Publications

Google Scholar

Most of the papers can be downloaded on Research Gate

International journals (peer reviewed)

• 1. [JNE'24] P. Rajpura, H. Cecotti, Y.K Meena, Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space, Journal of Neural Engineering, 2024. (accepted)

  2. [TG'24] H. Cecotti, M. Leray, M. Callaghan, Countdown VR: a Serious Game in Fully Immersive Virtual Reality to Develop Mental Computation Skills, IEEE Trans. on Games, 2024. 

  3. [VR'23] H. Cecotti, L. Huisinga; L. G. Peláez, Fully Immersive Learning with Virtual Reality for Assessing Students in Art History, Virtual Reality, 2023. 

  4. [FHN'23] D. Valeriani, H. Cecotti, A. Thelen and C. Her, Editorial: Translational brain-computer interfaces: From research labs to the market and back. Front. Hum. Neurosci. 17:1152466. doi: 10.3389/fnhum.2023.115246, 2023. 

  5. [THMS'22] Y.K. Meena, H. Cecotti, B. Bhushan, A. Dutta, G. Prasad, Detection of Dyslexic Children Using Machine Learning and Multimodal Hindi Language Eye-Gaze Assisted Learning System, IEEE Transactions on Human-Machine Systems, 10p, 2022.

  6. [VW'22] H. Cecotti, Cultural Heritage in Fully Immersive Virtual Reality, Virtual Worlds, 82-102p, 2022.

  7. [JMLC'21] G. Dzhezyan, H. Cecotti, SymNet: Symmetrical Filters in Convolutional Neural Networks, International Journal of Machine Learning and Cybernetics, 2021.

  8. [ESWA'20] H.Cecotti, A. Rivera, M. Farhadloo, M. Pedroza Villarreal, Grape detection with Convolutional Neural Networks, Expert Systems With Applications, 11p, 2020. 

  9. [MTAP'20] G. Jha, H. Cecotti, Data augmentation for handwritten digit recognition using generative adversarial networks, Multimedia Tools and Applications, 2020.

  10. [JMLC'20] H. Cecotti, Rotation Invariant Descriptors for Galaxy Morphological Classification, International Journal of Machine Learning and Cybernetics, 11p, 2020. 

  11. [TNSRE'19] H. Cecotti, Adaptive time segment analysis for steady-state visual evoked potential based brain-computer interfaces, IEEE Trans. on Neural Systems and Rehabilitation Engineering, 2019. 

  12. [JMUI'19] Y.K. Meena, H. Cecotti, K. Wong-Lin, G. Prasad, Design and evaluation of a time adaptive multimodal virtual keyboard, Journal on Multimodal User Interfaces, 20p, 2019. 

  13. [NCOMP'18] H. Raza, D. Rathee, S.M. Zhou, H. Cecotti, G. Prasad, Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface, Neurocomputing, 28p, 2018. (in press).

  14. [TNSRE'18] Y.K. Meena, H. Cecotti, K. Wong-Lin, A. Dutta, G. Prasad, Towards the Optimization of Gaze-Controlled Human-Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 26 , no. 4, pp. 911-922, Apr. 2018.

  15. [JNE'18] S. Lees, N. Dayan, H. Cecotti, P. McCullagh, L. Maguire, F. Lotte, D. Coyle, A review of rapid serial visual presentation-based brain-computer interfaces, Journal of Neural Engineering, vol. 15, no. 2, 021001, Apr. 2018

  16. [TNSRE'17] D. Rathee, H. Raza, G. Prasad, H. Cecotti, Current Source Density Estimation Enhances the Performance of Motor-Imagery related Brain-Computer Interface, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 25, no. 12, pp. 2461-2471, Dec. 2017.

  17. [JNE'17] D. Rathee, H. Cecotti, G. Prasad, Single-trial effective brain connectivity patterns enhance discriminability of mental imagery tasks, Journal of Neural Engineering, vol. 14, no. 5, 056005, Oct. 2017.

  18. [IJP'17] H. Cecotti, A. J. Ries, Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces International Journal of Psychophysiology, vol. 111, pp. 156-169, Jan. 2017.

  19. [IJPRAI'17]H. Cecotti, Hierarchical K-Nearest Neighbor with GPUs and High Performance Cluster: application to Handwritten Character Recognition, International Journal of Pattern Recognition and Artificial Intelligence, vol. 31, no. 2, 1750005, 2017.

  20. [HMS'16] H. Cecotti, A Multimodal Gaze-Controlled Virtual Keyboard, IEEE Transactions on Human-Machine Systems, vol. 46, no. 4, pp. 601-606, 2016.

  21. [PRL'16] H. Cecotti, Active graph based semi-supervised learning using image matching: application to handwritten digit recognition, Pattern Recognition Letters, vol. 73, pp. 76-82, 2016.

  22. [BIOMED'16] H. Cecotti, Single-trial detection with Magnetoencephalography during a Dual Rapid Serial Visual Presentation task, IEEE Transactions on Biomedical Engineering, vol. 63, no. 1, pp. 220-7, 2016.

  23. [SOCO'16] H. Raza, H. Cecotti, Y. Li, G. Prasad, Adaptive Learning with Covariate Shift-Detection for Motor Imagery based Brain-Computer Interface, Soft Computing, vol. 20, no. 8, pp. 3085-3096, Aug. 2016.

  24. [NEURO'15] T. Bullock, H. Cecotti, B. Giesbrecht, Multiple stages of information processing are modulated during acute bouts of exercise, Neuroscience, vol. 307, pp 138–150, 2015.

