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 211–220 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
An Evaluation of Change Point Detection Algorithms	Mar 13, 2020	Change Point DetectionTime Series	CodeCode Available	1	5
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning	Apr 2, 2022	Crop ClassificationSemantic Segmentation	CodeCode Available	1	5
A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels	Jul 12, 2022	Action DetectionActivity Detection	CodeCode Available	1	5
Continual Transformers: Redundancy-Free Attention for Online Inference	Jan 17, 2022	Action DetectionAudio Classification	CodeCode Available	1	5
Continuous Latent Process Flows	Jun 29, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
A Neural PDE Solver with Temporal Stencil Modeling	Feb 16, 2023	Time SeriesTime Series Analysis	CodeCode Available	1	5
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales	Aug 26, 2021	Missing ValuesTime Series Analysis	CodeCode Available	1	5
Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models	Nov 14, 2022	ECG ClassificationState Space Models	CodeCode Available	1	5
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling	Dec 16, 2021	Multivariate Time Series ForecastingPrediction Intervals	CodeCode Available	1	5
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space	Nov 26, 2020	Decision MakingDeep Reinforcement 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