11 papers
Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET
Loukas Ilias, Anthi-Maria Vozinaki, Christos Ntanos +1
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder and a leading cause of death worldwide. Early diagnosis plays an important part especially at the Mild Cognit…
Multi-View Speech Representation Learning for Parkinson's Disease Detection Using Context-guided Cross-modal Attention
George Theodosiou, Loukas Ilias, Dimitris Askounis
Parkinson's disease (PD) is a progressive neurodegenerative disorder that frequently causes speech impairments associated with hypokinetic dysarthria. As speech production relies o…
A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
Loukas Ilias, Dimitris Askounis
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia, affecting memory, reasoning, communication, and daily functioning. Early dia…
Mixture of Experts for Recognizing Depression from Interview and Reading Tasks
Loukas Ilias, Dimitris Askounis
Depression is a mental disorder and can cause a variety of symptoms, including psychological, physical, and social. Speech has been proved an objective marker for the early recogni…
A Trustworthy By Design Classification Model for Building Energy Retrofit Decision Support
Panagiota Rempi, Sotiris Pelekis, Alexandros Menelaos Tzortzis +4
Improving energy efficiency in residential buildings is critical to combating climate change and reducing greenhouse gas emissions. Retrofitting existing buildings, which contribut…
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Vasilis Michalakopoulos, Christoforos Menos-Aikateriniadis, Elissaios Sarmas +3
This study investigates the performance of machine learning models in forecasting electricity Day-Ahead Market (DAM) prices using short historical training windows, with a focus on…