  25. [FRONT'15] A. Marathe, A. Ries, V. Lawhern, B. Lance, J. Touryan, K. McDowell, H. Cecotti, The effect of target and non-target similarity on neural classification performance: A boost from confidence, Front. Neurosci. 9:270. doi: 10.3389/fnins.2015.00270.

  26. [BIOMED'15] H. Cecotti, A. Marathe, A. Ries, Optimization of single-trial detection of event-related potentials through artificial trials, IEEE Transactions on Biomedical Engineering, vol. 62, no. 9, pp. 2170-6, 2015.

  27. [PRL'15] S. Vajda, Y. Rangoni, H. Cecotti, Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition, Pattern Recognition Letters, vol. 58, pp. 23–28, 2015.

  28. [PRL'15] H. Cecotti, Toward shift invariant detection of event-related potentials in non-invasive brain-computer interface, Pattern Recognition Letters, vol. 66, no. 15, pp. 127-134, Nov. 2015.

  29. [BS'14] H. Cecotti, B. Rivet, Subjects and electrodes combination in cooperative brain-computer interface based on event-related potentials, Brain Sciences, vol 4., pp. 335-355, 2014.

  30. [JOCN'14] R. W. Kasper, H. Cecotti, J. Touryan, M.P. Eckstein, B. Giesbrecht, Isolating the neural mechanisms of interference during continuous multisensory dual-task performance, Journal of Cognitive Neuroscience, vol. 26, no. 3, pp. 476-489, 2014.

  31. [NNLS'14]H. Cecotti, M.P. Eckstein, B. Giesbrecht, Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 11, pp. 2030-2042, 2014.

  32. [BTOPO'12] B. Rivet, H. Cecotti, E. Maby, J. Mattout, Impact of spatial filters during sensor selection in a visual P300 Brain-Computer Interface, Brain Topography, Vol. 25, No. 1, pp 55-63, 2012.

  33. [PHYSIO'11] B. Rivet, H. Cecotti, M. Perrin, E. Maby, J. Mattout, Adaptive training session for a P300 speller brain-computer interface, Journal of Physiology-Paris, Vol. 105, No. 1-3, pp 123-129, 2011.

  34. [PHYSIO'11] H. Cecotti, Spelling with Non-Invasive Brain-Computer Interfaces - Current and future trends, Journal of Physiology-Paris, Vol. 105, No. 1-3, pp. 106-114, 2011.

  35. [PRL'11] H. Cecotti, A Time-Frequency Convolutional Neural Network for the Offline Classification of Steady-State Visual Evoked Potential Responses, Pattern Recognition Letters, vol. 32, no. 8, p. 1145-1153, 2011.

  36. [IJB'11] H. Cecotti and B. Rivet, A pilot study for improving the graphical user interface of P300 based BCIs, International Journal of Bioelectromagnetism, 2p, 2011. (short paper)

  37. [IJB'11] H. Cecotti and B. Rivet, A solution to solve the dilemma of high frequencies and LCD screen for SSVEP responses, International Journal of Bioelectromagnetism, 2p, 2011. (short paper)

  38. [IJB'11] H. Cecotti and B. Rivet, One step beyond row and columns flashes in the P300 speller: a theoretical description, International Journal of Bioelectromagnetism, 2p, 2011. (short paper)

  39. [JNENG'11] H. Cecotti, B. Rivet, M. Congedo, C. Jutten, O. Bertrand, E. Maby, J. Mattout, A robust sensor selection method for P300 Brain-Computer Interfaces, Journal of Neural Engineering, vol. 8, 2011.

  40. [PAMI'11] H. Cecotti and A. Graeser, Convolutional neural networks for P300 Detection with Application to Brain-Computer Interfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 3, p. 433-445, 2011.

  41. [TS'11] H. Cecotti, B. Rivet, M. Congedo, C. Jutten, O. Bertrand, E. Maby, J. Mattout, Sélection de capteurs pour interfaces cerveau-ordinateur de type P300, Traitement du Signal, Vol. 27, No. 6, pp 515-540, 2010. (French journal)

  42. [TNSRE'10] H. Cecotti, A self-paced and calibration-less SSVEP based Brain-Computer Interface speller, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 18, no. 2, pp. 127-133, 2010.

Book

1. H. Cecotti, Data Structures & Algorithms with C++ for Students in Computer Science, 254 pages, 2021.

Book chapters

• 1. H. Cecotti, Feedforward artificial neural networks for event-related potential detection, Brain-Computer Interface, IET (in press), 2018.

  2. H. Cecotti, SSVEP Detection with Neural Networks, BrainRobot: Methods and Applications for Brain-Computer Interfaces, Axel Graeser (Ed.), Shaker Verlag, ISBN-978-3-8322-8201-1, pp. 69-87, 2010.

  3. H. Cecotti, P300 Detection with Neural Networks, BrainRobot: Methods and Applications for Brain-Computer Interfaces, Axel Graeser (Ed.), Shaker Verlag, ISBN-978-3-8322-8201-1, pp. 89-100, 2010.

  4. H. Cecotti and I. Volosyak, Reliable Stimuli on LCD Screen, BrainRobot: Methods and Applications for Brain-Computer Interfaces, Axel Graeser (Ed.), ISBN-978-3-8322-8201-1, Shaker Verlag, pp. 147-157, 2010.

  5. I. Volosyak, H. Cecotti and D. Valbuena, RehaCare 2008, BrainRobot: Methods and Applications for Brain-Computer Interfaces, Axel Graeser (Ed.), ISBN-978-3-8322-8201-1, Shaker Verlag, pp. 215-229, 2010.

