Researchers
Marković, Sofija
Results 1-20 of 23
| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2025 | Bistability in type I toxin-antitoxin systems may lead to stress-induced persister formation![]() | Markovic, Sofija | Article | 21aM21a |
| 2024 | Unraveling Bacterial Persister Formation: Insights from a Type I Toxin-Antitoxin System Model![]() | Markovic S | Conference Paper | Mp. category will be shown later |
| 2023 | Analiza socio-demografskih prediktora kliničke ozbiljnosti COVID-19 primenom mašinskog učenja | Tumbas M | Other | Mp. category will be shown later |
| 2023 | A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity![]() | Tumbas, Marko | Article | 21M21 |
| 2023 | A quantitative model of antibiotic persister formation by type I toxin-antitoxin systems![]() | Markovic Sofija | Conference Paper | Mp. category will be shown later |
| 2023 | A Nonlinear Dynamics Model of Antibiotic Persister Formation by Type I Toxin-Antitoxin Systems![]() | Markovic Sofija | Conference Paper | Mp. category will be shown later |
| 2023 | Primena mašinskog učenja u epidemiološkom modeliranju: Analiza globalnih faktora rizika kovida-19 | Markovic S | Other | Mp. category will be shown later |
| 2023 | Machine learning approach in inferring main population-level COVID-19 risk factors![]() | Markovic S | Conference Paper | Mp. category will be shown later |
| 2023 | Understanding risk factors of a new variant outburst through global analysis of Omicron transmissibility![]() | Djordjevic, Marko J | Article | 21a+M21a+ |
| 2023 | Beyond the Global Health security Index: A Machine Learning Approach to Analyzing the Official COvId-19 deaths and Excess deaths data![]() | Rodic A | Conference Paper | Mp. category will be shown later |
| 2022 | Using mathematical modeling and feature selection techniques to infer the predictors of the SARS-CoV-2 transmissibility![]() | Rodic A | Conference Paper | Mp. category will be shown later |
| 2022 | Analyzing the GHSI puzzle of whether highly developed countries fared worse in COVID-19![]() | Marković, Sofija | Article | 21aM21a |
| 2022 | Combining machine learning and non-linear dynamics modeling to understand COVID-19 risk factors | Djordjevic, M; Salom, I.; Djordjevic, M.; Sofija, M. | Conference Paper | Mp. category will be shown later |
| 2022 | Estimating parameter values, analyzing the role, and identifying predictors of the SARS-CoV-2 inherent transmissibility![]() | Rodić, Anđela | Conference Paper | Mp. category will be shown later |
| 2022 | Biophysical modeling and analysis of the predictors of the COVID-19 transmission and clinical severity![]() | Rodić, A. | Conference Paper | Mp. category will be shown later |
| 2022 | Modeling the COVID-19 transmission dynamics and identifying meteorological and sociodemographic predictors | Rodic, A. | Conference Paper | Mp. category will be shown later |
| 2022 | Inferring environmental drivers of COVID-19 severity by machine learning | Markovic, S. | Conference Paper | Mp. category will be shown later |
| 2021 | COVID-19 severity determinants inferred through ecological and epidemiological modeling![]() | Marković Z. Sofija | Article | 21aM21a |
| 2021 | Inferring COVID-19 severity determinants by combining epidemiological modeling and machine learning![]() | Marković, S. | Conference Paper | Mp. category will be shown later |
| 2021 | Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods![]() | Djordjevic, Marko | Article | 21aM21a |
