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 331–340 of 6748 papers

Title	Date	Tasks	Status	Hype	Score
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons	Feb 28, 2020	Time Series Analysis	CodeCode Available	1	5
A Transformer-based Framework for Multivariate Time Series Representation Learning	Oct 6, 2020	Computational EfficiencyGeneral Classification	CodeCode Available	1	5
Anytime-valid off-policy inference for contextual bandits	Oct 19, 2022	counterfactualMulti-Armed Bandits	CodeCode Available	1	5
DeepVARwT: Deep Learning for a VAR Model with Trend	Sep 21, 2022	Deep LearningTime Series	CodeCode Available	1	5
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics	Jun 7, 2022	Dictionary LearningTime Series Analysis	CodeCode Available	1	5
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation	Jun 6, 2020	Activity RecognitionDeep Learning	CodeCode Available	1	5
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate	Sep 20, 2022	Structural Health MonitoringTime Series	CodeCode Available	1	5
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning	Nov 29, 2020	BIG-bench Machine LearningInterpretable Machine Learning	CodeCode Available	1	5
Attention based Multi-Modal New Product Sales Time-series Forecasting	Aug 23, 2020	DecoderNew Product Sales Forecasting	CodeCode Available	1	5
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments	Jun 26, 2021	High-Level SynthesisTime 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