  6. A. Belaïd et H. Cecotti, La numérisation de documents : Principe et évaluation des performances, Traité IC2, Hermès Science Publications, ISBN-2746211432, pp 311-361, 2006. (in French)

International conferences and workshops in proceedings (peer reviewed)

• 1. [SMC'24]  H. Cecotti, D. Dhaliwal, H. Singh, Y. Meena, Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024 (accepted). 

  2. [SMC'24] P. Shukla, H. Cecotti, Y. Meena, Towards Effective Deep Neural Network Approach for Single-Trial P300 Detection in Brain-Computer Interfaces, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024 (accepted). 

  3. [IJCNN'24] H. Cecotti, Single-Trial Detection and Session Detection in a Rapid Serial Visual Presentation Task with Covariate, Target Probability, and Concept Shifts,  IEEE International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.

  4. [IJCNN'24] P. Rajpura, H. Cecotti, Y.K Meena, Quantifying Spatial Domain Explanations in BCI Using Earth Mover's Distance, IEEE International Joint Conference on Neural Networks (IJCNN) Yokohama, Japan, 2024.

  5. [GALA'23] H. Cecotti, M. Callaghan, Assessment of Input Modalities for Control and Accessibility in Fully Immersive Virtual Reality Educational Game,  12nd Games and Learning Alliance Conference (GALA Conference 2023), 10p, 2023.

  6. [ICSIP'23]  R. H. Wong, L. Kantikov, H. Cecotti, Active learning based on clustering algorithms for the detection of grapes in images, 8th International Conference on Signal and Image Processing (ICSIP 2023), 6p, 2023.

  7. [ICSIP'23]  S. Jaimes, H. Cecotti, An Adaptive Virtual Keyboard with Visual and Auditory Feedback based the Detection of Steady-State Visual Evoked Potentials, 8th International Conference on Signal and Image Processing (ICSIP 2023), 5p, 2023. 

  8. [SMC'23 ] E. Smrkovsky, R. H. Wong, T. Tran, H. Cecotti, A Multimodal Virtual Keyboard in Fully Immersive Virtual Reality, IEEE International Conference on Systems, Man, and Cybernetics  (SMC), 6p, 2023.

  9. [iLRN'23] R. Romero and H. Cecotti, A Multimodal Document Viewer in Fully Immersive Virtual Reality, 9th International Conference of the Immersive Learning Research Network, 10p, 2023.

  10. [iLRN'23] H. Cecotti, A Serious Game based on Hidden Objects for Art History in Fully Immersive Virtual Reality, 9th International Conference of the Immersive Learning Research Network, 15p, 2023. (Best Academic Full Paper Award)

  11. [MCPR'23] E. Smrkovsky, H. Cecotti, Graph-based Semi-Supervised Learning using Riemannian Geometry Distance for Motor Imagery Classification, The 15th Mexican Conference on Pattern Recognition (MCPR2023), 10p, 2023.  

  12. [NER'23] S. Jaimes, H. Cecotti, Single-Trial Detection in Rapid Serial Visual Presentation Task using the Lilac Chaser Visual Illusion, 11th International IEEE EMBS Conference on Neural Engineering, 4p, 2023.

  13. [NER'23] K. Kilcrease, H. Cecotti, One-class classifier based on Riemannian Geometry Distances for Outlier Detection in Motor Imagery, 11th International IEEE EMBS Conference on Neural Engineering, 4p, 2023.

  14. [NER'23] H. Cecotti, Combining Density based and Linear Discriminant Approaches for Motor Imagery Classification, 11th International IEEE EMBS Conference on Neural Engineering, 4p, 2023.

  15. [RTIP2R'22] H. Cecotti, G. Tiwale, Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks, Int. Conf. on Recent Trends in Image Processing and Pattern Recognition (Lecture Notes in Computer Science), 11p., 2022.

  16. [RTIP2R'22] H. Cecotti, S. Jaimes, Single-trial detection of event-related potentials with artificial examples based on coloring transformation, Int. Conf. on Recent Trends in Image Processing and Pattern Recognition (Lecture Notes in Computer Science), 14p., 2022.

  17. [iLRN'22] H. Cecotti, A Serious Game in Fully Immersive Virtual Reality for Teaching Astronomy Based on the Messier Catalog, 8th International Conference of the Immersive Learning Research Network, 6p, 2022. 

  18. [MCPR'22] G. Tiwale, H.Cecotti, Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach,  14th Mexican Conference on Pattern Recognition, 10p, 2022. 

  19. [MCPR'22] H.Cecotti, Extreme Machine Learning Architectures based on Correlation, 14th Mexican Conference on Pattern Recognition, 10p, 2022.

  20. [TALE'21] H.Cecotti, M. Callaghan, Practical Application of the Learning Mechanics-Game Mechanics Framework for Serious Games Design and Analysis for the Development of Mental Computation in Virtual Reality, IEEE International Conference on Engineering, Technology, and Education , 6p, 2021.

  21. [TALE'21] H. Cecotti,  M. Callaghan, B. Foucher,  Serious Game for Medical Imaging in Fully Immersive Virtual Reality, IEEE International Conference on Engineering, Technology, and Education , 7p, 2021. (Best paper award)

  22. [iLRN'21] H. Cecotti, Great Paintings in Fully Immersive Virtual Reality, 7th International Conference of the Immersive Learning Research Network, 8p, 2021.

  23. [iLRN'20] H. Cecotti, Z. Day-Scott, L. Huisinga, L. Gordo-Pelaez, Virtual Reality for Immersive Learning in Art History, 6th International Conference of the Immersive Learning Research Network, 7p, 2020.

