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Rob Zink
Rob Zink
Health House Leuven - KU Leuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks
R Zink, B Hunyadi, S Van Huffel, M De Vos
Journal of Neural Engineering 13 (4), 046017-046017, 2016
1272016
Online detection of auditory attention with mobile EEG: closing the loop with neurofeedback
R Zink, S Proesmans, A Bertrand, S Van Huffel, M De Vos
BioRxiv, 218727, 2017
372017
Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase
R Zink, B Hunyadi, S Van Huffel, M De Vos
Journal of neural engineering 13 (2), 026005, 2016
302016
On-line detection of auditory attention in a neurofeedback application
R Zink, A Baptist, A Bertrand, S Van Huffel, M De Vos
Proc. 8th International Workshop on Biosignal Interpretation, 1-4, 2016
192016
EEG miniaturization limits for stimulus decoding with EEG sensor networks
AM Narayanan, R Zink, A Bertrand
Journal of Neural Engineering 18 (5), 056042, 2021
92021
The quest for single trial correlations in multimodal EEG-fMRI data
M De Vos, R Zink, B Hunyadi, B Mijovic, S Van Huffel, S Debener
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
82013
Long-term impact of prenatal exposure to chemotherapy on executive functioning: An ERP study
J Blommaert, R Zink, S Deprez, I Myatchin, P Dupont, T Vandenbroucke, ...
Clinical Neurophysiology 130 (9), 1655-1664, 2019
72019
Classifying the auditory P300 using mobile EEG recordings without calibration phase
R Zink, B Hunyadi, S Van Huffel, M De Vos
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
42015
Exploring CPD based unsupervised classification for auditory BCI with mobile EEG.
R Zink, B Hunyadi, S Van Huffel, M De Vos
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, 53-56, 2015
42015
Recent Numerical and Conceptual Advances for Tensor Decompositions—A Preview of Tensorlab 4.0
N Vervliet, M Vandecappelle, M Boussé, R Zink, L De Lathauwer
2019 IEEE Data Science Workshop (DSW), 310-314, 2019
12019
Data-Driven Clustering of P300 EEG Data Using Coupled Tensor Decompositions
R Zink, B Hunyadi, M De Vos, S Van Huffel
Sinteza 2017 - International Scientific Conference on Information Technology …, 2017
12017
Alpha and low-beta oscillatory patterns extracted with canonical polyadicdecomposition relate to lda classifier performance in real-life mobile
R Zink, B Hunyadi, S Van Huffel, M De Vos
Proc. 8th International Workshop on Biosignal Interpretation, 1-4, 2016
12016
Fast, accurate, unsupervised, and time-adaptive EEG-based auditory attention decoding for neuro-steered hearing devices
S Geirnaert, R Zink, T Francart, A Bertrand
Brain-Computer Interface Research: A State-of-the-Art Summary 11, 29-40, 2024
2024
Longterm impact of prenatal exposure to chemotherapy on attentional neurodevelopment: an ERP study
J Blommaert, R Zink, S Deprez, I Myatchin, P Dupont, T Vandenbroucke, ...
OHBM annual meeting, Date: 2019/06/09-2019/06/13, Location: Rome, Italy, 2019
2019
An afternoon with Mobile EEG: natural activities at home
R Zink, S Van Huffel, M De Vos
2018
TENSORLAB 4.0–A PREVIEW
M Vandecappelle, M Boussé, N Vervliet, M Vendeville, R Zink, ...
Proc. 14th International Conference on Latent Variable Analysis and Signal …, 2018
2018
Mobile EEG and tensor approaches for auditory attention analysis in real-life
R Zink
KU Leuven, 2017
2017
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LN Coregliano, AA Razborov, R Zink, B Hunyadi, S Van Huffel
This content has been downloaded from IOPscience. Please scroll down to see the full text.
OV Shulika, M Klymenko, I Sukhoivanov, BA Knyazev, GN Kulipanov, ...
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