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 2151–2160 of 6748 papers

Title	Date	Tasks	Status
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning	Jan 14, 2021	Deep Reinforcement LearningEnsemble Learning	—Unverified
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series	May 2, 2018	ClusteringTime Series	—Unverified
Approximation Theory of Convolutional Architectures for Time Series Modelling	Jul 20, 2021	Time SeriesTime Series Analysis	—Unverified
5G Traffic Prediction with Time Series Analysis	Oct 7, 2021	ClassificationPrediction	—Unverified
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting	May 23, 2020	EEGElectroencephalogram (EEG)	—Unverified
Empirical facts characterizing banking crises: an analysis via binary time series	Apr 29, 2019	ClusteringTime Series	—Unverified
Empirical Studies on Symbolic Aggregation Approximation Under Statistical Perspectives for Knowledge Discovery in Time Series	Jun 8, 2015	Time SeriesTime Series Analysis	—Unverified
Approximation algorithms for confidence bands for time series	Dec 12, 2021	Time SeriesTime Series Analysis	—Unverified
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation	Dec 20, 2024	Time Series Analysis	—Unverified
A Statistical Recurrent Stochastic Volatility Model for Stock Markets	Jun 7, 2019	Time 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