  24. [iLRN'20] H. Cecotti, Q. Richard, J. Gravellier, M. Callaghan, Magnetic Resonance Imaging Visualization in Fully Immersive Virtual Reality, 6th International Conference of the Immersive Learning Research Network, 4p, 2020. (Best short paper award)

  25. [ICMI'19] Y. Ding, B. Huynh, A. Xu, T. Bullock, H. Cecotti, M. Turk, B. Giesbrecht, T. Höllerer, Multimodal Classification of EEG During Physical Activity, International Conference on Multimodal Interaction, 2019.

  26. [EMBC'19] H. Cecotti, Y.K. Meena, B. Bhushan, A. Dutta, G. Prasad, A multiscript gaze-based assistive virtual keyboard, 41nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2019.

  27. [EMBC'19] H. Cecotti, G. Jha, 3D Convolutional Neural Networks for Event-Related Potential detection, 41nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2019.

  28. [NER'19] H. Cecotti, D. Rathee, One-class classification of propofol-induced sedation states using EEG signals, 9th International IEEE EMBS Conference On Neural Engineering, 4p, 2019.

  29. [NER'19] H. Cecotti, Dynamic time segment selection in steady state visual evoked potential detection, 9th International IEEE EMBS Conference On Neural Engineering, 4p, 2019.

  30. [RTIP2R'18] H. Cecotti, G. Jha, Training dataset extension through multiclass generative adversarial networks and k-nearest neighbor classifier, Int. Conf. on Recent Trends in Image Processing and Pattern Recognition (Lecture Notes in Computer Science), 14p., 2018.

  31. [RTIP2R'18] R. Sharma, H. Cecotti, Classification of graphical user interfaces through gaze-based features, Int. Conf. on Recent Trends in Image Processing and Pattern Recognition (Lecture Notes in Computer Science), 13p., 2018.

  32. [BHCI'18] Y.K. Meena, G. Prasad, A. Chowdhury, A. Dutta, U. Sharma, U. Sharma, B. Bhushan, H. Cecotti, A Hindi virtual keyboard interface with multimodal feedback: a case study with a dyslexic child, The 32nd British Human Computer Interaction Conference, 5p, 2018

  33. [EMBC'18] H. Cecotti, Y.K. Meena, G. Prasad, A multimodal virtual keyboard using eye-tracking and hand gesture detection, 40nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2018

  34. [EMBC'18] H. Cecotti, Single-trial target detection with multiple difficulty levels with magnetoencephalography, 40nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2018.

  35. [EMBC'18] D. Rathee, H. Cecotti, G. Prasad, Current source density estimates improve the discriminability of scalp-level brain connectivity features related to motor-imagery tasks, 40nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2018.

  36. [EMBC'18] D. Rathee, H. Cecotti, G. Prasad, Classification of propofol-induced sedation states using brain connectivity analysis, 40nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2018.

  37. [EMBC'18] S. Sanjay, H. Cecotti, A gaze-based virtual keyboard using a mouth switch for command selection, 40nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2018.

  38. [EMBC'17] H. Cecotti, Convolutional neural networks for event-related potential detection: impact of the architecture, 39nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2017.

  39. [EMBC'17] Y. K. Meena, H. Cecotti, K. Wong-Lin, G. Prasad, A Multimodal Interface to Resolve the Midas-Touch Problem in Gaze Controlled Wheelchair, 39nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2017.

  40. [EMBC'17] D. Rathee, H. Cecotti, G. Prasad, Propofol-induced Sedation Diminishes the Strength of Frontal-Parietal-Occipital EEG Network, 39nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2017.

  41. [EMBC'17] H. Cecotti, A. Barachant, J.-R. King, J. M. Sanchez Bornot, G. Prasad, Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge, 39nd Int. IEEE Conf. of the Engineering in Medicine and Biology Society, 4p, 2017.

  42. [RTIP2R'16] H. Cecotti, C. Boumedine, M. Callaghan, Hand-drawn symbol recognition in immersive virtual reality using deep extreme learning machines, Int. Conf. on Recent Trends in Image Processing and Pattern Recognition (Lecture Notes in Computer Science), 13p., 2016.

  43. [SMC'16] Y. K. Meena, A. Chowdhury, H. Cecotti, K. Wong-Lin, S. S. Nishad, A. Dutta, G. Prasad, EMOHEX: An Eye Tracker based Mobility and Hand Exoskeleton Device for Assisting Disabled People, Annual Conf of IEEE Systems, Men, and Cyberntics, 6p, 2016.

  44. [SMC'16] Y. K. Meena, H. Cecotti, K. Wong-Lin, G. Prasad, A Novel Multimodal Gaze-Controlled Hindi Virtual Keyboard for Disabled Users, Annual Conf of IEEE Systems, Men, and Cyberntics, 6p,2016.

  45. [IMVIP'16] H. Cecotti, B. Gardiner, Image quality assessment through brain signal analysis, Irish Machine Vision and Image Processing Conf., 2p, 2016. (short paper)

  46. [IMVIP'16] H. Cecotti, B. Gardiner, Classification of images using semi-supervised learning and structural similarity measure, Irish Machine Vision and Image Processing Conf., 2p, 2016. (short paper)

  47. [IJCNN'16] H. Cecotti, Deep Random Vector Functional Link Network for Handwritten Character Recognition, Int. Joint Conf. on Neural Networks, 6p, 2016.

  48. [IJCNN'16] D. Rathee, H. Cecotti, G. Prasad, Estimation of Effective Fronto-Parietal Connectivity during Motor Imagery using Partial Granger Causality Analysis, Int. Joint Conf. on Neural Networks, 7p, 2016.

