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Thibault Verhoeven
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Leveraging robotics research for children with autism: a review
LI Ismail, T Verhoeven, J Dambre, F Wyffels
International Journal of Social Robotics 11, 389-410, 2019
1132019
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes
T Verhoeven, A Coito, G Plomp, A Thomschewski, F Pittau, E Trinka, ...
NeuroImage: Clinical 17, 10-15, 2018
632018
Towards improved design and evaluation of epileptic seizure predictors
I Korshunova, PJ Kindermans, J Degrave, T Verhoeven, BH Brinkmann, ...
IEEE Transactions on Biomedical Engineering 65 (3), 502-510, 2017
452017
Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees
D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ...
PloS one 12 (4), e0175856, 2017
452017
Unsupervised learning for brain-computer interfaces based on event-related potentials: Review and online comparison [research frontier]
D Hüebner, T Verhoeven, KR Müeller, PJ Kindermans, M Tangermann
IEEE Computational Intelligence Magazine 13 (2), 66-77, 2018
322018
Towards a symbiotic brain–computer interface: exploring the application–decoder interaction
T Verhoeven, P Buteneers, JR Wiersema, J Dambre, PJ Kindermans
Journal of neural engineering 12 (6), 066027, 2015
292015
Improving zero-training brain-computer interfaces by mixing model estimators
T Verhoeven, D Hübner, M Tangermann, KR Müller, J Dambre, ...
Journal of neural engineering 14 (3), 036021, 2017
282017
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes. NeuroImage Clin
T Verhoeven, A Coito, G Plomp, A Thomschewski, F Pittau, E Trinka, ...
62018
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes. NeuroImage Clin 2018; 17: 10–5
T Verhoeven, A Coito, G Plomp, A Thomschewski, F Pittau, E Trinka
5
Using random forest for diagnosis and lateralization of temporal lobe epilepsy from EEG-based directed functional connectivity
T Verhoeven, A Coito, P van Mierlo, M Seeck, C Michel, G Plomp, ...
12th European Congress on Epileptology 57, 64, 2016
42016
Brain-computer interfaces with machine learning: a symbiotic approach
T Verhoeven
Ghent University, 2017
22017
Reducing BCI calibration time with transfer learning: a shrinkage approach
T Verhoeven, PJ Kindermans, S Vandenberghe, J Dambre
International Brain-Computer Interface (BCI) Meeting 2016, 2016
22016
Brain-computer interfaces with machine learning: an improved paradigm for the p300 speller
T Verhoeven
afstudeerwerk, Ghent University, 2013
22013
Rethinking BCI paradigm and machine learning algorithm as a symbiosis: Zero calibration, guaranteed convergence and high decoding performance
D Hübner, PJ Kindermans, T Verhoeven, KR Müller, M Tangermann
Brain-Computer Interface Research: A State-of-the-Art Summary 7, 63-73, 2019
12019
LEARNING FROM LABEL PROPORTIONS IN BCI--A SYMBIOTIC DESIGN FOR STIMULUS PRESENTATION AND SIGNAL DECODING
D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ...
The First Biannual Neuroadaptive Technology Conference, 27, 2017
12017
Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation.
D Hübner, T Verhoeven, PJ Kindermans, M Tangermann
GBCIC, 2017
12017
A Bayesian model to estimate individual skull conductivity for EEG source imaging
T Verhoeven, G Strobbe, P van Mierlo, P Buteneers, S Vandenberghe, ...
International Workshop on Seizure Prediction 7, 2015
12015
Unsupervised learning for brain–computer interfaces based on event-related potentials
PJ Kindermans, D Hübner, T Verhoeven, KR Müller, M Tangermann
Signal Processing and Machine Learning for Brain--Machine Interfaces, 2018
2018
Learning from label proportions in brain-computer interfaces
D Hübner, T Verhoeven, K Schmid, KR Müller, M Tangermann, ...
2017
P362 Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes
A Coito, T Verhoeven, G Plomp, A Thomschewski, F Pittau, E Trinka, ...
Clinical Neurophysiology 128 (9), e295-e295, 2017
2017
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