Search Results - Hasic, Jasminka

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  1. 1
    Using data science for medical decision making case: role of gut microbiome in multiple sclerosis

    Using data science for medical decision making case: role of gut microbiome in multiple sclerosis by Hasic Telalovic, Jasminka, Music, Azra

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  2. 2
    A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy

    A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy by Hasic Telalovic, Jasminka, Pillozzi, Serena, Fabbri, Rachele, Laffi, Alice, Lavacchi, Daniele, Rossi, Virginia, Dreoni, Lorenzo, Spada, Francesca, Fazio, Nicola, Amedei, Amedeo, Iadanza, Ernesto, Antonuzzo, Lorenzo

    Published in Diagnostics (Basel)
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  3. 3
    Gut microbiota and artificial intelligence approaches: A scoping review

    Gut microbiota and artificial intelligence approaches: A scoping review by Iadanza, Ernesto, Fabbri, Rachele, Bašić-ČiČak, Džana, Amedei, Amedeo, Telalovic, Jasminka Hasic

    Published in Health and technology
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  4. 4
    Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina

    Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Bašić-Čičak, Džana, Hasić Telalović, Jasminka, Pašić, Lejla

    Published in Diagnostics (Basel)
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  5. 5
    Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

    Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment by Marcos-Zambrano, Laura Judith, Karaduzovic-Hadziabdic, Kanita, Loncar Turukalo, Tatjana, Przymus, Piotr, Trajkovik, Vladimir, Aasmets, Oliver, Berland, Magali, Gruca, Aleksandra, Hasic, Jasminka, Hron, Karel, Klammsteiner, Thomas, Kolev, Mikhail, Lahti, Leo, Lopes, Marta B, Moreno, Victor, Naskinova, Irina, Org, Elin, Paciência, Inês, Papoutsoglou, Georgios, Shigdel, Rajesh, Stres, Blaz, Vilne, Baiba, Yousef, Malik, Zdravevski, Eftim, Tsamardinos, Ioannis, Carrillo de Santa Pau, Enrique, Claesson, Marcus J, Moreno-Indias, Isabel, Truu, Jaak

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  6. 6
    Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

    Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action by D'Elia, Domenica, Truu, Jaak, Lahti, Leo, Berland, Magali, Papoutsoglou, Georgios, Ceci, Michelangelo, Zomer, Aldert, Lopes, Marta B, Ibrahimi, Eliana, Gruca, Aleksandra, Nechyporenko, Alina, Frohme, Marcus, Klammsteiner, Thomas, Pau, Enrique Carrillo-de Santa, Marcos-Zambrano, Laura Judith, Hron, Karel, Pio, Gianvito, Simeon, Andrea, Suharoschi, Ramona, Moreno-Indias, Isabel, Temko, Andriy, Nedyalkova, Miroslava, Apostol, Elena-Simona, Truică, Ciprian-Octavian, Shigdel, Rajesh, Telalović, Jasminka Hasić, Bongcam-Rudloff, Erik, Przymus, Piotr, Jordamović, Naida Babić, Falquet, Laurent, Tarazona, Sonia, Sampri, Alexia, Isola, Gaetano, Pérez-Serrano, David, Trajkovik, Vladimir, Klucar, Lubos, Loncar-Turukalo, Tatjana, Havulinna, Aki S, Jansen, Christian, Bertelsen, Randi J, Claesson, Marcus Joakim

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  7. 7
    Assessment of multi-exposure HDR image deghosting methods

    Assessment of multi-exposure HDR image deghosting methods by Karađuzović-Hadžiabdić, Kanita, Hasić Telalović, Jasminka, Mantiuk, Rafał K.

    Published in Computers & graphics
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  8. 8
    Perceptually guided high-fidelity rendering exploiting movement bias in visual attention

    Perceptually guided high-fidelity rendering exploiting movement bias in visual attention by Hasic, Jasminka, Chalmers, Alan, Sikudova, Elena

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  9. 9
    Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

    Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment by Marcos-Zambrano, Laura Judith, Hadziabdic, Kanita Karaduzovic, Turukalo, Tatjana Loncar, Przymus, Piotr, Trajkovik, Vladimir, Aasmets, Oliver, Berland, Magali, Gruca, Aleksandra, Hasic, Jasminka, Hron, Karel, Klammsteiner, Thomas, Kolev, Mikhail, Lahti, Leo, Lopes, Marta B, Moreno, Victor, Naskinova, Irina, Org, Elin, Paciencia, Ines, Papoutsoglou, Georgios, Shigdel, Rajesh, Stres, Blaz, Vilne, Baiba, Yousef, Malik, Zdravevski, Eftim, Tsamardinos, Ioannis, Carrillo de Santa Pau, Enrique, Claesson, Marcus J, Moreno-Indias, Isabel, Truu, Jaak

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  10. 10
    An Efficient Dynamic and Distributed RSA Accumulator

    An Efficient Dynamic and Distributed RSA Accumulator by Goodrich, Michael T, Tamassia, Roberto, Hasic, Jasminka

    Published in arXiv.org
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  11. 11
    Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

    Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action by D’Elia, Domenica, Truu, Jaak, Lahti, Leo, Berland, Magali, Papoutsoglou, Georgios, Ceci, Michelangelo, Zomer, Aldert, Lopes, Marta B, Ibrahimi, Eliana, Gruca, Aleksandra, Nechyporenko, Alina, Frohme, Marcus, Klammsteiner, Thomas, Pau, Enrique Carrillo-de Santa, Marcos-Zambrano, Laura Judith, Hron, Karel, Pio, Gianvito, Simeon, Andrea, Suharoschi, Ramona, Moreno-Indias, Isabel, Temko, Andriy, Nedyalkova, Miroslava, Apostol, Elena-Simona, Truică, Ciprian-Octavian, Shigdel, Rajesh, Telalović, Jasminka Hasić, Bongcam-Rudloff, Erik, Przymus, Piotr, Jordamović, Naida Babić, Falquet, Laurent, Tarazona, Sonia, Sampri, Alexia, Isola, Gaetano, Pérez-Serrano, David, Trajkovik, Vladimir, Klucar, Lubos, Loncar-Turukalo, Tatjana, Havulinna, Aki S, Jansen, Christian, Bertelsen, Randi Jacobsen, Claesson, Marcus Joakim

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