  49. [IJCNN'16] H. Raza, H. Cecotti and G. Prasad, A Combination of Transductive and Inductive Learning for handling Non-Stationarities in Motor Imagery Classification, Int. Joint Conf. on Neural Networks, 8p, 2016.

  50. [UKCI'15] H. Cecotti, B. Rivet, Temporal Feature Selection for Optimizing Spatial Filters in P300 Brain-Computer Interface, 15th UK Workshop on Computational Intelligence (UKCI 2015), 5p, 2015.

  51. [UKCI'15] H. Cecotti, A. Ries, Implication of non-stationarity in single-trial detection performance of event-related potentials, 15th UK Workshop on Computational Intelligence (UKCI 2015), 4p, 2015.

  52. [EMBC'15] Y.K. Meena, H. Cecotti, K. Wong-Lin, G., Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery, 37nd International IEEE Conference of the Engineering in Medicine and Biology Society, 4p, 2015.

  53. [IJCNN'15] H. Cecotti, G. Prasad, Single-trial detection of realistic images with magnetoencephalography, International Joint Conference on Neural Networks, 7p, 2015.

  54. [IJCNN'15] H. Raza, H. Cecotti, Y. Li, G. Prasad, Learning with Covariate Shift-Detection and Adaptation in Non-Stationary Environments: Application to Brain-Computer Interface, International Joint Conference on Neural Networks, 7p, 2015.

  55. [IJCNN'15] H. Raza, H. Cecotti, G. Prasad, Optimising Frequency Band Selection with Forward-Addition and Backward-Elimination Algorithms in EEG-based Brain-Computer Interfaces, International Joint Conference on Neural Networks, 7p, 2015.

  56. [IJCNN'15] H. Cecotti, Greedy Multi-Class Label Propagation, International Joint Conference on Neural Networks, 7p, 2015.

  57. [IJCNN'15] H. Cecotti, Handwritten digit recognition of Indian scripts: a cascade of distances approach, International Joint Conference on Neural Networks, 7p, 2015.

  58. [BIBM'14] D. O'Doherty, Y.K. Meena, H. Raza, H. Cecotti, G. Prasad, Exploring Gaze-Motor Imagery Hybrid Brain-Computer Interface design, IEEE International Conference on Bioinformatics and Biomedicine, 5p, 2014.

  59. [BIBM'14] H. Raza, G. Prasad, Y. Li, H. Cecotti, Covariate Shift-Adaptation Using a Transductive Learning Model for Handling Non-Stationarity in EEG based Brain-Computer Interfaces, IEEE International Conference on Bioinformatics and Biomedicine, 6p, 2014.

  60. [EMBC'14] H. Cecotti, B. Rivet, Improving single-trial detection of event-related potentials through artificial deformed signals, 36nd International IEEE Conference of the Engineering in Medicine and Biology Society, 4p, 2014.

  61. [EMBC'14] H. Cecotti, M. P. Eckstein, B. Giesbrecht, Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition, 36nd International IEEE Conference of the Engineering in Medicine and Biology Society, 4p, 2014.

  62. [IJCNN'14] H. Cecotti, D. Coyle, Calibration-less detection of steady-state visual evoked potentials - comparisons and combinations of methods, International Joint Conference on Neural Networks, 7p, 2014.

  63. [ICASSP'14] H. Cecotti, B. Rivet, Performance estimation of a cooperative brain-computer interface based on the detection of steady-state visual evoked potentials, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.

  64. [ICDAR'13] H. Cecotti, S. Vajda, A Radial Neural Convolutional Layer for Multi-Oriented Character Recognition, 12th International Conference on Document Analysis and Recognition, 2013, 5p.

  65. [ICDAR'13] H. Cecotti, S. Vajda, Multi-class rejection evaluation in handwritten character recognition, 12th International Conference on Document Analysis and Recognition, 2013, 5p.

  66. [MLINI'12] H. Cecotti, M. P. Eckstein, B. Giesbrecht, EEG-based single-trial classification of targets in a rapid serial visual presentation task with supervised spatial filtering, Proc. of the 2nd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging, 7p, 2012.

  67. [EMBC'12] H. Cecotti, M.P. Eckstein, B. Giesbrecht, Effects of performing two visual tasks on single-trial detection of event-related potentials, 34nd International IEEE Conference of the Engineering in Medicine and Biology Society, San Diego, USA, 4p, 2012.

  68. [EMBC'12] H. Cecotti, A.J. Ries, M.P. Eckstein, B. Giesbrecht, Multiclass classification of single trial evoked EEG responses, 34nd International IEEE Conference of the Engineering in Medicine and Biology Society, San Diego, USA, 4p, 2012.

  69. [EMBC'11] H. Cecotti, R. Kasper, J.C. Elliott, M.P. Eckstein, B. Giesbrecht, Multimodal target detection using single trial evoked EEG responses in single and dual-tasks, 33nd International IEEE Conference of the Engineering in Medicine and Biology Society, Boston, USA, 4p, 2011.

  70. [EMBC'11] H. Cecotti, J. Sato-Reinhold, J.L. Sy, J.C. Elliott, M.P. Eckstein, B. Giesbrecht, Impact of target probability on single-trial EEG target detection in a difficult Rapid Serial Visual Presentation paradigm task, 33nd International IEEE Conference of the Engineering in Medicine and Biology Society, Boston, USA, 4p, 2011.

