Výsledky vyhľadávania - "classification algorithms"

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  1. 1

    Performance comparison of different classification algorithms applied to the diagnosis of familial hypercholesterolemia in paediatric subjects Autor Albuquerque, João, Medeiros, Ana Margarida, Alves, Ana Catarina, Bourbon, Mafalda, Antunes, Marília

    ISSN: 2045-2322, 2045-2322
    Vydavateľské údaje: London Nature Publishing Group UK 21.01.2022
    Vydané v Scientific reports (21.01.2022)
    “…Familial Hypercholesterolemia (FH) is an inherited disorder of lipid metabolism, characterized by increased low density lipoprotein cholesterol (LDLc) levels…”
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    Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys Autor Ferri-García, Ramón, Rueda, María del Mar

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 22.04.2020
    Vydané v PloS one (22.04.2020)
    “…Modern survey methods may be subject to non-observable bias, from various sources…”
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    A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms Autor Haba, Rotem, Singer, Gonen, Naftali, Sara, Kramer, Mordechai R., Ratnovsky, Anat

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: Elsevier Ltd 01.08.2023
    Vydané v Expert systems with applications (01.08.2023)
    “… a subject’s asthma severity levels.•Identifications were made based on subject’s data, new subject’s data, and mixed data…”
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    Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers Autor Janke, Jonathan, Castelli, Mauro, Popovič, Aleš

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: New York Elsevier Ltd 30.11.2019
    Vydané v Expert systems with applications (30.11.2019)
    “…•Research that investigates CNN architectures for classification task.•Two steps method that combines CNN with other ML classifiers.•Large experimental phase…”
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    Detecting cognitive impairment by eye movement analysis using automatic classification algorithms Autor Lagun, Dmitry, Manzanares, Cecelia, Zola, Stuart M., Buffalo, Elizabeth A., Agichtein, Eugene

    ISSN: 0165-0270, 1872-678X, 1872-678X
    Vydavateľské údaje: Netherlands Elsevier B.V 30.09.2011
    Vydané v Journal of neuroscience methods (30.09.2011)
    “… ► An effective representation of eye movement characteristics such as fixations, saccades, and re-fixations as features for automatic classification algorithms…”
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    Diagnostic accuracy of swept source optical coherence tomography classification algorithms for detection of gonioscopic angle closure Autor Tan, Shayne S, Tun, Tin A, Sultana, Rehena, Tan, Marcus, Quah, Joanne HuiMin, Mani, Baskaran, Allen, John C, Cheng, Ching Yu, Nongpiur, Monisha Esther, Aung, Tin

    ISSN: 0007-1161, 1468-2079, 1468-2079
    Vydavateľské údaje: BMA House, Tavistock Square, London, WC1H 9JR BMJ Publishing Group Ltd 01.12.2022
    Vydané v British journal of ophthalmology (01.12.2022)
    “… algorithms.MethodsThis was a cross-sectional study of 2028 subjects without ophthalmic symptoms recruited from a community-based clinic…”
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    Classification algorithms based on anterior segment optical coherence tomography measurements for detection of angle closure Autor Nongpiur, Monisha E, Haaland, Benjamin A, Friedman, David S, Perera, Shamira A, He, Mingguang, Foo, Li-Lian, Baskaran, Mani, Sakata, Lisandro M, Wong, Tien Y, Aung, Tin

    ISSN: 1549-4713, 1549-4713
    Vydavateľské údaje: United States 01.01.2013
    Vydané v Ophthalmology (Rochester, Minn.) (01.01.2013)
    “… The aim of this study was to evaluate classification algorithms based on ASOCT measurements for the detection of gonioscopic angle closure…”
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    Type inference in flexible model-driven engineering using classification algorithms Autor Zolotas, Athanasios, Matragkas, Nicholas, Devlin, Sam, Kolovos, Dimitrios S., Paige, Richard F.

    ISSN: 1619-1366, 1619-1374
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2019
    Vydané v Software and systems modeling (01.02.2019)
    “…Flexible or bottom-up model-driven engineering (MDE) is an emerging approach to domain and systems modelling. Domain experts, who have detailed domain…”
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    Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners Autor Barbon, Sylvio, Guido, Rodrigo Capobianco, Aguiar, Gabriel Jonas, Santana, Everton José, Proença, Mario Lemes, Patil, Hemant A.

    ISSN: 0167-6393, 1872-7182
    Vydavateľské údaje: Elsevier B.V 01.07.2023
    Vydané v Speech communication (01.07.2023)
    “… Usual strategies, essentially based on machine learning (ML) algorithms, commonly classify a subject as being either healthy or pathologically-affected…”
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    Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG) Autor Lehmann, Christoph, Koenig, Thomas, Jelic, Vesna, Prichep, Leslie, John, Roy E., Wahlund, Lars-Olof, Dodge, Yadolah, Dierks, Thomas

    ISSN: 0165-0270, 1872-678X
    Vydavateľské údaje: Netherlands Elsevier B.V 15.04.2007
    Vydané v Journal of neuroscience methods (15.04.2007)
    “… Here we explored the ability of a multitude of linear and non-linear classification algorithms to discriminate between the electroencephalograms (EEGs…”
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    Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG Autor Roldan-Vasco, Sebastian, Restrepo-Agudelo, Sebastian, Valencia-Martinez, Yorhagy, Orozco-Duque, Andres

