• Analyse de malwares et classification à l’aide de réseaux de neurones convolutionnels 1DPeer reviewedOpen access 

      2021, LEVEAU, Romain; LERAT, Jean-Sébastien, HE en Hainaut
      Article scientifique
      Les logiciels malveillants peuvent avoir des impacts particulièrement négatifs sur notre société, d’autant plus que celle-ci a de plus en plus recours à des systèmes informatiques. En vue de garantir la sécurité de ces systèmes, la détection et la prévention de ces logiciels malveillants sont nécessaires. Dans cette optique, l’objectif de ce travail est de procéder à une classification entre des ...
    • Comparaison des frameworks d’apprentissage profondPeer reviewedOpen access 

      2021, LERAT, Jean-Sébastien, HE en Hainaut
      Article scientifique
      L’apprentissage automatique est un ensemble de méthodes issues de l’intelligence artificielle qui visent à apprendre à l’aide de données. Au sein de ces méthodes, l’apprentissage profond se concentre sur des réseaux de neurones qui sont des modèles mathématiques dont l’objectif est de s’inspirer du fonctionnement du cerveau à l’aide de neurones artificiels. Ceux-ci sont très performants lorsqu’il ...
    • Cross-biome comparison of microbial association networksPeer reviewedClosed access 

      2015, Faust, Karoline; Lima-Mendez, Gipsi; LERAT, Jean-Sébastien; F. Sathirapongsasuti, Jarupon; Knight, Rob; Huttenhower, Curtis; Lenaerts, Tom; Raes, Jeroen, Autre
      Article scientifique
      Clinical and environmental meta-omics studies are accumulating an ever-growing amount of microbial abundance data over a wide range of ecosystems. With a sufficiently large sample number, these microbial communities can be explored by constructing and analyzing co-occurrence networks, which detect taxon associations from abundance data and can give insights into community structure. Here, we investigate ...
    • Efficiency of GPUs for Relational Database Engine ProcessingPeer reviewedClosed access 

      2016, CREMER, Samuel; Bagein, Michel; Mahmoudi, Saïd; Manneback, Pierre, HE en HainautAutre
      Article scientifique
      Relational database management systems (RDBMS) are still widely required by numerous business applications. Boosting performances without compromising functionalities represents a big challenge. To achieve this goal, we propose to boost an existing RDBMS by making it able to use hardware architectures with high memory bandwidth like GPUs. In this paper we present a solution named CuDB. We compare ...
    • Improving Performances of an Embedded Relational Database Management System with a Hybrid CPU/GPU Processing EnginePeer reviewedClosed access 

      2017, CREMER, Samuel; Bagein, Michel; Mahmoudi, Saïd; Manneback, Pierre, HE en HainautAutre
      Article scientifique
      End-user systems are increasingly impacted by the exponential growth of data volumes and their processing. Moreover, post-processing operations, essentially dedicated to ergonomic features, require more and more resources. Improving overall performances of embedded relational database management systems (RDBMS) can contribute to deliver better responsiveness of end-user systems while increasing the ...
    • Intracellular Pathways of Holothuroid Oocyte Maturation Induced by the Thioredoxin Trx-REESPeer reviewedOpen access 

      2021, Delroisse, Jérome; LEONET, Aline; Henri, Alexandre; Eeckhaut, Igor, HE en Hainaut
      Article scientifique
      Abstract: In holothuroids, oocyte maturation is stopped in ovaries at the prophase I stage of meiosis. In natural conditions, the blockage is removed during the spawning by an unknown mechanism. When oocytes are isolated by dissection, the meiotic release can be successfully induced by a natural inducer, the REES (i.e., Rough Extract of Echinoid Spawn) that is used in aquaculture to obtain ...
    • NAO,un nouvel outil d'aide à la gestion de classeOpen access 

      mai 2021, Kumps, Audrey; Bordart, Céline; Termperman, Gaetan; De Lièvre, Bruno; DESMET, Erwin; MALAISE, Antoine, HE en Hainaut
      Article scientifique
      Plusieurs études ont montré que ces robots sont de potentiels outils éducatifs, en particulier auprès d’élèves ayant des difficultés d'apprentissage. Parmi les robots, il existe les robots humanoïdes qui peuvent induire une expérience différente de l'apprentissage, passant d'un objet à manipuler à émergence de situations sociales et d’interaction à valence psychoaffective.
    • Single node deep learning frameworks: Comparative study and CPU/GPU performance analysisPeer reviewedClosed access 

      2021, LERAT, Jean-Sébastien; Mahmoudi, Sidi Ahmed; Mahmoudi, Saïd, HE en Hainaut
      Article scientifique
      Deep learning presents an efficient set of methods that allow learning from massive volumes of data using complex deep neural networks. To facilitate the design and implementation of algorithms, deep learning frameworks provide a high-level programming interface. Based on these frameworks, new models, and applications are able to make better and better predictions. One type of deep learning application ...
    • Thioredoxins induce oocyte maturation in holothuroids (Echinodermata)Peer reviewedOpen access 

      15 juillet 2019, LEONET, Aline; Delroisse, Jérôme; Schuddinck, Christopher; WATTIEZ, Ruddy; Jangoux, Michel; EECKHAUT, Igor, HE en Hainaut
      Article scientifique
      Chromatographic fractions of a rough extract of echinoid spawn (REES) is demonstrated to efficiently induce oocyte maturation in aspidochirote holothuroids. The method is so efficient that it is currently used in holothuriculture to obtain fertilised eggs even outside the reproductive period of the aquacultivated species. In the present study, we isolated and identified from echinoid spawns the ...