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 631–640 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction	Mar 31, 2020	Spatio-Temporal ForecastingTime Series	CodeCode Available	1	5
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection	Dec 17, 2020	Malware DetectionTime Series	CodeCode Available	1	5
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting	Jul 28, 2022	Conformal PredictionDecision Making	CodeCode Available	1	5
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning	Jun 23, 2020	Knowledge GraphsMulti-Task Learning	CodeCode Available	1	5
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals	Nov 23, 2020	Explainable ModelsGeneral Classification	CodeCode Available	1	5
Keiki: Towards Realistic Danmaku Generation via Sequential GANs	Jul 7, 2021	DiversityTime Series	CodeCode Available	1	5
Exploring the Advantages of Transformers for High-Frequency Trading	Feb 20, 2023	DecoderPosition	CodeCode Available	1	5
Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark	Oct 12, 2015	Anomaly DetectionTime Series	CodeCode Available	1	5
Euler State Networks: Non-dissipative Reservoir Computing	Mar 17, 2022	MemorizationTime Series	CodeCode Available	1	5
Evaluation of deep learning models for multi-step ahead time series prediction	Mar 26, 2021	DecoderDeep Learning	CodeCode Available	1	5

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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