Dimitris Askounis
Biographic Data
| ID | 6505996 |
|---|---|
| NAME | Dimitris Askounis |
| GIVEN NAMES | Dimitris |
| FAMILY NAME | Askounis |
| SIGNATURE | ASKOUNIS D |
| AFFILIATIONS | National Technical University of Athens |
| ORCID | 0000-0002-2618-5715 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media
In today’s fast-paced world, the rates of stress and depression present a surge. People use social media for expressing their thoughts and feelings through posts. Therefore, social media provide assistance for the early detection of mental health conditions. Existing methods mainly introduce feature extraction approaches and train shallow machine learning (ML) classifiers. For addressing the need of creating a large feature set and obtaining bett…
Depression detection in social media posts using transformer-based models and auxiliary features
Multitask learning for recognizing stress and depression in social media
Accelerating Policy Making 2.0
Electronic participation pilots in the Western Balkans
Nowadays, the democracy deficit occurrence is strong as ostensibly democratic organizations or institutions in fact fall short of fulfilling what are believed to be the principles of democracy.1 Th
A goal-driven management framework for electronic government transformation projects implementation
Using GIS and Web-Based Technology to Distribute Land Records
Using GIS and Web-Based Technology to Distribute Land Records
A goal-driven management framework for electronic government transformation projects implementation
Electronic participation pilots in the Western Balkans
Nowadays, the democracy deficit occurrence is strong as ostensibly democratic organizations or institutions in fact fall short of fulfilling what are believed to be the principles of democracy.1 Th
Accelerating Policy Making 2.0
Multitask learning for recognizing stress and depression in social media
Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media
In today’s fast-paced world, the rates of stress and depression present a surge. People use social media for expressing their thoughts and feelings through posts. Therefore, social media provide assistance for the early detection of mental health conditions. Existing methods mainly introduce feature extraction approaches and train shallow machine learning (ML) classifiers. For addressing the need of creating a large feature set and obtaining bett…
Depression detection in social media posts using transformer-based models and auxiliary features
Computer Science (6 works) · Business (3 works) · Engineering (3 works) · Mental Health via Writing (3 works) · Sentiment Analysis and Opinion Mining (3 works) · World Wide Web (3 works) · Artificial Intelligence (2 works) · Digital Mental Health Interventions (2 works) · E-Government and Public Services (2 works) · Electrical engineering (2 works)