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 1851–1860 of 6748 papers

Title	Date	Tasks	Status	Score
The interplay of robustness and generalization in quantum machine learning	Jun 10, 2025	Adversarial RobustnessQuantum Machine Learning	CodeCode Available	5
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series	Apr 30, 2020	Causal InferencePoint Processes	CodeCode Available	5
Anomaly detection in the dynamics of web and social networks	Jan 22, 2019	Anomaly DetectionTime Series	CodeCode Available	5
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy	May 20, 2018	Bayesian InferenceDeep Learning	CodeCode Available	5
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series	Mar 14, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks	Jan 19, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis	Aug 8, 2017	Anomaly DetectionManagement	CodeCode Available	5
Temporal patterns in insulin needs for Type 1 diabetes	Nov 14, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning	Jan 31, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Distributed and parallel time series feature extraction for industrial big data applications	Oct 25, 2016	Binary ClassificationClassification	CodeCode Available	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