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 1251–1260 of 6748 papers

Title	Date	Tasks	Status
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering	Nov 17, 2020	Action DetectionActivity Detection	—Unverified
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting	Jul 1, 2019	Time SeriesTime Series Analysis	—Unverified
A Deep Structural Model for Analyzing Correlated Multivariate Time Series	Jan 2, 2020	Time SeriesTime Series Analysis	—Unverified
A textual transform of multivariate time-series for prognostics	Sep 19, 2017	Time SeriesTime Series Analysis	—Unverified
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models	Dec 17, 2021	Deep LearningTime Series	—Unverified
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives	May 13, 2018	Autonomous VehiclesTime Series	—Unverified
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding	Jul 1, 2022	Prediction IntervalsTime Series	—Unverified
Analysis of stock index with a generalized BN-S model: an approach based on machine learning and fuzzy parameters	Jan 22, 2021	BIG-bench Machine LearningTime Series	—Unverified
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat	Feb 8, 2019	Decision MakingTime Series	—Unverified
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA	Jun 3, 2019	General ClassificationPrediction	—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