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 3141–3150 of 6748 papers

Title	Date	Tasks	Status
HydroDeep -- A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis	Oct 9, 2020	Time Series AnalysisTransfer Learning	—Unverified
Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey	Sep 18, 2021	Deep LearningTime Series	—Unverified
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks	Dec 6, 2022	Deep Reinforcement Learningreinforcement-learning	—Unverified
Agriculture Credit and Economic Growth in Bangladesh: A Time Series Analysis	Sep 8, 2023	Time SeriesTime Series Analysis	—Unverified
Hyperinflation in Brazil, Israel, and Nicaragua revisited	Apr 12, 2016	Time Series Analysis	—Unverified
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting	Sep 28, 2018	Spatio-Temporal ForecastingTime Series	—Unverified
HyperTime: Implicit Neural Representation for Time Series	Aug 11, 2022	Data AugmentationImputation	—Unverified
Hypotheses testing on infinite random graphs	Aug 10, 2017	Time SeriesTime Series Analysis	—Unverified
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting	Mar 3, 2019	4D Spatio Temporal Semantic SegmentationTime Series	—Unverified
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior	Nov 15, 2018	SegmentationTime Series	—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