Hubert Cecotti
Hubert Cecotti
Assistant Professor in Computer Science, California State University, Fresno
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Zitiert von
Zitiert von
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
H Cecotti, A Gräser
IEEE Transactions on Pattern Analysis and Machine Intelligence, 0
A self-paced and calibration-less SSVEP-based brain–computer interface speller
H Cecotti
IEEE transactions on neural systems and rehabilitation engineering 18 (2 …, 2010
Spelling with non-invasive Brain–Computer Interfaces–Current and future trends
H Cecotti
Journal of Physiology-Paris 105 (1-3), 106-114, 2011
A robust sensor-selection method for P300 brain–computer interfaces
H Cecotti, B Rivet, M Congedo, C Jutten, O Bertrand, E Maby, J Mattout
Journal of neural engineering 8 (1), 016001, 2011
Convolutional neural network with embedded Fourier transform for EEG classification
H Cecotti, A Graeser
2008 19th International Conference on Pattern Recognition, 1-4, 2008
Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering
H Cecotti, MP Eckstein, B Giesbrecht
IEEE transactions on neural networks and learning systems 25 (11), 2030-2042, 2014
Evaluation of the Bremen SSVEP based BCI in real world conditions
I Volosyak, H Cecotti, D Valbuena, A Graser
2009 IEEE International Conference on Rehabilitation Robotics, 322-331, 2009
Impact of frequency selection on LCD screens for SSVEP based brain-computer interfaces
I Volosyak, H Cecotti, A Gräser
International Work-Conference on Artificial Neural Networks, 706-713, 2009
Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface
H Raza, H Cecotti, Y Li, G Prasad
Soft Computing 20 (8), 3085-3096, 2016
A time–frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses
H Cecotti
Pattern Recognition Letters 32 (8), 1145-1153, 2011
Reliable visual stimuli on LCD screens for SSVEP based BCI
H Cecotti, I Volosyak, A Gräser
2010 18th European Signal Processing Conference, 919-923, 2010
A review of rapid serial visual presentation-based brain–computer interfaces
S Lees, N Dayan, H Cecotti, P McCullagh, L Maguire, F Lotte, D Coyle
Journal of neural engineering 15 (2), 021001, 2018
A multimodal gaze-controlled virtual keyboard
H Cecotti
IEEE Transactions on Human-Machine Systems 46 (4), 601-606, 2016
Optimal visual stimuli on LCD screens for SSVEP based brain-computer interfaces
I Volosyak, H Cecotti, A Graser
2009 4th International IEEE/EMBS Conference on Neural Engineering, 447-450, 2009
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
H Raza, D Rathee, SM Zhou, H Cecotti, G Prasad
Neurocomputing 343, 154-166, 2019
The effect of target and non-target similarity on neural classification performance: a boost from confidence
AR Marathe, AJ Ries, VJ Lawhern, BJ Lance, J Touryan, K McDowell, ...
Frontiers in neuroscience 9, 270, 2015
Multiple stages of information processing are modulated during acute bouts of exercise
T Bullock, H Cecotti, B Giesbrecht
Neuroscience 307, 138-150, 2015
Evaluation of an SSVEP based brain-computer interface on the command and application levels
H Cecotti, I Volosyak, A Graser
2009 4th International IEEE/EMBS Conference on Neural Engineering, 474-477, 2009
Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces
H Cecotti, AJ Ries
International Journal of Psychophysiology 111, 156-169, 2017
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition
S Vajda, Y Rangoni, H Cecotti
Pattern recognition letters 58, 23-28, 2015
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