Pavlos Fafalios
Biographic Data
| ID | 6851281 |
|---|---|
| NAME | Pavlos Fafalios |
| GIVEN NAMES | Pavlos |
| FAMILY NAME | Fafalios |
| SIGNATURE | FAFALIOS P |
| AFFILIATIONS | FORTH Institute of Computer Science |
| ORCID | 0000-0003-2788-526X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Decoding the Circular Economy Job Market in the EU
The circular economy ( CE ) is increasingly promoted as a pathway to sustainable development, yet systematic evidence on the structure of the CE labor market remains limited. Little is known about how CE ‐related job opportunities are distributed across countries, which job characteristics dominate this market, and how such patterns compare with indicators from other sources. In this study, we address these gaps by analyzing CE ‐related job posti…
Cidoc-CRM and Machine Learning
The CIDOC Conceptual Reference Model (CIDOC-CRM) is an ISO Standard ontology for the cultural domain that is used for enabling semantic interoperability between museums, libraries, archives and other cultural institutions. For leveraging CIDOC-CRM, several processes and tasks have to be carried out. It is therefore important to investigate to what extent we can automate these processes in order to facilitate interoperability. For this reason, in …
Bias in data‐driven artificial intelligence systems—An introductory survey
Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…
No prominent works on this page.
Bias in data‐driven artificial intelligence systems—An introductory survey
Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…
Cidoc-CRM and Machine Learning
The CIDOC Conceptual Reference Model (CIDOC-CRM) is an ISO Standard ontology for the cultural domain that is used for enabling semantic interoperability between museums, libraries, archives and other cultural institutions. For leveraging CIDOC-CRM, several processes and tasks have to be carried out. It is therefore important to investigate to what extent we can automate these processes in order to facilitate interoperability. For this reason, in …
Decoding the Circular Economy Job Market in the EU
The circular economy ( CE ) is increasingly promoted as a pathway to sustainable development, yet systematic evidence on the structure of the CE labor market remains limited. Little is known about how CE ‐related job opportunities are distributed across countries, which job characteristics dominate this market, and how such patterns compare with indicators from other sources. In this study, we address these gaps by analyzing CE ‐related job posti…
Computer Science (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big data (1 work) · Data collection (1 work) · Data mining (1 work) · Data Quality and Management (1 work) · Data science (1 work) · Digital and Traditional Archives Management (1 work)