  71. [EUSIPCO'11] B. Rivet, H. Cecotti, A. Souloumiac, E. Maby, J. Mattout, Theoretical Analysis of xDAWN Algorithm: Application to an Efficient Sensor Selection in a P300 BCI, European Signal Processing Conference, 5p, 2011.

  72. [ICASSP'11] H. Cecotti, B. Rivet, Effect of the Visual Signal Structure on Steady-State Visual Evoked Potentials Detection, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), p. 657-660, 2011.

  73. [ISABEL'10] H. Cecotti, Classification of Steady-State Visual Evoked Potentials based on the Visual Stimuli Duty Cycle, 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2010, 5p.

  74. [ISABEL'10] H. Cecotti, R. Phlypo, B. Rivet, M. Congedo, E. Maby, J. Mattout, Impact of the time segment analysis for P300 detection with spatial filtering, 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2010, 5p.

  75. [EMBC'10] B. Rivet, H. Cecotti, R. Phlypo, O. Bertrand, E. Maby, J. Mattout, EEG sensor selection by sparse spatial filtering in P300 speller brain-computer interface, 32nd International IEEE Conference of the Engineering in Medicine and Biology Society, 4p, 2010.

  76. [EUSIPCO'10] H. Cecotti, B. Rivet, M. Congedo, C. Jutten, O. Bertrand, E. Maby, J. Mattout, Suboptimal Sensor Subset Evaluation in a P300 Brain-Computer Interface, European Signal Processing Conference (EUSIPCO), 5p, 2010.

  77. [EUSIPCO'10] H. Cecotti, I. Volosyak and A. Graeser, Reliable visual stimuli on LCD screens for SSVEP based BCI, European Signal Processing Conference, 5p, 2010.

  78. [ICBE'10] I. Volosyak, H. Cecotti, A. Graeser, Steady-state visual evoked potential response - Impact of the time segment length, 7th IASTED International Conference on Biomedical Engineering, 5p, Austria, 2010.

  79. [ICORR'09] I. Volosyak, H. Cecotti, D. Valbuena and A. Graeser, Evaluation of the Bremen SSVEP based BCI in real world conditions, 11th International IEEE Conference on Rehabilitation Robotics, pp. 322-331, 2009.

  80. [IWANN'09] I. Volosyak, H. Cecotti, A. Graeser, Impact of Frequency Selection on LCD screens for SSVEP based Brain-Computer Interfaces, 10th International Work-Conference on Artificial Neural Networks, LNCS 5517, pp. 706-713, 2009.

  81. [NEC'09] H. Cecotti, I. Volosyak, A. Graeser, Evaluation of an SSVEP based Brain-Computer Interface on the command and application levels, 4th International IEEE/EMBS Conference on Neural Engineering, Antalya, Turkey, pp. 474-477, 2009.

  82. [NEC'09] I. Volosyak, H. Cecotti, A. Graeser, Optimal visual stimuli on LCD screens for SSVEP based Brain-Computer Interfaces, 4th International IEEE/EMBS Conference on Neural Engineering, Antalya, Turkey, pp. 447-450, 2009.

  83. [ESANN'09] H. Cecotti and A. Graeser, Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface, European Symposium on Artificial Neural Networks, Belgium, pp. 473-478, 2009.

  84. [ICPR'08] H. Cecotti and A. Graeser, Convolutional Neural Network with embedded Fourier Transform for EEG classification, 19th International Conference on Pattern Recognition, Tampa, USA, 4p, 2008.

  85. [ICPR'08] H. Cecotti and A. Belaïd, Dynamic filters selection for textual document images denoising, 19th International Conference on Pattern Recognition, Tampa, 4p, USA, 2008.

  86. [EUSIPCO'08] H. Cecotti and A. Graeser, Time Delay Neural Network with Fourier Transform for Multiple Channel Detection of Steady-State Visual Evoked Potential for Brain-Computer Interfaces, European Signal Processing Conference, Lausanne, Switzerland, 5p, 2008.

  87. [BCIW'08] B. Allison, I. Volosyak, T. Lueth, D. Valbuena, I. Sugiarto, M.A. Spiegel, A. Teymourian, I.S. Condro, A. Brindusescu, K. Stenzel, H. Cecotti, A. Graeser, BCI Demographics I: How many (and what kinds of) people can use an SSVEP BCI?, 4th International Brain-Computer Interface Workshop, Graz, Austria, pp. 333-338, 2008.

  88. [MCS'07] H. Cecotti and A. Belaïd, Hierarchical Behavior Knowledge Space, LNCS 4472, ISBN-3540724818, 7th International Workshop on Multiple Classifier Systems, Prague, Czech Republic, pp. 421-430, 2007.

  89. [IWFHR'06] S. Vajda, H. Cecotti, Y. Rangoni and A. Belaïd, A fast learning strategy using pattern selection for feedforward neural networks, 10th International Workshop on Frontiers in Handwriting Recognition, La Baule, France, 6p, 2006.

  90. [ICDAR'05] H. Cecotti and A. Belaïd, Hybrid OCR combination approach complemented by a specialized ICR applied on ancient documents, IEEE 8th International Conference on Document Analysis and Recognition, Seoul, Korea, pp. 1045-1049, 2005.

  91. [ICDAR'05] H. Cecotti and A. Belaïd, Rejection strategy for Convolutional Neural Network by Adaptive Topology Applied to Handwritten Digits Recognition, IEEE 8th International Conference on Document Analysis and Recognition, Seoul, Korea, pp. 765-769, 2005.

  92. [NNLDAR'05] H. Cecotti, S. Vajda and A. Belaïd, HMM based Viterbi paths for rejection correction in a convolutional neural network classifier, Proc. of Neural Networks and Learning in Document Analysis and Recognition, Seoul, Korea, pp. 23-27, 2005.

