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 2661–2670 of 6748 papers

Title	Date	Tasks	Status
Financial Market Trend Forecasting and Performance Analysis Using LSTM	Mar 31, 2020	PredictionTime Series	—Unverified
Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods	Jun 3, 2017	BIG-bench Machine LearningTime Series	—Unverified
Financial series prediction using Attention LSTM	Feb 28, 2019	BIG-bench Machine LearningDeep Learning	—Unverified
Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning	May 23, 2021	BIG-bench Machine LearningTime Series	—Unverified
Forestry digital twin with machine learning in Landsat 7 data	Apr 2, 2022	BIG-bench Machine LearningTime Series	—Unverified
Causality based Feature Fusion for Brain Neuro-Developmental Analysis	Jan 22, 2020	Functional ConnectivityTime Series Analysis	—Unverified
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach	Dec 31, 2023	Hybrid Machine LearningTime Series	—Unverified
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019	Nov 29, 2019	Systematic Literature ReviewTime Series	—Unverified
A Novel Method Combines Moving Fronts, Data Decomposition and Deep Learning to Forecast Intricate Time Series	Mar 11, 2023	Time SeriesTime Series Analysis	—Unverified
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method	Aug 18, 2024	Time SeriesTime 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