47 citations · 80 across the 4 of their papers we have counts for
4 papers
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis +3
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand…
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance
Sotiris Pelekis, Evangelos Karakolis, Francisco Silva +5
In power grids, short-term load forecasting (STLF) is crucial as it contributes to the optimization of their reliability, emissions, and costs, while it enables the participation o…
A Multimodal Approach for Dementia Detection from Spontaneous Speech with Tensor Fusion Layer
Loukas Ilias, Dimitris Askounis, John Psarras
Alzheimer's disease (AD) is a progressive neurological disorder, meaning that the symptoms develop gradually throughout the years. It is also the main cause of dementia, which affe…
Detecting Dementia from Speech and Transcripts using Transformers
Loukas Ilias, Dimitris Askounis, John Psarras
Alzheimer's disease (AD) constitutes a neurodegenerative disease with serious consequences to peoples' everyday lives, if it is not diagnosed early since there is no available cure…