7 citations · 14 across the 5 of their papers we have counts for
8 papers
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…
Efficient Egocentric Action Recognition with Multimodal Data
Marco Calzavara, Ard Kastrati, Matteo Macchini +2
The increasing availability of wearable XR devices opens new perspectives for Egocentric Action Recognition (EAR) systems, which can provide deeper human understanding and situatio…
An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography
Nina Weng, Martyna Plomecka, Manuel Kaufmann +3
Eye movements can reveal valuable insights into various aspects of human mental processes, physical well-being, and actions. Recently, several datasets have been made available tha…
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation
Ard Kastrati, Martyna Beata Plomecka, Joël Küchler +2
In this study, we validate the findings of previously published papers, showing the feasibility of an Electroencephalography (EEG) based gaze estimation. Moreover, we extend previo…
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…
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Ard Kastrati, Martyna Beata Płomecka, Damián Pascual +4
We present a new dataset and benchmark with the goal of advancing research in the intersection of brain activities and eye movements. Our dataset, EEGEyeNet, consists of simultaneo…