Stephanie Zubicueta Portales

ORCID: 0009-0004-2459-1949
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About
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Research Areas
  • Advanced Malware Detection Techniques
  • Multimedia Communication and Technology
  • AI in Service Interactions
  • Social Robot Interaction and HRI
  • Speech and dialogue systems
  • Video Analysis and Summarization
  • Digital Games and Media

University of Bergen
2024

Traditionally, sports commentators provide viewers with diverse information, encompassing in-game developments and player performances. Yet young adult football increasingly use mobile devices for deeper insights during matches. Such into players on the pitch performance statistics support viewers' understanding of game stakes, creating a more engaging viewing experience. Inspired by commentators' traditional roles to incorporate information single platform, we developed AiCommentator,...

10.1145/3640543.3645197 article EN cc-by 2024-03-18

In this study, we address the evolving threat of Maleficent Neural Networks, also known as "Evil" malicious neural networks embedded with malware. Due to absence effective detection mechanisms, these models remain undetected, posing significant challenges security users and systems in rapidly expanding field Artificial Intelligence Machine Learning. This research provides a comprehensive examination their detection, mitigation, issues, based on recent foundational studies. A discussion...

10.1109/access.2024.3401578 article EN cc-by IEEE Access 2024-01-01
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