    ISSN: 1050-6411, 1873-5711, 1873-5711
    Vydavateľské údaje: England Elsevier Ltd 01.12.2018
    “…). Eight acquisition channels recorded the EMG activity of 47 healthy subjects while they swallowed water, yogurt and saliva…”
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    Breast cancer prediction using machine learning classification algorithms Autor La Moglia, Alan, Mohamad Almustafa, Khaled

    ISSN: 2666-5212, 2666-5212
    Vydavateľské údaje: Elsevier B.V 01.01.2025
    Vydané v Intelligence-based medicine (01.01.2025)
    “… 70 % accurate, leading to potential misdiagnosis. Biopsies, though more reliable, are subject to human error and conflicting specialist opinions, often requiring multiple biopsies…”
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    Parkinson's Disease Prediction Using Deep Learning Classification Algorithms Autor Kayacioglu, Rumeysa, Kaсar, Fırat

    ISSN: 2311-6951, 1996-353X
    Vydavateľské údaje: 25.02.2025
    “…complaints arising from neurological disorders continue to increase today. At the same time, studies on diagnosis and treatment methods in medicine are…”
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    Exploring the performance of a functionalized CNT-based sensor array for breathomics through clustering and classification algorithms: from gas sensing of selective biomarkers to discrimination of chronic obstructive pulmonary disease Autor Drera, Giovanni, Freddi, Sonia, Emelianov, Aleksei V, Bobrinetskiy, Ivan I, Chiesa, Maria, Zanotti, Michele, Pagliara, Stefania, Fedorov, Fedor S, Nasibulin, Albert G, Montuschi, Paolo, Sangaletti, Luigi

    ISSN: 2046-2069, 2046-2069
    Vydavateľské údaje: England Royal Society of Chemistry 10.09.2021
    Vydané v RSC advances (10.09.2021)
    “…An array of carbon nanotube (CNT)-based sensors was produced for sensing selective biomarkers and evaluating breathomics applications with the aid of clustering and classification algorithms…”
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    Classification algorithms analysis for brain–computer interface in drug craving therapy Autor Mazzoleni, Mirko, Previdi, Fabio, Bonfiglio, Natale Salvatore

    ISSN: 1746-8094, 1746-8108
    Vydavateľské údaje: Elsevier Ltd 01.07.2019
    “… These measurements are then used to design a better classification algorithm with respect to the default BCI classifier…”
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    Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment Autor Garefalakis, Thodoris, Michelaraki, Eva, Roussou, Stella, Katrakazas, Christos, Brijs, Tom, Yannis, George

    ISSN: 1866-8887, 1867-0717, 1866-8887
    Vydavateľské údaje: Cham Springer International Publishing 01.12.2024
    Vydané v European Transport Research Review (01.12.2024)
    “… To that end, four classification algorithms, namely support vector machines, random forest (RFs), AdaBoost, and multilayer…”
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    Urine Raman spectroscopy for rapid and inexpensive diagnosis of chronic renal failure (CRF) using multiple classification algorithms Autor Chen, Cheng, Yang, Li, Zhao, Jianyong, Yuan, Yushuai, Chen, Chen, Tang, Jun, Yang, Hong, Yan, Ziwei, Wang, Hang, Lv, Xiaoyi

    ISSN: 0030-4026, 1618-1336
    Vydavateľské údaje: Elsevier GmbH 01.02.2020
    Vydané v Optik (Stuttgart) (01.02.2020)
    “… In this study, we first explored Raman spectroscopy to classify urine from CRF patients and control subjects with normal renal function…”
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    A Hybrid Recommender System to Enrollment for Elective Subjects in Engineering Students using Classification Algorithms Autor Rivera, Jerson Erick Herrera

    ISSN: 2158-107X, 2156-5570
    Vydavateľské údaje: West Yorkshire Science and Information (SAI) Organization Limited 2020
    “…One of the main problems that engineering university students face is making the correct decision regarding the lines of elective subjects to enroll based on available information…”
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    Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms Autor Guo, Yu, Graber, Armin, McBurney, Robert N, Balasubramanian, Raji

    ISSN: 1471-2105, 1471-2105
    Vydavateľské údaje: London BioMed Central 03.09.2010
    Vydané v BMC bioinformatics (03.09.2010)
    “…Background Data generated using 'omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of subjects in the study…”
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    Exploring Classification Algorithms for Detecting Learning Loss in Islamic Religious Education: A Comparative Study Autor Sapdi, Rohmat Mulyana, Maylawati, Dian Sa'adillah, Ramdania, Diena Rauda, Budiman, Ichsan, Al-Amin, Muhammad Insan, Fuadi, Mi'raj

    ISSN: 2549-9610, 2549-9904
    Vydavateľské údaje: 31.05.2024
    “… Focusing on the effectiveness of multiple classification algorithms, the research assesses learning loss across literacy, numeracy, writing, and science domains…”
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