Ioannis Kompatsiaris
Biographic Data
| ID | 130391 |
|---|---|
| NAME | Ioannis Kompatsiaris |
| GIVEN NAMES | Ioannis |
| FAMILY NAME | Kompatsiaris |
| SIGNATURE | KOMPATSIARIS I |
| AFFILIATIONS | Information Technologies Institute |
| ORCID | 0000-0001-6447-9020 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Optimal Transportation of Casualties to Hospitals after Multi-Disaster Mass Casualty Incidents
Mass casualty incidents (MCIs) resulting from compound disasters are characterized by a sudden surge in casualties that often overwhelms emergency medical services. In such situations, the efficient and coordinated transportation of casualties to hospitals becomes a critical component of the disaster response effort. However, current transportation strategies largely rely on static triage rules (for example, the immediate-first rule) and limited …
What drives consumer choices? Neuro-insights from a supermarket simulation study
Purpose The purpose of this study is to explore how different types of price discounts influence consumers’ purchase intentions within a simulated supermarket environment. By integrating eye tracking (ET) and electroencephalography (EEG) technologies, the research aims to capture real-time visual attention and neural responses, offering insights beyond traditional self-report methods. Specifically, the study examines whether shopping duration and…
Not a statistical accident
Despite being a well-studied problem, bias continues to affect modern Computer Vision (CV) datasets, models and systems, including Generative AI models that have been found to replicate and amplify harmful biases and stereotypes. In this work, we focus on framing bias : a type of bias that arises from the way images convey meaning. We introduce a semiotic perspective that treats image datasets as texts and argues that framing bias is not a statis…
A hybrid 3D object auto-completion approach with self-supervised data augmentation for fragments of archaeological objects
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…
Collective Intelligence, Overview
No prominent works on this page.
Collective Intelligence, Overview
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…
A hybrid 3D object auto-completion approach with self-supervised data augmentation for fragments of archaeological objects
Optimal Transportation of Casualties to Hospitals after Multi-Disaster Mass Casualty Incidents
Mass casualty incidents (MCIs) resulting from compound disasters are characterized by a sudden surge in casualties that often overwhelms emergency medical services. In such situations, the efficient and coordinated transportation of casualties to hospitals becomes a critical component of the disaster response effort. However, current transportation strategies largely rely on static triage rules (for example, the immediate-first rule) and limited …
What drives consumer choices? Neuro-insights from a supermarket simulation study
Purpose The purpose of this study is to explore how different types of price discounts influence consumers’ purchase intentions within a simulated supermarket environment. By integrating eye tracking (ET) and electroencephalography (EEG) technologies, the research aims to capture real-time visual attention and neural responses, offering insights beyond traditional self-report methods. Specifically, the study examines whether shopping duration and…
Not a statistical accident
Despite being a well-studied problem, bias continues to affect modern Computer Vision (CV) datasets, models and systems, including Generative AI models that have been found to replicate and amplify harmful biases and stereotypes. In this work, we focus on framing bias : a type of bias that arises from the way images convey meaning. We introduce a semiotic perspective that treats image datasets as texts and argues that framing bias is not a statis…
Computer Science (4 works) · Artificial Intelligence (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · 3D Shape Modeling and Analysis (1 works) · 3D Surveying and Cultural Heritage (1 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Big data (1 works)