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Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model
Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model
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Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model

Khatami, Ehsan

Journal of physics. Conference series, 2019-10, Vol.1290 (1), p.12006 [Periódico revisado por pares]

Bristol: IOP Publishing

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2
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
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Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data

Nag, Ambarish ; Gerritsen, Alida ; Doeppke, Crissa ; Harman-Ware, Anne E

International journal of molecular sciences, 2021-04, Vol.22 (8), p.4107 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
On Facial Expression Recognition Benchmarks
On Facial Expression Recognition Benchmarks
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On Facial Expression Recognition Benchmarks

Owusu, Ebenezer ; Kumi, Jacqueline Asor ; Appati, Justice Kwame Ejbali, Ridha ; Ridha Ejbali

Applied Computational Intelligence and Soft Computing, 2021-09, Vol.2021, p.1-20 [Periódico revisado por pares]

New York: Hindawi

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4
Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction
Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction
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Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction

Richter, Chris ; King, Enda ; Strike, Siobhan ; Franklyn-Miller, Andrew Bergamini, Elena

PloS one, 2019-07, Vol.14 (7), p.e0206024 [Periódico revisado por pares]

United States: Public Library of Science

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5
Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes
Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes
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Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes

Antonopoulos, Alexios S ; Boutsikou, Maria ; Simantiris, Spyridon ; Angelopoulos, Andreas ; Lazaros, George ; Panagiotopoulos, Ioannis ; Oikonomou, Evangelos ; Kanoupaki, Mikela ; Tousoulis, Dimitris ; Mohiaddin, Raad H ; Tsioufis, Konstantinos ; Vlachopoulos, Charalambos

Scientific reports, 2021-12, Vol.11 (1), p.23596-23596, Article 23596 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Classifying sex and strain from mouse ultrasonic vocalizations using deep learning
Classifying sex and strain from mouse ultrasonic vocalizations using deep learning
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Classifying sex and strain from mouse ultrasonic vocalizations using deep learning

Ivanenko, A ; Watkins, P ; van Gerven, M. A. J ; Hammerschmidt, K ; Englitz, B ; Graham, Lyle J ; Theunissen, Frederic E Theunissen, Frédéric E.

PLoS computational biology, 2020-06, Vol.16 (6), p.e1007918-e1007918 [Periódico revisado por pares]

San Francisco: Public Library of Science

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7
Histopathological Classification of Breast Cancer Images Using a Multi-Scale Input and Multi-Feature Network
Histopathological Classification of Breast Cancer Images Using a Multi-Scale Input and Multi-Feature Network
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Histopathological Classification of Breast Cancer Images Using a Multi-Scale Input and Multi-Feature Network

Sheikh, Taimoor Shakeel ; Lee, Yonghee ; Cho, Migyung

Cancers, 2020-08, Vol.12 (8), p.2031 [Periódico revisado por pares]

Basel: MDPI AG

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8
Energy inefficiency diagnosis in industrial process through one-class machine learning techniques
Energy inefficiency diagnosis in industrial process through one-class machine learning techniques
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Energy inefficiency diagnosis in industrial process through one-class machine learning techniques

El Koujok, Mohamed ; Ghezzaz, Hakim ; Amazouz, Mouloud

Journal of intelligent manufacturing, 2021-10, Vol.32 (7), p.2043-2060 [Periódico revisado por pares]

New York: Springer US

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9
A Hybrid Multiple Indefinite Kernel Learning Framework for Disease Classification from Gene Expression Data
A Hybrid Multiple Indefinite Kernel Learning Framework for Disease Classification from Gene Expression Data
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A Hybrid Multiple Indefinite Kernel Learning Framework for Disease Classification from Gene Expression Data

S, Swetha ; N, Srinivasan G ; P, Dayananda

International journal of advanced computer science & applications, 2023, Vol.14 (6)

West Yorkshire: Science and Information (SAI) Organization Limited

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10
Retinal Diseases Classification Using Levenberg-Marquath (LM) Learning Algorithm for Pi Sigma Network (PSN) and Principal Component Analysis (PCA) Methods
Retinal Diseases Classification Using Levenberg-Marquath (LM) Learning Algorithm for Pi Sigma Network (PSN) and Principal Component Analysis (PCA) Methods
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Retinal Diseases Classification Using Levenberg-Marquath (LM) Learning Algorithm for Pi Sigma Network (PSN) and Principal Component Analysis (PCA) Methods

Swasono, S ; Damayanti, A ; Pratiwi, A B

Journal of physics. Conference series, 2019-08, Vol.1306 (1), p.12048 [Periódico revisado por pares]

Bristol: IOP Publishing

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