A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data

Genomics Data ◽

10.1016/j.gdata.2016.02.012 ◽

2016 ◽

Vol 8 ◽

pp. 4-15 ◽

Author(s):

Rabia Aziz ◽

C.K. Verma ◽

Namita Srivastava

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Microarray Data ◽

Independent Component ◽

Machine Learning Classification

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Filter-Based Feature Selection and Machine-Learning Classification of Cancer Data

Intelligent Automation & Soft Computing ◽

10.32604/iasc.2021.015460 ◽

2021 ◽

Vol 28 (1) ◽

pp. 83-92

Author(s):

Mohammed Farsi

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Cancer Data ◽

Machine Learning Classification

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Machine learning approaches for classification of colorectal cancer with and without feature selection method on Microarray Data

Gene Reports ◽

10.1016/j.genrep.2021.101419 ◽

2021 ◽

pp. 101419

Author(s):

Elham Nazari ◽

Mehran Aghemiri ◽

Amir Avan ◽

Amin Mehrabian ◽

Hamed Tabesh

Keyword(s):

Colorectal Cancer ◽

Machine Learning ◽

Feature Selection ◽

Microarray Data ◽

Feature Selection Method ◽

Selection Method ◽

Learning Approaches

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Feature Selection and Classification of Microarray Data Using Machine Learning Techniques

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology ◽

10.1016/b978-0-12-804203-8.00015-8 ◽

2016 ◽

pp. 213-242

Author(s):

M. Kumar ◽

S.K. Rath

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Microarray Data ◽

Machine Learning Techniques ◽

Learning Techniques

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Significance of Feature Selection and Pruning Algorithms in Machine Learning Classification of E-Mails

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities - Studies in Computational Intelligence ◽

10.1007/978-3-030-72236-4_2 ◽

2021 ◽

pp. 29-50

Author(s):

V. Bindu ◽

Ciza Thomas

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Machine Learning Classification ◽

Pruning Algorithms

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Machine Learning Classification of Spinal Lesions: Compared Accuracy of Texture Parameters Extracted by Different Software

10.1055/s-0039-1692578 ◽

2019 ◽

Author(s):

V. Chianca ◽

D. Albano ◽

R. Cuocolo ◽

C. Messina ◽

S. Gitto ◽

...

Keyword(s):

Machine Learning ◽

Machine Learning Classification ◽

Spinal Lesions ◽

Texture Parameters

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Machine Learning Classification of Low-grade and High-grade Chondrosarcomas Based on MRI-based Texture Analysis

10.1055/s-0039-1692575 ◽

2019 ◽

Author(s):

S. Gitto ◽

D. Albano ◽

V. Chianca ◽

R. Cuocolo ◽

L. Ugga ◽

...

Keyword(s):

Machine Learning ◽

Texture Analysis ◽

Low Grade ◽

Machine Learning Classification

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Detection With Firefly Algorithm (FA) Based Feature Selection Forautism Spectrum Disorder (ASD) and Machine Learning Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.992998 ◽

2019 ◽

Vol 7 (5) ◽

pp. 992-998

Author(s):

R. Rajeswari ◽

R.S. Padma Priya

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Firefly Algorithm ◽

Spectrum Disorder ◽

Machine Learning Classification

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Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.11480 ◽

2020 ◽

Vol 13 (5) ◽

pp. 508-523 ◽

Author(s):

Guan‐Hua Huang ◽

Chih‐Hsuan Lin ◽

Yu‐Ren Cai ◽

Tai‐Been Chen ◽

Shih‐Yen Hsu ◽

...

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Stage ◽

Brain Images ◽

Functional Brain ◽

Machine Learning Classification

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Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions

Magnetic Resonance Imaging ◽

10.1016/j.mri.2021.03.009 ◽

2021 ◽

Vol 79 ◽

pp. 52-58

Author(s):

Arnaldo Stanzione ◽

Renato Cuocolo ◽

Francesco Verde ◽

Roberta Galatola ◽

Valeria Romeo ◽

...

Keyword(s):

Machine Learning ◽

Machine Learning Classification

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Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?

Heliyon ◽

10.1016/j.heliyon.2021.e06257 ◽

2021 ◽

Vol 7 (2) ◽

pp. e06257

Author(s):

Ennio Idrobo-Ávila ◽

Humberto Loaiza-Correa ◽

Rubiel Vargas-Cañas ◽

Flavio Muñoz-Bolaños ◽

Leon van Noorden

Keyword(s):

Machine Learning ◽

Information Retrieval ◽

Music Information Retrieval ◽

Machine Learning Classification ◽

Information Retrieval Methods ◽

Music Information

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