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Page 1
Machine learning techniques on homological persistence features for prostate cancer diagnosis.
BMC Bioinformatics. 2022 Nov 12;23(1):476. doi: 10.1186/s12859-022-04992-5.
BMC Bioinformatics. 2022.
PMID: 36371184
Free PMC article.
Selection of discriminant mid-infrared wavenumbers by combining a naïve Bayesian classifier and a genetic algorithm: Application to the evaluation of lignocellulosic biomass biodegradation.
Rammal A, Perrin E, Vrabie V, Assaf R, Fenniri H.
Rammal A, et al.
Math Biosci. 2017 Jul;289:153-161. doi: 10.1016/j.mbs.2017.05.002. Epub 2017 May 13.
Math Biosci. 2017.
PMID: 28511958
Review.
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Root cause prediction for failures in semiconductor industry, a genetic algorithm-machine learning approach.
Rammal A, Ezukwoke K, Hoayek A, Batton-Hubert M.
Rammal A, et al.
Sci Rep. 2023 Mar 27;13(1):4934. doi: 10.1038/s41598-023-30769-8.
Sci Rep. 2023.
PMID: 36973298
Free PMC article.
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Path Analysis to Assess Socio-Economic and Mitigation Measure Determinants for Daily Coronavirus Infections.
Yammine E, Rammal A.
Yammine E, et al. Among authors: rammal a.
Int J Environ Res Public Health. 2021 Sep 25;18(19):10071. doi: 10.3390/ijerph181910071.
Int J Environ Res Public Health. 2021.
PMID: 34639373
Free PMC article.
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Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm.
Rammal A, Perrin E, Chabbert B, Bertrand I, Habrant A, Lecart B, Vrabie V.
Rammal A, et al.
Appl Spectrosc. 2015 Nov;69(11):1303-12. doi: 10.1366/15-07928.
Appl Spectrosc. 2015.
PMID: 26647053
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