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 501–510 of 6748 papers

Title	Date	Tasks	Status	Hype
Towards a Rigorous Evaluation of Time-series Anomaly Detection	Sep 11, 2021	Anomaly DetectionTime Series	CodeCode Available	1
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge	Sep 9, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction	Sep 4, 2021	Time Series Analysis	CodeCode Available	1
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting	Sep 4, 2021	Irregular Time SeriesRepresentation Learning	CodeCode Available	1
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting	Sep 2, 2021	AttributeMulti-Task Learning	CodeCode Available	1
Transformer Networks for Data Augmentation of Human Physical Activity Recognition	Sep 2, 2021	Activity RecognitionData Augmentation	CodeCode Available	1
MrSQM: Fast Time Series Classification with Symbolic Representations	Sep 2, 2021	Classificationfeature selection	CodeCode Available	1
Bilinear Input Normalization for Neural Networks in Financial Forecasting	Sep 1, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting	Aug 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	1
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales	Aug 26, 2021	Missing ValuesTime Series Analysis	CodeCode Available	1

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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