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 971–980 of 6748 papers

Title	Date	Tasks	Status
CORAL: Concept Drift Representation Learning for Co-evolving Time-series	Jan 2, 2025	Representation LearningTime Series	—Unverified
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction	Jan 2, 2025	GLinearTime Series	CodeCode Available
Multivariate Human Activity Segmentation: Systematic Benchmark with ClaSP	Jan 1, 2025	Activity RecognitionChange Point Detection	CodeCode Available
AverageTime: Enhance Long-Term Time Series Forecasting with Simple Averaging	Dec 30, 2024	Time SeriesTime Series Analysis	CodeCode Available
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models	Dec 30, 2024	Machine Translationtext-classification	—Unverified
Econometric Analysis of Pandemic Disruption and Recovery Trajectory in the U.S. Rail Freight Industry	Dec 30, 2024	counterfactualTime Series Analysis	—Unverified
A Survey on Time-Series Distance Measures	Dec 29, 2024	Anomaly DetectionSurvey	—Unverified
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems	Dec 28, 2024	Anomaly DetectionBinary Classification	—Unverified
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting	Dec 27, 2024	Algorithmic TradingDecision Making	—Unverified
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations	Dec 25, 2024	counterfactualCounterfactual Explanation	—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