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Tetiana Aksenova
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2020 – today
- 2022
- [c12]Maciej Sliwowski
, Matthieu Martin
Deep Learning for ECoG Brain-Computer Interface: End-to-End vs. Hand-Crafted Features. AI*IA 2022: 358-373 - [i4]Alexandre Moly, Thomas Costecalde, Félix Martel, Christelle Larzabal, Serpil Karakas, Alexandre Verney, Guillaume Charvet, Stéphan Chabardès, Alim-Louis Benabid, Tetiana Aksenova:
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic. CoRR abs/2201.10449 (2022) - [i3]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance. CoRR abs/2209.03789 (2022) - [i2]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features. CoRR abs/2210.02544 (2022) - 2021
- [c11]Vincent Rouanne, Maciej Sliwowski, Thomas Costecalde, Alim-Louis Benabid, Tetiana Aksenova:
Detection of Error Correlates in the Motor Cortex in a Long Term Clinical Trial of ECoG based Brain Computer Interface. BIOSIGNALS 2021: 26-34 - [i1]Maciej Sliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, Tetiana Aksenova:
Decoding ECoG signal into 3D hand translation using deep learning. CoRR abs/2110.03528 (2021) - 2020
- [j1]Vincent Auboiroux
Space-Time-Frequency Multi-Sensor Analysis for Motor Cortex Localization Using Magnetoencephalography. Sensors 20(9): 2706 (2020) - [c10]Félix Martel, Tamara Dupuy, Alexandre Moly, Stéphan Chabardès, Tetiana Aksenova
Evaluation criteria for closed-loop adaptive dynamic discrete-continuous brain-computer interfaces: clinical study case with tetraplegic patient. IJCNN 2020: 1-10
2010 – 2019
- 2019
- [c9]Guillaume Jubien, Marie-Caroline Schaeffer, Stéphane Bonnet, Tetiana Aksenova:
Decoding of finger activation from ECoG data: a comparative study. IJCNN 2019: 1-8 - [c8]Nana Arizumi, Tetiana Aksenova
Fast Continuous Wavelet Transform for Brain Computer Interface using piecewise polynomials. ISSPIT 2019: 1-6 - 2018
- [c7]Rafik Grygoryan, Tetiana Aksenova, Anna Degoda:
Специализированный компьютерный симулятор «SimEnPhysiol» Specialised computer simulator "SimEnPhysiol". UkrPROG 2018: 280-287 - 2017
- [c6]Sarah Engel, Tetiana Aksenova, Andrey Eliseyev
Kernel-Based NPLS for Continuous Trajectory Decoding from ECoG Data for BCI Applications. LVA/ICA 2017: 417-426 - 2016
- [c5]Marie-Caroline Schaeffer, Tetiana Aksenova:
Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. ICANN (1) 2016: 288-296 - [c4]Tetiana Aksenova:
Simulations of hypertrophied heart's hemodynamics. UkrPROG 2016: 254-263 - 2014
- [c3]Andrey Eliseyev
CLINATEC® BCI platform based on the ECoG-recording implant WIMAGINE® and the innovative signal-processing: Preclinical results. EMBC 2014: 1222-1225 - 2011
- [c2]Andrey Eliseyev, Cecile Moro, Jean Faber, Alexander Wyss, Napoleon Torres, Corinne Mestais, Tetiana Aksenova, Alim-Louis Benabid:
Effective Selection of Electrode Subsets in BCI Experiments. IJCCI (NCTA) 2011: 437-443 - 2010
- [c1]Vladyslav V. Shaposhnyk, Alessandro E. P. Villa
Advances in structural modeling robust to outliers in explanatory and response variables. IJCNN 2010: 1-8
Coauthor Index
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