Explaining bias in deep face recognition via image characteristics

A Atzori, G Fenu, M Marras - 2022 IEEE International Joint …, 2022 - ieeexplore.ieee.org
In this paper, we propose a novel explanatory framework aimed to provide a better
understanding of how face recognition models perform as the underlying data …

A multifaceted role of biometrics in online security, privacy, and trustworthy decision making

ML Gavrilova, F Anzum, ASM Hossain Bari… - Breakthroughs in digital …, 2022 - Springer
Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …

Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023

C Servin, BA Becker, E Eaton, A Kumar - North American Fuzzy …, 2023 - Springer
Fuzzy Logic education has been considered part of artificial intelligence, which in many
cases, can be found in the electives curricula or, inclusively, at the graduate studies for the …

Who's in My Archive? An End-to-End Framework for Automatic Annotation of TV Personalities

M Montagnuolo, F Negro, A Messina… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Knowledge about the presence of people in a video is a valuable source of information in
many applications, such as video annotation, retrieval and summarisation. The contribution …

[PDF][PDF] Deep Face Recognition for Online Student Identification

DAM Carreira - 2023 - estudogeral.uc.pt
The outbreak of the COVID-19 pandemic tested the entire world on several levels and
changed the concept of what is considered “normal” thereafter. The devastating health …

[PDF][PDF] POLITEHNICA UNIVERSITY OF BUCHAREST

ELD STEFAN - docs.upb.ro
The era of big data presents an important challenge for data analysis, processing and
learning, as information become available in such a volume. In this context, images, video …