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 3801–3810 of 6748 papers

Title	Date	Tasks	Status
SARS-COV-2 Pandemic: Understanding the Impact of Lockdown in the Most Affected States of India	Apr 28, 2020	Change Point DetectionTime Series	—Unverified
Scalable and Hybrid Ensemble-Based Causality Discovery	Dec 24, 2020	BenchmarkingDistributed Computing	—Unverified
Scalable Deployment of AI Time-series Models for IoT	Mar 24, 2020	Cloud ComputingFeature Engineering	—Unverified
Scalable Discovery of Time-Series Shapelets	Mar 11, 2015	ClusteringGeneral Classification	—Unverified
Scalable Gradients and Variational Inference for Stochastic Differential Equations	Oct 16, 2019	Time SeriesTime Series Analysis	—Unverified
Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations	Nov 23, 2020	Time SeriesTime Series Analysis	—Unverified
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering	Jan 7, 2020	ClusteringMissing Values	—Unverified
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction	Aug 16, 2017	Gaussian ProcessesImputation	—Unverified
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies	Mar 10, 2016	Causal InferenceTime Series	—Unverified
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos	Mar 26, 2018	Decision Makingreinforcement-learning	—Unverified

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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