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 5051–5060 of 6748 papers

Title	Date	Tasks	Status
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves	Mar 8, 2019	BIG-bench Machine LearningClassification Of Variable Stars	—Unverified
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study	Dec 16, 2020	Causal InferenceTime Series Analysis	—Unverified
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package	Jun 16, 2020	Time SeriesTime Series Analysis	—Unverified
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach	Jul 19, 2019	Time SeriesTime Series Analysis	—Unverified
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models	Nov 7, 2020	Stock Price PredictionTime Series	—Unverified
Time Series Analysis and Modeling to Forecast: a Survey	Mar 31, 2021	SurveyTime Series	—Unverified
Analysis of Advisor Portfolio using Multivariate Time Series and Cosine Similarity	Jul 13, 2018	Time SeriesTime Series Analysis	—Unverified
Analysis of bank leverage via dynamical systems and deep neural networks	Apr 11, 2021	Time SeriesTime Series Analysis	—Unverified
Analysis of bio-electro-chemical signals from passive sweat-based wearable electro-impedance spectroscopy (EIS) towards assessing blood glucose modulations	Apr 5, 2021	Time Series Analysis	—Unverified
Analysis of Blink Rate Variability during reading and memory testing	Mar 27, 2016	EEGElectroencephalogram (EEG)	—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