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 4981–4990 of 6748 papers

Title	Date	Tasks	Status
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications	Feb 27, 2018	Time SeriesTime Series Analysis	—Unverified
Log-PDE Methods for Rough Signature Kernels	Apr 1, 2024	Time SeriesTime Series Analysis	—Unverified
A Hybrid Approach on Conditional GAN for Portfolio Analysis	Jul 13, 2022	Generative Adversarial NetworkTime Series	—Unverified
A Hybrid Deep Learning Model for Predictive Flood Warning and Situation Awareness using Channel Network Sensors Data	Jun 15, 2020	Time Series Analysis	—Unverified
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction	Dec 9, 2018	Feature Engineeringfeature selection	—Unverified
A hybrid neuro--wavelet predictor for QoS control and stability	Jun 12, 2014	DenoisingTime Series	—Unverified
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting	Mar 29, 2020	Load ForecastingTime Series	—Unverified
Aiding Long-Term Investment Decisions with XGBoost Machine Learning Model	Apr 19, 2021	BIG-bench Machine LearningFeature Engineering	—Unverified
AI enabled RPM for Mental Health Facility	Jan 20, 2023	Time SeriesTime Series Analysis	—Unverified
AI for trading strategies	Jun 26, 2022	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