Hubert Cecotti

Cited by

	All	Since 2016
Citations	2718	1840
h-index	25	21
i10-index	55	43

460

230

115

345

20092010201120122013201420152016201720182019202020219 66 119 91 155 184 223 213 342 418 457 394 12

Co-authors

Girijesh PrasadProfessor of Intelligent Systems, University of Ulster, Magee CampusVerified email at ulster.ac.uk
Manu MabyResearch engineer Inserm, Lyon Neuroscience Research CenterVerified email at inserm.fr
Barry GiesbrechtPsychological & Brain Sciences, UC Santa BarbaraVerified email at ucsb.edu
Yogesh Kumar MeenaResearch Officer in Self Powered Interfaces and Interactions (HCI), Swansea UniversityVerified email at swansea.ac.uk
Haider RazaLecturer in AI for Decision-Making, University of EssexVerified email at essex.ac.uk
Ivan VolosyakProfessor für Biomedical EngineeringVerified email at hochschule-rhein-waal.de
Abdel BelaidProfessor of Computer ScienceVerified email at loria.fr
Miguel EcksteinProfessor of Psychological and Brain Sciences, University of California, Santa BarbaraVerified email at psych.ucsb.edu
Dheeraj RatheeAI Data Scientist, Provide CIC, University of Essex, UKVerified email at essex.ac.uk
Marco CongedoCNRS (French National Centre for Scientific Research), Grenoble Alpes University, Grenoble INPVerified email at gipsa-lab.grenoble-inp.fr
Christian JuttenEmeritus Prof. of Statistical Signal Processing, Univ. Grenoble Alpes, Institut Universitaire deVerified email at gipsa-lab.fr
Szilard VAJDACentral Washington UniversityVerified email at cwu.edu
Yuhua LiCardiff UniversityVerified email at cardiff.ac.uk
Jonathan (Jon) TouryanU.S. Army Research LaboratoryVerified email at mail.mil
Ashish DuttaProfessor of Mechanical Engineering, IIT KanpurVerified email at iitk.ac.in
Amar MaratheArmy Research LaboratoryVerified email at case.edu
Kaleb McDowellArmy Research LaboratoryVerified email at mail.mil
Ronald PhlypoAssociate professor, ViBS @ GIPSA-Lab, Grenoble INPVerified email at grenoble-inp.fr
Professor Damien CoyleUlster UniversityVerified email at ulster.ac.uk
James C. ElliottUniversity of California, Santa BarbaraVerified email at psych.ucsb.edu

Hubert Cecotti

Assistant Professor in Computer Science, California State University, Fresno

Verified email at csufresno.edu - Homepage

pattern recognition machine learning brain-computer interface neural networks image processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	562*
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	244	2010
Spelling with non-invasive Brain–Computer Interfaces–Current and future trends H Cecotti Journal of Physiology-Paris 105 (1-3), 106-114, 2011	178	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	112	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	101	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	86	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	80	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	72	2009
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	56	2011
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	52	2016
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	52	2010
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	43	2009
A multimodal gaze-controlled virtual keyboard H Cecotti IEEE Transactions on Human-Machine Systems 46 (4), 601-606, 2016	40	2016
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	34	2009
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	32	2018
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	32	2015
EEG sensor selection by sparse spatial filtering in P300 speller brain-computer interface B Rivet, H Cecotti, R Phlypo, O Bertrand, E Maby, J Mattout 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010	32	2010
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	31	2017
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	30	2019
Steady-state visual evoked potential response-impact of the time segment length I Volosyak, H Cecotti, A Gräser Proc. on the 7th international Conference on Biomedical Engineering …, 2010	29	2010

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