Andreas Miltiadous

Orcid: 0000-0003-0675-9088

According to our database1, Andreas Miltiadous authored at least 17 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Predicting the Forest Fire Duration Enriched with Meteorological Data Using Feature Construction Techniques.
Symmetry, 2025

X-Balloon: A cloud-based platform for annotation and reinforced deep learning in digital pathology images.
SoftwareX, 2025

A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer's Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG.
Data, 2025

Predicting the Damage of Urban Fires with Grammatical Evolution.
Big Data Cogn. Comput., 2025

Reality Fusion for Basic Life Support: Mixed Reality and Manikin Training with Trainers in the Loop.
Proceedings of the 2025 20th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2025

AI-Driven Digital Twins in Medical Education: Virtual Avatars for Neurodegenerative Disease Training.
Proceedings of the 10th South-East Europe Design Automation, 2025

A LEAP Toward Precision Medicine for Parkinson's Disease.
Proceedings of the 10th South-East Europe Design Automation, 2025

Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

Neurodegenerative Disease Classification with EEG: A Deep Learning Approach for Dementia Diagnosis.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2023
A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG.
Data, June, 2023

Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review.
IEEE Access, 2023

DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals.
IEEE Access, 2023

Enhanced Alzheimer's disease and Frontotemporal Dementia EEG Detection: Combining lightGBM Gradient Boosting with Complexity Features.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Evaluating the Window Size's Role in Automatic EEG Epilepsy Detection.
Sensors, 2022

Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG.
Sensors, 2022

Classification of EEG signals from young adults with dyslexia combining a Brain Computer Interface device and an Interactive Linguistic Software Tool.
Biomed. Signal Process. Control., 2022

An experimental protocol for exploration of stress in an immersive VR scenario with EEG.
Proceedings of the 7th South-East Europe Design Automation, 2022


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