A First Approach in the Class Noise Filtering Approaches for Fuzzy Subgroup Discovery

Advances in Intelligent Systems and Computing - 10th International Conference on Soft Computing Models in Industrial and Environmental Applications ◽

10.1007/978-3-319-19719-7_34 ◽

2015 ◽

pp. 387-399

Author(s):

C. J. Carmona ◽

J. Luengo

Keyword(s):

Subgroup Discovery ◽

Noise Filtering ◽

Class Noise ◽

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Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2018.2873791 ◽

2019 ◽

Vol 31 (11) ◽

pp. 2063-2078 ◽

Author(s):

Shuyin Xia ◽

Guoyin Wang ◽

Zizhong Chen ◽

Yanlin Duan ◽

Qun liu

Keyword(s):

Random Forest ◽

Noise Filtering ◽

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On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods

Applied Artificial Intelligence ◽

10.1080/08839514.2016.1193719 ◽

2016 ◽

Vol 30 (6) ◽

pp. 590-609 ◽

Author(s):

José A. Sáez ◽

Bartosz Krawczyk ◽

Michał Woźniak

Keyword(s):

Data Classification ◽

Medical Data ◽

Noise Filtering ◽

Class Noise ◽

Medical Data Classification

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Robustness of a Noise Filtering Procedure for Correlation Matrices: B. Filtering of Deliberately Introduced Noise from 'True' Correlation Matrices

SSRN Electronic Journal ◽

10.2139/ssrn.2378974 ◽

2013 ◽

Author(s):

Alexander F. Izmailov ◽

Brian Shay

Keyword(s):

Noise Filtering ◽

Correlation Matrices ◽

Filtering Procedure ◽

True Correlation

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Optical amplifier noise reduction in mm-wave links by signal-ASE noise filtering

Electronics Letters ◽

10.1049/el:19990084 ◽

1999 ◽

Vol 35 (2) ◽

pp. 159 ◽

Author(s):

R.A. Griffin ◽

P.M. Lane ◽

J.J. O'Reilly

Keyword(s):

Noise Reduction ◽

Optical Amplifier ◽

Noise Filtering ◽

Amplifier Noise

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Distant Supervision for Relation Extraction via Noise Filtering

2021 13th International Conference on Machine Learning and Computing ◽

10.1145/3457682.3457743 ◽

2021 ◽

Author(s):

Jing Chen ◽

Zhiqiang Guo ◽

Jie Yang

Keyword(s):

Relation Extraction ◽

Noise Filtering ◽

Distant Supervision

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Classification rule learning using subgroup discovery of cross-domain attributes responsible for design-silicon mismatch

Proceedings of the 47th Design Automation Conference on - DAC '10 ◽

10.1145/1837274.1837368 ◽

2010 ◽

Author(s):

Nicholas Callegari ◽

Dragoljub (Gagi) Drmanac ◽

Li-C. Wang ◽

Magdy S. Abadir

Keyword(s):

Rule Learning ◽

Classification Rule ◽

Subgroup Discovery ◽

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Subgroup discovery in non‐inferiority trials

Statistics in Medicine ◽

10.1002/sim.9118 ◽

2021 ◽

Author(s):

Melissa J. Fazzari ◽

Mimi Y. Kim

Keyword(s):

Subgroup Discovery

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t – norm (δ, γ) - Fuzzy Subgroup and their Properties

Journal of Physics Conference Series ◽

10.1088/1742-6596/1724/1/012003 ◽

2021 ◽

Vol 1724 (1) ◽

pp. 012003

Author(s):

X Arul Selvaraj ◽

J Jayaraj

Keyword(s):

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End group analysis of poly (methylmethacrylate)s using the most abundant peak in electrospray ionization‐ion mobility spectrometry‐tandem mass spectrometry and Fourier transform‐based noise filtering

Rapid Communications in Mass Spectrometry ◽

10.1002/rcm.9176 ◽

2021 ◽

Author(s):

Mizuki Omae ◽

Yuka Ozeki ◽

Shinya Kitagawa ◽

Hajime Ohtani

Keyword(s):

Mass Spectrometry ◽

Fourier Transform ◽

Tandem Mass Spectrometry ◽

Electrospray Ionization ◽

Ion Mobility Spectrometry ◽

Ion Mobility ◽

Group Analysis ◽

Noise Filtering ◽

Tandem Mass ◽

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Background Noise Filtering and Distribution Dividing for Crowd Counting

IEEE Transactions on Image Processing ◽

10.1109/tip.2020.3009030 ◽

2020 ◽

Vol 29 ◽

pp. 8199-8212

Author(s):

Hong Mo ◽

Wenqi Ren ◽

Yuan Xiong ◽

Xiaoqi Pan ◽

Zhong Zhou ◽

...

Keyword(s):

Background Noise ◽

Noise Filtering ◽

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