Search Results - Morandin, Giulia

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  1. 1
    Serenoa repens and Urtica dioica Fixed Combination: In-Vitro Validation of a Therapy for Benign Prostatic Hyperplasia (BPH)

    Serenoa repens and Urtica dioica Fixed Combination: In-Vitro Validation of a Therapy for Benign Prostatic Hyperplasia (BPH) by Saponaro, Miriam, Giacomini, Isabella, Morandin, Giulia, Cocetta, Veronica, Ragazzi, Eugenio, Orso, Genny, Carnevali, Ilaria, Berretta, Massimiliano, Mancini, Mariangela, Pagano, Francesco, Montopoli, Monica

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  2. 2
    Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions

    Identification of hidden associations among eukaryotic genes through statistical analysis of coevolutionary transitions by Dembech, Elena, Malatesta, Marco, De Rito, Carlo, Mori, Giulia, Cavazzini, Davide, Secchi, Andrea, Morandin, Francesco, Percudani, Riccardo

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  3. 3
    COTAN: scRNA-seq data analysis based on gene co-expression

    COTAN: scRNA-seq data analysis based on gene co-expression by Galfrè, Silvia Giulia, Morandin, Francesco, Pietrosanto, Marco, Cremisi, Federico, Helmer-Citterich, Manuela

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  4. 4
    Increasing biases can be more efficient than increasing weights

    Increasing biases can be more efficient than increasing weights by Metta, Carlo, Fantozzi, Marco, Papini, Andrea, Amato, Gianluca, Bergamaschi, Matteo, Galfre, Silvia Giulia, Marchetti, Alessandro, Veglio, Michelangelo, Parton, Maurizio, Morandin, Francesco

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  5. 5
    TAMGeS: a Three-array Method for Genotyping of SNPs by a dual-colour approach

    TAMGeS: a Three-array Method for Genotyping of SNPs by a dual-colour approach by Cozza, Arianna, Morandin, Francesco, Galfrè, Silvia Giulia, Mariotti, Veronica, Marangoni, Roberto, Pellegrini, Silvia

    Published in BMC genomics
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  6. 6
    A mathematical framework for raw counts of single-cell RNA-seq data analysis

    A mathematical framework for raw counts of single-cell RNA-seq data analysis by Galfre', Silvia Giulia, Morandin, Francesco

    Published in arXiv.org
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  7. 7
    A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning

    A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning by Angileri, Flora, Lombardi, Giulia, Fois, Andrea, Faraone, Renato, Metta, Carlo, Salvi, Michele, Bianchi, Luigi Amedeo, Fantozzi, Marco, Galfrè, Silvia Giulia, Pavesi, Daniele, Parton, Maurizio, Morandin, Francesco

    Published in arXiv.org
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  8. 8
    Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024

    Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024 by Metta, Carlo, Gregnanin, Marco, Papini, Andrea, Galfrè, Silvia Giulia, Fois, Andrea, Morandin, Francesco, Fantozzi, Marco, Parton, Maurizio

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  9. 9
    Increasing biases can be more efficient than increasing weights

    Increasing biases can be more efficient than increasing weights by Metta, Carlo, Fantozzi, Marco, Papini, Andrea, Amato, Gianluca, Bergamaschi, Matteo, Galfrè, Silvia Giulia, Marchetti, Alessandro, Vegliò, Michelangelo, Parton, Maurizio, Morandin, Francesco

    Published in arXiv.org
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