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956 research outcomes, page 1 of 96
  • publication . Conference object . 2021
    English
    Authors:
    Barbosa, Manuel; Barthe, Gilles; Bhargavan, Karthik; Blanchet, Bruno; Cremers, Cas; Liao, Kevin; Parno, Bryan;
    Publisher: HAL CCSD
    Project: EC | CIRCUS (683032), ANR | TECAP (ANR-17-CE39-0004), NSF | SaTC: CORE: Medium: Colla... (1801369)

    International audience; Computer-aided cryptography is an active area of research that develops and applies formal, machine-checkable approaches to the design, analysis, and implementation of cryptography. We present a cross-cutting systematization of the computer-aided...

  • publication . Preprint . Article . 2021
    English
    Authors:
    Frigo, Matteo; Cruciani, Emilio; Coudert, David; Deriche, Rachid; Deslauriers-Gauthier, Samuel; Natale, Emanuele;
    Publisher: HAL CCSD
    Project: EC | CoBCoM (694665), NIH | Mapping the Human Connect... (3U54MH091657-03S1)

    International audience; The interactions between different brain regions can be modeled as a graph, called connectome, whose nodes correspond to parcels from a predefined brain atlas. The edges of the graph encode the strength of the axonal connectivity between regions ...

  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Yutong Ban; Xavier Alameda-Pineda; Laurent Girin; Radu Horaud;
    Persistent Identifiers
    Publisher: HAL CCSD
    Project: EC | VHIA (340113)

    Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence; In this paper we address the problem of tracking multiple speakers via the fusion of visual and auditory information. We propose to exploit the complementary nature of these two modalities in o...

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Bietti, Alberto; Bach, Francis;
    Publisher: HAL CCSD
    Project: EC | SEQUOIA (724063), ANR | PRAIRIE (ANR-19-P3IA-0001)

    International audience; Deep networks are often considered to be more expressive than shallow ones in terms of approximation. Indeed, certain functions can be approximated by deep networks provably more efficiently than by shallow ones, however, no tractable algorithms ...

  • publication . Contribution for newspaper or weekly magazine . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Arthaud, Farid; Bawden, Rachel; Birch, Alexandra;
    Project: UKRI | MTStretch: Low-resource M... (EP/S001271/1), EC | GoURMET (825299)

    Machine translation (MT) models used in industries with constantly changing topics, such as translation or news agencies, need to adapt to new data to maintain their performance over time. Our aim is to teach a pre-trained MT model to translate previously unseen words a...

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  • publication . Conference object . 2021
    English
    Authors:
    Kojčić, Ivana; Papadopoulo, Théodore; Deriche, Rachid; Deslauriers-Gauthier, Samuel;
    Publisher: HAL CCSD
    Project: NIH | Mapping the Human Connect... (3U54MH091657-03S1), EC | CoBCoM (694665)

    International audience; White matter fibers transfer the information between brain regions with delays that are measurable with magnetoencephalography and electroencephalography (M/EEG). In the context of regularizing the dynamics of M/EEG and recovering electrical acti...

  • publication . Conference object . 2021
    English
    Authors:
    Zucchelli, Mauro; Deslauriers-Gauthier, Samuel; Deriche, Rachid;
    Publisher: HAL CCSD
    Project: EC | CoBCoM (694665), ANR | 3IA@cote d'azur (ANR-19-P3IA-0002), NIH | Mapping the Human Connect... (3U54MH091657-03S1)

    International audience; In this work, we evaluate the performance of three different diffusion MRI (dMRI) signal representations in the estimation of brain microstructural indices in combination with fully connected neural networks (FC-NN). The considered signal represe...

  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Koval, Igor; Bône, Alexandre; Louis, Maxime; Lartigue, Thomas; Bottani, Simona; Marcoux, Arnaud; Samper-Gonzalez, Jorge; Burgos, Ninon; Charlier, Benjamin; Bertrand, Anne; ...
    Persistent Identifiers
    Publisher: HAL CCSD
    Project: EC | VirtualBrainCloud (826421), ANR | PRAIRIE (ANR-19-P3IA-0001), NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), EC | LEASP (678304), CIHR , EC | EuroPOND (666992)

    AbstractAlzheimer’s disease (AD) is characterized by the progressive alterations seen in brain images which give rise to the onset of various sets of symptoms. The variability in the dynamics of changes in both brain images and cognitive impairments remains poorly under...

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  • publication . Article . 2021
    English
    Authors:
    Burgos, Ninon; Cardoso, M. Jorge; Samper-González, Jorge; Habert, Marie-Odile; Durrleman​, Stanley; Ourselin, Sébastien; Colliot, Olivier;
    Publisher: HAL CCSD
    Project: NIH | Alzheimers Disease Neuroi... (1U01AG024904-01), NIH | The Frontotemporal Lobar ... (5R01AG032306-02), ANR | PRAIRIE (ANR-19-P3IA-0001), EC | PRESTIGE (609102), EC | LEASP (678304), CIHR

    International audience; Purpose:In clinical practice, positron emission tomography (PET) images are mostly analysed visually, but the sensitivity and specificity of this approach greatly depends on the observer's experience. Quantitative analysis of PET images would all...

  • publication . Article . 2021
    Restricted English
    Authors:
    Xavier Detinguy; Claudio Pacchierotti; Anatole Lécuyer; Maud Marchal;
    Persistent Identifiers
    Publisher: HAL CCSD
    Project: EC | H-Reality (801413)

    International audience; We combine tracking information from a tangible object instrumented with capacitive sensors and an optical tracking system, to improve contact rendering when interacting with tangibles in VR. A human-subject study shows that combining capacitive ...

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956 research outcomes, page 1 of 96