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 1441–1450 of 6748 papers

Title	Date	Tasks	Status
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series	Dec 13, 2022	Time SeriesTime Series Analysis	—Unverified
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management	Dec 12, 2022	ClusteringManagement	—Unverified
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories	Dec 12, 2022	Time Series AnalysisTime Series Forecasting	—Unverified
Neural Continuous-Time Markov Models	Dec 11, 2022	Time Series Analysis	—Unverified
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data: A Koopman Operator Approach	Dec 10, 2022	Time SeriesTime Series Analysis	—Unverified
Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period	Dec 10, 2022	Time SeriesTime Series Analysis	—Unverified
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series	Dec 9, 2022	Anomaly DetectionDynamic Time Warping	—Unverified
Towards Better Long-range Time Series Forecasting using Generative Forecasting	Dec 9, 2022	Generative Adversarial NetworkTime Series	—Unverified
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines	Dec 7, 2022	Time SeriesTime Series Analysis	—Unverified
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series	Dec 7, 2022	Irregular Time SeriesTime Series	CodeCode Available

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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