Vito Janko
Biographic Data
| ID | 7864189 |
|---|---|
| NAME | Vito Janko |
| GIVEN NAMES | Vito |
| FAMILY NAME | Janko |
| SIGNATURE | JANKO V |
| AFFILIATIONS | Jožef Stefan Institute |
| ORCID | 0000-0002-9549-9742 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Optimizing non-pharmaceutical intervention strategies against Covid-19 using artificial intelligence
One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interventions to reduce the spread of the infection while limiting the burden on the society and economy. With more data on the pandemic being generated, it became possible to model both the infection trends and intervention costs, transforming the creation of an intervention plan into a computational optimization problem. This paper proposes a framework …
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of Covid-19
The COVID-19 pandemic affected the whole world, but not all countries were impacted equally. This opens the question of what factors can explain the initial faster spread in some countries compared to others. Many such factors are overshadowed by the effect of the countermeasures, so we studied the early phases of the infection when countermeasures had not yet taken place. We collected the most diverse dataset of potentially relevant factors and …
No prominent works on this page.
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of Covid-19
The COVID-19 pandemic affected the whole world, but not all countries were impacted equally. This opens the question of what factors can explain the initial faster spread in some countries compared to others. Many such factors are overshadowed by the effect of the countermeasures, so we studied the early phases of the infection when countermeasures had not yet taken place. We collected the most diverse dataset of potentially relevant factors and …
Optimizing non-pharmaceutical intervention strategies against Covid-19 using artificial intelligence
One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interventions to reduce the spread of the infection while limiting the burden on the society and economy. With more data on the pandemic being generated, it became possible to model both the infection trends and intervention costs, transforming the creation of an intervention plan into a computational optimization problem. This paper proposes a framework …
Artificial Intelligence (2 works) · Computer Science (2 works) · COVID-19 epidemiological studies (2 works) · COVID-19 Pandemic Impacts (2 works) · Machine learning (2 works) · Medicine (2 works) · Pandemic (2 works) · Bioinformatics (1 work) · Classifier (UML (1 work) · Coronavirus disease 2019 (COVID-19 (1 work)