7 citations · 14 across the 5 of their papers we have counts for
4 papers · 1 filter
EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
Ard Kastrati, Josua Bürki, Jonas Lauer +3
We introduce a unified benchmarking framework focused on evaluating EEG-based foundation models in clinical applications. The benchmark spans 11 well-defined diagnostic tasks acros…
Adapting Neural Audio Codecs to EEG
Ard Kastrati, Luca Lanzendörfer, Riccardo Rigoni +2
EEG and audio are inherently distinct modalities, differing in sampling rate, channel structure, and scale. Yet, we show that pretrained neural audio codecs can serve as effective…
FACT: Learning Governing Abstractions Behind Integer Sequences
Peter Belcák, Ard Kastrati, Flavio Schenker +1
Integer sequences are of central importance to the modeling of concepts admitting complete finitary descriptions. We introduce a novel view on the learning of such concepts and lay…
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications
Lukas Wolf, Ard Kastrati, Martyna Beata Płomecka +5
The collection of eye gaze information provides a window into many critical aspects of human cognition, health and behaviour. Additionally, many neuroscientific studies complement…