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 1531–1540 of 6748 papers

Title	Date	Tasks	Status
Conditional heteroskedasticity in crypto-asset returns	Dec 24, 2018	Time SeriesTime Series Analysis	—Unverified
Conditional Generative Models for Counterfactual Explanations	Jan 25, 2021	counterfactualTime Series	—Unverified
Correlations and Flow of Information between The New York Times and Stock Markets	Jul 18, 2017	Sentiment AnalysisTime Series	—Unverified
Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data	Oct 13, 2020	DescriptiveTime Series	—Unverified
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow	Jan 6, 2023	Time SeriesTime Series Analysis	—Unverified
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution	Oct 5, 2020	Time SeriesTime Series Analysis	—Unverified
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics	Sep 23, 2022	Anomaly DetectionTime Series	—Unverified
A Stochastic Time Series Model for Predicting Financial Trends using NLP	Feb 2, 2021	Generative Adversarial NetworkSentiment Analysis	—Unverified
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task	Jun 27, 2022	Crop ClassificationImage-to-Image Translation	—Unverified
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning	Sep 30, 2020	Asset ManagementDeep Reinforcement Learning	—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