Didier A Vega-Oliveros
Biographic Data
| ID | 899362 |
|---|---|
| NAME | Didier A Vega-Oliveros |
| GIVEN NAMES | Didier A |
| FAMILY NAME | Vega-Oliveros |
| SIGNATURE | VEGA-OLIVEROS D A |
| AFFILIATIONS | Universidade Estadual de Campinas (UNICAMP) |
| ORCID | 0000-0001-9569-3775 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Measuring Spatiotemporal Civil War Dimensions Using Community-Based Dynamic Network Representation (CoDNet)
Civil war exhibits complex geospatial trends over time, which may be missed by models that rely on count-based operationalizations. Here, the spatial and temporal correlation values of monthly civil war events are transformed into their influence degree symbol, which measures geospatial concentration, spread, and intensity of civil war. We then measure variation in these degrees over time to identify relevant spatiotemporal civil war aspects. The…
A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI
A Ciência Forense Digital surgiu da necessidade de tratar problemas forenses na era digital. Seu mais recente desafio está relacionado ao surgimento das mídias sociais, intensificado pelos avanços da Inteligência Artificial. A produção massiva de dados nas mídias sociais tornou a análise forense mais complexa, especialmente pelo aperfeiçoamento de modelos computacionais capazes de gerar conteúdo artificial com alto realismo. Assim, tem-se a neces…
No prominent works on this page.
A Inteligência Artificial e os desafios da Ciência Forense Digital no século XXI
A Ciência Forense Digital surgiu da necessidade de tratar problemas forenses na era digital. Seu mais recente desafio está relacionado ao surgimento das mídias sociais, intensificado pelos avanços da Inteligência Artificial. A produção massiva de dados nas mídias sociais tornou a análise forense mais complexa, especialmente pelo aperfeiçoamento de modelos computacionais capazes de gerar conteúdo artificial com alto realismo. Assim, tem-se a neces…
Measuring Spatiotemporal Civil War Dimensions Using Community-Based Dynamic Network Representation (CoDNet)
Civil war exhibits complex geospatial trends over time, which may be missed by models that rely on count-based operationalizations. Here, the spatial and temporal correlation values of monthly civil war events are transformed into their influence degree symbol, which measures geospatial concentration, spread, and intensity of civil war. We then measure variation in these degrees over time to identify relevant spatiotemporal civil war aspects. The…
Art (1 work) · Cartography (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Digital and Cyber Forensics (1 work) · Digital Media Forensic Detection (1 work) · Ecosystem dynamics and resilience (1 work) · Geography (1 work) · Geospatial analysis (1 work) · Humanities (1 work)