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 701–710 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics	Jun 7, 2022	Dictionary LearningTime Series Analysis	CodeCode Available	1	5
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification	Apr 16, 2021	Binary ClassificationGeneral Classification	CodeCode Available	1	5
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting	Dec 2, 2022	Time SeriesTime Series Analysis	CodeCode Available	1	5
ASTRIDE: Adaptive Symbolization for Time Series Databases	Feb 8, 2023	Change Point DetectionQuantization	CodeCode Available	1	5
Deep Autoregressive Models with Spectral Attention	Jul 13, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data	May 22, 2020	Domain AdaptationTime Series	CodeCode Available	1	5
Deep ConvLSTM with self-attention for human activity decoding using wearables	May 2, 2020	Time SeriesTime Series Analysis	CodeCode Available	1	5
Deep Counterfactual Estimation with Categorical Background Variables	Oct 11, 2022	Causal Inferencecounterfactual	CodeCode Available	1	5
An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting	Oct 16, 2020	Meta-Learningregression	CodeCode Available	1	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