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 361–370 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation	Jun 13, 2023	Heart rate estimationPhotoplethysmography (PPG) heart rate estimation	CodeCode Available	1	5
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions	Aug 18, 2022	Image InpaintingTime Series	CodeCode Available	1	5
Deep Explicit Duration Switching Models for Time Series	Oct 26, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Bayesian Neural Architecture Search using A Training-Free Performance Metric	Jan 29, 2020	Bayesian OptimizationNeural Architecture Search	CodeCode Available	1	5
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments	Jun 26, 2021	High-Level SynthesisTime Series	CodeCode Available	1	5
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time	Jun 13, 2022	Gesture RecognitionLanguage Modeling	CodeCode Available	1	5
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis	Oct 18, 2023	Anomaly DetectionImputation	CodeCode Available	1	5
Benchmarking Deep Learning Interpretability in Time Series Predictions	Oct 26, 2020	BenchmarkingDeep Learning	CodeCode Available	1	5
Deep and Confident Prediction for Time Series at Uber	Sep 6, 2017	Anomaly DetectionPrediction	CodeCode Available	1	5
Decoupling Local and Global Representations of Time Series	Feb 4, 2022	counterfactualTime Series	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