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 2221–2230 of 6748 papers

Title	Date	Tasks	Status
Class-Specific Attention (CSA) for Time-Series Classification	Nov 19, 2022	ClassificationTime Series	—Unverified
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics	Feb 2, 2023	DiagnosticTime Series	—Unverified
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis	Oct 21, 2019	Dynamic Time WarpingTime Series	—Unverified
Entropy Analysis of Financial Time Series	Jul 25, 2018	State Space ModelsTime Series	—Unverified
Classifying Pattern and Feature Properties to Get a Θ(n) Checker and Reformulation for Sliding Time-Series Constraints	Dec 3, 2019	Time SeriesTime Series Analysis	—Unverified
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves	Oct 24, 2022	ClusteringData Visualization	—Unverified
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks	Apr 28, 2020	ClassificationGeneral Classification	—Unverified
Classifying Human Activities using Machine Learning and Deep Learning Techniques	May 19, 2022	Activity RecognitionBIG-bench Machine Learning	—Unverified
Adaptive hedging horizon and hedging performance estimation	Feb 1, 2023	Time SeriesTime Series Analysis	—Unverified
Classifying Frames at the Sentence Level in News Articles	Sep 1, 2017	ArticlesGeneral Classification	—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