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 721–730 of 6748 papers

Title	Date	Tasks	Status	Hype
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application	Aug 8, 2020	BIG-bench Machine LearningTime Series	CodeCode Available	1
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality	Aug 2, 2020	Generalization BoundsTime Series	CodeCode Available	1
Score-informed Networks for Music Performance Assessment	Aug 1, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks	Jul 31, 2020	Data AugmentationGeneral Classification	CodeCode Available	1
Rethinking Recurrent Neural Networks and Other Improvements for Image Classification	Jul 30, 2020	General Classificationimage-classification	CodeCode Available	1
Random Forests for dependent data	Jul 30, 2020	Decision MakingGaussian Processes	CodeCode Available	1
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting	Jul 30, 2020	ManagementTime Series	CodeCode Available	1
Calibration of Google Trends Time Series	Jul 27, 2020	Time SeriesTime Series Analysis	CodeCode Available	1
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data	Jul 24, 2020	Activity RecognitionChange Point Detection	CodeCode Available	1
Deep Dynamic Factor Models	Jul 23, 2020	Time SeriesTime 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