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 81–90 of 6748 papers

Title	Date	Tasks	Status	Hype
AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging	Dec 30, 2024	Time SeriesTime Series Analysis	CodeCode Available	0
A Survey on Time-Series Distance Measures	Dec 29, 2024	Anomaly DetectionSurvey	—Unverified	0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems	Dec 28, 2024	Anomaly DetectionBinary Classification	—Unverified	0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting	Dec 27, 2024	Algorithmic TradingDecision Making	—Unverified	0
Revisiting PCA for time series reduction in temporal dimension	Dec 27, 2024	Computational EfficiencyDimensionality Reduction	CodeCode Available	7
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations	Dec 25, 2024	counterfactualCounterfactual Explanation	—Unverified	0
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation	Dec 20, 2024	Time Series Analysis	—Unverified	0
Using matrix-product states for time-series machine learning	Dec 20, 2024	AstronomyImputation	CodeCode Available	1
GG-SSMs: Graph-Generating State Space Models	Dec 17, 2024	MambaOptical Flow Estimation	—Unverified	0
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis	Dec 17, 2024	Multivariate Time Series ForecastingTime Series	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