  93. [ICAPR'05] H. Cecotti, S. Vajda and A. Belaïd, High performance classifiers combination for handwritten digit recognition, LNCS 3686, ISBN-3540287574, 3rd International Conference on Advances in Pattern Recognition, Bath, UK, pp. 619-626, 2005.

  94. [ICAPR'05] H. Cecotti and A. Belaïd, Hybrid OCR combination for ancient document, LNCS 3686, ISBN-3540287574, 3rd International Conference on Advances in Pattern Recognition, Bath, UK, pp. 646-653, 2005.

  95. [IWDA'05] A. Belaïd, A. Alusse, Y. Rangoni, H. Cecotti, F. Farah, N. Gagean, D. Fiala, F. Rousselot, H. Vigne, Document Retro-conversion for Personalized Electronic Reedition, International Workshop on Document Analysis, Kolkata, India, pp. 193-218, 2005.

  96. [SETIT'05] H. Cecotti and A. Belaïd, Topologies Adaptatives dans un système NN/SOM, IEEE 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, Sousse, Tunisie, 2005.

  97. [CIFED'04] H. Cecotti, C. Choisy et A. Belaïd, Réseau de Neurones à Topologie Dynamique, Comparaison avec des invariants pour la reconnaissance de caractères multi-orientés multi-échelles. Colloque International Francophone sur l'écrit et le document, La Rochelle, France, pp. 279-284, 2004.

  98. [PRIS'04] C. Choisy, H. Cecotti and A. Belaïd. Character rotation absorption using a dynamic neural network topology: comparison with invariant features, International Workshop on Pattern Recognition in Information Systems, Porto, Portugal, PRIS 04, pp. 90-97, 2004.

National and local conferences

• 1. [HTH'24] H. Cecotti, Challenges in brain-computer interfaces: from the lab to clinical applications, HealthTech Horizon Symposium, 2024 (talk) 

  2. [CSU'23] R. Wong,  H. Patel, H. Cecotti, Detection of Grapes in Images with an Active Learning Approach , Third Annual Computer Science Conference for CSU Undergraduates, 5p, 2023.

  3. [CSU'22] E. Smrkovsky, J. Ochoa, N. Mannan, N. Bean, H. Cecotti, Evaluation of a Tree-based Menu Virtual Keyboard in Fully immersive Virtual Reality, Second Annual Computer Science Conference for CSU Undergraduates, 5p, 2022.

  4. [CSU'22] J. Bocanegra, H. Cecotti, Tamentai An Abstract Strategic Board Game in Fully Immersive Virtual Reality, Second Annual Computer Science Conference for CSU Undergraduates, 5p, 2022.

  5. [NEUROCOMP'10] H. Cecotti, Effect of the Stimulus Duty Cycle on Steady-State Visual Evoked Potential detection, 5th French Conference on Computational Neuroscience, pp. 205-209, 2010.

  6. [NEUROCOMP'10] H. Cecotti, Spelling with Brain-Computer Interface - Current trends and prospects, 5th French Conference on Computational Neuroscience, pp. 215-220, 2010.

  7. [NEUROCOMP'10] H. Cecotti, G. Saint-Ellier, B. Rivet, M. Perrin, E. Maby, J. Mattout, Reducing Calibration Time for the P300 Brain-Computer Interface Speller, 5th French Conference on Computational Neuroscience, pp. 210-214, 2010.

Abstracts and poster presentations

• 1. [CCRS'24] L. Kantikov, H. Cecotti, Active Learning Based on Clustering Algorithms applied to Handwritten Digit Classification, 45th Annual Central California Research Symposium, 2024.

  2. [CCRS'24] H. Singh, D. Dhaliwal, H. Cecotti, Extreme Learning Machines WITH PoST TRAINING QUANTIZATION, 45th Annual Central California Research Symposium, 2024.

  3. [CCRS'24] I. Ramirez, H. Cecotti, A new graphical user interface for brain-computer interface based on the P300, 45th Annual Central California Research Symposium, 2024.

  4. [CSU'24] H. Cecotti, Immersive learning with fully immersive virtual reality: case studies, CSU Symposium on Teaching and Learning, 2024.

  5. [CAL OER'22] R. Amarasinghe, E. Balderama, H. Cecotti, Promoting Mastery Through Adaptive Learning, CAL OER 2022.  

  6. [CCRS'21] N. Mannan, J. Mendez, E. Holevas, A. Sharma, and J. Fernando, H. Cecotti, Enhancing spacecraft cockpits in fully immersive virtual reality, The 42nd Annual Virtual Central California Research Symposium , 2021.

  7. [PSSS'21] K. Munk, C.C. Licon, H. Cecotti, M. Shapiro, M.A. Pedroza  Characterization of wine aroma pleasantness using facial muscular activity, 14th Pangborn Sensory Science Symposium, 2021.

  8. [CSU'20] H. Cecotti, Z. Day-Scott, L. Huisinga, L. Gordo-Pelaez, Immersive Virtual Reality for students in Art History, CSU Symposium on Teaching and Learning, 2020.

  9. [CSU'19] H. Cecotti, Memes in the classroom for better relationships with students, CSU Symposium, 2019.

  10. [CCRS'18] A. Elisa, H. Cecotti, Predicting Graduation Rates for Freshmen to Graduate in 4, 5 or 6 Years, The 39th Annual Central California Research Symposium, 2018. (Outstanding Oral Presentation award)

  11. [CCRS'18] R. Sharma, H. Cecotti, Software Usability and Graphical User Interface Validation Through Eye-Tracking, The 39th Annual Central California Research Symposium, 2018.

