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 1–10 of 6748 papers

Title	Date	Tasks	Status	Hype
Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural Networks	Jul 17, 2025	Time Series Analysis	CodeCode Available	0
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems	Jun 26, 2025	Anomaly DetectionFault Diagnosis	—Unverified	0
A Review of the Long Horizon Forecasting Problem in Time Series Analysis	Jun 15, 2025	Multivariate Time Series ForecastingTime Series	CodeCode Available	0
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series	Jun 12, 2025	Irregular Time SeriesTime Series	—Unverified	0
The interplay of robustness and generalization in quantum machine learning	Jun 10, 2025	Adversarial RobustnessQuantum Machine Learning	CodeCode Available	0
Trojan Horse Hunt in Time Series Forecasting for Space Operations	Jun 2, 2025	Model PoisoningTime Series	—Unverified	0
Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison	Jun 1, 2025	Large Language ModelTime Series Analysis	—Unverified	0
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series	May 30, 2025	Anomaly DetectionTime Series	—Unverified	0
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?	May 29, 2025	Time SeriesTime Series Analysis	—Unverified	0
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning	May 29, 2025	Dynamic Time WarpingKeypoint Detection	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