Thanassis Tiropanis
Biographic Data
| ID | 6851293 |
|---|---|
| NAME | Thanassis Tiropanis |
| GIVEN NAMES | Thanassis |
| FAMILY NAME | Tiropanis |
| SIGNATURE | TIROPANIS T |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0002-6195-2852 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
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…
Innovation on the web
Rigorous research into the historical past of Web technology-driven innovation becomes timely as technological growth and forecasting are attracting popular interest. Drawing on economic and management literature relating to the typical trends of technological innovation, we examine the long-term development of Web technology in a theoretically informed and empirical manner. An original longitudinal dataset of 20,493 Web-related US patents is use…
Grid-Based Virtual Laboratory Experiments for a Graduate Course on Sensor Networks
This paper presents the pedagogical and technical challenges the authors faced in developing a distributed laboratory for the execution of virtual scientific experiments (VSEs) superimposed on a Grid infrastructure, for a course on sensor networks that is part of the Master's in Information Networking (MSIN) program jointly offered by Carnegie Mellon University (CMU), USA and Athens Information Technology (AIT), Athens, Greece. The MSIN program u…
No prominent works on this page.
Grid-Based Virtual Laboratory Experiments for a Graduate Course on Sensor Networks
This paper presents the pedagogical and technical challenges the authors faced in developing a distributed laboratory for the execution of virtual scientific experiments (VSEs) superimposed on a Grid infrastructure, for a course on sensor networks that is part of the Master's in Information Networking (MSIN) program jointly offered by Carnegie Mellon University (CMU), USA and Athens Information Technology (AIT), Athens, Greece. The MSIN program u…
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…
Innovation on the web
Rigorous research into the historical past of Web technology-driven innovation becomes timely as technological growth and forecasting are attracting popular interest. Drawing on economic and management literature relating to the typical trends of technological innovation, we examine the long-term development of Web technology in a theoretically informed and empirical manner. An original longitudinal dataset of 20,493 Web-related US patents is use…
Computer Science (3 works) · Data science (2 works) · Engineering (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big data (1 work) · Business (1 work) · Component (thermodynamics) (1 work) · Course (navigation) (1 work)