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 3581–3590 of 6748 papers

Title	Date	Tasks	Status
Stochastic Sequential Neural Networks with Structured Inference	May 24, 2017	Medical DiagnosisSegmentation	—Unverified
Stock exchange shares ranking and binary-ternary compressive coding	Oct 20, 2021	Time SeriesTime Series Analysis	—Unverified
Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market	Jul 1, 2022	Portfolio OptimizationStock Price Prediction	—Unverified
Stock Portfolio Optimization Using a Deep Learning LSTM Model	Nov 8, 2021	Deep LearningPortfolio Optimization	—Unverified
Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting	May 4, 2021	Time SeriesTime Series Analysis	—Unverified
Stock price prediction using BERT and GAN	Jul 18, 2021	Generative Adversarial NetworkPrediction	—Unverified
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models	Nov 1, 2021	Stock Price PredictionTime Series	—Unverified
Stock Volatility Prediction using Time Series and Deep Learning Approach	Oct 5, 2022	Deep LearningTime Series	—Unverified
STONet: A Neural-Operator-Driven Spatio-temporal Network	Apr 18, 2022	Missing ValuesTime Series	—Unverified
Storylines for structuring massive streams of news	Jul 1, 2015	Time 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