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 2111–2120 of 6748 papers

Title	Date	Tasks	Status
Efficiency of the Moscow Stock Exchange before 2022	Jul 21, 2022	Time SeriesTime Series Analysis	—Unverified
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting	Feb 27, 2023	Decision Makingenergy management	—Unverified
Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems	Jun 29, 2020	Artificial LifeTime Series	—Unverified
A quantum generative model for multi-dimensional time series using Hamiltonian learning	Apr 13, 2022	Quantum Machine LearningSynthetic Data Generation	—Unverified
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles	Oct 28, 2020	Anomaly DetectionAutonomous Vehicles	—Unverified
A Quantum Field Theory of Representation Learning	Jul 4, 2019	Representation LearningTime Series	—Unverified
A machine learning approach to itinerary-level booking prediction in competitive airline markets	Mar 15, 2021	BIG-bench Machine LearningDemand Forecasting	—Unverified
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network	Mar 28, 2017	Anomaly DetectionIntrusion Detection	—Unverified
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation	Feb 16, 2022	Activity RecognitionHuman Activity Recognition	—Unverified
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems	Oct 21, 2019	Time SeriesTime Series Analysis	—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