Pierre Boulet
Professeur des universités
CNU : SECTION 27 - INFORMATIQUE
Laboratoire / équipe
Publications
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"citationFull_s":"Mazdak Fatahi, Pierre Boulet, Giulia D’angelo. Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware. <i>Neuromorphic Computing and Engineering</i>, 2024, 4 (3), pp.034012. <a target=\"_blank\" href=\"https://dx.doi.org/10.1088/2634-4386/ad76d5\">⟨10.1088/2634-4386/ad76d5⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04699880v1\">⟨hal-04699880⟩</a>",
"title_s":["Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware","La détection de la côte près du rivage et du littoral basée sur des événements avec le matériel neuromorphique SpiNNaker"],
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"citationFull_s":"Thomas Firmin, Pierre Boulet, El-Ghazali Talbi. Parallel Hyperparameter Optimization Of Spiking Neural Networks. 2023. <a target=\"_blank\" href=\"https://hal.science/hal-04464394v1\">⟨hal-04464394⟩</a>",
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"citationFull_s":"Veronica Carlsson, Taniel Danelian, Martin Tetard, Mathias Meunier, Pierre Boulet, et al.. Convolutional neural network application on a new middle Eocene radiolarian dataset. <i>Marine Micropaleontology</i>, 2023, 183, pp.102268. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.marmicro.2023.102268\">⟨10.1016/j.marmicro.2023.102268⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04207164v1\">⟨hal-04207164⟩</a>",
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"citationFull_s":"Anne-Laure Ligozat, Kevin Marquet, Aurélie Bugeau, Julien Lefèvre, Pierre Boulet, et al.. How to Integrate Environmental Challenges in Computing Curricula?. <i>SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education</i>, Mar 2022, Providence RI USA, France. pp.899-905, <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3478431.3499280\">⟨10.1145/3478431.3499280⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03606210v1\">⟨hal-03606210⟩</a>",
"title_s":["How to Integrate Environmental Challenges in Computing Curricula?"],
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"citationFull_s":"Veronica Carlsson, Taniel Danelian, Pierre Boulet, Philippe Devienne, Aurelien Laforge, et al.. Artificial intelligence applied to the classification of eight middle Eocene species of the genus Podocyrtis (polycystine radiolaria). <i>Journal of Micropalaeontology</i>, 2022, 41 (2), pp.165-182. <a target=\"_blank\" href=\"https://dx.doi.org/10.5194/jm-41-165-2022\">⟨10.5194/jm-41-165-2022⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03962996v1\">⟨hal-03962996⟩</a>",
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"citationFull_s":"Veronica Carlsson, Taniel Danelian, Pierre Boulet, Philippe Devienne, Hammouda Elbez, et al.. Artificial Intelligence and Micropaleontology: a case study from the Eocene genus Podocyrtis. <i>27e édition de la Réunion des Sciences de la Terre</i>, SGF, CNRS, Laboratoire de Géologie de Lyon ou l’étude de la Terre, des planètes et de l’environnement, Nov 2021, Lyon, France. <a target=\"_blank\" href=\"https://hal.science/hal-03587759v1\">⟨hal-03587759⟩</a>",
"title_s":["Artificial Intelligence and Micropaleontology: a case study from the Eocene genus Podocyrtis"],
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"citationFull_s":"Perrine de Coëtlogon, Marc Durand, Maxime Jeantet, Claire Génin, Romuald Ramon, et al.. Les technologies blockchain au service du secteur public. [Rapport de recherche] Université de Lille (2018-..). 2021. <a target=\"_blank\" href=\"https://hal.science/hal-03232816v2\">⟨hal-03232816v2⟩</a>",
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"title_s":["VS2N : Interactive Dynamic Visualization and Analysis Tool for Spiking Neural Networks"],
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"citationFull_s":"Pierre Boulet, Sylvain Bouveret, Aurélie Bugeau, Frenoux Emmanuelle, Julien Lefevre, et al.. Référentiel de connaissances pour un numérique éco-responsable. [Rapport de recherche] EcoInfo. 2020. <a target=\"_blank\" href=\"https://hal.science/hal-02954188v1\">⟨hal-02954188⟩</a>",
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"citationRef_s":"<i>Data in Brief</i>, 2020, 33, pp.106334. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.dib.2020.106334\">⟨10.1016/j.dib.2020.106334⟩</a>",
