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 221–230 of 6748 papers

Title	Date	Tasks	Status	Hype
Multi-Dimensional Self Attention based Approach for Remaining Useful Life Estimation	Dec 12, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling	Dec 12, 2022	DecoderGraph Learning	CodeCode Available	1
Sequential Predictive Conformal Inference for Time Series	Dec 7, 2022	Conformal PredictionPrediction	CodeCode Available	1
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network	Dec 7, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Copula Conformal Prediction for Multi-step Time Series Forecasting	Dec 6, 2022	Conformal PredictionPrediction	CodeCode Available	1
Axial-LOB: High-Frequency Trading with Axial Attention	Dec 4, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Contrastive Domain Adaptation for Time-Series via Temporal Mixup	Dec 3, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series	Dec 2, 2022	ClusteringContrastive Learning	CodeCode Available	1
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting	Dec 2, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Diffusion Generative Models in Infinite Dimensions	Dec 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	1

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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