Search Results - "Popivanov, Ivan"

Rare host variants in ciliary expressed genes contribute to COVID-19 severity in Bulgarian patients by Kamenarova, Kunka, Kachakova-Yordanova, Darina, Baymakova, Magdalena, Georgiev, Martin, Mihova, Kalina, Petkova, Veronika, Beltcheva, Olga, Argirova, Radka, Atanasov, Petar, Kunchev, Metodi, Andonova, Radina, Zasheva, Anelia, Drenska, Rumiana, Ivanov, Ivaylo, Pantileeva, Diana, Koleva, Vesselina, Penev, Anton, Lekova-Nikova, Diana, Georgiev, Delyan, Pencheva, Daniela, Bozhilova, Radosveta, Ivanova, Nevyana, Dimova, Ivanka, Plochev, Kamen, Popov, Georgi, Popivanov, Ivan, Gabrovsky, Nikolay, Leseva, Magdalena, Mitev, Vanio, Kaneva, Radka

“…Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a pneumonia with extremely heterogeneous clinical…”
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Students' Attitudes toward COVID-19 Vaccination: An Inter-University Study from Bulgaria by Moskova, Martina, Zasheva, Anelia, Kunchev, Metodi, Popivanov, Ivan, Dimov, Dimo, Vaseva, Virsavia, Kundurzhiev, Todor, Tsachev, Ilia, Baymakova, Magdalena

“…In Bulgaria, vaccination coverage against the SARS-CoV-2 virus is low. The reasons for this fact are many and varied. The aim of the present study was to…”
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Efficient similarity queries over time series data using wavelets by Popivanov, Ivan Nedev

“…We consider the use of wavelet transformations as a dimensionality reduction technique to permit efficient similarity search over high dimensional time series…”
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Similarity search over time-series data using wavelets by Popivanov, I., Miller, R.J.

“…Considers the use of wavelet transformations as a dimensionality reduction technique to permit efficient similarity searching over high-dimensional time-series…”
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Extending Relational Query Processing with ML Inference by Karanasos, Konstantinos, Interlandi, Matteo, Xin, Doris, Psallidas, Fotis, Sen, Rathijit, Park, Kwanghyun, Popivanov, Ivan, Nakandal, Supun, Krishnan, Subru, Weimer, Markus, Yu, Yuan, Ramakrishnan, Raghu, Curino, Carlo

“…The broadening adoption of machine learning in the enterprise is increasing the pressure for strict governance and cost-effective performance, in particular…”
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Xristo Jasenov by Eekman, Thomas

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