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ORCIDHubert Cecotti
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- affiliation: Ulster University, Northern Ireland, UK
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2020 – today
- 2024
[j22]Hubert Cecotti
, Laura Huisinga, Luis Gordo-Pelaez:
Fully immersive learning with virtual reality for assessing students in art history. Virtual Real. 28(1): 33 (2024)- [c75]Hubert Cecotti:
Single-trial detection and session detection in a rapid serial visual presentation task with covariate, target probability, and concept shifts. IJCNN 2024: 1-7 - [c74]Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena:
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance. IJCNN 2024: 1-8 - [i6]Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena:
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance. CoRR abs/2405.01277 (2024) - 2023
- [j21]Yogesh Kumar Meena, Hubert Cecotti, Braj Bhushan, Ashish Dutta, Girijesh Prasad:
Detection of Dyslexic Children Using Machine Learning and Multimodal Hindi Language Eye-Gaze-Assisted Learning System. IEEE Trans. Hum. Mach. Syst. 53(1): 122-131 (2023) - [c73]Hubert Cecotti, Louis van der Putten, Robin Coste, Michael James Callaghan:
Assessment of Input Modalities for Control and Accessibility in Fully Immersive Virtual Reality Educational Game. GALA 2023: 289-298 - [c72]Hubert Cecotti:
A Serious Game Based on Hidden Objects for Art History in Fully Immersive Virtual Reality. iLRN 2023: 223-238 - [c71]Rogelio Romero, Hubert Cecotti:
A Multimodal Document Viewer in Fully Immersive Virtual Reality. iLRN 2023: 300-310 - [c70]Eric Smrkovsky, Hubert Cecotti:
Graph-Based Semi-supervised Learning Using Riemannian Geometry Distance for Motor Imagery Classification. MCPR 2023: 317-326 - [c69]Hubert Cecotti:
Combining Density based and Linear Discriminant Approaches for Motor Imagery Classification. NER 2023: 1-4 - [c68]Steve Jaimes, Hubert Cecotti:
Single-Trial Detection in Rapid Serial Visual Presentation Task using the Lilac Chaser Visual Illusion. NER 2023: 1-4 - [c67]Kyle Kilcrease, Hubert Cecotti:
One-class classifier based on Riemannian Geometry Distances for Outlier Detection in Motor Imagery. NER 2023: 1-4 - [c66]Eric Smrkovsky, Ren Hao Wong, Thuy Uyen My Tran, Hubert Cecotti:
A Multimodal Virtual Keyboard in Fully Immersive Virtual Reality. SMC 2023: 1555-1560 - [i5]Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena:
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space. CoRR abs/2312.13033 (2023) - 2022
- [j20]Hubert Cecotti:
Cultural Heritage in Fully Immersive Virtual Reality. Virtual Worlds 1(1): 82-102 (2022) - [c65]Hubert Cecotti:
A Serious Game in Fully Immersive Virtual Reality for Teaching Astronomy Based on the Messier Catalog. iLRN 2022: 1-7 - [c64]Hubert Cecotti:
Extreme Machine Learning Architectures Based on Correlation. MCPR 2022: 137-146 - [c63]Girish Tiwale, Hubert Cecotti:
Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach. MCPR 2022: 159-168 - [c62]Hubert Cecotti, Girish Tiwale:
Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks. RTIP2R 2022: 179-189 - [c61]Hubert Cecotti, Steve Jaimes:
Single-Trial Detection of Event-Related Potentials with Artificial Examples Based on Coloring Transformation. RTIP2R 2022: 371-382 - 2021
- [j19]Gregory Dzhezyan, Hubert Cecotti:
Symmetrical filters in convolutional neural networks. Int. J. Mach. Learn. Cybern. 12(7): 2027-2039 (2021) - [c60]Hubert Cecotti:
Great Paintings in Fully Immersive Virtual Reality. iLRN 2021: 1-8 - [c59]Hubert Cecotti, Michael Callaghan, Benjamin Foucher, Stevens Joslain:
Serious Game for Medical Imaging in Fully Immersive Virtual Reality. TALE 2021: 615-621 - [c58]Hubert Cecotti, Michael 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. TALE 2021: 1067-1072 - 2020
- [j18]Hubert Cecotti, Agustin Rivera, Majid Farhadloo, Miguel A. Pedroza:
Grape detection with convolutional neural networks. Expert Syst. Appl. 159: 113588 (2020) - [j17]Hubert Cecotti:
Rotation invariant descriptors for galaxy morphological classification. Int. J. Mach. Learn. Cybern. 11(8): 1839-1853 (2020) - [j16]Ganesh Jha, Hubert Cecotti:
Data augmentation for handwritten digit recognition using generative adversarial networks. Multim. Tools Appl. 79(47): 35055-35068 (2020) - [c57]Hubert Cecotti, Zachary Day-Scott, Laura Huisinga, Luis Gordo-Pelaez:
Virtual Reality for Immersive Learning in Art History. iLRN 2020: 16-23 - [c56]Hubert Cecotti, Quentin Richard, Joseph Gravellier, Michael Callaghan:
Magnetic Resonance Imaging Visualization in Fully Immersive Virtual Reality. iLRN 2020: 205-209
2010 – 2019
- 2019
- [j15]Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, Hubert Cecotti, Girijesh Prasad:
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing 343: 154-166 (2019) - [j14]Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad:
Design and evaluation of a time adaptive multimodal virtual keyboard. J. Multimodal User Interfaces 13(4): 343-361 (2019) - [c55]Hubert Cecotti, Yogesh Kumar Meena, Braj Bhushan, Ashish Dutta, Girijesh Prasad:
A multiscript gaze-based assistive virtual keyboard. EMBC 2019: 1306-1309 - [c54]Hubert Cecotti, Ganesh Jha:
3D Convolutional Neural Networks for Event-Related Potential detection. EMBC 2019: 4160-4163 - [c53]Yi Ding, Brandon Huynh, Aiwen Xu, Tom Bullock, Hubert Cecotti, Matthew A. Turk, Barry Giesbrecht, Tobias Höllerer:
Multimodal Classification of EEG During Physical Activity. ICMI 2019: 185-194 - [c52]Hubert Cecotti:
Dynamic time segment selection in steady state visual evoked potential detection. NER 2019: 514-517 - [c51]Hubert Cecotti, Dheeraj Rathee:
One-class classification of propofol-induced sedation states using EEG signals. NER 2019: 518-521 - [i4]Gregory Dzhezyan, Hubert Cecotti:
SymNet: Symmetrical Filters in Convolutional Neural Networks. CoRR abs/1906.04252 (2019) - 2018
- [c50]Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad:
Classification of propofol-induced sedation states using brain connectivity analysis. EMBC 2018: 1-4 - [c49]Hubert Cecotti:
Relationships Between Behavioral And Single-Trial Target Detection Performance With Magnetoencephalography. EMBC 2018: 9-12 - [c48]Hubert Cecotti, Yogesh Kumar Meena, Girijesh Prasad:
A multimodal virtual keyboard using eye-tracking and hand gesture detection. EMBC 2018: 3330-3333 - [c47]Sanjay Soundarajan, Hubert Cecotti:
A Gaze-Based Virtual Keyboard Using a Mouth Switch for Command Selection. EMBC 2018: 3334-3337 - [c46]Rishabh Sharma, Hubert Cecotti:
Classification of Graphical User Interfaces Through Gaze-Based Features. RTIP2R (1) 2018: 3-16 - [c45]Hubert Cecotti, Ganesh Jha:
Training Dataset Extension Through Multiclass Generative Adversarial Networks and K-nearest Neighbor Classifier. RTIP2R (1) 2018: 596-610 - [i3]Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, Hubert Cecotti, Girijesh Prasad:
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface. CoRR abs/1805.01044 (2018) - [i2]Hubert Cecotti:
Rotation Invariant Descriptors for Galaxy Morphological Classification. CoRR abs/1812.04706 (2018) - 2017
- [j13]Hubert Cecotti:
Hierarchical k-Nearest Neighbor with GPUs and a High Performance Cluster: Application to Handwritten Character Recognition. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750005:1-1750005:24 (2017) - [c44]Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad:
A multimodal interface to resolve the Midas-Touch problem in gaze controlled wheelchair. EMBC 2017: 905-908 - [c43]Hubert Cecotti:
Convolutional neural networks for event-related potential detection: impact of the architecture. EMBC 2017: 2031-2034 - [c42]Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad:
Propofol-induced sedation diminishes the strength of frontal-parietal-occipital EEG network. EMBC 2017: 4463-4466 - [c41]Hubert Cecotti, Alexandre Barachant, Jean-Rémi King, Jose Miguel Sanchez Bornot, Girijesh Prasad:
Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge. EMBC 2017: 4467-4470 - 2016
- [j12]Hubert Cecotti:
Active graph based semi-supervised learning using image matching: Application to handwritten digit recognition. Pattern Recognit. Lett. 73: 76-82 (2016) - [j11]Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad:
Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface. Soft Comput. 20(8): 3085-3096 (2016) - [j10]Hubert Cecotti:
Single-Trial Detection With Magnetoencephalography During a Dual-Rapid Serial Visual Presentation Task. IEEE Trans. Biomed. Eng. 63(1): 220-227 (2016) - [j9]Hubert Cecotti:
A Multimodal Gaze-Controlled Virtual Keyboard. IEEE Trans. Hum. Mach. Syst. 46(4): 601-606 (2016) - [c40]Haider Raza, Hubert Cecotti, Girijesh Prasad:
A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification. IJCNN 2016: 763-770 - [c39]Dheeraj Rathee, Hubert Cecotti, Girijesh Prasad:
Estimation of Effective Fronto-Parietal connectivity during Motor Imagery using partial granger causality analysis. IJCNN 2016: 2055-2062 - [c38]Hubert Cecotti:
Deep Random Vector Functional Link Network for handwritten character recognition. IJCNN 2016: 3628-3633 - [c37]Hubert Cecotti, Cyrus Boumedine, Michael Callaghan:
Hand-Drawn Symbol Recognition in Immersive Virtual Reality Using Deep Extreme Learning Machines. RTIP2R 2016: 80-92 - [c36]Yogesh Kumar Meena, Anirban Chowdhury, Hubert Cecotti, KongFatt Wong-Lin, Shyam Sunder Nishad, Ashish Dutta, Girijesh Prasad:
EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people. SMC 2016: 2122-2127 - [c35]Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad:
A novel multimodal gaze-controlled Hindi virtual keyboard for disabled users. SMC 2016: 3688-3693 - [i1]Hubert Cecotti, Bertrand Rivet:
Toward improving the visual stimulus meaning for increasing the P300 detection. CoRR abs/1612.03640 (2016) - 2015
- [j8]Szilárd Vajda, Yves Rangoni, Hubert Cecotti:
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit. Lett. 58: 23-28 (2015) - [j7]Hubert Cecotti:
Toward shift invariant detection of event-related potentials in non-invasive brain-computer interface. Pattern Recognit. Lett. 66: 127-134 (2015) - [j6]Hubert Cecotti, Amar R. Marathe, Anthony J. Ries:
Optimization of Single-Trial Detection of Event-Related Potentials Through Artificial Trials. IEEE Trans. Biomed. Eng. 62(9): 2170-2176 (2015) - [c34]Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong-Lin, Girijesh Prasad:
Towards increasing the number of commands in a hybrid brain-computer interface with combination of gaze and motor imagery. EMBC 2015: 506-509 - [c33]Hubert Cecotti:
Handwritten digit recognition of Indian scripts: A cascade of distances approach. IJCNN 2015: 1-7 - [c32]Hubert Cecotti:
Greedy multi-class label propagation. IJCNN 2015: 1-6 - [c31]Hubert Cecotti, Girijesh Prasad:
Single-trial detection of realistic images with magnetoencephalography. IJCNN 2015: 1-6 - [c30]Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad:
Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface. IJCNN 2015: 1-8 - [c29]Haider Raza, Hubert Cecotti, Girijesh Prasad:
Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces. IJCNN 2015: 1-7 - 2014
- [j5]Ryan W. Kasper, Hubert Cecotti, Jon Touryan, Miguel P. Eckstein, Barry Giesbrecht:
Isolating the Neural Mechanisms of Interference during Continuous Multisensory Dual-task Performance. J. Cogn. Neurosci. 26(3): 476-489 (2014) - [j4]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2030-2042 (2014) - [c28]Haider Raza, Girijesh Prasad, Yuhua Li, Hubert Cecotti:
Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces. BIBM 2014: 230-236 - [c27]Darren O'Doherty, Yogesh Kumar Meena, Haider Raza, Hubert Cecotti, Girijesh Prasad:
Exploring gaze-motor imagery hybrid brain-computer interface design. BIBM 2014: 335-339 - [c26]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition. EMBC 2014: 1282-1285 - [c25]Hubert Cecotti, Bertrand Rivet:
Improving single-trial detection of event-related potentials through artificial deformed signals. EMBC 2014: 4115-4118 - [c24]Hubert Cecotti, Bertrand Rivet:
Performance estimation of a cooperative brain-computer interface based on the detection of steady-state visual evoked potentials. ICASSP 2014: 2059-2063 - [c23]Hubert Cecotti, Damien Coyle:
