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 1301–1325 of 6748 papers

Title	Date	Tasks	Status	Score
Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics	Apr 9, 2021	motion predictionPrediction	CodeCode Available	5
Approximating Continuous Functions on Persistence Diagrams Using Template Functions	Feb 19, 2019	Time Series AnalysisTopological Data Analysis	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
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation	Oct 18, 2015	ClusteringDimensionality Reduction	CodeCode Available	5
Clustering Market Regimes using the Wasserstein Distance	Oct 22, 2021	ClusteringTime Series	CodeCode Available	5
A log-linear time algorithm for constrained changepoint detection	Mar 9, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
DMS, AE, DAA: methods and applications of adaptive time series model selection, ensemble, and financial evaluation	Oct 21, 2021	Model SelectionTime Series	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
CNTS: Cooperative Network for Time Series	Feb 20, 2023	Anomaly DetectionTime Series	CodeCode Available	5
Approximate Bayesian Computation with Path Signatures	Jun 23, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
FNetAR: Mixing Tokens with Autoregressive Fourier Transforms	Jul 22, 2021	Language ModellingTime Series	CodeCode Available	5
Feature space approximation for kernel-based supervised learning	Nov 25, 2020	regressionTime Series	CodeCode Available	5
Co-evolutionary multi-task learning for dynamic time series prediction	Feb 27, 2017	Evolutionary AlgorithmsMulti-Task Learning	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
Feature Selection for Multivariate Time Series via Network Pruning	Feb 11, 2021	feature selectionNetwork Pruning	CodeCode Available	5
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states	Oct 31, 2018	ClusteringTime Series	CodeCode Available	5
Forecasting new diseases in low-data settings using transfer learning	Apr 7, 2022	Time Series AnalysisTransfer Learning	CodeCode Available	5
Fast Online Deconvolution of Calcium Imaging Data	Mar 16, 2017	Time SeriesTime Series Analysis	CodeCode Available	5
Feature engineering workflow for activity recognition from synchronized inertial measurement units	Dec 18, 2019	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	5
Adaptive pooling operators for weakly labeled sound event detection	Apr 26, 2018	Event DetectionMultiple Instance Learning	CodeCode Available	5
Clustering Based Feature Learning on Variable Stars	Feb 29, 2016	Classification Of Variable StarsClustering	CodeCode Available	5
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective	Nov 5, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	5
Fast ES-RNN: A GPU Implementation of the ES-RNN Algorithm	Jul 7, 2019	GPUTime Series	CodeCode Available	5
Faster Retrieval with a Two-Pass Dynamic-Time-Warping Lower Bound	Nov 20, 2008	Dynamic Time WarpingRetrieval	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