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Journal Articles
- 2010
[j1]Norman Poh, David Windridge
, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev:
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Trans. Inf. Forensics Secur. 5(3): 461-469 (2010)
Conference and Workshop Papers
- 2017
- [c8]Sarah Engel, Tetiana Aksenova, Andrey Eliseyev:
Kernel-Based NPLS for Continuous Trajectory Decoding from ECoG Data for BCI Applications. LVA/ICA 2017: 417-426 - 2014
- [c7]Andrey Eliseyev, Corinne Mestais, Guillaume Charvet, Fabien Sauter, Neil Abroug, Nana Arizumi, Serpil Cokgungor, Thomas Costecalde, Michael Foerster, Louis Korczowski, Boris Moriniere, Jean Porcherot, Jeremy Pradal, David Ratel, Nicolas Tarrin, Napoleon Torres-Martinez, Alexandre Verney, Tetiana Aksenova, Alim-Louis Benabid:
CLINATEC® BCI platform based on the ECoG-recording implant WIMAGINE® and the innovative signal-processing: Preclinical results. EMBC 2014: 1222-1225 - 2011
- [c6]Andrey Eliseyev, Jean Faber, Tatiana I. Aksenova:
Classification of multi-modal data in a self-paced binary BCI in freely moving animals. EMBC 2011: 7147-7150 - [c5]Andrey Eliseyev, Alim-Louis Benabid, Tatyana I. Aksenova:
Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System. ICANN (2) 2011: 17-24 - [c4]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 - 2009
- [c3]David Windridge, Norman Poh, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev:
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. MCS 2009: 161-170 - 2008
- [c2]Alexander Tatarchuk, Vadim Mottl, Andrey Eliseyev, David Windridge:
Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. ICPR 2008: 1-4 - 2007
- [c1]David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev:
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. MCS 2007: 13-21
Coauthor Index
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