Calibration-less detection of steady-state visual evoked potentials-comparisons and combinations of methods. IJCNN 2014: 4050-4055 - 2013
- [c22]Hubert Cecotti, Szilárd Vajda:
Rejection Schemes in Multi-class Classification - Application to Handwritten Character Recognition. ICDAR 2013: 445-449 - [c21]Hubert Cecotti, Szilárd Vajda:
A Radial Neural Convolutional Layer for Multi-oriented Character Recognition. ICDAR 2013: 668-672 - 2012
- [c20]Hubert Cecotti, Anthony J. Ries, Miguel P. Eckstein, Barry Giesbrecht:
Multiclass classification of single-trial evoked EEG responses. EMBC 2012: 1719-1722 - [c19]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Effects of performing two visual tasks on single-trial detection of event-related potentials. EMBC 2012: 1723-1726 - 2011
- [j3]Hubert Cecotti, Axel Gräser:
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 433-445 (2011) - [j2]Hubert Cecotti:
A time-frequency convolutional neural network for the offline classification of steady-state visual evoked potential responses. Pattern Recognit. Lett. 32(8): 1145-1153 (2011) - [c18]Hubert Cecotti, Ryan W. Kasper, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht:
Multimodal target detection using single trial evoked EEG responses in single and dual-tasks. EMBC 2011: 6311-6314 - [c17]Hubert Cecotti, Joyce Sato-Reinhold, Jocelyn L. Sy, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht:
Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task. EMBC 2011: 6381-6384 - [c16]Bertrand Rivet, Hubert Cecotti, Antoine Souloumiac, Emmanuel Maby, Jérémie Mattout:
Theoretical analysis of xDAWN algorithm: Application to an efficient sensor selection in a p300 BCI. EUSIPCO 2011: 1382-1386 - [c15]Hubert Cecotti, Bertrand Rivet:
Effect of the visual signal structure on Steady-State Visual Evoked Potentials detection. ICASSP 2011: 657-660 - 2010
- [j1]Hubert Cecotti, Bertrand Rivet, Marco Congedo, Christian Jutten, Olivier Bertrand, Emmanuel Maby, Jérémie Mattout:
Sélection de capteurs pour interfaces cerveau-ordinateur de type P300. Traitement du Signal 27(6): 515-540 (2010) - [c14]Hubert Cecotti, Ivan Volosyak, Axel Gräser:
Reliable visual stimuli on LCD screens for SSVEP based BCI. EUSIPCO 2010: 919-923 - [c13]Hubert Cecotti, Bertrand Rivet, Marco Congedo, Christian Jutten, Olivier Bertrand, Emmanuel Maby, Jérémie Mattout:
Suboptimal sensor subset evaluation in a P300 brain-computer interface. EUSIPCO 2010: 924-928
2000 – 2009
- 2009
- [c12]Hubert Cecotti, Axel Graeser:
Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface. ESANN 2009 - [c11]Ivan Volosyak, Hubert Cecotti, Axel Gräser:
Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces. IWANN (1) 2009: 706-713 - 2008
- [c10]Hubert Cecotti, Axel Gräser:
Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces. EUSIPCO 2008: 1-5 - [c9]Hubert Cecotti, Abdel Belaïd:
Dynamic filters selection for textual document image binarization. ICPR 2008: 1-4 - [c8]Hubert Cecotti, Axel Gräser:
Convolutional Neural Network with embedded Fourier Transform for EEG classification. ICPR 2008: 1-4 - 2007
- [c7]Hubert Cecotti, Abdel Belaïd:
Hierarchical Behavior Knowledge Space. MCS 2007: 421-430 - 2005
- [c6]Hubert Cecotti, Abdel Belaïd:
A New Rejection Strategy for Convolutional Neural Network by Adaptive Topology. CORES 2005: 129-136 - [c5]Hubert Cecotti, Szilárd Vajda, Abdel Belaïd:
High Performance Classifiers Combination for Handwritten Digit Recognition. ICAPR (1) 2005: 619-626 - [c4]Hubert Cecotti, Abdel Belaïd:
Hybrid OCR Combination for Ancient Documents. ICAPR (1) 2005: 646-653 - [c3]Hubert Cecotti, Abdel Belaïd:
Rejection strategy for Convolutional Neural Network by adaptive topology applied to handwritten digits recognition. ICDAR 2005: 765-769 - [c2]Hubert Cecotti, Abdel Belaïd:
Hybrid OCR combination approach complemented by a specialized ICR applied on ancient documents. ICDAR 2005: 1045-1049 - 2004
- [c1]Christophe Choisy, Hubert Cecotti, Abdel Belaïd:
Character Rotation Absorption Using a Dynamic Neural Network Topology: Comparison With Invariant Features. PRIS 2004: 90-97
Coauthor Index
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