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 3701–3710 of 6748 papers

Title	Date	Tasks	Status
Temporal mixture ensemble models for intraday volume forecasting in cryptocurrency exchange markets	May 19, 2020	BIG-bench Machine LearningTime Series	—Unverified
Temporal Network Sampling	Oct 18, 2019	DescriptiveTime Series	—Unverified
Temporal Overdrive Recurrent Neural Network	Jan 18, 2017	Time SeriesTime Series Analysis	—Unverified
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks	May 17, 2021	Instance SegmentationSemantic Segmentation	—Unverified
Temporal Probabilistic Asymmetric Multi-task Learning	Sep 25, 2019	Multi-Task LearningPrediction	—Unverified
Temporal Registration in Application to In-utero MRI Time Series	Mar 6, 2019	Time SeriesTime Series Alignment	—Unverified
Temporal Registration in In-Utero Volumetric MRI Time Series	Aug 12, 2016	Time SeriesTime Series Analysis	—Unverified
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction	Dec 1, 2016	Demand ForecastingMissing Values	—Unverified
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series	Jul 5, 2022	ClassificationCrop Classification	—Unverified
Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting	Oct 6, 2022	Feature Engineeringfeature selection	—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