7 citations · 21 across the 6 of their papers we have counts for
6 papers
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…
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…
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…
Reading Task Classification Using EEG and Eye-Tracking Data
Nora Hollenstein, Marius Tröndle, Martyna Plomecka +4
The Zurich Cognitive Language Processing Corpus (ZuCo) provides eye-tracking and EEG signals from two reading paradigms, normal reading and task-specific reading. We analyze whethe…
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…