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 1841–1850 of 6748 papers

Title	Date	Tasks	Status	Score
Automatic Segmentation of the Placenta in BOLD MRI Time Series	Aug 4, 2022	Placenta SegmentationTime Series	CodeCode Available	5
Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series	Feb 15, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	5
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy	May 20, 2018	Bayesian InferenceDeep Learning	CodeCode Available	5
The interplay of robustness and generalization in quantum machine learning	Jun 10, 2025	Adversarial RobustnessQuantum Machine Learning	CodeCode Available	5
Deep Normed Embeddings for Patient Representation	Apr 12, 2022	Representation LearningTime Series	CodeCode Available	5
Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss	Jun 6, 2021	BIG-bench Machine LearningTime Series	CodeCode Available	5
Distributional conformal prediction	Sep 17, 2019	Conformal Predictioncounterfactual	CodeCode Available	5
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa	Jun 11, 2020	ClusteringTime Series Analysis	CodeCode Available	5
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge	Jul 28, 2021	AutoMLFeature Engineering	CodeCode Available	5
Anomaly detection in the dynamics of web and social networks	Jan 22, 2019	Anomaly DetectionTime 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