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Artikel 6621 Using machine learning algorithms to identify genes essential for cell survival
Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
Online Ressource
Artikel 6622 Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors
Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 6623 Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data
Enthalten in Journal of Big Data Bd. 9, 29.4.2022, Nr. 1, date:12.2022: 1-20
Online Ressource
Artikel 6624 Using multi-objective evolutionary algorithms to predict the parameters that determine membrane resonance in a biophysical model of bursting neurons
Enthalten in BMC neuroscience Bd. 15, 21.7.2014, Nr. 1, date:7.2014: 1-2
Online Ressource
Artikel 6625 Using sentinel-2 satellite images and machine learning algorithms to predict tropical pasture forage mass, crude protein, and fiber content
Enthalten in Scientific reports Bd. 14, 15.4.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 6626 Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms
Enthalten in BMC bioinformatics Bd. 18, 18.3.2017, Nr. 1, date:12.2017: 1-12
Online Ressource
Artikel 6627 USING SMOS PASSIVE MICROWAVE DATA TO DEVELOP SMAP FREEZE/THAW ALGORITHMS ADAPTED FOR THE CANADIAN SUBARCTIC
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W5, 2015: 365-368
Online Ressource
Artikel 6628 Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments
Enthalten in BMC bioinformatics Bd. 22, 23.9.2021, Nr. 1, date:12.2021: 1-17
Online Ressource
Artikel 6629 Using stochastic algorithms for constraining compartmental and markov channel models
Enthalten in BMC neuroscience Bd. 10, 13.7.2009, Nr. 1, date:9.2009: 1
Online Ressource
Artikel 6630 Using the minimum description length principle to reduce the rate of false positives of best-fit algorithms
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on bioinformatics and systems biology Bd. 2014, 3.7.2014, Nr. 1, date:12.2014: 1-8
Online Ressource


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