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Publications

Publications depuis 2008

Vous pouvez retrouver les publications du laboratoire depuis 2008 sur le site des archives ouvertes du CNRS, et utiliser le moteur de recherche pour accéder à une publication particulière (onglets "Consultation" ou "Recherche simple").

Les publications des équipes depuis 2008 peuvent être également consultées à partir des liens suivants :

Publications antérieures à 2008

Les publications plus anciennes se trouvent à cette adresse.

10 most recent publications

[tel-02945304] Visuomotor learning, implications for sensorimotor development and emergence of social interactions

This thesis try to bring answers to the question of the sensorimotor learning and development in the context of human-robot interactions in a real non-constrained environment. To achieve this goal we defend in this thesis the fact that human being interacts through intentional and conscious strategy but also depends of the property of their low level motor system, their body, and of their sensorimotor learning loops, allowing these to facilitate implicitly this interaction. [...]

[hal-03006149] Design of High-Performance and Area-Efficient Decoder for 5G LDPC Codes

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[hal-02956134] A Highly Sensitive Neural Network-Based algorithm For Assessing the Cleanliness of Small Bowel During Capsule Endoscopy

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[hal-02934724] Etude de la coordination interpersonnelle de patients souffrant de schizophrénie en Interaction Homme Robot

L'objectif de cette étude est d'analyser la coordination interpersonnelle chez les patients schizophrènes (SZ) en utilisant un robot humanoïde contrôlé par un modèle neuronal entraîné par le mouvement humain et capable de se synchroniser sur ce dernier. [...]

[hal-02922205] Analytic Inversion of a Radon Transform on Double Circular Arcs With Applications in Compton Scattering Tomography

In this work we introduce a new Radon transform which arises from a new modality of Compton Scattering Tomog-raphy (CST). This new system is made of a single detector rotating around a fixed source. Unlike some previous CST, no collimator is used at the detector. [...]

[hal-01704208] Optimized Data Management for E-Learning in the Clouds towards Cloodle

Cloud computing provides access to "infinite" storage and computing resources, offering promising perspectives for many applications, particularly e-learning. However, this new paradigm requires rethinking of database management principles in order to allow deployment on scalable, easy to access infrastructures, applying a pay-as-you-go model in which failures are not exceptions but rather the norm. [...]

[hal-02906973] DNNZip: Selective Layers Compression Technique in Deep Neural Network Accelerators

In Deep Neural Network (DNN) accelerators, the on-chip traffic and memory traffic accounts for a relevant fraction of the inference latency and energy consumption. A major component of such traffic is due to the moving of the DNN model parameters from the main memory to the memory interface and from the latter to the processing elements (PEs) of the accelerator. [...]

[hal-03018998] Using Twitter Streams for Opinion Mining: a case study on Airport Noise

This paper proposes a classification model for opinion mining around airport noise based on techniques such as event detection and sentiment analysis applied on Twitter posts. Tweets are retrieved using the Twitter API either because of location or content. [...]

[hal-03019519] Exploring dynamic multilayer graphs for digital humanities

The paper presents Intergraph, a graph-based visual analytics technical demonstrator for the exploration and study of content in historical document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. [...]

[hal-02903208] Efficient Compression Technique for NoC-based Deep Neural Network Accelerators

Deep Neural Networks (DNNs) are very powerful neural networks, widely used in many applications. On the other hand, such networks are computation and memory intensive, which makes their implementation difficult onto hardware-constrained systems, that could use network-on-chip as interconnect infrastructure. [...]