| 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 | 118 | 2019 |
| 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 | 68 | 2018 |
| 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 | 52 | 2017 |
| 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 | 48 | 2017 |
| 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 | 32 | 2018 |
| 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 | 29 | 2015 |
| 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 | 28 | 2017 |
| 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, ... | 6 | 2018 |
| 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 | 4 | 2016 |
| Brain-computer interfaces with machine learning: a symbiotic approach T Verhoeven Ghent University, 2017 | 2 | 2017 |
| 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 | 2 | 2016 |
| Brain-computer interfaces with machine learning: an improved paradigm for the p300 speller T Verhoeven afstudeerwerk, Ghent University, 2013 | 2 | 2013 |
| 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 | 1 | 2019 |
| 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 | 1 | 2017 |
| Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. D Hübner, T Verhoeven, PJ Kindermans, M Tangermann GBCIC, 2017 | 1 | 2017 |
| 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 | 1 | 2015 |
| 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 |
Pieter-Jan KindermansStaff Research Scientist, Google DeepmindBestätigte E-Mail-Adresse bei google.com