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"citationRef_s":"<i>Springer Nature, Handbook of Memristor Networks</i>, <a target=\"_blank\" href=\"http://Springer Nature Switzerland AG\"></a>, In press, 978-3-319-76375-0. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-319-76375-0_25\">⟨10.1007/978-3-319-76375-0_25⟩</a>",
"citationFull_s":"Mahyar Shahsavari, Philippe Devienne, Pierre Boulet. Spiking Neural Computing in Memristive Neuromorphic Platforms. <i>Springer Nature, Handbook of Memristor Networks</i>, <a target=\"_blank\" href=\"http://Springer Nature Switzerland AG\"></a>, In press, 978-3-319-76375-0. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-319-76375-0_25\">⟨10.1007/978-3-319-76375-0_25⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02172472v1\">⟨hal-02172472⟩</a>",
"title_s":["Spiking Neural Computing in Memristive Neuromorphic Platforms"],
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"citationFull_s":"Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet. Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?. <i>Pattern Recognition</i>, 2019, 93, pp.418-429. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.patcog.2019.04.016\">⟨10.1016/j.patcog.2019.04.016⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02146284v1\">⟨hal-02146284⟩</a>",
"title_s":["Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?"],
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"citationRef_s":"<i>International Joint Conference on Neural Networks (IJCNN)</i>, Jul 2019, Budapest, Hungary",
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"title_s":["Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP"],
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"citationFull_s":"Khalil Ibrahim Hamzaoui, Mohammed Berrajaa, Mostafa Azizi, Giuseppe Lipari, Pierre Boulet. Measurement-based Methodology for Modeling the Energy Consumption of Mobile Devices. <i>International Journal of Reasoning-based Intelligent Systems</i>, In press. <a target=\"_blank\" href=\"https://hal.science/hal-02243352v1\">⟨hal-02243352⟩</a>",
"title_s":["Measurement-based Methodology for Modeling the Energy Consumption of Mobile Devices"],
"authFullName_s":["Khalil Ibrahim Hamzaoui","Mohammed Berrajaa","Mostafa Azizi","Giuseppe Lipari","Pierre Boulet"],
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"citationRef_s":"<i>3rd International Conference on Multimedia Information Processing, CITIM’2018</i>, Oct 2018, Mascara, Algeria",
"citationFull_s":"Hammouda Elbez, Kamel Benhaoua, Philippe Devienne, Pierre Boulet. Visualization Techniques in SNN Simulators. <i>3rd International Conference on Multimedia Information Processing, CITIM’2018</i>, Oct 2018, Mascara, Algeria. <a target=\"_blank\" href=\"https://hal.science/hal-02887481v1\">⟨hal-02887481⟩</a>",
"title_s":["Visualization Techniques in SNN Simulators"],
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"citationFull_s":"Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco, Philippe Devienne, Pierre Boulet. Mastering the Output Frequency in Spiking Neural Networks. <i>International Joint Conference on Neural Networks (IJCNN)</i>, Jul 2018, Rio de Janeiro, Brazil. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01741500v1\">⟨hal-01741500⟩</a>",
"title_s":["Mastering the Output Frequency in Spiking Neural Networks"],
"authFullName_s":["Pierre Falez","Pierre Tirilly","Ioan Marius Bilasco","Philippe Devienne","Pierre Boulet"],
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"citationRef_s":"<i>Biologically Inspired Cognitive Architectures</i>, 2018, 24, pp.59 - 69. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.bica.2018.04.009\">⟨10.1016/j.bica.2018.04.009⟩</a>",
"citationFull_s":"Mazdak Fatahi, Mahyar Shahsavari, Mahmood Ahmadi, Arash Ahmadi, Pierre Boulet, et al.. Rate-coded DBN: An online strategy for spike-based deep belief networks. <i>Biologically Inspired Cognitive Architectures</i>, 2018, 24, pp.59 - 69. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.bica.2018.04.009\">⟨10.1016/j.bica.2018.04.009⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01808815v1\">⟨hal-01808815⟩</a>",
"title_s":["Rate-coded DBN: An online strategy for spike-based deep belief networks"],
"authFullName_s":["Mazdak Fatahi","Mahyar Shahsavari","Mahmood Ahmadi","Arash Ahmadi","Pierre Boulet","Philippe Devienne"],
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