Treffer 1 - 8 von 8 für Suche 'Begashaw, Getnet Bogale', Suchdauer: 0,45s Treffer weiter einschränken
  1. 1
    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016

    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016 von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen


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  2. 2
    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks

    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen

    Veröffentlicht in BioData mining

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  3. 3
    Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002-2016)

    Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002-2016) von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen

    Veröffentlicht in Frontiers in public health

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  4. 4
    Demonstrating the Performance of Accelerated Failure Time Model Over Cox-PH Model of Survival Data Analysis with Application to HIV-Infected Patients Under HAART

    Demonstrating the Performance of Accelerated Failure Time Model Over Cox-PH Model of Survival Data Analysis with Application to HIV-Infected Patients Under HAART von Bogale Begashaw, Getnet


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  5. 5
    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002–2016

    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002–2016 von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen


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  6. 6
    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks

    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen

    Veröffentlicht in BioData Mining

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  7. 7
    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks

    A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen

    Veröffentlicht in BioData Mining

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  8. 8
    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016

    Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016 von Begashaw, Getnet Bogale, Zewotir, Temesgen, Fenta, Haile Mekonnen


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