvent Detection	CodeCode Available	5
Fitting stochastic predator-prey models using both population density and kill rate data	Apr 3, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations	Jul 2, 2020	Bayesian OptimizationCompressive Sensing	CodeCode Available	5
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction	May 30, 2022	BIG-bench Machine LearningBinary Classification	CodeCode Available	5
A Recurrent Neural Network Survival Model: Predicting Web User Return Time	Jul 11, 2018	Survival AnalysisTime Series	CodeCode Available	5
Flipped Classroom: Effective Teaching for Time Series Forecasting	Oct 17, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal Data	Jul 22, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
A machine learning framework for computationally expensive transient models	Jul 12, 2019	BIG-bench Machine LearningTime Series	CodeCode Available	5
Few-shot human motion prediction for heterogeneous sensors	Dec 22, 2022	Few-Shot LearningHuman motion prediction	CodeCode Available	5
fETSmcs: Feature-based ETS model component selection	Jun 26, 2022	modelModel Selection	CodeCode Available	5
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods	Sep 30, 2021	feature selectionTime Series	CodeCode Available	5
A projected nonlinear state-space model for forecasting time series signals	Nov 22, 2023	BenchmarkingComputational Efficiency	CodeCode Available	5
Adaptive pooling operators for weakly labeled sound event detection	Apr 26, 2018	Event DetectionMultiple Instance Learning	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