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 1451–1460 of 6748 papers

Title	Date	Tasks	Status
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series	Dec 7, 2022	Irregular Time SeriesTime Series	CodeCode Available
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines	Dec 7, 2022	Time SeriesTime Series Analysis	—Unverified
Bi-LSTM Price Prediction based on Attention Mechanism	Dec 7, 2022	Feature EngineeringPrediction	—Unverified
A Frequency-Structure Approach for Link Stream Analysis	Dec 7, 2022	Time Series Analysis	—Unverified
Drift Identification for Lévy alpha-Stable Stochastic Systems	Dec 6, 2022	Time SeriesTime Series Analysis	—Unverified
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection	Dec 6, 2022	Explainable Artificial Intelligence (XAI)Fraud Detection	—Unverified
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting	Dec 6, 2022	DecoderInductive Bias	—Unverified
Denoising diffusion probabilistic models for probabilistic energy forecasting	Dec 6, 2022	Deep LearningDenoising	—Unverified
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks	Dec 6, 2022	Deep Reinforcement Learningreinforcement-learning	—Unverified
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods	Dec 6, 2022	Anomaly DetectionTime 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