91 citations
- Centre National de la Recherche ScientifiqueFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR4 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- Institut Polytechnique de ParisFR3 papers
- Hôpital Gui de ChauliacFR2 papers
- IBM (Germany)DE2 papers
- IBM Research - ZurichCH2 papers
- IBM (United States)US2 papers
- Laboratoire de Neurosciences CognitivesFR2 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR2 papers
- Statistics BelgiumBE2 papers
- Université de MontpellierFR2 papers
22 papers
Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding
Paul Barbaste, Olivier Oullier, Xavier Vasques
Robust decoding and classification of brain patterns measured with electroencephalography (EEG) remains a major challenge for real-world (i.e. outside scientific lab and medical fa…
Adaptive Tetrahedral Grids for Volumetric Path-Tracing
Anis Benyoub, Jonathan Dupuy
We advertise the use of tetrahedral grids constructed via the longest edge bisection algorithm for rendering volumetric data with path tracing. The key benefits of such grids is tw…
A 3d particle visualization system for temperature management
Benoit Lange, Nancy Rodriguez, William Puech +2
This paper deals with a 3D visualization technique proposed to analyze and manage energy efficiency from a data center. Data are extracted from sensors located in the IBM Green Dat…
Automatic target validation based on neuroscientific literature mining for tractography
Xavier Vasques, Renaud Richardet, Sean L Hill +6
Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied.…
Morphological Neuron Classification Using Machine Learning
Xavier Vasques, Laurent Vanel, Guillaume Villette +1
Classification and quantitative characterization of neuronal morphologies from histological neuronal reconstruction is challenging since it is still unclear how to delineate a neur…
Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
Victor Martinez, Armando Angrisani, Ekaterina Pankovets +2
As quantum devices continue to grow in size but remain affected by noise, it is crucial to determine when and how they can outperform classical computers on practical tasks. A cent…