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 1671–1680 of 6748 papers

Title	Date	Tasks	Status
Non-contrastive representation learning for intervals from well logs	Sep 28, 2022	Representation LearningSelf-Supervised Learning	—Unverified
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary	Sep 28, 2022	Time SeriesTime Series Analysis	—Unverified
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data	Sep 28, 2022	Active LearningFew-Shot Learning	—Unverified
Explainable classification of astronomical uncertain time series	Sep 28, 2022	ClassificationTime Series	—Unverified
Retrieval Based Time Series Forecasting	Sep 27, 2022	ImputationRetrieval	—Unverified
Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values	Sep 27, 2022	Time Series Analysis	—Unverified
Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning	Sep 26, 2022	Time Series Analysis	—Unverified
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness	Sep 26, 2022	Activity RecognitionDenoising	—Unverified
Neural State-Space Modeling with Latent Causal-Effect Disentanglement	Sep 26, 2022	DisentanglementState Space Models	CodeCode Available
Myopia prediction for adolescents via time-aware deep learning	Sep 26, 2022	Deep LearningPrediction	—Unverified

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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