Laurent Bougrain
Orcid: 0000-0001-6794-0505
According to our database1,
Laurent Bougrain
authored at least 34 papers
between 1999 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2021
Optimizing Motor Intention Detection With Deep Learning: Towards Management of Intraoperative Awareness.
IEEE Trans. Biomed. Eng., 2021
Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System.
Comput. Intell. Neurosci., 2019
Innovative Brain-Computer Interface based on motor cortex activity to detect accidental awareness during general anesthesia.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019
2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Profiling BCI users based on contralateral activity to improve kinesthetic motor imagery detection.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the From Vision to Reality, 2017
2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Comparison of sensorimotor rhythms in EEG signals during simple and combined motor imageries over the contra and ipsilateral hemispheres.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2013
Wavelet-based Semblance for P300 Single-trial Detection.
Proceedings of the BIOSIGNALS 2013, 2013
2012
From the decoding of cortical activities to the control of a JACO robotic arm: a whole processing chain
CoRR, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2007
Neurocomputing, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
Supervised neuronal approaches for EEG signal classification: Experimental studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006
2005
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages
CoRR, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Optimal Brain Surgeon Variants for Optimization.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2000
Etude de la construction par réseaux neuromimétiques de représentations interprétables : Application à la prédiction dans le domaine des télécommunications. (Artificial neural networks arrangements leading to knowledge extraction / Artificial neural networks arrangements leading to knowledge extraction : Application to forecasting for telecommunication).
PhD thesis, 2000
1999
Unsupervised connectionist algorithms for clustering an environmental data set: A comparison.
Neurocomputing, 1999
Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem.
Proceedings of the International Joint Conference Neural Networks, 1999