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 881–890 of 6748 papers

Title	Date	Tasks	Status	Hype
Probabilistic Recurrent State-Space Models	Jan 31, 2018	Gaussian ProcessesState Space Models	CodeCode Available	1
Multivariate LSTM-FCNs for Time Series Classification	Jan 14, 2018	Action RecognitionActivity Recognition	CodeCode Available	1
Learning Linear Dynamical Systems via Spectral Filtering	Nov 2, 2017	Time SeriesTime Series Analysis	CodeCode Available	1
hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction	Nov 1, 2017	Time SeriesTime Series Analysis	CodeCode Available	1
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	Sep 14, 2017	Time SeriesTime Series Analysis	CodeCode Available	1
LSTM Fully Convolutional Networks for Time Series Classification	Sep 8, 2017	General ClassificationOutlier Detection	CodeCode Available	1
Deep and Confident Prediction for Time Series at Uber	Sep 6, 2017	Anomaly DetectionPrediction	CodeCode Available	1
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	Jul 6, 2017	DecoderMultivariate Time Series Forecasting	CodeCode Available	1
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series	Jul 5, 2017	ClassificationEEG	CodeCode Available	1
Changing Fashion Cultures	Mar 23, 2017	Cultural Vocal Bursts Intensity PredictionTime Series	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