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 2101–2110 of 6748 papers

Title	Date	Tasks	Status
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification	Nov 20, 2020	Emotion ClassificationGeneral Classification	—Unverified
Architectural Tricks for Deep Learning in Remote Photoplethysmography	Nov 6, 2019	Deep LearningTime Series	—Unverified
Adaptive Sequential Design for a Single Time-Series	Jan 29, 2021	Time SeriesTime Series Analysis	—Unverified
Architectural Optimization and Feature Learning for High-Dimensional Time Series Datasets	Feb 27, 2022	DiagnosticTime Series	—Unverified
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation	Sep 22, 2022	ManagementState Estimation	—Unverified
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty	Nov 5, 2022	Binary ClassificationDecision Making	—Unverified
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS	Sep 25, 2019	image-classificationImage Classification	—Unverified
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes	Mar 22, 2019	BIG-bench Machine LearningGaussian Processes	—Unverified
Effective Bayesian Modeling of Groups of Related Count Time Series	May 15, 2014	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

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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