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 2081–2090 of 6748 papers

Title	Date	Tasks	Status
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach	Aug 16, 2018	Demand ForecastingTime Series	—Unverified
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification	Dec 13, 2018	General ClassificationLand Cover Classification	—Unverified
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers	May 21, 2021	Computational Efficiencyimage-classification	—Unverified
A regression model with a hidden logistic process for feature extraction from time series	Dec 25, 2013	regressionTime Series	—Unverified
A machine learning search for optimal GARCH parameters	Jan 10, 2022	BIG-bench Machine LearningTime Series	—Unverified
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers	Oct 26, 2021	Computational Efficiencyimage-classification	—Unverified
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis	Nov 14, 2019	Dimensionality ReductionEEG	—Unverified
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics	Nov 29, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Combining observational and experimental data to find heterogeneous treatment effects	Nov 8, 2016	Time SeriesTime Series Analysis	—Unverified
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems	Feb 10, 2020	BIG-bench Machine LearningTime Series	—Unverified

Show:10 25 50

← PrevPage 209 of 675Next →

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