  12. [BCI'18] D. Rathee, H. Cecotti, G. Prasad, Exploring single-trial detection of motor and cognitive imagery tasks with Magnetoencephalography based Brain-Computer Interface, 7th International BCI Meeting, 2018.

  13. [BCI'18] H. Cecotti, Single-trial target detection with Magnetoencephalography with multiple difficulty levels, 7th International BCI Meeting, 2018.

  14. [UCSF'18] H. Cecotti, J. Gravellier, M. Callaghan, Magnetic Resonance Imaging Scan Visualization in Fully Immersive Virtual Reality, 3rd Annual UCSF Fresno Education Symposium, 2018.

  15. [TMED'17] D. Rathee, H. Cecotti, G. Prasad, Functional Connectivity Networks and Tangent Space Analysis Efficiently Discriminate Distinct Levels of Propofol-induced Sedation, 8th Annual Translational Medicine Conf., 2017.

  16. [EGPROC'17] Y.K. Meena, K. Wong-Lin, H. Cecotti, G. Prasad, Hybrid brain-computer interface for effective communication of decisions, 36th meeting of the European Group of Process Tracing Studies in Judgment and Decision Making (EGPROC), 2017.

  17. [ECVP'17] T. Bullock, B. Giesbrecht, J.C. Elliott, H. Cecotti, J.T. Serences, Acute exercise modulates visual responses in human cortex, 40th European Conference on Visual Perception (ECVP), 2017.

  18. [MEGUK'17] D. Rathee, H. Cecotti, G. Prasad, Comparing Cognitive and Motor Imagery Features for Classification of MEG Responses, MEG-UK conference, 2017.

  19. [NEUROINF'16] D. Rathee, H. Cecotti, G. Prasad, Effective Connectivity Analysis in Fronto-Centro-Parietal Network during Altered Levels of Consciousness, Neuroinformatics, 2016. Link

  20. [MEGUK'16] D. Rathee, H. Cecotti, G. Prasad, (Un)Consciousness and time-series complexity: A study with spontaneous EEG, MEG-UK conference, 2016.

  21. [MEGUK'16] H. Cecotti, Single-trial detection with Magnetoencephalography: Application to target detection in images, MEG-UK conference, 2016.

  22. [TMED'15] Y. K. Meena, H. Cecotti, K. Wong-lin, and G. Prasad, Powered wheelchair control with a multimodal interface using eye-tracking and a soft-switch, 7th Annual Translational Medicine Conference, 2015.

  23. [EMBC'15] Y. K. Meena, H. Cecotti, K. Wong-lin, and G. Prasad, Simultaneous gaze and motor imagery hybrid BCI increases single-trial detection performance: a compatible-incompatible study, 9th IEEE-EMBS International Summer School on Biomedical Signal Processing, 2015. 3rd place award

  24. [EMBC'14] H. Raza, G. Prasad, Y. Li, H. Cecotti, Toward Transductive Learning Classifiers for Non-Stationary EEG, 36th Annual International IEEE EMBS Conference, 1p.

  25. [VSS'14] T.W. Bullock, H. Cecotti, B. Giesbrecht, Electrophysiological evidence that acute bouts of exercise modulate multiple stages of information processing, Vision Sciences Society 13th Annual Meeting, 2014.

  26. [SFN'13] T.W. Bullock, H. Cecotti, B. Giesbrecht, Electrophysiological monitoring of cognitive performance during exercise, Society of Neuroscience 2013.

  27. [IWM'13] B. Giesbrecht, T. Bullock, H. Cecotti, J.C. Elliott, Electrophysiological monitoring of cognitive performance at rest and during exercise, International workshop on the biomedical basis of human performance across the lifespan, 2013.

  28. [BMDI'12] H. Cecotti, A. Ries, J. Touryan, M.P. Eckstein, L. Gibson, B. Giesbrecht, Adaptive Integration and Optimization of Automated and Neural Processing Systems, IEEE EMB/CAS/SMC Workshop on Brain-Machine-Body Interfaces, pp. 5, 2012.

  29. [ICB'12] B. Giesbrecht, M.P. Eckstein, H. Cecotti, L. Gibson, J. Touryan, A. Ries, Adaptive Integration and Optimization of Automated and Neural Processing Systems, 2012 ICB Army-Industry Collaboration Conference.

  30. [SFN'11] H. Cecotti, J. Sato-Reinhold, J.L. Sy, M.P. Eckstein, B. Giesbrecht, Using single trial EEG to detect visual targets with unkown stimulus onsets, Society of Neuroscience 2011.

  31. [SFN'11] R.W. Kasper, H. Cecotti, M.P. Eckstein, B. Giesbrecht, Electrophysiological consequences of multimodal continuous dual task performance, Society of Neuroscience 2011.

  32. H. Cecotti, An Artificial Neural network for SSVEP detection - Application to Brain-Computer Interfaces, 30th Colloquium of Automation in Salzhausen, Germany, 2008.

Research report

• 1. L. Gibson, J. Touryan, A. Ries, K. McDowell, H. Cecotti, B. Giesbrecht, Adaptive Integration and Optimization of Automated and Neural Processing Systems - Establishing Neural and Behavioral Benchmarks of Optimized Performance, Defense Technical Information Center (DTIC) online, 60p., 2012.

  2. H. Cecotti, B. Rivet, Toward Enhancing the User-Friendly Aspect of a P300-based Brain-Computer Interface, 7p, 2011.